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Donald Lien September 12, 2013.  What is this?  Where does it come from?  Why do we care?  Is it here to stay?

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Presentation on theme: "Donald Lien September 12, 2013.  What is this?  Where does it come from?  Why do we care?  Is it here to stay?"— Presentation transcript:

1 Donald Lien September 12, 2013

2  What is this?  Where does it come from?  Why do we care?  Is it here to stay?

3  Happiness Measurement  Determinants of Happiness  Policy Implications  Related Work

4  Momentary feelings of joy and pleasure, referred to in psychology as positive and negative affect (Happiness)  Overall contentment with life (Life Satisfaction)  Quality of life achieved by developing and fulfilling one’s potential (Eudaimonia or the good life)

5  Please imagine a ladder with steps numbered from zero at the bottom to ten at the top. Suppose we say that the top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible. If the top is 10 and the bottom step is 0, on which step of the ladder do you feel you personally stand at the present time?

6  All things considered, how satisfied are you with your life as a whole these days? Use 0 to 10, where 0 is dissatisfied and 10 is satisfied

7  Taken all together, how would you say things are these days – would you say that you are very happy, pretty happy, or not too happy?

8  All things considered, how satisfied are you with your life as a whole these days? Please use this card to help with your answer. Dissatisfied (1) 2 3 4 …Satisfied (10)

9  On the whole, are you very satisfied, fairly satisfied, not very satisfied, or not at all satisfied with the life you lead?

10  Overall, How happy are you?  0 indicates very unhappy  100 indicates very happy

11  Experience Sampling Method  Day Reconstruction Method  U-Index  Brain Imaging

12  The extent the same questions yield identical answers when administered in the same conditions

13  The extent the measure can be explained in terms of life circumstances and other candidate variables  The extent it is correlated with other subjective and objective measures of well- being  How and whether it predicts subsequent outcomes and behavior

14  Genes and environment (Level 1)  External features (Level 2)  Personal features (Level 2)  Happiness (Level 3)

15  Income  Work  Community and governance  Values and religion

16  Mental health  Physical health  Family experience  Education  Gender  Age

17  Easterlin Paradox (1974)  At a point in time within any society, richer people are on average happier than poorer people (cross-sectional fact)  Over time within many societies, the population does not on average become happier when the country’s income rises (time series fact)

18  US: 1950-1970, 1963-1976, 1972-2006  West Germany: 1973-2007, 1985-2006  Recent debate

19  Relative income  Adaptation







26  When people become unemployed they experience sharp falls in well-being and their well-being remains at the lower level until they are re-employed  The main impact of unemployment on well- being is not through the loss of income, but rather through loss of social status, self- esteem, workplace social life, and other factors

27  Others’ unemployment (at the regional, household, and couple level) generally has a positive effect on the well-being of the unemployed (at least for men)  Even low quality jobs are associate with higher life satisfaction  It is better to get people bad jobs than no jobs at all

28  Overall self-employment has no effect on life satisfaction  A positive correlation is found in American data and European data  For the non-OECD data and Latin American countries, self-employment is associated with lower satisfaction  Free to choose vs. insufficient employment opportunities in the formal sector

29  Women report higher satisfaction and happiness than men  But this finding is dominated by advanced countries  Outside the industrial countries the happiness gap is smaller or even reversed  Overtime, women become less happy relative to men in the US and Europe

30  US women have lower U-index scores than men, and thus less misery  Women are relatively happier in countries where gender rights are more equal  Though women report higher life satisfaction than men, their rates of mental illness are also higher

31  It is U-shaped through life  Satisfaction declines, reaches a minimum in middle-age (between 40 and 50), and then rises again  Explanations could include the wisdom of maturity, or the beneficial effect of reduced (or more realistic) aspiration  Between 70 and 80, worsening health begins to take its effect and average happiness begins to decline once more

32  Level of education has no clear direct impact on happiness  Indirect effects include higher income, increased employability, job security, and faster promotion

33  Having children is no guarantee of higher happiness  The pleasure of parenting depends on the age of the children, on the quality of the parenting couple, and on the social context, including having enough time to enjoy family life  A man who has children lives like a dog, a man without children dies like a dog

34  Inflation  Income inequality  Quality of work  Retirement  Social Capital  Religion  Altruism and materialism  TV watching  Environment  Mental and physical health

35  Relevance of economic policies  Intrinsic vs. extrinsic incentives  GNP vs. GNH (Gross National Happiness)

36  Procedural Utility  How the outcome is derived also affects utility  This topic is not new though

37  Adaptation  Perceived utility vs. Experienced utility  Salience theory of utility  Bardalo, Gennaioli, & Shleifer  Salience theory of choice under risk (2011)  Salience and consumer choice (2012)  Salience and asset prices (2013)

38  Importance of emotion in decision making  Tuckett (2011): Minding the Markets: An Emotional Finance View of Financial Stability  Taffler and Tuckett (2012): Fund Management: An Emotional Finance Perspective  Fairchlid (2012): From Behavioural to Emotional Finance: Insights into Financial Market Behaviour

39 Thank you very much!

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