Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed … effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters … additively and interacts with treatment variables. We present identification and estimation methods for parameters of interest in …

This survey discusses the recent causal panel data literature. This recent literature has focused on credibly … empirical researchers. It pays particular attention to heterogeneity in the causal effects, often in situations where few units …

proposed by Papke and Wooldridge, 1996, 2008, in univariate cross-sectional and panel contexts. The paper discusses the … econometric strategies for share model estimation. The paper then goes on to discuss the univariate fractional regression … estimation strategies proposed by Papke and Wooldridge and to extend the fractional regression approach to estimation of and …

Short panel data sets constructed by matching individuals across monthly files of the Current Population Survey (CPS …

panel data to estimate the textbook 'expectations augmented' Phillips curve with a market-based and observable measure of …

examine the stylized facts regarding environmental expenditures and innovation in a panel of manufacturing industries. We find …

This study presents a general methodology for fitting multiple time series models to panel data. The basic statistical … panel data, and it identifies those instances in which procedures found in the time series literature cannot be directly … applied to analyze longitudinal data. Data analysis techniques in the tine series literature are adapted for panel data …