 The Tobit model with feedback and random effects: A Monte-Carlo studyEva Poen ()
No 2009-14, Discussion Papers from The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham Abstract: We study a random effects censored regression model in the context of repeated games. Introducing a feedback variable into the model leads to violation of the strict exogeneity assumption, thus rendering the random effects estimator inconsistent. Using the example of contributions to a public good, we investigate the size of this bias in a Monte-Carlo study. We find that the magnitude of the bias is around one per cent when initial values and individual effects are correlated. The rate of censoring, as well as the size of the groups in which subjects interact, both have an effect on the magnitude of the bias. The coefficients of strictly exogenous, continuous regressors remain unaffected by the endogeneity bias. The size of the endogeneity bias in our model is very small compared to the size of the heterogeneity bias, which occurs when individual heterogeneity is not accounted for in estimation of nonlinear models. Keywords: Monte-Carlo; Simulation; Random Effects; Censored Regression Model; Public Goods; Heterogeneity; Endogeneity (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:not:notcdx:2009-14 Access Statistics for this paper More papers in Discussion Papers from The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham School of Economics University of Nottingham University Park Nottingham NG7 2RD. Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.