ETF3200 Applied econometrics Unit Guide Semester 1, 2015 Copyright © Monash University 2014. All rights reserved. Except as provided in the Copyright Act 1968, this work may not be reproduced in any form without the written permission of the host Faculty and School/Department. The information contained in this unit guide is correct at time of publication. The University has the right to change any of the elements contained in this document at any time. Last updated: 23 Feb 2015 Table of Contents ETF3200 Applied econometrics - Semester 1, 2015...............................................................................1 Mode of Delivery..............................................................................................................................1 Workload requirements....................................................................................................................1 Additional workload requirements........................................................................................1 Unit Relationships........................................................................................................................................1 Prerequisites....................................................................................................................................1 Prohibitions......................................................................................................................................1 Chief Examiner(s)........................................................................................................................................1 Campus Lecturer(s).....................................................................................................................................2 Caulfield...........................................................................................................................................2 Tutor(s)........................................................................................................................................................2 Caulfield...........................................................................................................................................2 Your feedback to Us....................................................................................................................................2 Previous Student Evaluations of this Unit....................................................................................................2 Academic Overview...................................................................................................................................3 Learning Outcomes.........................................................................................................................3 Unit Schedule.............................................................................................................................................4 Teaching Approach..........................................................................................................................4 Assessment Summary.....................................................................................................................4 Hurdle Requirements...........................................................................................................5 Second marking...................................................................................................................5 Return of final marks............................................................................................................5 Assessment criteria..............................................................................................................5 Assessment Requirements......................................................................................................................6 Assessment Tasks...........................................................................................................................6 Assessment task 1...............................................................................................................6 Assessment task 2...............................................................................................................6 Assessment task 3...............................................................................................................7 Examination(s).............................................................................................................................................7 Examination 1..................................................................................................................................7 Learning resources......................................................................................................................................7 Feedback to you..........................................................................................................................................8 Assignment submission...............................................................................................................................8 Online submission...........................................................................................................................8 Prescribed text(s) and readings.......................................................................................................8 Recommended Resources..........................................................................................................................8 Recommended text(s) and readings................................................................................................8 Other Information....................................................................................................................................10 Policies..........................................................................................................................................10 Graduate Attributes Policy.................................................................................................10 Student Charter.........................................................................................................................................10 Student services........................................................................................................................................10 Monash University Library.........................................................................................................................10 Moodle 2....................................................................................................................................................10 