National WellBeing Indices Professor Liam Delaney “Not fluffy” Overview Well-Being and Economics Concepts of Well-Being 20th Century Ireland National Well-Being Indices Considerations and Limitations 2 - Historical Background (1) Schumpeter (1953) traces utility theory from Aristotle through the medieval scholastics through to Smith, Bernoulli, Walras (rarete), Jennings and Lyod. Jevons: “Economics as a calculus of pleasure and pain”. Marshall: “Hedonics”. Generally assumed that utility was linear but this was not always the case and began to be relaxed. Very strong European interest at the turn of the 20th century in integrating newly emerging psychological theories in to economics particularly psychophysics (e.g. Fechner). Historical Background (2) Strong interest in issues such as the interpersonal comparison of utility particularly with regard to progressive taxation. However, became gradually apparent that what was taking place was a logic of utility rather than a psychology of utility. Friedman (1952) and other work e.g. Samuelson put a number of nails in the coffin of directly analysing utility. Many of the issues did survive as critiques of welfare economics. Ng (2003), Harsanyi (1997) Modern Hedonic Economics The quantitative analysis of measured hedonic experience has a long past. Has recently been “discovered” by economics. Strongly associated with the work of Kahneman, Frey, VanPraag, Clark, Blanchflower, Oswald and others. Review by Layard (2005). See Van-Praag and Ferrer-I-Carbonell (2004) for a more Euro-centric perspective. Strong links with Psychology and Neuroscience. (Glimshcer and Rustichini 2004). Well-being and Economics Historical concern with utility Modern debate Easterlin Paradox Well-Being functions Loss Aversion Benefits of GDP/GNP Comparable Linked to core economic parameters Okun's law Debt Dynamics Limitations of GDP/GNP Household Production Inequality Public Goods/Externalities Non-Market Goods Environmental sustainability Consumption and PPP Concepts of Well-being Consumption and Income Happiness Life Satisfaction Flow measures of Utility Functioning Eudemonia Capabilities Flow Measures of Well-Being Stress:-Public Transport V Driving http://www.stressmapping.com/ Red= driving Green= Public Transport Liam Delaney, Michael Daly, Gerard O Neill Fogel on Development of Societies Stage 1: Death is linked to an endemic shortage and uncertainty of food Stage 2: Prevention of death from infectious illness becomes key Stage 3: Increasing control over acute causes of death and increasing life expectancies and medical advancements Transitions between stages 20th-Century Ireland 5 major collapses Declines in infant mortality in 40s Increases in Life Expectancy High out-migration High variances in childhood conditions Current trough following boom Source O’Grada 2010 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 Irish Infant Mortality 90 80 70 60 50 40 Rate per 1000 30 20 10 0 Life Expectancy in Ireland Mean scores on psychological distress index (1994-2001) Suicide rates per 100,000 by gender Male suicide rates by age group Determinants of Well-being Unemployment Childhood mistreatment Social isolation Chronic Pain Relationship Fixed effects Income Income Huge historical debate Easterlin Paradox Wolfers and Stevenson Easterlin and Angelescu Diminishing Returns? Intertemporal Factors Intergenerational Welfare Childhood determinants of well-being Scarring effects Disruptive life events Chain effects Evaluable or Inherently Inevaluable Hsee (2008) One solution to Easterin Paradox Inherently Evaluable Goods relate to core well-being Consistent with increased happiness between rich and poor and why rich do not get happier over time Not just limited to poor countries Inherently Evaluable Goods “Inherently evaluable attributes are those for which we have an innate, typically visceral and biological scales to judge desirability. Examples include the amount of sleep, severity of pain or allergies, stress from work, ambient temperature, degree of social isolation (loneliness), etc., In contrast, inherently inevaluable attributes are those for which we do not have an innate evaluation scale to assess desirability – to evaluate these attributes, we must instead rely on external reference information or socially learned norms. Examples include the