University of California SAN DIEGO DEPARTMENT OF ECONOMICS Placement Packet: 2015-16 Job Market Candidates October 2015 UNIVERSITY OF CALIFORNIA, SAN DIEGO UCSD BERKELEY DAVIS IRVINE LOS ANGELES MERCED RIVERSIDE SAN DIEGO SAN FRANCISCO DEPARTMENT OF ECONOMICS (858) 534-1867 (858) 822-5692 FAX SANTA BARBARA SANTA CRUZ 9500 GILMAN DRIVE #0508 LA JOLLA, CALIFORNIA 92093-0508 October 2015 Dear Colleague, The purpose of this letter is to introduce our 2015-16 Job Market candidates to you. Each of the candidates listed below has either completed requirements for their PhD or is expected to do so by the end of the current academic year. The candidates are listed in alphabetical order and I have included a copy of each candidate’s CV. In addition to the material contained in this letter, the Job Market Webpage has links to the personal websites of the candidates which contain additional information. All candidates expect to be available for interviews at the AEA meetings in Boston in January 2016. The candidates along with their fields are: Chen-Zion, Ayal Primary: Industrial Organization, Labor Economics Secondary: Microeconomic Theory Hirshleifer, Sarojini Primary: Development Economics Secondary: Behavioral/Experimental Economics, Labor Economics Hwang, Jungbin Primary: Econometrics Levere, Michael Primary: Development Economics, Public Economics Secondary: Labor Economics Mackay, Robert Primary: Finance, Public Economics Secondary: Econometrics, Labor Economics Rezaee, Arman Primary: Development Economics, Public Economics Roth Tran, Brigitte Primary: Environmental and Resource Economics, Finance Secondary: Industrial Organization Sanchez, Alison Primary: Behavioral/Experimental Economics Steiner, Christopher Primary: Environmental and Resource Economics Secondary: Public Economics If you require any additional information please do not hesitate to contact me or the advisor of the candidate in question. Advisor contact information follows and can also be found on each candidate’s CV. Sincerely, Michelle While Professor Placement Director miwhite@ucsd.edu 858-534-2783 University of California, San Diego Department of Economics Job Market Contact List 2015-16 STUDENT ADVISOR TELEPHONE/EMAIL Ayal Chen-Zion achenzio@ucsd.edu http://econweb.ucsd.edu/~achenzio James E. Rauch (858) 534-2405 jrauch@ucsd.edu Sarojini Hirshleifer shirshleifer@ucsd.edu http://econweb.ucsd.edu/~shirshle Gordon B. Dahl (858) 822-0644 gdahl@ucsd.edu (858)534-2425 muralidharan@ucsd.edu Jungbin Hwang j6hwang@ucsd.edu http://econweb.ucsd.edu/~j6hwang Yixiao Sun (858) 534-4692 yisun@ucsd.edu Michael Levere mlevere@ucsd.edu http://econweb.ucsd.edu/~mlevere Prashant Bharadwaj (858) 822-6760 prbharadwaj@ucsd.edu Karthik Muralidharan Robert Mackay Julie Berry Cullen robertcmackay@gmail.com https://sites.google.com/site/robertcmackay/home (858) 822-2056 jbcullen@ucsd.edu Arman Rezaee arezaee@ucsd.edu http://econweb.ucsd.edu/~arezaee/ Eli Berman (858) 534-2858 elib@ucsd.edu Brigitte Roth Tran brothtran@ucsd.edu http://econweb.ucsd.edu/~brothtra Richard Carson (858) 822-2262 rcarson@ucsd.edu Alison Sanchez alsanche@ucsd.edu http://econweb.ucsd.edu/~alsanche James Andreoni (858) 534-3832 andreoni@ucsd.edu Christopher Steiner chrispaulsteiner@outlook.com http://www.cpsteiner.com/ Richard T. Carson (858) 822-2262 rcarson@ucsd.edu AYAL Y. CHEN-ZION ECONOMICS DEPARTMENT UNIVERSITY OF CALIFORNIA, SAN DIEGO Placement Officer: Placement Assistant: Michelle White (858) 534-2783 CONTACT INFORMATION miwhite@ucsd.edu econphdadvising@ucsd.edu DEPARTMENT ADDRESS Department of Economics, 0508 University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0508 achenzio@ucsd.edu (818) 635-2826 Citizenship: U.S., Israel GRADUATE EDUCATION University of California, San Diego PhD in Economics, 2011 - (expected) June 2016 MA in Economics, 2011 - 2013 THESIS TITLE: Economics of Information on Networks THESIS COMMITTEE AND REFERENCES: James E. Rauch (Chair) UCSD Economics jrauch@ucsd.edu Gordon B. Dahl UCSD Economics gdahl@ucsd.edu Joseph Engelberg Rady, UCSD School of Management jengelberg@ucsd.edu UNDERGRADUATE EDUCATION American University BS in Mathematics and Economics (summa cum laude), 2008 - 2011 DESIRED RESEARCH AND TEACHING Primary Fields: Industrial Organizations, Labor Economics Secondary Fields: Microeconomic Theory PROFESSIONAL EXPERIENCE June 2015 – Sept 2015: Glassdoor, Inc. , Economic Research - Research Fellow for Labor Relations Jan 2015 – June 2015: UCSD, Dept. of Economics - Research Assistant - Prof. Marc-Andreas Muendler July 2013 - Dec 2014: UCSD, Dept. of Economics - Research Assistant - Prof. James Rauch Jan 2011 - Aug 2011: American University, Dept. of Management, Research Assistant - Prof. Alexandra Mislin FELLOWSHIPS, GRANTS AND PRIZES 2015: Research Fellow for Labor Relations, Glassdoor, Inc. 2014: Candidate of Philosophy Fellowship, UC San Diego Summer Graduate Research Fellowship, UC San Diego 2012: Summer Graduate Research Fellowship, UC San Diego Tuition Scholarship, UC San Diego 2011: Ruth Dewey Meade Prize for Outstanding Research Paper in Economics, American University Economics Department Phi Beta Kappa, American University JOB MARKET PAPER The Beginning of a Beautiful Friendship: The Impact of Hiring-Cohort Connections on Job Referral Connections with co-workers are important for labor mobility. Co-workers that were hired at the same time, the hiring-cohort, “go through the fire” of starting together and this paper finds that they serve as unique sources of job referral later in life. A simple model of relationship formation from Chen-Zion and Rauch (2015) results in a tendency for connections to persist over time. Theory implies that a worker’s hiring-cohort is an important source of employment opportunities because of their established working relationship. This paper is able to study how hiring-cohort co-workers influence where a displaced worker is hired by using a Brazilian employee-employer dataset. The existence of hiring-cohort co-workers and the quantity of co-workers have a significant positive effect on the probability of job acquisition following unemployment. This paper adds to the literature on job referral in two ways: (1) it addresses biases associated with inferred job referral and (2) it explores how the history and quantity of former coworkers can lead to heterogeneity in the impact of a connection. A hiring-cohort co-worker increases the chance of going to a plant by 1.5-fold which is equivalent to increasing the number of connections at a plant by 43.5%. This result is robust to placebo tests and controlling for selection on unobservable characteristics (with a peers-of-peers instrument). RESEARCH IN PROGRESS History Dependence in Networks of Close Relationships Theory and Evidence from Cohort Attachment in Employee Entrepreneurship, with James E Rauch We develop a model of costly network formation in which agents learn about the quality of their matches. By retaining good connections, agents become increasingly reluctant to form matches of unknown quality, leading their networks to be front-loaded with agents they met near the beginning of their careers. This reluctance naturally gives rise to “cohort attachment”: new agents form links with each other because the agents already there are reluctant to form links with them. We examine the possible influence of membership in the same cohort on which co-workers an employee entrepreneur brings from a parent firm to his spinoff firm. Using matched employer-employee data for Brazil during the period 1995-2001, we find evidence that is consistent with our theory and provides a rich picture of the personnel aspect of firm formation. After controlling for similarity between co-worker and entrepreneur characteristics and for tenure overlap with the entrepreneur, we find that parent firm employees hired in the same first plant and same cohort as the entrepreneur were 21 percent more likely to join him at the spinoff than other parent employees hired in the same first plant. A Networked Market for Information, with S Nageeb Ali and Erik Lillethun PRIVATE SECTOR STUDIES Who Competes for Job Seekers? Visualizing the Labor Market with Glassdoor Data, Glassdoor Research Report, September 2015. TEACHING EXPERIENCE Teaching Assistant, UC San Diego, Fall 2011 – Fall 2015 Operations Research (x2), Game Theory (x2), Corporate Finance, Intermediate Econometrics, Intermediate Microeconomics (x2), Market Imperfections & Policy (x2) COMPUTER SKILLS R, Python, SAS, Stata, Matlab, Tableau, SQL, LaTeX, HTML PROFESSIONAL ACTIVITIES INVITED PRESENTATIONS 2015: 20th Coalition Theory Network Workshop (Venice, Italy) 2014: UCSD Theory Seminar LAST UPDATED: OCTOBER 15TH, 2015 September 30, 2015 SAROJINI R. HIRSHLEIFER ECONOMICS DEPARTMENT UNIVERSITY OF CALIFORNIA, SAN DIEGO Placement Officer: Placement Assistant: Michelle White Jacqueline Tam (858) 534-2783 (858) 822-3502 miwhite@ucsd.edu jytam@ucsd.edu CONTACT INFORMATION DEPARTMENT ADDRESS http://econweb.ucsd.edu/~shirshle/ shirshleifer@ucsd.edu (510) 710-8867 Citzenship: U.S. Department of Economics, 0508 University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0508 GRADUATE EDUCATION University of California, San Diego PhD in Economics (expected June 2016) MA in Economics, 2011 THESIS TITLE: Incentives, Human Capital, and Productivity THESIS COMMITTEE AND REFERENCES: Gordon Dahl (co-Chair) UCSD Economics (858) 822-0644 gdahl@ucsd.edu Karthik Muralidharan (co-Chair) UCSD Economics (858) 534-2425 kamurali@ucsd.edu Craig McIntosh UCSD School of Global Policy and Strategy (858) 822-1125 ctmcintosh@ucsd.edu James Andreoni UCSD Economics (858) 822-1125 andreoni@ucsd.edu UNDERGRADUATE EDUCATION University of California, Berkeley B.A. with Highest Honors in Economics and Distinction in General Scholarship, 2004 Thesis title: “An Allocative Resource Model: Social Capital and the Economics of Identity” Thesis advisor: George Akerlof