Reconsidering the analysis of longitudinal happiness data - with an application to the effect of unemployment
The paper reconsiders existing estimators for the panel data fixed effects ordered logit model, including one that has not been used in econometric studies before, and studies the small sample properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the literature are inconsistent. Second, the new estimator seems to be more immune to small sample bias than other consistent estimators and is easy to implement. The empirical relevance is illustrated in an application to the effect of unemployment on happiness. Choosing the right estimator avoids a bias of up to 30 percent in key parameters.
|Date of creation:||Jan 2011|
|Date of revision:||Jun 2011|
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- Paul Frijters, 2005.
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2005-2, School of Economics and Finance, Queensland University of Technology.
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- Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, 07.
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CAM Working Papers
2003-16, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Anna Cristina D'Addio & Tor Eriksson & Paul Frijters, 2007. "An analysis of the determinants of job satisfaction when individuals' baseline satisfaction levels may differ," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2413-2423.
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