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Double-Robust Identification for Causal Panel Data Models

Arkhangelsky, Dmitry; Imbens, Guido - National Bureau of Economic Research - 2021

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 …

Persistent link: https://www.econbiz.de/10012482582

Pre-event Trends in the Panel Event-study Design

Freyaldenhoven, Simon - 2018

We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to … leads to pre-event trends ("pre-trends") in the outcome. Alternative approaches, such as estimation following a test for pre …

Persistent link: https://www.econbiz.de/10012453151

Selection into Identification in Fixed Effects Models, with Application to Head Start

Miller, Douglas L. - 2019

Many papers use fixed effects (FE) to identify causal impacts of an intervention. In this paper we show that when the treatment status only varies within some groups, this design can induce non-random selection of groups into the identifying sample, which we term selection into identification...

Persistent link: https://www.econbiz.de/10012480120

Identification of Non-Additive Fixed Effects Models : Is the Return to Teacher Quality Homogeneous?

Hahn, Jinyong; Singleton, John D.; Yildiz, Neşe - National Bureau of Economic Research - 2023

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 …

Persistent link: https://www.econbiz.de/10014322772

Probabilistic Prediction for Binary Treatment Choice : with Focus on Personalized Medicine

Manski, Charles F. - National Bureau of Economic Research - 2021

This paper extends my research applying statistical decision theory to treatment choice with sample data, using maximum regret to evaluate the performance of treatment rules. The specific new contribution is to study as-if optimization using estimates of illness probabilities in clinical choice...

Persistent link: https://www.econbiz.de/10012660036

Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design

Card, David - 2012

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these …

Persistent link: https://www.econbiz.de/10012460096

Borders within Europe

Santamaría, Marta A. - 2020

Are country borders still an impediment to trade flows within Europe? Using a rich microlevel survey with 3 million annual shipments of goods by road across 269 European regions, we construct a matrix of bilateral trade flows for 12 industries from 2011 to 2017. We then use the causal inference...

Persistent link: https://www.econbiz.de/10012482519