DESIRED RESEARCH AND TEACHING Primary Fields: Development Economics, Field Experiments, Labor Economics Secondary Fields: Behavioral Economics, Public Economics GRANTS AND FELLOWSHIPS GRANTS 2015: PEDL Exploratory Grant (PI with Arman Rezaee and Benjamin Kachero) CEGA-EASST Research Grant (co-PI with Arman Rezaee, Benjamin Kachero, Craig McIntosh) UCSD Economics Department Research Grant September 30, 2015 2014: PDEL Pilot Research Grant (co-PI with Karthik Muralidharan) J-PAL Post-Primary Education Grant (co-PI with Karthik Muralidharan) PDEL Graduate Student Research Grant (PI) UCSD Economics Department Research Grant FELLOWSHIPS 2012: Summer Graduate Research Fellowship, UC San Diego 2011: Summer Graduate Research Fellowship, UC San Diego 2010: Graduate Research Fellowship, UC San Diego (2010-2011) JOB MARKET PAPER Hirshleifer, S., “Incentives for Effort or Outputs? A Field Experiment to Improve Student Performance” One key choice in designing an incentive is whether to reward the actions and behaviors that lead to desired outcomes (effort/inputs) or the desired outcomes themselves (outputs). I conduct a novel direct test of an effort-based input incentive against an output incentive as well as a control in the context of randomized experiment with school children in India. A math software curriculum is implemented in all classrooms regardless of which activity is incentivized--it includes learning modules (the incentivized input) that are completed throughout a unit as well as a test at the end of the unit (the incentivized output). The two incentives are both are piecerate, have the same maximum value and are announced at the beginning of each unit. A second non-incentivized test measures learning outcomes. Students who receive an input incentive perform .57 standard deviations better than the control group on the outcome test, which is also substantially and statistically significantly larger different from the impact of the output incentive. The input incentive is also almost twice as cost-effective the output incentive. This large increase in outcomes for students who receive the input incentive is accompanied by a similar increase in rewarded effort. The input incentive works better for present-biased students along an incentive-compatible measure of time preferences collected at baseline. This result has relevance to policy while informing the principal-agent and time preference literatures. Funding: J-PAL Post-Primary Education Fund, PDEL Pilot Research Grant, PDEL Graduate Student Research Grant ACADEMIC PUBLICATIONS Hirshleifer, S., McKenzie, D., Almeida, R. & Ridao-Cano, C. “The Impact of Vocational Training for the Unemployed: Experimental Evidence from Turkey,” forthcoming, Economic Journal We evaluate Turkey’s vocational training programs and thus provide the first randomized experiment of vocational training program offered to the general unemployed population in a developing country setting. Linking participants to social security data enables us to trace the long-term trajectory of impacts on formal employment as well as avoiding the attrition and measurement concerns that face existing studies in developing countries. A large sample, containing both youth and older unemployed, as well as courses offered by the private and the public sector, enables us to examine the effectiveness of such training for a wider range of demographic characteristics and course types than existing literature. The average impact of training on employment is positive but close to zero and statistically insignificant, which is much lower than program officials and applicants expected. Over the first year, training had statistically significant effects on the quality of employment and these positive impacts are stronger when training is offered by September 30, 2015 private providers. However, administrative data show that after three years these effects have also dissipated. Funding: Spanish Impact Evaluation Fund (SIEF), the Gender Action Plan, the World Bank's Research Support Budget and ISKUR WORK IN PROGRESS Hirshleifer, S., Rezaee, A & Kachero, B. “Increasing SME productivity in Uganda: Leveraging clusters to train and scale” Low productivity is a major constraint to growth in developing countries (in both agricultural and nonagricultural sectors). Furthermore, recent micro-level evidence finds that small business owners and farmers do not fully understand how to optimize their production processes suggesting that knowledge may be a barrier to productivity growth. Small firms may also face challenges in reaching the scale required to access markets. Market segmentation is a potentially important, and understudied aspect of firm growth in developing countries. This study conducts an randomized experiment to evaluate a cluster-level intervention in Uganda targeted to SMEs that: (i) provides technical training that is designed to increase productivity, and (ii) brings firms together as a cluster to facilitate market segmentation. Current funding: CEGA-EASST Research Grant, PEDL Exploratory Grant TEACHING EXPERIENCE Teaching Assistant, UC San Diego, Fall 2010 – Spring 2015 Intermediate Microeconomics I, II, III, and Intermediate Econometrics I Development Economics (Prof. Karthik Muralidharan) Experimental Economics (Prof. James Andreoni) Economics of Public Policy Teaching Assistant, SIEF Impact Evaluation Workshop, Sarajevo, Bosnia and Herzegovina, September 21-25 2009 Guided policymakers from Eastern Europe in developing rigorous impact evaluations of social programs RELEVANT POSITIONS HELD Economist, Human Development Economics Team, Europe and Central Asia Division, January 2009 – July 2010, World Bank, Washington DC Advised governments on active labor market policy, training, and the welfare impacts of the economic crisis in Eastern Europe Conducted nationally representative household surveys and worked with National Statistical Institutes to development new modules for existing national surveys Field Manager, ideas42 at Harvard University, Denpasar, Indonesia, December 2007 – December 2008 Managed data collection and field experiment on the technology adoption behavior of seaweed farmers in rural Indonesia. September 30, 2015 MAHP Research Coordinator, Innovations for Poverty Action, Cotonou, Benin (and New Haven, CT), August 2006 – November 2007 Coordinated design and launch of the randomized controlled evaluation of a joint malaria education and microcredit program for Prof. Dean Karlan (Yale University) Research Analyst, World Development Report 2007, Development Research Group, World Bank, Washington, DC, August 2005 – July 2006 Co-authored education chapter, focusing on policies to stimulate demand for education (incentives, information, credit access) Research Assistant, Financial Economics Team, Development Research Group, World Bank, Washington, DC, September 2004 – July 2005 POLICY REPORTS Bulgaria: Household Welfare during the 2010 Recession and Recovery (with team led by Emil Daniel Tesliuc and Boyan Zahariev) World Bank, 2012 Skills, Not Just Diplomas: Managing Education for Results in Eastern Europe and Central Asia (contributor, lead authors: Lars Sondergaard and Mamta Murthi), World Bank, 2012 The Jobs Crisis: Household and Government Responses to the Great Recession in Europe and Central Asia, (with core team led by Mohemad Ihsan Ajwad) World Bank, 2011 World Development Report 2007: Development and the Next Generation (with team led by Emmanuel Jimenez), World Bank, 2006. PROFESSIONAL ACTIVITIES INVITED PRESENTATIONS 2015: North-East Universities Development Consortium (NEUDC) Economic Science Association (ESA) All-California Labor Economics Conference (ACLEC) (poster) 2014: Pacific Development Conference (Pac-Dev) Journal Referee: Journal of Public Economics, Journal of Development Economics Oct. 14, 2015 Jungbin Hwang ECONOMICS DEPARTMENT UNIVERSITY OF CALIFORNIA, SAN DIEGO Placement Director: Placement Assistant: Michelle White Jacqueline Tam HOME ADDRESS AND TELEPHONE: 4089 Nobel Drive Unit 9, San Diego, CA 92122 (619) 306-1850 j6hwang@ucsd.edu http://econweb.ucsd.edu/~j6hwang/ (858)-534-2783 (858)-822-3502 miwhite@ucsd.edu jytam@ucsd.edu OFFICE ADDRESS AND TELEPHONE: Department of Economics University of California, San Diego 9500 Gilman Drive, 0534 La Jolla, CA 92093-0534 (858) 534-1867 EDUCATION: University of California, San Diego Doctor of Philosophy in Economics, 2016 (expected). Advisor: Yixiao Sun Seoul National University Master of Arts in Economics, 2010 Advisor: Jae-Young Kim Bachelor of Arts in Economics, 2008 DESIRED TEACHING AND RESEARCH: Primary Fields: Econometrics. Secondary Fields: Applied Econometrics, Financial Econometrics. THESIS COMMITTEE AND REFERENCES: Prof. Yixiao Sun (Chair) University of California, San Diego Economics Department 9500 Gilman Dr. #0508 La Jolla, CA 92093-0508 858-534-4692 yisun@ucsd.edu Prof. Graham Elliot University of California, San Diego Economics Department 9500 Gilman Dr. #0508 La Jolla, CA 92093-0508 858-534-7040 grelliott@ucsd.edu Prof. Andres Santos University of California, San Diego Economics Department 9500 Gilman Dr. #0508 La Jolla, CA 92093-0508 858-534-2407 a2santos@ucsd.edu Oct. 14, 2015 WORKING PAPERS: New Asymptotic Theory for Two-step Efficient GMM and Continuously-updating GMM Under Clustered Dependence (Job Market Paper) This paper develops new asymptotic theory for two-step GMM estimation and inference in the presence of clustered dependence. While conventional asymptotic theory completely ignores the variability in clusterrobust GMM weighting matrix, the new asymptotic theory takes it into account, leading to more accurate approximations. The key difference between these two types of asymptotics is whether the number of clusters G is regarded as fixed or growing as the sample size increases. Under the new fixed-G asymptotics, the centered two-step GMM estimator and two continuously-updating estimators have the