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An Examination of the Dynamics of Happiness Using Vector Autoregressions Author info | Abstract | Publisher info | Download info | Related research | Statistics Martin Binder ()
Alex Coad ()
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We use a panel vector autoregressions model to examine the coevolution of changes in happiness and changes in income, health, marital status as well as employment status for the British Household Panel Survey (BHPS) data set. This technique allows us to simultaneously analyze the impact of the aforementioned factors on each other. We find that increases in happiness are associated with subsequent increases in income, marriage, employment, and health variables, while increases in the these life-domain variables (except health) tend to be followed by decreases in happiness in subsequent periods, suggesting adaptation dynamics in all domains. These findings are quite robust to different model specifications.
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Paper provided by Max Planck Institute of Economics, Evolutionary Economics Group in its series Papers on Economics and Evolution with number
2009-04.
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Date of creation: Apr 2009Date of revision:
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Keywords: Happiness dynamics ; vector autoregressions ; subjective well-being ; BHPS Length 36 pages ; Other versions of this item:
Find related papers by JEL classification: I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
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