Disability Liaison Unit................................................................................................................................11 ETF3200 Applied econometrics - Semester 1, 2015 This unit presents econometric models and techniques that are widely used in applied econometrics. The topics covered are linear regression models with random regressors, method of moments and instrumental variables estimation; simultaneous equations models; models for time-series data; introduction to maximum likelihood estimation; models for discrete dependent variables and models for panel data. EViews computer software is used to carry out data analysis and estimation. Mode of Delivery Caulfield (Day) Workload requirements Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement. See also Unit timetable information Additional workload requirements This is a six credit point unit with three hours class contact per week over 12 teaching weeks. In order to meet the faculty’s expectation, students should plan to spend on average eight hours in self-directed study, in addition to the three hours of class contact, each week. Unit Relationships Prerequisites Students must have passed ETF2100 or ETC2410 or ETC3440 or equivalent or must be enrolled in Course Code 3822 or 4412. Prohibitions ETC3410 Chief Examiner(s) Dr Vasilis Sarafidis 1 ETF3200 Applied econometrics - Semester 1, 2015 Campus Lecturer(s) Caulfield Dr Vasilis Sarafidis Campus: Caulfield Phone: +61 3 990 32179 Email: Vasilis.Sarafidis@monash.edu Contact hours: Monday 3-5 pm, H5.68 Tutor(s) Caulfield Dr Ari Handayani Campus: Caulfield Phone: +61 3 990 34349 Email: Ari.Handayani@monash.edu Contact hours: 2:30-3:30 pm; H4.76 Your feedback to Us Monash is committed to excellence in education and regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through the Student Evaluation of Teaching and Units (SETU) survey. The University’s student evaluation policy requires that every unit is evaluated each year. Students are strongly encouraged to complete the surveys. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement. For more information on Monash’s educational strategy, see: www.monash.edu.au/about/monash-directions/ and on student evaluations, see: www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html Previous Student Evaluations of this Unit Some material has been removed to place emphasis on most important stuff. Previous student feedback has highlighted that the course content is presented well and the teaching style is engaging. If you wish to view how previous students rated this unit, please go to https://emuapps.monash.edu.au/unitevaluations/index.jsp 2 Academic Overview Learning Outcomes The learning goals associated with this unit are to: 1. conduct statistical inference in linear regression models with random regressors using the method of moments and the instrumental variables estimators 2. conduct statistical inference for simultaneous equations models 3. understand the statistical properties of nonstationary macroeconomic time series data and how to model the long-run relationships among co-integrated time series 4. conduct statistical inference in models with discrete dependent variables 5. conduct statistical inference in panel data models. 3 Unit Schedule Week Activities Assessment 0 No formal assessment or activities are undertaken in week 0 1 Review of Regression and Regression in Matrix Notation 2 Random Regressors/Moment-Based Estimation 3 Random Regressors/Simultaneous Equations Models 4 Simultaneous Equations Models 5 The Concept of Non-Stationarity - Testing for Unit Roots 6 Error Correction Models 7 Cointegration 8 VEC and VAR Models 9 Panel Data Analysis 10 Panel Data Analysis 11 Dynamic Panel Data Models 12 Revision Assignment 3 due Friday (17:00 in Vasilis' mailbox) SWOT VAC No formal assessment is undertaken SWOT VAC Examination period LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/ academic/education/assessment/ assessment-in-coursework-policy.html Assignment 1 due Monday (12:00 in lecture) Assignment 2 due Monday (12:00 in lecture) Teaching Approach Lecture and tutorials or problem classes "This teaching and learning approach provides facilitated learning, practical exploration and peer learning." Assessment Summary Within semester assessment: 40% Examination: 60% Assessment Task Value Due Date Assignment 1 10% Week 5 Monday by 12:00 at the beginning of the lecture Assignment 2 15% Week 10 Monday by 12:00 at the beginning of the lecture Assignment 3 15% Week 12 Friday by 5pm Examination 1 60% To be advised 4 Unit Schedule Hurdle Requirements Your final mark will be the sum of the marks gained in all pieces of assessment, except that to pass this unit you must achieve at least 45% in the final examination. If you fail to satisfy the hurdle regarding the final examination mark then the maximum mark that can be returned for the unit is 48. Second marking Where an assessment task is given a fail grade by an examiner, that piece of work will be marked again by a second examiner who will independently evaluate the work, and consult with the first marker. No student will be awarded a fail grade for an assessment task or unit without a second examiner confirming the result. Note: Exceptions to this are individual pieces of assessment contributing 10% or less of the final mark, unless the total of such pieces exceeds 30% of the final mark. Return of final marks Faculty policy states that 'the final mark that a student receives for a unit will be determined by the Board of Examiners on the recommendation of the Chief Examiner taking into account all aspects of assessment'. The final mark for this unit will be released by the Board of Examiners on the date nominated in the Faculty Calendar. Student results will be accessible through the my.monash portal. Assessment criteria Assessment Criteria Grading Descriptors available at: http://www.buseco.monash.edu.au/esg/agu/policies/assessment.html. 5 Assessment Requirements Assessment Tasks • Assessment task 1 Title: • Assignment 1 Due date: Week 5 Monday by 12:00 at the beginning of the lecture Details of task: All assignments will be posted on the blackboard unit website. Weighting/Value: 10% Estimated return date: Marked assignments will be returned to students during tutorials or during your tutor's consultation times. Submission details: Assignments should be submitted to your tutor's mailbox at Level 5, Building H, Caulfield Campus. Penalties for late lodgement: A penalty of 10% of the total mark allocated to each assessment will be deducted for each day that it is late. Assessment coversheet: Work submitted for assessment