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Estimating endogenous treatment effects using latent factor models with and without instrumental variables

Banerjee, Souvik; Basu, Anirban - In: Econometrics : open access journal 9 (2021) 1, pp. 1-25

We provide evidence on the least biased ways to identify causal effects in situations where there are multiple outcomes that all depend on the same endogenous regressor and a reasonable but potentially contaminated instrumental variable that is available. Simulations provide suggestive evidence...

Persistent link: https://www.econbiz.de/10012503996

Estimation and inference of treatment effects with L2-boosting in high-dimensional settings

Kueck, Jannis; Luo, Ye; Spindler, Martin; Wang, Zigan - In: Journal of econometrics 234 (2023) 2, pp. 714-731

Persistent link: https://www.econbiz.de/10014434364

Evaluating the impact of preferential trade agreement on fishery imports : an application of difference-in-differences with matching method

Chi, Pei-Yu; Chang, Ting-Yu; Chang, Kuo-I - In: Agricultural economics : the journal of the … 53 (2022) 1, pp. 90-124

Persistent link: https://www.econbiz.de/10012816625

Identification with latent choice sets

Kamat, Vishal - 2019

Persistent link: https://www.econbiz.de/10012181960

Instrumental variables in models with multiple outcomes : the general unordered case

Heckman, James J. (contributor); Urzua, Sergio (contributor) - 2008

This paper develops the method of local instrumental variables for models with multiple, unordered treatments when treatment choice is determined by a nonparametric version of the multinomial choice model. Responses to interventions are permitted to be heterogeneous in a general way and agents...

Persistent link: https://www.econbiz.de/10003729412

Instrumental variables in models with multiple outcomes : the general unordered case

Heckman, James J.; Urzua, Sergio; Vytlacil, Edward - 2008

Persistent link: https://www.econbiz.de/10003870351

Convex treatment response and treatment selection

Boes, Stefan - 2010

This paper analyzes the identifying power of weak convexity assumptions in treatment effect models with endogenous selection. The counterfactual distributions are constrained either in terms of the response function, or conditional on the realized treatment, and sharp bounds on the potential...

Persistent link: https://www.econbiz.de/10008695370

Nonparametric IV estimation of local average treatment effects with covariates

Frölich, Markus - In: Journal of econometrics 139 (2007) 1, pp. 35-75

Persistent link: https://www.econbiz.de/10003516664

Treatment evaluation with multiple outcome periods under endogeneity and attrition

Frölich, Markus; Huber, Martin - 2014

Persistent link: https://www.econbiz.de/10010242778

Program evaluation with high-dimensional data

Belloni, Alexandre; Chernozhukov, Victor; … - 2013

We consider estimation of policy relevant treatment effects in a data-rich environ ment where there may be many more … condition allows estimation and inference for a wide variety of treatment parameters to proceed after selection of an … estimating equations. We illustrate the use of the proposed treatment effect estimation methods with an application to estimating …

Persistent link: https://www.econbiz.de/10010200037