same asymptotic mixed normal distribution. In addition, the trinity of two-step GMM statistics, the t statistic, and the J statistic are all asymptotically pivotal, and each can be modified to have an asymptotic standard F distribution or t distribution. A finite sample variance correction is suggested to further improve the accuracy of the F or t approximation. Our proposed asymptotic F and t tests are very appealing to practitioners, as test statistics are simple modifications of the usual test statistics, and the F or t critical values are readily available from standard statistical tables. A Monte Carlo study clearly demonstrates that our proposed tests are much more accurate than existing tests. Should We Go One Step Further? - An Accurate Comparison of One-step and Two-step Procedures in a Generalized Method of Moments Framework (with Yixiao Sun, Submitted) According to the conventional asymptotic theory, the two-step Generalized Method of Moments (GMM) estimator and test perform as least as well as the one-step estimator and test in large samples. The conventional asymptotic theory, as elegant and convenient as it is, completely ignores the estimation uncertainty in the weighting matrix, and as a result it may not reflect finite sample situations well. In this paper, we employ the fixed-smoothing asymptotic theory that accounts for the estimation uncertainty, and compare the performance of the one-step and two-step procedures in this more accurate asymptotic framework. We show the two-step procedure outperforms the one-step procedure only when the benefit of using the optimal weighting matrix outweighs the cost of estimating it. This qualitative message applies to both the asymptotic variance comparison and power comparison of the associated tests. A Monte Carlo study lends support to our asymptotic results. Asymptotic F and t Tests in an Efficient GMM Setting (with Yixiao Sun, Submitted) This paper considers two-step efficient GMM estimation and inference where the weighting matrix and asymptotic variance matrix are based on the series long run variance estimator. We propose a simple and easy-to-implement modification to the trinity of test statistics in the two-step efficient GMM setting and show that the modified test statistics are all asymptotically F distributed under the so-called fixed-smoothing asymptotics. The modification is multiplicative and involves the J statistic for testing over-identifying restrictions. This leads to convenient asymptotic F tests that use standard F critical values. Simulation shows that, in terms of both size and power, the asymptotic F tests perform as well as the nonstandard tests proposed recently by Sun (2014b) in finite samples. But the F tests are more appealing as the critical values are readily available from standard statistical tables. Compared to the conventional chi-square tests, the F tests are as powerful, but are much more accurate in size. Simple, Robust and More Accurate Approaches for Cointegration Regression (with Yixiao Sun, Submitted) This paper proposes new, simple, and more accurate statistical tests in a cointegrated system that allows for endogenous regressors and serially dependent errors. The approach involves first transforming the time series using a number of orthonormal basis functions in L²[0,1] that has energy concentrated at low frequencies and then running an augmented regression based on the transformed data. The tests are extremely simple to implement as they can be carried out in exactly the same way as if the transformed regression is a classical linear normal regression. In particular, critical values are from the standard F or t distribution. The proposed F and t tests are asymptotically valid regardless of whether the number of basis functions is held fixed or Oct. 14, 2015 allowed to grow with the sample size. The F and t tests have more accurate size in finite samples than existing tests such as the asymptotic chi-squared and normal tests based on the fully-modified OLS estimator of Phillips and Hansen (1990) and the trend IV estimator of Phillips (2014) and can be made as powerful as the latter tests. PUBLICATION: Extreme Risk Spillover in Financial Markets: Evidence from the Recent Financial Crisis Seoul Journal of Economics 28 (No. 2 2015): 171-198 (with Jae-Young Kim) CONFERENCES AND PRESENTATIONS: Aug 2015 11th World Congress of the Econometric Society, Montréal, Canada. Nov 2014, 2013 Econometrics Lunch Seminar, UCSD. Aug 2010 KEA International Conference, Seoul. HONORS, SCHOLARSHIPS, AND FELLOWSHIPS: Graduate Student Research Fellowship, UCSD, 2013-2015. Department Travel Grant, UCSD, 2015. CPhil Fellowship, UCSD, 2014-2015. Summer Graduate Student Research Fellowship, Department of Economics, UCSD, 2011-2012. Brain Korea 21 Research Scholarships, 2008- 2010. Scholarship for the Superior Scorer in Entrance Exam of Seoul National Univ. Graduate School, Fall 2008. Summa cum Laude, Seoul National University, 2008. Grand Prize, Annual Economics Paper Contest sponsored by Maeil Daily Business Newspaper, 2008. “Pricing Weather Derivatives in Korea using Monte Carlo Simulation” Third Prize, Bank of Korea’s National Monetary Policy Competition for College Students, 2005. Second Prize, Bank of Korea’s National Monetary Policy Competition for College Students in Seoul, 2005. Merit-based Scholarship, Seoul National University, 2003-2008. TEACHING EXPERIENCE: University of California, San Diego Teaching Assistant: Econometrics (graduate and undergraduate), Microeconomics (undergraduate), Macroeconomics (undergraduate) Seoul National University Teaching Assistant: Econometrics (graduate and undergraduate). LANGUAGES AND COMPUTER SKILLS: Languages: Korean (native), English (fluent) Computer Skills: Matlab, Stata, R MICHAEL LEVERE ECONOMICS DEPARTMENT UNIVERSITY OF CALIFORNIA, SAN DIEGO Placement Officer: Placement Assistant: Michelle White TBD (858) 534-2783 (858) 534-1867 CONTACT INFORMATION miwhite@ucsd.edu econphdadvising@ucsd.edu DEPARTMENT ADDRESS Department of Economics, 0508 University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0508 mlevere@ucsd.edu 3811 8th Ave. San Diego, CA 92103 (914) 522-8020 http://econweb.ucsd.edu/~mlevere/ Citizenship: U.S. GRADUATE EDUCATION University of California, San Diego PhD in Economics (Expected Completion June 2016) MA in Economics, 2013 THESIS TITLE: Essays on Early Childhood and Adolescence THESIS COMMITTEE AND REFERENCES: Prashant Bharadwaj (Chair) UCSD Economics 9500 Gilman Dr., #0508 La Jolla, CA 92093-0508 (858) 822-6760 prbharadwaj@ucsd.edu Julie Cullen UCSD Economics 9500 Gilman Dr., #0508 La Jolla, CA 92093-0508 (858) 822-2056 jbcullen@ucsd.edu Gordon Dahl UCSD Economics 9500 Gilman Dr., #0508 La Jolla, CA 92093-0508 (858) 822-0644 gdahl@ucsd.edu Kate Antonovics UCSD Economics 9500 Gilman Dr., #0519 La Jolla, CA 92093-0519 (858) 534-2973 kantonov@ucsd.edu UNDERGRADUATE EDUCATION Pomona College B.A. in Mathematical Economics, 2008 DESIRED RESEARCH AND TEACHING Primary Fields: Public Economics, Applied Microeconomics Secondary Fields: Development Economics, Labor Economics TEACHING EXPERIENCE Summer 2015: Instructor, Principles of Microeconomics 2011-Present: Undergraduate Teaching Assistant, Principles of Microeconomics (4x), Microeconomics A, Microeconomics B (2x), Macroeconomics A Winter 2013: Graduate Teaching Assistant, Macroeconomic Theory (PhD level) MICHAEL LEVERE UNIVERSITY OF CALIFORNIA, SAN DIEGO RELEVANT POSITIONS HELD 2014-2015: Gratuitous Service Agreement, Social Security Administration 2013-2015: Short Term Consultant, World Bank 2014: Group Facilitator, Berkeley-IDB Collaborative 2013-2014: Research Assistant, Gordon McCord 2009-2011: Research Assistant, Federal Reserve Board of Governors HONORS, SCHOLARSHIPS, AND FELLOWSHIPS 2015: Summer Graduate Teaching Scholar, UCSD 2014: Center for the Integration of Research, Teaching, and Learning (CIRTL) Associate 2014: CPhil Fellowship, UCSD 2013: Summer Graduate Research Fellowship, UCSD 2012: Summer Graduate Research Fellowship, UCSD 2008: Distinction for Senior Exercise in Economics, Pomona College JOB MARKET PAPER “The Labor Market Consequences of Receiving Disability Benefits During Childhood” Many studies show positive long-term effects of government benefit programs on children growing up in poverty, but there has been little study of similar efforts to target resources to children even further disadvantaged by having a disability. It is ambiguous if such efforts would improve labor market outcomes by helping individuals treat their disabilities in youth or harm labor market outcomes by designating children as disabled which may reduce investment in human capital. In this paper, I estimate the long-term effects on labor market earnings of gaining eligibility for Supplemental Security Income (SSI) disability benefits during childhood. In response to the Supreme Court decision Sullivan v. Zebley, the Social Security Administration instituted new, less stringent disability criteria that disproportionately affected child applicants with mental disorders relative to those with physical disorders. The policy change also occurred earlier in some people's lives than others. Using confidential administrative data from SSA, I show that for individuals with a mental disorder, each additional year of exposure to eased standards during childhood leads to 0.3 years longer SSI receipt. The additional benefit receipt leads to lower cumulative labor market earnings through age 30 that are more negative for cohorts with a longer duration of exposure. Taken at face value, my findings suggest that to the extent that the children's SSI program needs justification, it must be for a reason besides the hope that providing resources to children with special needs helps them achieve labor market success as adults. RESEARCH IN PROGRESS “The Role of Information and Cash Transfers on Early Childhood Development: Evidence