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 …

compensating wage differential models, a panel formed from the National Longitudinal Survey of Youth 1997, and dynamic panel … estimation methods in this investigation. We uncover a causal relationship between two of five measures of health and the wage in …

This paper considers estimation and testing of vector autoregression coefficients in panel data, and applies the …

In this paper we apply these ideas to synthetic control type problems in panel data setting. In this setting a number …

collection, we develop and field a new monthly panel Survey of Business Uncertainty. The SBU began in 2014 and now covers about 1 …

In this paper we study methods for estimating causal effects in settings with panel data, where a subset of units are …

We study identification and estimation of causal effects in settings with panel data. Traditionally researchers follow … follow the two paths to identification, and develop a double robust approach. We propose estimation methods that build on …