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Endogeneity and non-response bias in treatment evaluation : nonparametric identification of causal effects by instruments

Fricke, Hans; Frölich, Markus; Huber, Martin; Lechner, … - 2015

endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …

Persistent link: https://www.econbiz.de/10011348296

Estimating causal effects with observational data guidelines for agricultural and applied economists

Henningsen, Arne; Low, Guy; Wuepper, David; Dalhaus, Tobias - 2024

Most research questions in agricultural and applied economics are of a causal nature, i.e., how one or more variables (e.g., policies, prices, the weather) affect one or more other variables (e.g., the welfare of individuals or the society, the demanded or produced quantity, pollution). Only a...

Persistent link: https://www.econbiz.de/10015162983

Estimation of Average Treatment Effect on Residuals : Bias Derivation

Minasyan, Vaagn; Mirzoyan, Diana; Sakhnov, Alexander - 2021

, that such approach is not unbiased, since it is approximately unbiased, with approximation bias going worse as number of … study to illustrate arising bias for cases of linear regression based residuals estimate of ATE, as well as for random …

Persistent link: https://www.econbiz.de/10013311059

Estimation of Panel Data Models with Binary Indicators When Treatment Effects are Not Constant Over Time

Laporte, Audrey; Windmeijer, Frank - 2005

We show that two commonly employed estimation procedures to deal with correlated unobserved heterogeneity in panel data … time varying treatment effects when estimating panel data models with binary indicator variables as is illustrated by an …

Persistent link: https://www.econbiz.de/10014062194

Estimation of Panel Data Models with Binary Indicators When Treatment Effects are Not Constant Over Time

Laporte, Audrey; Windmeijer, Frank - 2005

Persistent link: https://www.econbiz.de/10014065031

Fixed effects and causal inference

Millimet, Daniel L.; Bellemare, Marc F. - 2023

Across many disciplines, the fixed effects estimator of linear panel data models is the default method to estimate … panel. We consider several alternatives to the fixed effects estimator with T > 2 when relevant unit-specific heterogeneity … results from multiple linear panel data estimators in applied research. …

Persistent link: https://www.econbiz.de/10014286978

A unified framework for dynamic treatment effect estimation in interactive fixed effect models

Brown, Nicholas; Butts, Kyle - 2022

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...

Persistent link: https://www.econbiz.de/10013556783

Synthetic difference-in-differences estimation

Clarke, Damian; Pailañir, Daniel; Athey, Susan; … - 2023

In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or...

Persistent link: https://www.econbiz.de/10013540490

Endogeneity and Non-Response Bias in Treatment Evaluation : Nonparametric Identification of Causal Effects by Instruments

Fricke, Hans - 2015

endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …

Persistent link: https://www.econbiz.de/10013013571

Breaking ties : regression discontinuity design meets market design

Abdulkadiroğlu, Atila; Angrist, Joshua D.; Narita, Yusuke - 2019

math scores and increase the likelihood of graduating, though by less than OLS estimates suggest. Selection bias in OLS …

Persistent link: https://www.econbiz.de/10011989205