from Nepal,” with Gayatri Acharya and Prashant Bharadwaj One of the major issues facing early childhood health is that of malnutrition and while substantial progress has been made in combating malnutrition at a global level, chronic maternal and child malnutrition remains a serious problem in parts of the developing world. In this paper, using a randomized control trial design in Nepal, we evaluate a program that provided information on best practices regarding child care and cash to families in extremely poor areas with pregnant mothers and/or children below the age of 2. We find significant and sizable impacts of the information plus cash MICHAEL LEVERE UNIVERSITY OF CALIFORNIA, SAN DIEGO intervention on maternal knowledge, behavior, child development, and nutrition. The size of these impacts along some measures of knowledge and development are significantly different from the information only intervention group suggesting a potential role for unconditional cash transfers along with information to tackle the problem of malnutrition. “Who Chooses to Apply for SSI Benefits?” One aspect of disability insurance programs that has been largely unstudied is the application process, such as who is likely to apply for benefits and the impacts of applying. Following the Zebley decision, issued in 1990, SSA was required to notify any individual who had been denied from childhood disability benefits for medical reasons since January 1, 1980 that his application had been considered under obsolete standards and that he could reapply. Using this date as an exogenous discontinuity, I show that those who received the letter were almost three times as likely to reapply for SSI benefits, though were not much more likely to be successful. I thus explore who is likely to reapply, based on observable characteristics of individuals and their geographic region. Counties with more children receiving SSI prior to 1990 experience higher rates of reapplication, consistent with SSI applications being stigmatized. Additionally, I estimate the causal impacts of applying for benefits, albeit with little precision. There is suggestive evidence that parents of individuals who received the mailing decrease their earnings, which would match the incentive to have low enough income to meet the means test associated with SSI benefits. OTHER WORK “The High Line Park and Timing of Capitalization of Public Goods” I estimate the impact of opening the High Line Park in New York City on house prices in the surrounding areas. The High Line is a park that opened in June 2009 on the west side of Manhattan near the Hudson River, and draws about 4 million visitors annually. I use proximity to the park to compare home values over time in areas immediately surrounding the park to areas slightly farther away. Home values within one-third of a mile of the park increased 10% immediately following its opening. This was not simply an overall increase in valuation of parks, or of real estate near the west side of Manhattan, but was directly due to the new public good, the park, itself. The increases in home valuations led to property taxes collected by the city in 2010 alone to nearly surpass the cost of constructing the park itself, suggesting that the benefits of the park far outweighed the costs. New businesses also opened in the surrounding areas in response to the opening of the park, implying that only measuring property values underestimates the broader effects on the economy. “Poker Player Behavior After Big Wins and Losses”, Management Science, 2009, with Gary Smith and Robert Kurtzman (Undergraduate Publication) We find that experienced poker players typically change their style of play after winning or losing a big pot – most notably, playing less cautiously after a big loss, evidently hoping for lucky cards that will erase their loss. This finding is consistent with Kahneman and Tversky's break-even hypothesis and suggests that when investors incur a large loss, it might be time to take a vacation or be monitored closely. INVITED PRESENTATIONS 2015: Williams College 2015: World Bank 2015: Southern Economics Association Conference (Graduate Student Award Session) Current as of October 15, 15 MICHAEL LEVERE UNIVERSITY OF CALIFORNIA, SAN DIEGO 2015: All California Labor Economics Conference (Poster) 2015: Social Security Administration Current as of October 15, 15 Robert C. MacKay Contact Information: Email: mackayr@gao.gov robertcmackay@gmail.com Phone: (801) 647-7755 Mail: U.S. Government Accountability Office Strategic Issues 441 G Street, NW Washington, D.C. 20548 Education: Ph.D. Economics Program, University of California, San Diego Expected Completion: 2016 Thesis Title: “Essays in Public Economics and Local Public Finance” Primary Fields: Public Economics, Finance Secondary Fields: Applied Econometrics, Labor Thesis Committee and References: Julie Cullen (Chair) Department of Economics 9500 Gilman Drive, #0508 La Jolla, CA 92093 (858) 822-2056 jbcullen@ucsd.edu Roger Gordon Department of Economics 9500 Gilman Drive, #0508 La Jolla, CA 92093 (858) 534-4828 rogordon@ucsd.edu Gordon Dahl Department of Economics 9500 Gilman Drive, #0508 La Jolla, CA 92093 (858) 822-0644 gdahl@ucsd.edu Master of Statistics, Econometrics, University of Utah, 2006 Bachelor of Arts, Economics, Brigham Young University, 2002 Relevant Experience: Strategic Issues, U.S. Government Accountability Office, 2012-present • Public Finance Economist • Analyze tax policy and tax administration issues for Congress and for the public • Interpret public finance literature and collaborate with multi-disciplinary teams • Develop researchable questions and methodologies to evaluate taxation initiatives Jon M. Huntsman School of Business, Utah State University, 2011-2012 • Visiting Professor – taught courses through the Economics and Finance Department • APEC/ECN 7310 Econometrics I – review of probability and statistics, Classical linear regression model, least squares and maximum likelihood estimation, finite and asymptotic sample properties, inference, prediction, and nonlinear optimization • APEC/ECN 7320 Econometrics II – nonspherical disturbances, panel data, simultaneous equations, time series and distributed lag models, and limited and qualitative dependent variable models Office of the Comptroller of the Currency, US Department of the Treasury, summer 2011 • Graduate Student Intern within the Credit Risk Analysis Division • Using credit bureau data, analyzed the effects of the Bankruptcy Abuse Prevention and Consumer Protection Act of 2005 (BAPCPA) on the post-bankruptcy experience, including credit options and the liquidation of assets after filing chapters 7 or 13 • Using the Mortgage Metrics database, analyzed the impact of mortgage modification on loan performance and mortgage modification as a principal-agent problem where lenders and mortgage servicers have misaligned incentives Department of Economics, University of California, San Diego, 2006-2011 • Teacher’s Assistant for econometrics, microeconomics, macroeconomics, corporate finance and accounting courses Charles River Associates (CRA), 2002-2006 • Research Analyst/Research Associate in Competition Practice • Industries researched include: healthcare, agriculture, software and networking • Analyzed data through model building, programming, and regression analysis • Estimated lost profits and damages in antitrust and intellectual property disputes Intermountain Healthcare, 2006 • Graduate Intern and Fellow of the Institute for Health Care Delivery Research • Modeled and analyzed patient care costs for new treatment program for depression Brigham Young University, 1999-2002 • Teacher’s Assistant for marketing and economics courses Publication: MacKay, Robert C., 2014. “Implicit Debt Capitalization in Local Housing Prices: An Example of Unfunded Pension Liabilities.” National Tax Journal 67(1), 77-112. GAO Acknowledgements: U.S. Government Accountability Office, 2015. Small Businesses: IRS Considers Compliance Burden in Tax Administration, but Needs a Plan to Evaluate Its Payment Card Information Pilot. GAO-15-754T. USGAO, Washington, DC. U.S. Government Accountability Office, 2015. Small Businesses: IRS Considers Taxpayer Burden in Tax Administration, but Needs a Plan to Evaluate the Use of Payment Card Information for Compliance Efforts. GAO-15-513. USGAO, Washington, DC. U.S. Government Accountability Office, 2014. Tax Policy: Economic Benefits of Income Exclusion for U.S. Citizens Working Abroad Are Uncertain. GAO-14-387. USGAO, Washington, DC. U.S. Government Accountability Office, 2013. Corporate Income Tax: Effective Tax Rates Can Differ Significantly from the Statutory Rate. GAO-13-520. USGAO, Washington, DC. U.S. Government Accountability Office, 2012. Tax Gap: IRS Could Significantly Increase Revenues by Better Targeting Enforcement Resources. GAO-13-151. USGAO, Washington, DC. Working Paper: “The Impact of Fiscal Stress on Local Government Structure” I analyze the effect of fiscal stress on local government structure. In 1994, sudden investment losses of nearly $1.7 billion led to Orange County’s default on debt obligations and bankruptcy. This event study provides a descriptive analysis of one of the most extreme fiscal crises in recent decades by comparing county financial values before and after the investment losses. I find the investment losses led to Orange County total revenue falling by 4 percent, total cash and securities by 28 percent, total debt by 11 percent, and total expenditure by 16 percent relative to other California counties. Work-in-Progress: “Identifying Determinants of Unfunded Pension Liabilities” I use municipal financial data combined with the demographic characteristics of municipalities to determine influential factors impacting the level of unfunded pension liabilities. I examine how political party affiliation and local government political activism affect a community’s