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Testing for restricted stochastic dominance

Davidson, Russell; Duclos, Jean-Yves - 2006

on an empirical likelihood ratio. The computations necessary for obtaining a test statistic also provide estimates of the … be used to perform bootstrap tests that can turn out to provide much improved reliability of inference compared with the …

Persistent link: https://www.econbiz.de/10010267350

Practical Significance, Meta-Analysis and the Credibility of Economics

Stanley, Tom D.; Doucouliagos, Chris - 2019

Recently, there has been much discussion about replicability and credibility. By integrating the full research record, increasing statistical power, reducing bias and enhancing credibility, meta-analysis is widely regarded as 'best evidence'. Through Monte Carlo simulation, closely calibrated on...

Persistent link: https://www.econbiz.de/10012059188

Testing for Restricted Stochastic Dominance

Davidson, Russell; Duclos, Jean-Yves - Institute for the Study of Labor (IZA) - 2006

Persistent link: https://www.econbiz.de/10005822195

Causal Analysis after Haavelmo

Heckman, James J.; Pinto, Rodrigo - 2013

causal parameters from their identification. He showed that causal parameters are de fined using hypothetical models that … Pearl in securing identification of economic models. We extend our framework to consider models for simultaneous causality …

Persistent link: https://www.econbiz.de/10010329149

Let the Data Speak? On the Importance of Theory-Based Instrumental Variable Estimations

Grossmann, Volker; Osikominu, Aderonke - 2019

In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV … design credible identification strategies, aforemost finding candidates for valid instruments. We discuss prominent IV …

Persistent link: https://www.econbiz.de/10011984640

Causality and Econometrics

Heckman, James J.; Pinto, Rodrigo - 2022

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

Persistent link: https://www.econbiz.de/10013177722

Causal Analysis after Haavelmo

Heckman, James J.; Pinto, Rodrigo - Institute for the Study of Labor (IZA) - 2013

causal parameters from their identification. He showed that causal parameters are de fined using hypothetical models that …-calculus of Pearl in securing identification of economic models. We extend our framework to consider models for simultaneous …

Persistent link: https://www.econbiz.de/10010766377

Simple Tests for Selection Bias: Learning More from Instrumental Variables

Black, Dan A.; Joo, Joonhwi; LaLonde, Robert J.; Smith, … - 2015

Average Treatment Effects. The tests allow researchers not only to test for selection on either or both of the treated and …

Persistent link: https://www.econbiz.de/10011345405

An Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach

Yun, Myeong-Su; Lin, Eric S. - 2015

Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is identified in the sense that it is invariant to the choice of an unobserved non-discriminatory wage structure, and to the choice of the reference groups of any categorical...

Persistent link: https://www.econbiz.de/10011401658

Robust standard errors in transformed likelihood estimation of dynamic panel data models

Hayakawa, Kazuhiko; Pesaran, M. Hashem - 2012

trivial due to the incidental parameters problem that arises, and its implications for estimation and inference. We approach … that are robust to cross-sectional heteroskedasticity of unknown form. By means of Monte Carlo simulation, we investigate … proposed in the literature. Simulation results reveal that, in terms of median absolute errors and accuracy of inference, the …

Persistent link: https://www.econbiz.de/10010282268