In many countries there is a lack of genuine panel data where specific individuals or firms are followed over time. However, repeated cross-sectional surveys may be available, where a random sample is taken from the population at consecutive points in time. In this paper we discuss the identification and estimation of panel data models from repeated cross sections. In particular, attention will be paid to linear models with fixed individual effects, to models containing lagged dependent variables and to discrete choice models.

cohort data, psuedo panel data, repeated cross-sections
Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions (jel C21), Models with Panel Data (jel C23)
hdl.handle.net/1765/12672
Rotterdam School of Management (RSM), Erasmus University

Verbeek, M.J.C.M. (2007). Pseudo Panels and Repeated Cross-Sections. Retrieved from http://hdl.handle.net/1765/12672