willingness to borrow from the public employees’ retirement system while controlling for the municipality’s financial condition. Additional Interests and Skills: • Reviewer activity: National Tax Journal • Passed the CFA Level I Exam, December 2009 • Proficient in SAS, Stata, Matlab, and Microsoft Office • Rotarian Paul Harris Fellow • Member of Phi Kappa Phi • Fluent in Spanish • Master Scuba Diver • Eagle Scout Arman Rezaee UNIVERSITY OF CALIFORNIA, SAN DIEGO Placement Officer: Placement Assistant: Michelle White Jacqueline Tam (858) 534-2783 (858) 822-3502 miwhite@ucsd.edu jytam@ucsd.edu OFFICE ADDRESS AND TELEPHONE: Department of Economics, 0508 University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0508 arezaee@ucsd.edu DATE OF BIRTH: March 26, 1985 SEX: M CITIZENSHIP: USA UNDERGRADUATE STUDIES: Bachelor of Arts, University of California, Berkeley, with honors, 2007. Major: Rhetoric. Thesis: “The Language Surrounding Propositions 209 & 54 in California.” MASTERS STUDIES: Master in Public Policy, John F. Kennedy School of Government, Harvard University, 2009. Thesis: “Developing a New Merit-Based Scholarship Program: Understanding Student Incentives in Order to Target Post-Enrollment Outcomes for Community College Students.” GRADUATE STUDIES: PhD in economics, University of California, San Diego EXPECTED COMPLETION DATE: June 2016 THESIS TITLE: Improving governance in fragile states through transparency: evidence from field and natural experiments THESIS COMMITTEE AND REFERENCES: Eli Berman (chair) UCSD economics (858) 534-2858 elib@ucsd.edu Michael Callen Harvard Kennedy School (617) 495-9965 Michael_Callen@hks.harvard.edu Julie Cullen UCSD economics (858) 822-2056 jbcullen@ucsd.edu Clark Gibson UCSD political science (858) 822-5140 ccgibson@ucsd.edu Edward Miguel UC Berkeley economics (510) 642-4361 emiguel@berkeley.edu Karthik Muralidharan UCSD economics (858) 534-2425 kamurali@ucsd.edu DESIRED TEACHING AND RESEARCH: Primary Fields: Development economics, public economics Secondary Fields: Political economy, field experiments, comparative politics, quantitative methods TEACHING EXPERIENCE: 2010-2011: TA, Intermediate Microeconomics, the Economics of Immigration Arman Rezaee 2008-2009: TA, Economics Analysis of Public Policy, Markets and Market Failures advanced section (MPP courses at the John F. Kennedy School of Government) RELEVANT POSITIONS HELD: 2012-present: RA, Eli Berman 2011-2014: RA, Karthik Muralidharan 2013: Consultant, World Bank 2009-2010: RA, Edward Miguel 2009-2010: RA, Eric Schickler 2009: RA, Erzo Luttmer HONORS AND GRANTS: 2015: Exploratory grant from Private Enterprise Development for Low-Income Countries (PEDL) (Co-PI with Sarojini Hirshleifer and Benjamin Kachero) 2015: 2015-16 Herb York Global Security Fellowship, UC Institute on Global Conflict and Cooperation 2015: Clive Granger Research Fellowship, UCSD 2015: Research grant from the East Africa Social Science Translation (EASST) Secretariat acting on behalf of the Center for Effective Global Action (CEGA) (Co-PI with Sarojini Hirshleifer and Benjamin Kachero) 2015: Travel grant, J-PAL Governance Initiative 2014: Graduate Student Association travel grant, UCSD 2014: Exploratory grant from Private Enterprise Development for Low-Income Countries (PEDL) (Co-PI with Ali Hasanain) 2014: Adoption grant from Agricultural Technology and Adoption Initiative (ATAI) (With Eli Berman and Michael Callen; led the design, implementation, analysis, and reporting) 2013: Pilot grant from Agricultural Technology and Adoption Initiative (ATAI) (With Eli Berman and Michael Callen; led the design, implementation, analysis, and reporting) 2013: Department travel award, UCSD 2013: Visiting graduate researcher, Center for Effective Global Action (CEGA), UC Berkeley 2012: Summer Graduate Research Fellowship, UCSD 2011: Summer Graduate Research Fellowship, UCSD 2010: Tuition Scholarship, UCSD 2008: Calhoun Summer Fellowship, John F. Kennedy School of Government 2007-2009: Public Policy and International Affairs (PPIA) Fellowship, John F. Kennedy School of Government 2007: Phi Beta Kappa, UC Berkeley JOB MARKET PAPER: “Crowd-sourcing government accountability: Experimental evidence from Pakistan” (Joint with Ali Hasanain and Yasir Khan) Many government accountability failures such as corruption, leakage, and shirking are rooted in asymmetric information between citizen principals and government agents. Monitoring can relieve asymmetric information, but doing so is particularly costly in rural development settings. We developed and implemented a novel cellular-based information clearinghouse, like yelp.com, to overcome asymmetric information about government agent performance in rural Punjab, Pakistan. The clearinghouse measures, aggregates, and disseminates to farmers the success rate of government veterinarians in inseminating livestock, an objective measure of veterinarian effort. We evaluate this clearinghouse using a randomized control trial. We find that farmers treated with information on local government veterinarians’ AI success rates have a 27 percent higher AI success rate than controls when they subsequently return for government AI, which is entirely due to increased veterinarian effort for the treated. In addition, those treated with government veterinarian information are 33 percent more likely to return to a government veterinarian for Arman Rezaee AI rather than to seek a private provider. These results suggest large, positive social welfare impacts. Combined with the fact that our crowdsourcing technology is cost-effective, self-sustaining, and scalable, they hold out hope for improved government accountability as cellular technology improves and become cheaper. RESEARCH IN PROGRESS: “Choosing Ungoverned Space: Pakistan's Frontier Crimes Regulation” (Joint with Jacob Shapiro, Michael Callen, Saad Gulzar, and Yasir Khan) Why do substantial swathes of territory within the boundaries of administratively competent states remain ungoverned for long periods of time? We explore this question in the context of a unique set of legal institutions in Pakistan that clearly demarcate spaces that are to be left ungoverned. During colonial rule, the British divided Pakistan into two distinct regions. The first was the Raj, where the British built modern political and bureaucratic institutions. In the second region, the British put a small number of political agents in charge of tribal areas and codified pre-colonial institutions in the Frontier Crimes Regulation (FCR). Legal decisions were left to customary law carried out by local tribal councils, or Jirgas. Though the area under FCR has steadily decreased, FCR is still in place in the tribal areas of Pakistan today. Pakistan therefore offers a prime case in why governments leave certain territory ungoverned. Using primary legal documents we create a dataset of when and where FCR applied in Pakistan between 1901 and 2012 at the sub-district level. We then exploit the differential impact of the Green Revolution on potential land revenue at the sub-district level to empirically test a simple model in which states extend governance to areas where the economic benefits of developing full institutions through taxation and resource extraction outweigh the costs of doing so. We find that sub districts that would see a disproportionate increase in potential land revenue as a result of the Green Revolution were disproportionately more likely to have FCR removed following the advent of the Green Revolution. ---------"Increasing SME productivity in Uganda: Leveraging clusters to train and scale" (Joint with Sarojini Hirshleifer and Benjamin Kachero) Low productivity is a major constraint to growth in developing countries (in both agricultural and nonagricultural sectors). Furthermore, recent micro-level evidence finds that small business owners and farmers do not fully understand how to optimize their production processes suggesting that knowledge may be a barrier to productivity growth. Small firms may also face challenges in reaching the scale required to access markets. Thus, the Ugandan Investment Authority in collaboration with Makerere University has developed a cluster-level intervention to help SMEs grow. The intervention: (i) provides technical training that is designed to increase productivity (as well as business training) and (ii) leverages bringing firms together as a cluster to help them reach the economies of scale needed to ship products to markets and/or negotiate input prices. This study seeks to answer whether jointly providing technical knowledge and assistance in reaching economies of scale can cost-effectively increase productivity growth of small and medium enterprises. ---------“Crowd-sourced Air Pollution Monitoring in Pakistan” (Joint with Matthew Gibson) In Pakistan, as in much of the developing world, air pollution continues unchecked at a level that is privately optimal for firms. In many Pakistani cities annual average PM10 concentrations exceed 200 µg/m3, well above the EPA’s 24-hour standard of 150 µg/m3 (Colbeck et al. 2010). While environmental enforcement in Pakistan is currently poor, the state has capacity that could be tapped to improve environmental quality. Citizens could be empowered to pressure government and firms. However, anecdotal evidence suggests that two important roadblocks stand in their way—1) a lack of information, and 2) collective action problems. We propose to implement a cross-cutting, randomized controlled trial across 160 villages of Sheikhupera, Punjab, Pakistan, with two interventions. The first intervention will ease Arman Rezaee information constraints through a cell-phone-based black carbon (BC) analysis method developed by Nexleaf Analytics. Through this very cost-effective method, citizens with a cell phone in project villages will receive instant BC readings via SMS, three times per week, informing them about a pollutant known