Reconsidering the analysis of longitudinal happiness data - with an application to the effect of unemployment
Kevin Staub () and
Rainer Winkelmann ()
No 4, ECON - Working Papers from Department of Economics - University of Zurich
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.
Keywords: Ordered response; panel data; correlated heterogeneity; incidental parameters (search for similar items in EconPapers)
JEL-codes: C23 C25 J28 J64 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm
Date: 2011-01, Revised 2011-06
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Persistent link: https://EconPapers.repec.org/RePEc:zur:econwp:004
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