21 research outputs found
Replication data for: Labor Regulations and the Cost of Corruption: Evidence from the Indian Firm Size Distribution
Amirapu, Amrit, and Gechter, Michael, (2020) "Labor Regulations and the Cost of Corruption: Evidence from the Indian Firm Size Distribution." Review of Economics and Statistics 102:1, 34-48
Replication data for: Labor Regulations and the Cost of Corruption: Evidence from the Indian Firm Size Distribution
Amirapu, Amrit, and Gechter, Michael, (2020) "Labor Regulations and the Cost of Corruption: Evidence from the Indian Firm Size Distribution." Review of Economics and Statistics 102:1, 34-48
Encouraging Rural Sanitation Take-up: Insights from Experimental Evaluations of Interventions
We conduct an organized review of intervention-based studies that aim to promote improved sanitation adoption and use RCTs for evaluation. We impose systematic inclusion criteria to identify such studies, and compile their microdata to harmonize outcome and covariate measures as well as estimands across studies. We then re-analyze their data to report metrics that are consistently defined and measured across studies. We compare the relative effectiveness of different classes of interventions implemented in overlapping ways across four countries: community-level demand encouragement, sanitation subsidies, product information campaigns, and offering microcredit to finance product purchases. Interventions with financial benefits generally outperform information and education campaigns. Effects are typically larger for households with higher shares of women and differ little by poverty status, but more research is needed to confirm our conclusions on effect heterogeneity by household characteristic
To use financial incentives or not? Insights from experiments in encouraging sanitation investments in four countries
We conduct a systematic re-analysis of intervention-based studies that promote hygienic latrines and evaluate via experimental methods. We impose systematic inclusion criteria to identify such studies and compile their microdata to harmonize outcome measures, covariates, and estimands across studies. We then re-analyze their data to report metrics that are consistently defined and measured across studies. We compare the relative effectiveness of different classes of interventions implemented in overlapping ways across four countries: community-level demand encouragement, sanitation subsidies, product information campaigns, and microcredit to finance product purchases. In the sample of studies meeting our inclusion criteria, interventions that offer financial benefits generally outperform information and education campaigns in increasing adoption of improved sanitation. Contrary to a policy concern about sustainability, financial incentives do not undermine usage of adopted latrines. Effects vary by share of women in the household, in both positive and negative directions, and differ little by poverty status
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Labor Regulations and the Cost of Corruption: Evidence from the Indian Firm Size Distribution
In this paper we estimate the costs associated with an important suite of labor regulations in India by taking advantage of the fact that these regulations only apply to firms above a size threshold. Using distortions in the firm size distribution together with a structural model of firm size choice, we estimate that the regulations increase firms' unit Labour costs by 35%. This estimate is robust to potential misreporting on the part of Firms and enumerators. We also document a robust positive association between regulatory costs and exposure to corruption, which may explain why regulations appear to be so costly in developing countries
Generalizing the Results from Social Experiments: Theory and Evidence from India
How informative are treatment effects estimated in one region or time period for another region or time? In this paper, I derive bounds on the average treatment effect in a context of interest using experimental evidence from another context. The bounds are based on (1) the information identified about treatment effect heterogeneity due to unobservables in the experiment and (2) using differences in outcome distributions across contexts to learn about differences in distributions of unobservables. Empirically, using data from a pair of remedial education experiments carried out in India, I show the bounds are able to recover average treatment effects in one location using results from the other while the benchmark method cannot.</p
