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Happiness Adaptation to Income and to Status in an Individual Panel

Rafael Di Tella
Harvard Business School - Business, Government and the International Economy Unit; National Bureau of Economic Research (NBER)

John P. Haisken-DeNew
Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI Essen); Institute for the Study of Labor (IZA)

Robert MacCulloch
Imperial College London - Tanaka Business School


2004


Abstract:     
Happiness data can help in evaluating the economic importance of "behavioural" theories. Using individual panel data on up to 7,812 people living in Germany from 1984 to 2000, we illustrate the approach by estimating the size of the effect on happiness of adaptation to income and to status. We cannot reject the null hypothesis that people adapt totally to income after four years. By comparison, significant status effects remain after this time. In the short-run (current year) a one standard deviation increase in status is associated with a similar increase in happiness to an increase of 49% of a standard deviation in income. In the long run (past four years) a one standard deviation increase in status has a similar effect to an increase of 328% of a standard deviation in income. We also discuss some evidence consistent with loss aversion.

Keywords: Happiness, psychology, adaptation to income, adaptation to status

JEL Classifications: I31, D0

Working Paper Series

Date posted: July 26, 2005 ; Last revised: October 15, 2005

Suggested Citation

Di Tella, Rafael, Haisken-DeNew, John P. and MacCulloch, Robert, Happiness Adaptation to Income and to Status in an Individual Panel (2004). Available at SSRN: http://ssrn.com/abstract=760368


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Contact Information

Robert MacCulloch (Contact Author)
Imperial College London - Tanaka Business School ( email )
South Kensington Campus
London SW7 2AZ, DC SW7 2AZ
United Kingdom
Rafael Di Tella
Harvard Business School - Business, Government and the International Economy Unit ( email )
Cambridge, MA United States
617-495-5048 (Phone)
617-496-5985 (Fax)
HOME PAGE: http://www.people.hbs.edu/rditella/
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
John P. Haisken-DeNew
Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI Essen) ( email )
Hohenzollernstraße 1-3
45128 Essen Germany
++49 (201) 8149-280 (Phone)
++49 (201) 8149-200 (Fax)
Institute for the Study of Labor (IZA)
P.O. Box 7240
D-53072 Bonn Germany
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