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Masteny, Matthew A.; Poirierz, Alexandre - 2017

A breakdown frontier is the boundary between the set of assumptions which lead to a specific conclusion and those which do not. In a potential outcomes model with a binary treatment, we consider two conclusions: First, that ATE is at least a specific value (e.g., nonnegative) and second that the...

Persistent link: https://www.econbiz.de/10011645504

Overidentification test in a nonparametric treatment model with unobserved heterogeneity : conference paper

Dzemski, Andreas; Sarnetzki, Florian - 2014 - This version: February 15, 2014

is related to the test of the validity of the matching approach in Heckman et. al 1996,1998. Conditional on covariates …

Persistent link: https://www.econbiz.de/10010491120

The finite sample performance of inference methods for propensity score matching and weighting estimators

Bodory, Hugo; Camponovo, Lorenzo; Huber, Martin; … - 2016

-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both … ones in terms of size and power for both matching and weighting estimators. Furthermore, the results are qualitatively …

Persistent link: https://www.econbiz.de/10011452098

The finite sample performance of inference methods for propensity score matching and weighting estimators

Bodory, Hugo; Camponovo, Lorenzo; Huber, Martin; … - 2016

Persistent link: https://www.econbiz.de/10011717677

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; … - 2019

Persistent link: https://www.econbiz.de/10012060603

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; … - 2019

Persistent link: https://www.econbiz.de/10012098947

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; … - 2020

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …Propensity Score Matching-Schätzer sind ein zentrales Tool, um Wirkungen aktiver Arbeitsmarktpolitik mit …

Persistent link: https://www.econbiz.de/10012165548

Partial independence in nonseparable models

Masten, Matthew A.; Poirier, Alexandre - 2016

We analyze identification of nonseparable models under three kinds of exogeneity assumptions weaker than full statistical independence. The first is based on quantile independence. Selection on unobservables drives deviations from full independence. We show that such deviations based on quantile...

Persistent link: https://www.econbiz.de/10011488374

No need to run millions of regressions

Sturm, Jan-Egbert - 2000

We argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, we then use reweighted least squares...

Persistent link: https://www.econbiz.de/10009781564

Posterior average effects

Bonhomme, Stéphane; Weidner, Martin - 2019

Economists are often interested in estimating averages with respect to distributions of unobservables. Examples are moments of individual fixed-effects, average effects in discrete choice models, or counterfactual simulations in structural models. For such quantities, we propose and study...

Persistent link: https://www.econbiz.de/10012063813

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