to harm health (Janssen et al. 2012). The second intervention will address collective action issues by building on a proven model of community engagement from a successful health program in Uganda (Björkman and Svensson 2009). ---------"Integrating Isolated Communities: How Does First-Time Mobile Phone Access Affect Remote Communities in the Philippines?" (Joint with Joshua Blumenstock, Niall Keleher, and Erin Troland) We have secured a unique opportunity to experimentally evaluate the impact of introducing greenfield cellular networks into several remote and hitherto-unconnected villages in the Philippines. Over the coming year, researchers at the University of Philippines, in collaboration with Endaga, a private technology company, will install 15 new cellular phone towers in remote barangays (villages) in the Philippines. These "community cellular networks" (CCN) are locally owned and operated networks that provide mobile phone connectivity to regions of the world that lack traditional mobile phone coverage. Since there are at least 30 candidate villages eligible to receive a CCN, random selection will ensure that there is a viable control group of barangays that never get a CCN (at least in the immediate future). We aim to answer three questions: 1) how does first-time access to mobile phone networks affect how people in remote communities communicate with, and form connections to, individuals outside of their home community?; 2) to what extent do these connections to the "outside world" provide community members with access to new information, new economic opportunities, and new modes of civic engagement?; and 3) what are the net social and economic impacts of providing first-time mobile phone network access to previously disconnected communities? ---------“Quality Testing to Address a Market for Lemons in Pakistan” (Joint with Ali Hasanain and Yasir Khan) Asymmetric information about quality should create a market for lemons (Akerlof 1970). We have completed a pilot study documenting that the there is a lemons market for untreated milk in Lahore, Pakistan, due to informal, self-employed milkmen having asymmetric information about their milk's quality. At the same time, we piloted two technologies that allow households to measure milk quality at low costs along two different dimensions (watering down of milk and the adding specific adulterants). We next plan to introduce these technologies as a large-scale cross-cutting RCT. We seek to understand how sellers and consumers react to information about seller quality in a setting where the literature suggests that the impact of these technologies can both be beneficial (Chatterji and Toffel, 2010) and/or perverse (Espeland and Sauder, 2007). We also seek to study specific heterogeneities in milkmen's response to relieveing asymmetric information. COMPLETED PAPERS: “Personalities and Public Sector Performance: Experimental Evidence from Pakistan” (Joint with Michael Callen, Saad Gulzar, Ali Hasanain, and Yasir Khan) This paper provides evidence that the personality traits of policy actors matter for policy outcomes in the context of two large-scale experiments in Punjab, Pakistan. Three results support the relevance of personalities for policy outcomes. First, doctors with higher Big Five and Perry Public Sector Motivation scores attend work more and falsify inspection reports less. Second, health inspectors who score higher on these personality measures exhibit a larger treatment response to increased monitoring. Last, senior health officials with higher Big Five scores are more likely to respond to a report of an underperforming facility by compelling better subsequent staff attendance. CONFERENCE PRESENTATIONS: Arman Rezaee 2015: Pacific Conference for Development Economics (PacDev), Empirical Studies of Conflict (ESOC) Annual Meeting, Summer School in Development Economics (SSDEV), Barcelona Graduate School of Economics (GSE) Summer Forum Political Institutions workshop, Berkeley Center for Economics and Politics (BCEP) 2015 Conference (poster), 2015 North-American Economic Science Association Conference (accepted), Northeast Universities Development Consortium Conference (NEUDC) (accepted, poster) 2014: Pacific Conference for Development Economics (PacDev), Empirical Studies of Conflict (ESOC) Annual Meeting, International Growth Center (IGC) Political Economy Meeting, Lahore Economic Development Research Seminars (LEDRS), The Conference on Digital Experimentation at MIT (CODE@MIT), Northeast Universities Development Consortium Conference (NEUDC), Symposium on Economic Experiments in Developing Countries (SEEDEC) 2013: Northeast Universities Development Consortium Conference (NEUDC) Revised October 13, 2015 Brigitte Roth Tran UNIVERSITY OF CALIFORNIA, SAN DIEGO Economics Department Placement Director: Placement Coordinator: Michelle White TBA (858)534-2783, miwhite@ucsd.edu (858)534-1867, econ-jobmarket@ucsd.edu PERSONAL CONTACT INFO DEPARTMENT ADDRESS 3697 Ruette De Ville San Diego, CA 92130 (323) 533-9155 brothtran@gmail.com Department of Economics, 0508 University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0508 GRADUATE STUDIES University of California, San Diego 2013 2010 Ph.D. Candidate, Economics (expected completion in June 2016) M.A., Economics Thesis Title: “Essays on Finance and the Environment” References: Richard T. Carson (Chair) UCSD Economics (858) 534-3383 rcarson@ucsd.edu Christopher Parsons UCSD Rady School of Management (858) 534-8782 caparsons@ucsd.edu Julie Cullen UCSD Economics (858) 822-2056 jbcullen@ucsd.edu Melissa Famulari UCSD Economics (858) 534-3878 mfamulari@ucsd.edu UNDERGRADUATE STUDIES California Institute of Technology 1999 B.S., Economics, cum laude DESIRED TEACHING AND RESEARCH FIELDS Primary: Secondary: Finance, Environmental Economics Applied Microeconomics, Industrial Organization HONORS, SCHOLARSHIPS, AND FELLOWSHIPS 2015 2010-2012 2008-2015 Teaching Assistant Excellence Award 2014-2015 (UCSD Economics Department) National Science Foundation Integrative Graduate Education and Research Training Fellowship on Global Change, Marine Ecosystems, and Society with Scripps Institution of Oceanography San Diego Fellowship, UC San Diego 1999-2000 1999 1999 Thomas J. Watson Fellowship – one-year independent travel grant for project on street performers in Europe and Australia Alan R. Sweezy Economics Prize, Caltech Frederic W. Hinrichs, Jr., Memorial Award, Caltech (for leadership) JOB MARKET PAPER Blame It on the Rain: Weather Shocks and Retail Sales Failure to properly attribute variation in retail sales to weather shocks can result in biased demand forecasts, undue volatility in commission-based pay, suboptimal inventory management, and misinterpretation of financial indicators. I use proprietary apparel and sporting goods sales data at the daily by-store level for a major national brand. I combine this with a new weather index method to estimate how retail sales respond to weather shocks. I find that the worst 5 percent of daily weather shocks decrease sales by an average 20 percent. These losses are permanent, with limited shifting of sales between indoor and outdoor malls and no substitution to e-commerce. Weather increases sales variability dramatically, with especially high effects in winter, the Northeast and Midwest regions, and outdoor malls. Shopping behavior adjusts to differential weather norms across regions, a finding with implications for adaptation to climate change. I measure sales responses in a flexible but interpretable manner, utilizing the lasso method to create an index of a comprehensive set of local weather variables. This index allows for nonlinear and heterogeneous responses to weather shocks and predicts how favorable current weather conditions are for shopping, net of seasonal, day of the week, holiday, brand, and store fixed effects. WORKING PAPER Divest, Disregard, or Double Down? (Submitted) How should a philanthropic endowment invest in a firm whose activities run counter to the charitable missions the endowment funds? Standard strategies involve disregarding the objectionable nature of or divesting from such firms. However, doubling down on the investment may be optimal if firm returns increase with activities the endowment combats. This paper presents a novel mission hedging strategy, which increases expected utility by making more funds available when they are needed most. This paper furthermore formalizes the endowment’s optimization problem, identifies investment trade-offs, explores optimality conditions of each strategy, and examines related evidence. Bad actors can provide good opportunities to hedge mission-specific risks. RESEARCH IN PROGRESS Hurricanes and Stock Prices Hurricanes resulting in major disaster declarations have become more common. In the example of Hurricane Sandy, firms headquartered in states most affected by the hurricane experienced persistent negative abnormal stock returns several days before the hurricane made landfall. This paper applies event study methodology to explore market anticipation of and reactions to hurricane events. It examines the effects of different types of climate change risk disclosures in Securities and Exchange Commission filings on stock price reactions to a major event associated with climate change. Does the Private Foundation Excise Tax on Investment Returns Work? Non-operating private foundations must pay a notched excise tax on investment returns. A foundation qualifies for a lower tax rate on investment income for a year if in that year its charitable spending as a fraction of average endowment value exceeds one percent of the same year’s investment income plus the average rate of the previous five years. Neither the amount of spending required to qualify for nor the value of this tax benefit are knowable with precision until the end of the year, at which point spending decisions have already been made. This