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Proxy variables and nonparametric identification of causal effects

DeLuna, Xavier; Fowler, Philip; Johansson, Per-Olov - In: Economics letters 150 (2017), pp. 152-154

Persistent link: https://www.econbiz.de/10011765095

Estimation of time-varying average treatment effects using panel data when unobserved fixed effects affect potential outcomes differently

Sakaguchi, Shosei - In: Economics letters 146 (2016), pp. 82-84

Persistent link: https://www.econbiz.de/10011619104

Estimating partially conditional quantile treatment effects

Cai, Zongwu; Fang, Ying; Lin, Ming; Tang, Shengfang - 2020

Persistent link: https://www.econbiz.de/10012425391

Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed

Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - In: Labour economics : official journal of the European … 65 (2020)

Persistent link: https://www.econbiz.de/10012522902

Identification and estimation of unconditional policy effects of an endogenous binary treatment : an unconditional MTE approach

Martínez-Iriarte, Julián; Sun, Yixiao - University of California, San Diego / Department of … - 2021

Persistent link: https://www.econbiz.de/10012504094

How much should we trust staggered difference-in-differences estimates?

Baker, Andrew; Larcker, David F.; Wang, Charles C. Y. - 2021

Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the presence of treatment...

Persistent link: https://www.econbiz.de/10012504212

Partial identification of population average and quantile treatment effects in observational data under sample selection

Christelis, Dimitris; Messina, Julián - 2019

This paper partially identifies population treatment effects in observational data under sample selection, without the benefit of random treatment assignment. Bounds are provided for both average and quantile population treatment effects, combining assumptions for the selected and the...

Persistent link: https://www.econbiz.de/10011992007

Outcome conditioned treatment effects

Hoderlein, Stefan; Sasaki, Yuya - 2013

This paper introduces average treatment effects conditional on the outcomes variable in an endogenous setup where outcome Y, treatment X and instrument Z are continuous. These objects allow to refine well studied treatment effects like ATE and ATT in the case of continuous treatment (see Florens...

Persistent link: https://www.econbiz.de/10009783118

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 … treatment-on-the-treated parameter (Florens et al. (2008)) that would be identified in an ideal randomized experiment. We show …

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

Testing conditional independence in macroeconomic policy evaluation for time series data

Fang, Ying; Lin, Ming; Tang, Shengfang; Cai, Zongwu - 2021

Persistent link: https://www.econbiz.de/10012663950