Abstract:
Although sample selection bias is a frequent problem of applied research, there has been no generalization of sample selection models with binary dependent variables of interest to data with temporal error correlations. We suggest a generalized estimating equation approach to panel data selection models, considering binary responses in both equations. We demonstrate the utility of this model by a simulation study and by analyzing highly unbalanced annual panel data taken from the German Socio-Economic Panel Study covering two decades of Green party support.
Additional Information:
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in "Political Analysis" following peer review. The definitive publisher-authenticated version A Selection Model for Panel Data / Martin Spieß, Martin Kroh. In: Political Analysis 18 (2010), 2, pp. 172-188 is available online at: http://dx.doi.org/10.1093/pan/mpp045.