Mostly harmless simulations? Using Monte Carlo studies for estimator selection-Reference-Cited by-同舟云学术

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Mostly harmless simulations? Using Monte Carlo studies for estimator selection

Published:2019-09 Issue:6 Volume:34 Page:893-910
ISSN:0883-7252
Container-title:Journal of Applied Econometrics
language:en
Short-container-title:J Appl Econ

Author:

Advani Arun¹²³,Kitagawa Toru⁴⁵,Słoczyński Tymon⁶⁷

Affiliation:

1. Department of Economics University of Warwick Warwick UK

2. Centre for Competitive Advantage in the Global Economy University of Warwick Warwick UK

3. Institute for Fiscal Studies London UK

4. Department of Economics University College London London UK

5. Centre for Microdata Methods and Practice London UK

6. Department of Economics and International Business School Brandeis University Waltham Massachusetts United States

7. IZA—Institute of Labor Economics Bonn Germany

Publisher

Wiley

Subject

Economics and Econometrics,Social Sciences (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jae.2724

Reference48 articles.

1. Econometric Methods for Program Evaluation

2. Implementing Matching Estimators for Average Treatment Effects in Stata

3. Large Sample Properties of Matching Estimators for Average Treatment Effects

4. Bias-Corrected Matching Estimators for Average Treatment Effects

5. Matching on the Estimated Propensity Score

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