papers shows that there is a significant but imprecise discontinuity of spending around the tax incentive. A theoretical model characterizes the foundation’s optimization problem. I use the S&P500 returns for the first 11 months of the year as an instrument for benefit of the lower tax rate to analyze whether foundations are influenced by the excise tax to increase spending in high return years. PUBLICATIONS Refereed Journal Article “Discounting Behavior and Environmental Decisions” (with Richard T. Carson), in Journal of Neuroscience, Psychology, and Economics, 2009, Vol. 2, No. 2, 112-130. Other Media “Why I won't let unvaccinated people around my kids”, on CNN.com, January 29, 2015, http://www.cnn.com/2015/01/29/opinion/tran-vaccination-kids/. TEACHING EXPERIENCE Instructor 2014 UCSD Economics Department, Financial Markets (upper division undergrad): Developed original course materials, including case studies and interactive lecture components; recommended by 100% of students taking the class Teaching Assistant 2013-2015 UCSD Economics Department Financial Markets, Economics of the Environment, Econometrics 2013-2014 UCSD Economics Department and Center for Marine Biodiversity and Conservation (CMBC) at Scripps Institution of Oceanography (SIO) Graduate course: Environmental Economics (accelerated section for Masters of Advanced Studies candidates in Marine Biodiversity and Conservation) 1998 Caltech Economics Department: Environmental Economics WORK EXPERIENCE 2009 2007-2008 Summer Graduate Student Research Grant, UC San Diego Economics Department with Mark Jacobsen David and Lucile Packard Foundation – Consultant (Los Altos, CA) 2005-2007 2004-2005 2001-2004 2000-2001 David and Lucile Packard Foundation – Legal and Investment Associate (Los Altos, CA) Analysis Group – Analyst (Menlo Park, CA) The Capital Group Companies – “The Associates Program” (TAP) Associate (rotational program management trainee) (Los Angeles, Brea, and San Francisco, CA). Program included coursework in accounting, corporate finance, and investments. Undergraduate Admissions, California Institute of Technology – Admissions Counselor (Pasadena, CA) PROFESSIONAL ACTIVITIES Professional Memberships American Economic Association American Finance Association Association of Environmental and Resource Economists Scripps Institution of Oceanography Center for Marine Biodiversity and Conservation Society for Financial Studies UCSD Center for Environmental Economics Conference participation Conference for Sustainability IGERTs 3 (C4SI3) at Portland State University in Portland, OR, September 26-29, 2013. California Workshop on Environmental and Resource Economics at UC Santa Barbara, September 13, 2013. Water Issues in Climate Change at University of California, San Diego, April 4, 2013. Summer School in Environmental and Energy Economics at UC Berkeley, August 15-19, 2011. SERVICE 2014-2015 2009-2010 2007-2008 2007 2006-2007 1997-1999 Women in Economics Small Group Leader UCSD Economics Department Graduate Student Association Representative Volunteer college admissions advisor at East Palo Alto High School College Summit volunteer (advised underserved Oakland high school students) David and Lucile Packard Foundation Program Operations Committee Member Caltech: Undergraduate Admissions Committee Representative, Board of Control (Secretary and Representative at Large, handled Honor Code violations) ALISON L. SANCHEZ UNIVERSITY OF CALIFORNIA, SAN DIEGO Placement Officer: Placement Assistant: Julie Cullen Brittany Bender & Suzi Harlow CONTACT INFORMATION Department of Economics, 0508 University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0508 (858) 822-2056 (858) 822-3502 jbcullen@ucsd.edu econphdadvising@ucsd.edu Email : alsanche@ucsd.edu Website: www.econweb.ucsd.edu/~alsanche CITIZENSHIP: USA GRADUATE STUDIES Ph.D., Economics, University of California, San Diego (Expected June 2015) THESIS COMMITTEE AND REFERENCES: James Andreoni Economics UCSD 9500 Gilman Drive La Jolla, CA 92093 Mailcode : 0508 (858) 534-3832 andreoni@ucsd.edu Vincent Crawford Economics & Rady School of Management Oxford University: All Souls College 9500 Gilman Drive La Jolla, CA 92093-0508 (858) 534-3452 v2crawford@ucsd.edu Todd Coleman Jacobs School of Engineering UCSD 9500 Gilman Drive La Jolla, CA 92093 Mailcode: 0412 (858) 534-8207 tpcoleman@ucsd.edu Richard Carson Economics UCSD 9500 Gilman Drive La Jolla, CA 92093 Mailcode: 0508 (858) 534-3383 rcarson@ucsd.edu UNDERGRADUATE STUDIES B.A., Mathematics and Economics (Joint Major), Cum Laude, 2008 GRANTS, HONORS, AND AWARDS 2013 UCSD Economics Travel Grant 2009- 2012 National Science Foundation Graduate Research Fellowship 2009-2011 UCSD Department of Economics Graduate Research Summer Scholarship 2008 Phi Beta Kappa JOB MARKET PAPER (submitted for publication) “Do Beliefs Justify Actions or Do Actions Justify Beliefs? An Experiment on Stated Beliefs, Revealed Beliefs, and Social Image Manipulation”, with James Andreoni NBER Working Paper 20649 In a simplified trust game, only if a sufficient number of one’s opponents are expected to be trustworthy is trusting them justified. We study whether actions are justified by beliefs, as is usually assumed, or whether instead beliefs are justified by actions. In our experiment, we elicit subjects’ “stated” beliefs, but we also we introduce a new method of exposing their “revealed” beliefs by offering to trade the outcome of the game for a pure gamble over the same possible outcomes. We find that subjects who show both strategic sophistication and make selfish choices also had the greatest difference between their stated and revealed beliefs. Their stated beliefs were both self-serving, in that they justified their selfishness, and also inaccurate. Their revealed beliefs, by contrast, were significantly more accurate and betrayed the subjects as knowing, at some level, that their selfishness was not justifiable by their opponent’s behavior. Key Topics: Deception, Social Image, Social Cognition, Modeling of Adversarial and Cooperative Agents ALISON L. SANCHEZ WORKING PAPERS “Modeling Decision Search Processes via Inverse Optimal Stochastic Planning” Joint work with Jacobs School of Engineering: Todd Coleman, Marcela Mendoza, Diego Mesa, and Justin Tantiongloc This paper applies economics and engineering techniques to model human decision making. We develop the theoretical framework for a new approach to an Optimal Stopping Problem to shed light on how individuals process information. Previous studies have adhered to the classic “forward” Dynamic Programming paradigm. The novelty of our paper is to solve the “Inverse” DP by observing human actions and inferring their objective function/reward function. Often, the reward function is a more succinct description/predictor of an individual’s preferences than is the policy function. In addition, we employ Bayesian methods to perform the inference on the objective function. This approach provides more information about individuals and their preferences than do standard methods of estimation. To be presented at the Neural Information Processing Systems Conference, Quebec City, Canada (December 2014) Key topics: Data Analytics, Optimal Planning, Modeling of Adversarial and Cooperative Agents, Reinforcement Learning, Expert Learning MOBILE APPLICATIONS PROMETHEUS: An app designed to study human decision making. This app is designed to be deployed on any mobile device as well as standard laptops. The real-time data Prometheus provides is intended to help researchers have a more in-depth understanding of the dynamics of human search behavior. Many large firms (e.g. Google, FaceBook, Amazon, Twitter, etc.) are analyzing data collected from online activities. However, what can this “big data” really tell us about how humans make decisions? This app is designed to explore the step-by-step process by which humans calculate their consumption decisions. For example, what type information do consumers look for when calculating decisions, how much information do consumers search for, and how much information is needed to overcome consumers’ current preferences? The app is fully flexible, can accommodate almost any design and can easily pair simultaneously with neuroimaging devices such as EEG, Wearable Sensors which monitor physiological parameters (heart rate, blood sugar, hydration levels, stress level indicators, etc.), tattoo electronics, etc. The app can be applied to fields such as consumer decisions, healthcare decisions, Big Data analysis, and multiple types of business analytics. WORK IN PROGRESS “Information Processing and Search Behavior” with Todd Coleman (Jacobs School of Engineering) This project utilizes the Prometheus app to connect consumer search behavior with the cognitive processes behind information acquisition, information processing and decision-making. The aim of this project is two-fold. First, we hope to empirically validate the Inverse Optimal Planning (IOP) framework. The second is to evaluate search patterns within a highly complex environment. We consider an environment with the following decision problem. Subjects choose between a set of “tasks” to complete for money. Agents can sequentially investigate tasks by searching for “clues” that reveal the nature of the task, but never exactly reveal the task itself. It is only when subjects choose to complete the task that the task is then revealed. The hope is that the IOP framework will allow us to identify subjects’ objective functions and thus provide a window into the cognitive processes they use when calculating decisions. We can also evaluate what types of information subjects search for and which types are influential in decision-making. Key Topics: Technological Influence on Decision Making, Information Processing, Social Influence, Business Analytics “Consumer Beliefs: How to Effectively Persuade Consumers” with Todd Coleman (Jacobs School of