Targeting Policies: Multiple Testing and Distributional Treatment Effects
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Cited by:
- Yu-Chin Hsu & Chung-Ming Kuan & Giorgio Teng-Yu Lo, 2017. "Quantile Treatment Effects in Regression Discontinuity Designs with Covariates," IEAS Working Paper : academic research 17-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Kota Ogasawara & Yukitoshi Matsushita, 2019. "Heterogeneous treatment effects of safe water on infectious disease: Do meteorological factors matter?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 55-82, January.
- Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021.
"Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students,"
Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
- Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira & Solovyeva, Anna, 2017. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," FSES Working Papers 487, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Steven F. Lehrer & Weili Ding, 2017. "Are genetic markers of interest for economic research?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-23, December.
- Arindrajit Dube, 2019.
"Minimum Wages and the Distribution of Family Incomes,"
American Economic Journal: Applied Economics, American Economic Association, vol. 11(4), pages 268-304, October.
- Dube, Arindrajit, 2017. "Minimum Wages and the Distribution of Family Incomes," IZA Discussion Papers 10572, Institute of Labor Economics (IZA).
- Arindrajit Dube, 2018. "Minimum Wages and the Distribution of Family Incomes," NBER Working Papers 25240, National Bureau of Economic Research, Inc.
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More about this item
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2017-01-08 (Econometrics)
- NEP-LMA-2017-01-08 (Labor Markets - Supply, Demand, and Wages)
- NEP-PBE-2017-01-08 (Public Economics)
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