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This chapter surveys nonparametric methods for estimation and inference in a panel data setting. Methods surveyed … nonparametric panel-based techniques is less prevalent that, say, nonparametric density and regression techniques. It is our hope …
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We present a unifying identification strategy of dynamic average treatment effect parameters for staggered interventions when parallel trends are valid only after controlling for interactive fixed effects. This setting nests the usual parallel trends assumption, but allows treated units to have...
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This paper develops semiparametric Bayesian methods for inference in dynamic linear panel data models, and applies them … to longitudinal data on labor earnings from the Panel Study of Income Dynamics. We focus on characterizing not only … inference in semiparametric panel data models must solve a nonparametric deconvolution problem arising from the existence of …
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