size of a diamond, the amount of income…” (Hsee et al 2008, p 228). Macro-Considerations Inflation less aversive than unemployment Inequality Financial Crises Less known about balance sheets Irish Literature Newman, Delaney, Nolan (2008): increases in financial satisfaction through Celtic Tiger Delaney et al (2008): determinants of WHO-5 ESRI - The Best of Times Delaney (2009): well-being through late 20th century Ireland Walsh (2012): well-being after the fall National Well-being indices GDP/GNP Stiglitz-Sen Commission Life Satisfaction Rankings Happiness Rankings OECD Better Life Human Development Index Gallup ONS Stiglitz-Sen Recommendations Income/Consumption rather than production Households Wealth and distribution Subjective dimensions Inequalities Surveys to assess linkages Role of statistical offices Ireland in Well-Being Indices Highly ranked on GDP/GNP Life expectancy convergence though with long lags Consistently among highest in wellbeing and life satisfaction 7th in Human Development Index Overall Mean Happiness for the Year 2002 - 2010 Iceland Denmark Finland Switzerland Norway Sweden Luxembourg Ireland Belgium Netherlands Cyprus Spain Austria United Kingdom Israel Slovenia Germany France Poland Croatia Czech Republic Estonia Portugal Greece Slovakia Italy Latvia Hungary Romania Russian Federation Turkey Ukraine Bulgaria 8.47 8.32 8.02 8.02 7.94 7.87 7.83 7.79 7.73 7.73 7.57 7.53 7.50 7.44 7.42 7.17 7.15 7.15 6.89 6.81 6.75 6.65 6.55 6.49 6.48 6.46 6.41 6.26 6.09 6.03 6.01 5.48 5.32 0 .5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 mean of happiness 6 6.5 7 7.5 8 8.5 9 Overall Mean Life Satisfaction for the Year 2002 - 2010 Iceland Denmark Switzerland Finland Sweden Luxembourg Norway Netherlands Austria Ireland Belgium Spain Cyprus Israel United Kingdom Slovenia Italy Germany Poland Croatia Czech Republic France Estonia Greece Romania Slovakia Turkey Latvia Portugal Hungary Russian Federation Bulgaria Ukraine 8.46 8.45 8.01 7.96 7.85 7.81 7.80 7.58 7.50 7.46 7.42 7.24 7.19 7.08 7.06 6.87 6.86 6.84 6.50 6.45 6.40 6.30 6.24 6.10 6.06 6.04 5.89 5.88 5.67 5.55 5.40 4.58 4.24 0 .5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 mean of lifesatisfaction 6.5 7 7.5 8 8.5 9 Mean-levels of well-being across countries Subjective Well-Being By Country DK IE CH NO LU IS SE BE ES NL FR AT DE PL FI SI CZ SK GR GB PT HU EE UA DK IE CH NO LU IS SE BE ES NL FR AT DE PL FI SI CZ SK GR GB PT HU EE UA 0 5 10 mean of who5 15 Source: Delaney et al 2009 20 Gallup Index When sorted according to the percentage of inhabitants who are 'thriving', Ireland comes 10th out of 40, Behind Denmark, Finland, Norway, Sweden, Netherlands, Switzerland, Austria, Belgium and the United Kingdom. In Ireland, 49% are thriving, 49% are struggling, 2% are suffering, and the score for daily experience is 7.5 UN Happiness Report Using the Gallup World Poll (Cantril ladder) Annual samples of 1,000 respondents in more than 150 countries. Respondents evaluate their quality life on an 11-point ladder scale (Cantril ladder). The report gathers the responses from Gallup World Polls, from 2005 to 2011, and weights them by each country’s population. Ireland comes 10th in the world based on this measure. Happy Index Country rankings based on the 4-point evaluative happiness answers in the combined World Values Survey/European Values Survey Ireland comes sixth on this combined measure. Average happiness yesterday Average Gallup World Poll answers to a question asking about the respondent’s happiness yesterday (using a yes/no 2-point response scale). Ireland comes first on this measure. Positive affect Gallup World Poll country rankings for positive affect (the average of yes/no answers on the frequency yesterday of enjoyment, happiness and laughter). Ireland comes second on this measure. Negative affect Gallup World Poll country rankings for negative affect (the average of yes/no answers on the frequency of worry, sadness, anger and depression). Ireland is ranked number 27 on this. Average net affect positive affect minus negative affect Ireland is ranked 3rd on this. OECD Better Life Index: Ireland (indicators) Housing expenditure: 4/36 Dwelling with basic facilities: 99.80% = 10/36 Rooms per person: 2.1 = 5/36 Household financial wealth: 21485 USD = 22/36 Household net adjusted disposable