Engineering) This project is an extension of research performed using the Prometheus app and studies how individuals form informational biases and how these biases can be overcome. We consider an environment in which an individual has grown a preference for one particular choice out of a set of choices. We then provide the subject with information that the cost of this preferred option has increased. Subject data is monitored to see how subjects update their beliefs regarding the increased cost of their preferred option. We measure the amount and what type of information it takes for subjects to switch to another option. Key Topics: Informational Biases, Belief Formation, Business Analytics ALISON L. SANCHEZ DESIRED TEACHING AND RESEARCH Primary: Behavioral and Experimental Economics as applies to Decision Making, Marketing Secondary: Quantitative Methods/ Data Analysis/ Analytics, Technical Innovation, Policy Evaluation TEACHING EXPERIENCE 2012 - 2014 TA, Financial Accounting (UCSD Economics & Rady School of Management, Undergraduate) RELEVANT EXPERIENCE 2003 – 2013 Real Estate Apprentice – “Shadowed” a licensed Realtor in San Diego. Studied all aspects of running a Real Estate business : Sales strategy, marketing/advertising techniques, employee management, contract negotiation, sales forecasting, market trends, etc. PRESENTATIONS/ INVITED TALKS Jacobs School of Engineering, Bioengineering: Neural Interaction Lab (Invited Speaker), UCSD 2014 North American Economic Science Association Meeting (Presenter), Santa Cruz 2013 Microeconomics Lunch Seminar (Presenter), UCSD 2013 Microeconomics Lunch Seminar (Presenter), UCSD 2012 REFEREE SERVICE Journal of Public Economics, Journal of Economic Behavior and Organization Christopher Paul Steiner Home Address, Telephone, E-mail: 701 Burgundy Ln Bellefonte, PA 16823 +1 (618) 363-4082 chrispaulsteiner@outlook.com Office Address: 406 Kern Bldg University Park, PA 16802 Website: http://www.cpsteiner.com/ Education: Ph.D. Economics (2015), University of California, San Diego Thesis Title: Three Essays in Applied Microeconomics C.Phil. Economics (2013), University of California, San Diego M.A. Economics (2009), University of California, San Diego B.S.L.A.S. Mathematics and Economics (2008), cum laude and with High Distinction in Mathematics, University of Illinois at Urbana-Champaign Thesis Committee and References: Richard Carson, chair UC San Diego 9500 Gilman Dr, 0508 La Jolla, CA 92093 rcarson@ucsd.edu +1 (858) 534-3383 Mark Jacbosen UC San Diego 9500 Gilman Dr, 0508 La Jolla, CA 92093 m3jacobsen@ucsd.edu +1 (858) 822-7767 TEACHING REFERENCE: Julie Cullen UC San Diego 9500 Gilman Dr, 0508 La Jolla, CA 92093 jbcullen@ucsd.edu +1 (858) 822-2056 James Hilger National Oceanic and Atmospheric Admin. 8901 La Jolla Shores Dr La Jolla, CA 92037 james.hilger@noaa.gov +1 (858) 546-7140 Melissa Famulari UC San Diego 9500 Gilman Dr, 0508 La Jolla, CA 92093 mfamulari@ucsd.edu +1 (858) 534-3878 Desired Teaching and Research: Primary Field: Environmental Economics Secondary Field: Public Finance, Economics of Education Current Position: Visiting Assistant Professor, The Pennsylvania State University (Aug. 2015-May 2016) Teaching Experience: Fall 2015 (Penn State): Summer 2014 (UCSD): 2008-2015 (UCSD): Econ 443: Economics of Law and Regulation Econ 471: Growth and Development Instructor of Record, Economics 1, Principles of Microeconomics Summer Graduate Teaching Scholars Program, Including Participation in Instructional Course (Winter 2014) Teaching Assistant and/or Reader, Department of Economics or Teaching Assistant, Culture, Art, and Technology Writing Program (Different position at different times off and on.) Christopher Paul Steiner Previous Positions Held: 2011-2015: Intern or STEP Student (different position for different periods), National Oceanic and Atmospheric Administration (La Jolla, CA) Jan.-Feb. 2011: Contract Statistician, Surfrider Foundation Summer 2009: Summer Graduate Student Researcher for Julie Cullen Summer 2007: Research Experience for Undergraduates in Mathematics, Worcester Polytechnic Institute, Worcester, MA Jan.-Jul. 2006: Finance Co-op, Johnson & Johnson Vision Care, Inc., Jacksonville, FL Service: 2015-2016: Early 2011: Penn State LGBTQA Safe Zone Office Participant Representative for Economics Department, Graduate Student Association, UCSD Honors, Scholarships, and Fellowships: Summer Graduate Teaching Scholar, 2014 Summer GSR Funding, 2009 Research in Progress: Job Market Paper I “Hitting Capacity: Implications for Outdoor Recreation Valuation” (with James Hilger) Choices are often limited as the most popular alternatives reach capacity and sell out; thereafter, selection is over less preferred choices. In the context of nonmarket goods, willingness to pay (WTP) welfare measures provide an estimate of the value of characteristics – often calculated through the modeling of preferences using a random utility model (RUM) framework. RUM preference parameter estimation is based on the choice attributes and the observed choices consumers make from a set of options. Such models are estimated under the implicit assumption that all options are available to all consumers. If choices can “sell out,” the properly specified choice model would drop unavailable alternatives from the set of options; however, actual availability is almost never observed at the individual consumer level. Ignoring capacity constraints can result in biased parameter and WTP estimates. A solution to this problem that can be implemented using only aggregate level data is provided. We provide an empirical application of modeling vessel choice in the recreational overnight fishing trip market in San Diego – where particular boats are often sold out. We find the estimates for WTP for proportion of highly migratory species fish catch on these trips increase when we account for sellouts. Since RUM models are often used in fishery management decisions, not accounting for sellouts may lead to an undervaluation of important fishery resources. Job Market Paper II “Pollution Whack-a-Mole: Ambient Acetaldehyde and the Introduction of E-10 Gasoline in the Northeast” This paper uses a complicated set of phase-ins and phase-outs of oxygenated motor fuel in the Northeast to determine whether E-10 ethanol-enhanced fuel contributes to acetaldehyde air pollution over the pre-ethanol methyl tertiary-buthyl ether (MTBE) fuel. Oil companies phased out MTBE because of groundwater pollution concerns, and now E-10 is the standard fuel in EPA Christopher Paul Steiner reformulated gas areas. Using a difference-in-difference approach, I find a large percentage increase in acetaldehyde pollution is associated with the switch from MTBE to E-10. Using EPA carcinogenic estimation techniques, I find that the cost of this increase in acetaldehyde pollution is around $3 million annually for the New York City Metropolitan area. This smaller cost estimate comes from a pollution increase that – while large in percentage terms – is small in level terms. Education Paper “An Analysis of the Cost of an Undergraduate Degree and the Incentives of the State, the University, and the Student” (with Richard Carson and Melissa Famulari) To expand undergraduate enrollments or to make decisions regarding rule changes for degrees, administrators need information on how much expansions and contractions in each department cost. This paper presents several methods of accounting for per-credit hour cost across departments. Using internal data from UCSD, we find that most social sciences are relatively cheap and engineering is relatively expensive. This paper then simulates the university’s allocation of funding to undergraduate departments and the student response. We find that a university with static undergraduate fund-per-student preferences will allocate funds-per-student away from departments with large number of students to discourage them from majoring in those departments and instead majoring in a less-filled field. Using data from UCSD, we show that departments with large numbers of graduates are cheaper per degree, have higher modified student-to-faculty ratios, and graduate sooner than their colleagues in a different program at the university. Conference Presentations: “Pollution Whack-a-Mole: Ambient Acetaldehyde and the Introduction of E-10 Gasoline in the Northeast,” Agricultural and Applied Economics Association Annual Meeting, July 28, 2014; Minneapolis, MN “Hitting Capacity: Implications for Outdoor Recreation Valuation,” Association of Environmental and Resource Economists Meetings, June 3-5; San Diego, CA Professional Activities: Referee: Foundations and Trends in Microeconomics, Marine Resource Economics Member: American Economics Association; Agricultural and Applied Economics Association (including Land, Water, and Environmental Section); Center for the Integration of Research, Teaching, and Learning (CIRTL) Associat Computer Programming: MATLAB, R, Stata Christopher Paul Steiner Undergraduate Publication: with James A. Rogers, Jayson Wilbur, Susan Cole, Paul W. Bernhardt, Jaye Lynn Bupp, Morgan J. Lennon, and Nathan Langholz. (2011). Quantifying Uncertainty in Predictions of Hepatic Clearance. Statistics in Biopharmaceutical Research, 3(4), 515-25. Drug companies and others need formulas to scale up estimated drug-body (pharmacokinetic) parameters, from, for instance, a rat to a human. While these formulas are heavily discussed in the pharmacokinetic literature, few studies look to uncertainty in these estimations. This uncertainty may lead to poor dosage decisions when transitioning to in-human studies, possibly increasing side effects and/or eliminating drug efficacy. This study uses Bayesian statistics to build credible intervals for human clearance on twelve drugs, and these credible intervals demonstrate that measurement and scaling uncertainty can lead to approximate instead of actual dosing estimates.