MUST be accompanied by a completed and signed assignment coversheet, available at URL: http://www.buseco.monash.edu.au/student/forms/assessment-coversheet.doc. In the case of group assessment, each member of the group must complete and sign a separate assignment coversheet. Assessment task 2 Title: Assignment 2 Due date: Week 10 Monday by 12:00 at the beginning of the lecture Details of task: All assignments will be posted on the blackboard unit website. Weighting/Value: 15% Estimated return date: Marked assignments will be returned to students during tutorials or during your tutor's consultation times. Learning objectives assessed: Learning outcome 1 Submission details: Assignments should be submitted to your tutor's mailbox at Level 5, Building H, Caulfield Campus. Penalties for late lodgement: A penalty of 10% of the total mark allocated to each assessment will be deducted for each day that it is late. Assessment coversheet: 6 Assessment Requirements Work submitted for assessment MUST be accompanied by a completed and signed assignment coversheet, available at URL: http://www.buseco.monash.edu.au/student/forms/assessment-coversheet.doc. In the case of group assessment, each member of the group must complete and sign a separate assignment coversheet. • Assessment task 3 Title: Assignment 3 Due date: Week 12 Friday by 5pm Details of task: All assignments will be posted on the blackboard unit website. Weighting/Value: 15% Estimated return date: Marked assignments will be returned to students during tutorials or during your tutor's consultation times. Learning objectives assessed: Learning outcome 2. Submission details: Assignments should be submitted to your tutor's mailbox at Level 5, Building H, Caulfield Campus. Penalties for late lodgement: A penalty of 10% of the total mark allocated to each assessment will be deducted for each day that it is late. Assessment coversheet: Work submitted for assessment MUST be accompanied by a completed and signed assignment coversheet, available at URL: http://www.buseco.monash.edu.au/student/forms/assessment-coversheet.doc. In the case of group assessment, each member of the group must complete and sign a separate assignment coversheet. Examination(s) • Examination 1 Weighting: 60% Length: 2 hours Type (open/closed book): Closed book Electronic devices allowed in the exam: None Learning resources Monash Library Unit Reading List (if applicable to the unit) http://readinglists.lib.monash.edu/index.html 7 Assessment Requirements Feedback to you Types of feedback you can expect to receive in this unit are: • Graded assignments with comments • Other: Solutions to tutes Assignment submission Online submission If Electronic Submission has been approved for your unit, please submit your work via the VLE site for this unit, which you can access via links in the my.monash portal. Prescribed text(s) and readings Hill, Griffiths and Lim (2011): Principles of Econometric, 4th edition, John Wiley & Sons. We will be using this text which includes a student licence of Eviews throughout the subject. This text is available for purchase at the Bookstore (Level 2, Building K, Caulfield Campus). An Eviews workbook can be purchased with the book. Copies of the text are available ON RESERVE at the Caulfield Library. Recommended Resources Prescribed text: Hill, Griffiths and Lim (2011): Principles of Econometric, 4th edition, John Wiley & Sons. We will be using this text which includes a student licence of Eviews throughout the subject. This text is available for purchase at the Bookstore (Level 2, Building K, Caulfield Campus). An Eviews workbook can be purchased with the book. Copies of the text are available ON RESERVE at the Caulfield Library. Recommended texts and readings: Wooldridge, J. M. (2009), Introductory Econometrics, 4th ed, South-Western Cengage Learning. Maddala, G. S. and Lahiri, K. (2009), Introduction to Econometrics, Wiley. Gujarati, D. N. (2003), Basic Econometrics, 4th edition, McGraw-Hill. Vogelvang, B. (2005), Econometrics: theory and applications with Eviews. Prentice-Hall. Recommended text(s) and readings Wooldridge, J. M. (2009), Introductory Econometrics, 4th ed, South-Western Cengage Learning. Maddala, G. S. and Lahiri, K. (2009), Introduction to Econometrics, Wiley. 8 Assessment Requirements Gujarati, D. N. (2003), Basic Econometrics, 4th edition, McGraw-Hill. Vogelvang, B. (2005), Econometrics: theory and applications with Eviews. Prentice-Hall. Copies of these books are available from the library. 9 Other Information Policies Monash has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and to provide advice on how they might uphold them. You can find Monash’s Education Policies at: www.policy.monash.edu.au/policy-bank/academic/education/index.html Key educational policies include: • Student Academic Integrity Policy and Student Academic Integrity: Managing Plagiarism and Collusion Procedures ; • Assessment in Coursework Programs; • Special Consideration; • Grading Scale; • Discipline: Student Policy; • Academic Calendar and Semesters; • Orientation and Transition; and • Academic and Administrative Complaints and Grievances Policy. Graduate Attributes Policy http://www.policy.monash.edu/policy-bank/academic/ education/management/monash-graduate-attributes-policy.html Student Charter www.opq.monash.edu.au/ep/student-charter/monash-university-student-charter.html Student services The University provides many different kinds of support services for you. Contact your tutor if you need advice and see the range of services available at http://www.monash.edu.au/students Monash University Library The Monash University Library provides a range of services, resources and programs that enable you to save time and be more effective in your learning and research. Go to www.lib.monash.edu.au or the library tab in my.monash portal for more information. Moodle 2 All unit and lecture materials, plus other information of importance to students, are available through the virtual learning environment Moodle site. You can access Moodle via the my.monash portal. Where to go for help If you're stuck, confused or simply not sure how to approach Moodle, there are a number of Moodle resources that you can tap into. 10 Other Information Disability Liaison Unit Students who have a disability or medical condition are welcome to contact the Disability Liaison Unit to discuss academic support services. Disability Liaison Officers (DLOs) visit all Victorian campuses on a regular basis. • Website: http://www.monash.edu/equity-diversity/disability/index.html • Telephone: 03 9905 5704 to book an appointment with a DLO; • Email: dlu@monash.edu • Drop In: Equity and Diversity Centre, Level 1, Building 55, Clayton Campus. 11