income: 24156 USD = 16/36 Job security: 10/36 Long-term unemployment rate: 6.69% = 33/36 Employment rate: 60% = 26/36 Quality of support network: 98% = 2/36 Years in education: 17.6 = 17/36 OECD Better Life Index: Ireland (indicators) Student skills: 18/36 Educational attainment (% aged 25 to 64 having completed secondary school): 72% = 24/36 Water quality: 89% satisfied = 14/36 Air pollution: 13 micrograms = 3/36 Consultation on rule-making: 9/36 Voter turnout: 67% = 22/36 Self-reported health: 83% good or v.good = 6/36 Life expectancy: 81 years = 11/36 Life satisfaction: 17/36 OECD Better Life Index: Ireland (indicators) Homicide rate: 1.2 homicides per 100,000 people = 15/36 Assault rate: 2.63% = 10/36 Time devoted to leisure and personal care: 14.56 hours = 24/36 Employees working very long hours: 3.72% = 10/36 After the Fall Set of papers by Brendan Walsh Evidence for increase in suicide rates Small change in life satisfaction Increase in births Decrease in mortality Increase in migration Source Walsh 2011 Source Walsh 2011 Considerations 1 Multi-dimensionality Differential item functioning Migration and Well-Being Means and Variances Rawlsian Well-Being functions Quantile Regressions Migration Source: Delaney et al 2013 in press Heterogeneous reporting Analyses of socioeconomic inequities in adult health often rely on self-reported indicators, usually some variant of: In general, would you say that your health is: Very good, Good, Fair, Poor, Very poor Subjective scales involve evaluation of your own true health compared with your own subjective view of what it means to be above or below a given threshold (such as very good and good) Response categories may be interpreted in systematically different ways If there are systematic differences in how different groups of people interpret responses categories then results using these responses may be biased 58 Response Category Cut-point Shift Very good Good Moderate Bad Very bad True Health Response Scale A B C 59 Heterogeneous health reporting 5-category SAH instrument “True” health status for each individual, which is unobserved, represented on a vertical axis with higher points, represented by the red lines, indicating better health The ranges of true health within which different responses are given to the SAH question vary across individuals (A, B & C) Relative to A, B is more positive and C more negative regarding their health At the top level of “true” health (top red line) A reports good health, B very good and C moderate At the middle level of true health, A reports moderate health, B good and C bad At the lowest level of true health, A reports bad health, B moderate and C very bad B is much more optimistic than A or C 60 Incomparable Responses Problem Individuals may report health differently depending their upon Different understandings or conceptions of health Expectations for own health Their health relative to their peers Different norms or standards as to what the responses categories mean Financial incentives to report ill health This is referred to as differential item functioning or DIF 61 Consequences of DIF for equity analyses and indices If the variation is random, it will not bias the measurement of socioeconomic-related health inequality Differential reporting of health by socioeconomic status (SES) would bias estimation of the gradient E.g. if the poor systematically understate their true health status, then self-reported measures of health will not reflect the full extent of health inequalities For the same ‘true’ (but unobserved) health status, poor may report better health Differences in health disparities from self-reported and objective health measures suggest systematic variation in reporting 62 Evidence of heterogeneous reporting Income-related inequalities in objective health indicators (malnutrition, mortality), tend to be higher than those in subjective health Discrepancy in health gradients measured by objective and subjective indicators is even more common in developing world For example, in developing countries, gradient in reported health often much smaller than gradient in mortality/anthropometrics Aboriginals self-report better health despite being seriously disadvantaged on objective measures such as mortality 63 Examples India: Amartya Sen (2002): “the state of Kerala has the highest levels of literacy... and longevity... in India. But it also has, by a very wide margin, the highest rate of reported morbidity among all Indian states... At the other extreme, states with low longevity, with woeful medical and educational facilities, such as Bihar, have the lowest rates of reported morbidity in India.” 