Piper, Alan T. (2013): Happiness, Dynamics and Adaptation.
Preview |
PDF
MPRA_paper_52342.pdf Download (506kB) | Preview |
Abstract
This investigation employs dynamic panel analysis to provide new insights into the phenomenon of adaptation. Using the British Household Panel Survey, it is demonstrated that happiness is largely (but not wholly) contemporaneous. This can help provide explanations for previous findings, where many events entered into in the past are often adapted to (like marriage and divorce), and others are not adapted to (like unemployment and poverty). An event – no matter when entered into - must have a contemporaneous impact on either the life of an individual or an individual’s perception of their life (or both) for it to be reflected in self-reported life satisfaction scores. This contemporaneous finding also explains other results in the literature about the well-being legacy of events.
Item Type: | MPRA Paper |
---|---|
Original Title: | Happiness, Dynamics and Adaptation |
Language: | English |
Keywords: | Adaptation, Life Satisfaction, Happiness, Dynamic Panel Analysis, GMM |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I31 - General Welfare, Well-Being J - Labor and Demographic Economics > J1 - Demographic Economics > J12 - Marriage ; Marital Dissolution ; Family Structure ; Domestic Abuse J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J63 - Turnover ; Vacancies ; Layoffs J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J64 - Unemployment: Models, Duration, Incidence, and Job Search |
Item ID: | 52342 |
Depositing User: | Alan T. Piper |
Date Deposited: | 20 Dec 2013 21:45 |
Last Modified: | 28 Sep 2019 14:32 |
References: | Arellano, M. and Bond. S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations, The Review of Economic Studies 58, pp. 277 – 297. Arellano, M, and Bover, O. (1995) Another look at the instrumental variable estimation of error -components models, Journal of Econometrics 68, pp. 29–51. Baum, C. F., M. E. Schaffer, and S. Stillman. 2003. Instrumental variables and GMM: Estimation and testing. Stata Journal 3: 1–31. Bond, S. R. (2002) Dynamic Panel Models: A Guide to Micro Data Methods and Practice. Institute for Fiscal Studies / Department of Economics, UCL, CEMMAP (Centre for Microdata Methods and Practice)Working Paper No.CWPO9/02. Bottan, N. L. and Perez-Truglia, R.N. (2010) Deconstructing the Hedonic Treadmill: Is Happiness Autoregressive? Working Paper Series Harvard University http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1262569 Bottan, N. L. and Perez-Truglia, R.N. (2011) Deconstructing the Hedonic Treadmill: Is Happiness Autoregressive? Journal of Socio-Economics 40, 3: pp. 224-236. Clark, A. E., D’Ambrosio, C. and Ghislandi, S. (2013) “Poverty and Well-Being: Panel Evidence from Germany”, CDG Working Paper 11. Clark, A.E., Diener, E., Georgellis, Y. and Lucas, R. (2008a) Lags and Leads in Life Satisfaction: A Test of the Baseline Hypothesis, Economic Journal 118, pp. F222–F243. Clark, A. E., Frijters, P. and Shields, M. A. (2008b) Relative Income, Happiness and Utility: An Explanation for the Easterlin Paradox and Other Puzzles, Journal of Economic Literature 46, 1: pp.95-144. Clark, A. E. and Georgellis, Y. (2013) Back to Baseline in Britain: Adaptation in the BHPS Economica, 80 (319), pp. 496–512 Della Giusta, M.,Jewell, S., and Kambhampati, U. (2010)Anything to Keep You Happy?, Economics & Management Discussion Papers 01, Henley Business School, Reading University. Dolan, P., Peasgood, T., and White, M. (2008). Do we really know what makes us happy A review of the economic literature on the factors associated with subjective well-being, Journal of Economic Psychology, Elsevier, vol. 29: 1, pp. 94-122. Drukker, D. M. (2003) Testing for serial correlation in linear panel-data models. Stata Journal 3, pp. 168-177. Frijters, P., Johnson, D., Shields, M.A. (2011), ‘Life Satisfaction Dynamics with Quarterly Life Event Data, Scandinavian Journal of Economics, vol. 113, pp. 190–211. Gardner, J. and Oswald, A.J. (2006). ‘Do Divorcing Couples Become Happier By Breaking Up?’ Journal of the Royal Statistical Society Series A, vol. 169, pp. 319-336. Gilbert, D. (2006) Stumbling on Happiness. London: Harper Press. Godfrey,L. G., 1991. Misspecification Tests in Econometrics. Cambridge Books, Cambridge University Press. Greene, W. (2002) Econometric Analysis, Fifth Edition. Upper Saddle River, New Jersey: Prentice Hall. Greene, W. (2008) Econometrics Analysis, Sixth Edition. Upper Saddle River, New Jersey: Prentice Hall. Hall, A. R. (2004) Generalized Method of Moments. Oxford: Oxford University Press. Kavetsos, G. and Szymanski, S. (2010) National well-being and international sports events. Journal of Economic Psychology, vol. 31:2, pp.158-171. King, G. and Roberts, R.(2012) How Robust Standard Errors Expose Methodological Problems They Do Not Fix, Presented at the 2012 Annual Meeting of the Society for Political Methodology, Duke University. Lucas, R. (2005). Time does not heal all wounds - A longitudinal study of reaction and adaptation to divorce. Psychological Science, vol. 16, pp. 945-950. Lucas, R.E., Clark A.E., Georgellis, Y. and Diener E. (2004). Unemployment Alters the Set-Point for Life Satisfaction. Psychological Science, vol. 15, pp. 8-13. MacKerron, G. (2012). Happiness Economics from 35 000 Feet, Journal of Economic Surveys, vol. 26: 4, pp. 705-735, 09. Nickel, S. J. (1981) Biases in Dynamic Models with Fixed Effects, Econometrica, 49 , pp. 1417-1426 Oswald, A. J. and Powdthavee, N. (2008) Does Happiness Adapt? A Longitudinal Study of Disability with Implications for Economists and Judges, Journal of Public Economics 92, pp. 1061-1077. Piper, A. T. (2012) Dynamic Analysis and the Economics of Happiness: Rationale, Results and Rules, MPRA Paper 43248, University Library of Munich, Germany. Piper, A. T. (2013) A Note on Modelling Dynamics in Happiness Estimations, MPRA Paper 49364, University Library of Munich, Germany. Powdthavee, N. (2009) I can't smile without you: Spousal correlation in life satisfaction, Journal of Economic Psychology, vol. 30: 4, pp. 675-689. Roodman, D. (2006) How to do xtabond2: An Introduction to “Difference” and “System” GMM in STATA, Center for Global Development, Working Paper No. 103. Roodman, D. (2007) A Note on the Theme of Too Many Instruments, Center for Global Development, Working Paper No.125. Roodman, D. (2009) How to do xtabond2: An Introduction to Difference and System GMM in Stata, The Stata Journal, 9(1) pp.86-136. Rudolf, R. and Kang, S-J. (2011) The Baseline Hypothesis Revisited. Evidence from a Neo-Confucianist Society, Georg-August-Universität Göttingen, mimeo. Sinfield, A. (1981) What Unemployment Means. Chichester: Wiley-Blackwell Steiner, L., Frey, B.S. and Hotz, S. (2013) European capitals of culture and life satisfaction, ECON - Working Papers 117, Department of Economics - University of Zurich. Stutzer, A. and Frey, B.S. (2006). Does Marriage Make People Happy, Or Do Happy People Get Married? Journal of Socio-Economics, vol. 35, pp. 326-347. Verbeek, M. (2000) A Guide to Modern Econometrics. Chichester: Wiley. Windmeijer, F. (2005) A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics 126: 25-51. Wooldridge, J. M. (2002) Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press. Wunder, C. (2012) Does subjective well-being dynamically adjust to circumstances?, Economics Letters, vol. 117: 3, pp. 750-752. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/52342 |