Details about Sarojini R. Hirshleifer
Access statistics for papers by Sarojini R. Hirshleifer.
Last updated 2023-10-09. Update your information in the RePEc Author Service.
Short-id: phi210
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Working Papers
2024
- Correcting Attrition Bias using Changes-in-Changes
Papers, arXiv.org View citations (1)
2022
- Testing Attrition Bias in Field Experiments
Working Papers, University of California at Riverside, Department of Economics View citations (3)
Also in 2019 Annual Meeting, July 21-23, Atlanta, Georgia, Agricultural and Applied Economics Association (2019) View citations (6)
2020
- Testing for Attrition Bias in Field Experiments
Working Papers, University of California at Riverside, Department of Economics View citations (2)
Also in Working Papers, University of California at Riverside, Department of Economics (2019) View citations (5)
2017
- Incentives for Effort or Outputs? A Field Experiment to Improve Student Performance
Working Papers, University of California at Riverside, Department of Economics View citations (10)
2014
- The Impact of Vocational Training for the Unemployed: Experimental Evidence from Turkey
IZA Discussion Papers, Institute of Labor Economics (IZA) View citations (19)
Also in Policy Research Working Paper Series, The World Bank (2014) View citations (36)
See also Journal Article The Impact of Vocational Training for the Unemployed: Experimental Evidence from Turkey, Economic Journal, Royal Economic Society (2016) View citations (55) (2016)
2011
- Advancing adult learning in Eastern Europe and Central Asia
Social Protection Discussion Papers and Notes, The World Bank View citations (9)
Journal Articles
2016
- The Impact of Vocational Training for the Unemployed: Experimental Evidence from Turkey
Economic Journal, 2016, 126, (597), 2115-2146 View citations (55)
See also Working Paper The Impact of Vocational Training for the Unemployed: Experimental Evidence from Turkey, IZA Discussion Papers (2014) View citations (19) (2014)
Software Items
2023
- ATTREGTEST: Stata module to implement the regression-based attrition tests proposed in Ghanem et al. (2022)
Statistical Software Components, Boston College Department of Economics
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