64 Methodology: Anchoring Vignettes King et al. (2004) proposed anchoring vignettes as a method overcoming the problem of incomparable responses How - uses respondent’s evaluations of the health states of hypothetical people described in a short vignettes as an anchor for their self-assessed responses (King et al. 2006, Kapteyn et al 2007, van Soest 2007) Purges these reporting differences from individuals’ evaluations of their own health 65 Methodology: Anchoring Vignettes 1. Respondents are first asked to evaluate their health in a given domain on a subjective scale. For example: In the last 30 days, how much of a problem did you have because of shortness of breath? None, Mild, Moderate, Severe, Extreme 2. Respondents are then asked to rate the health of one or more hypothetical person described in the vignette on the same scale that they used to rate their own position. For example: Vignette A: Marie has no problems with walking slowly. She gets out of breath easily when climbing uphill for 20 meters or a flight of stairs. In the last 30 days, how much of a problem did Marie have because of shortness of breath? Vignette B: Sean has asthma. He enjoys playing football twice or three times per week. He has attacks of wheezing once a month that go away half an hour after taking his medication. In the last 30 days, how much of a problem does Sean have breathing? None, Mild, Moderate, Severe, Extreme 66 Vignette Assumptions As the objective health situation of the person described in the vignette(s) is the same for all respondents, anchoring vignettes can identify individual variation in subjective thresholds Vignette equivalence: Assume all respondents recognise the vignette as representing the same dimension of health, thus variation in its evaluation derives only from reporting differences Response consistency: Assume respondents rate their own health in the same way as the vignette, the common cut-points estimated from the vignette responses can be imposed on the evaluation of own health 67 Anchoring Vignettes (King et al. 2004) 68 Anchoring Vignettes (King et al. 2004) 69 Anchoring Vignettes (King et al. 2004) 70 Vignettes and Life Satisfaction Source Kapteyn et al 2011 Considerations II Frequency of Collection MOT versus Speedometer Language for use in policy Well-Being and Mental Health Well-Being and Behaviour Paternalism and neo-paternalism Considerations III Ethical basis of consumption Political economy of measurement Is well-being a distraction? Well-Being and productivity Bank bailouts Options for Ireland Index constructed from ESS Aging studies - TILDA/SHARE Regular tracking from CSO through QNHS Welfare of targeted groups Migrants into Ireland Irish abroad NI Measures Extra Slides on Influence on Measures US National Well-Being Index The Gallup-Healthways Well-Being Index Daily measure of health and well-being in the U.S. Over 500 adults interviewed every day Total nterviews: 2012 n = 353,564 and 2011 n = 353,492 Real-time measurement of life-evaluation, emotional health, physical health and health behaviours, work environment Daily data Source: http://www.well-beingindex.com/ Well being questions: Emotional health Now, please think about yesterday, from the morning until the end of the day. Think about where you were, what you were doing, who you were with and how you felt. Were you treated with respect all day yesterday? Did you smile or laugh a lot yesterday? Did you learn or do something interesting yesterday? Did you have enough energy to get things done yesterday? Did you experience the following feelings during A LOT OF THE DAY yesterday? How about enjoyment, physical pain, worry, sadness, stress, anger, happiness? (asked individually) Emotional health: 1% drop in recession Source: http://www.well-beingindex.com/ Well being questions: Evaluation Index Please imagine a ladder with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time? Life-evaluation: Substantial drop (approx. 10%) Source: http://www.well-beingindex.com/