Replication data for: Spring Cleaning: Rural Water Impacts, Valuation, and Property Rights Institutions (doi:10.7910/DVN/28063)

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Replication data for: Spring Cleaning: Rural Water Impacts, Valuation, and Property Rights Institutions

doi:10.7910/DVN/28063

Harvard Dataverse

2015-01-05

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Kremer, Michael; Leino, Jessica; Miguel, Edward; Peterson, Alix, 2015, "Replication data for: Spring Cleaning: Rural Water Impacts, Valuation, and Property Rights Institutions", https://doi.org/10.7910/DVN/28063, Harvard Dataverse, V3

Replication data for: Spring Cleaning: Rural Water Impacts, Valuation, and Property Rights Institutions

doi:10.7910/DVN/28063

Kremer, Michael

Leino, Jessica

Miguel, Edward

Peterson, Alix

Harvard Dataverse

Harvard Dataverse Network

2014-12-07

2014-12-07

https://doi.org/10.7910/DVN/28063

Social Sciences, Health, Education, Human capital, Environment, Climate, African development

Using a randomized evaluation in Kenya, we measure health impacts of spring protection, an investment that improves source water quality. We also estimate households' valuation of spring protection and simulate the welfare impacts of alternatives to the current system of common property rights in water, which limits incentives for private investment. Spring infrastructure investments reduce fecal contamination by 66%, but household water quality improves less, due to recontamination. Child diarrhea falls by one quarter. Travel-cost based revealed preference estimates of households' valuations are much smaller than both stated preference valuations and health planners' valuations, and are consistent with models in which the demand for health is highly income elastic. We estimate that private property norms would generate little additional investment while imposing large static costs due to above-marginal-cost pricing, private property would function better at higher income levels or under water scarcity, and alternative institutions could yield Pareto improvements.

Terms of Data: 1. To use the data set solely for research purposes, including statistical reporting and analysis. The database cannot be used for commercial ends, nor can it be sold 2. To maintain a secure computing environment for storage and use of these data sets and any data sets derived from it. Users agree not to share these data with, or provide copies of these data to, any other person or organization and to return or destroy these data sets, and any derivative data files, upon request from administrators. 3. To obtain relevant IRB and possibly other required approvals before using data.

Kremer, Michael, Jessica Leino, Edward Miguel, and Alix Peterson. 2011. "Spring Cleaning: Rural Water Impacts, Valuation, and Property Rights Institutions." Quarterly Journal of Economics 126 (1): 145-205.

Kremer, Michael, Jessica Leino, Edward Miguel, and Alix Peterson. 2011. "Spring Cleaning: Rural Water Impacts, Valuation, and Property Rights Institutions." Quarterly Journal of Economics 126 (1): 145-205.

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data.zip

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ZIP file with Stata datasets

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MLE.zip

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ZIP file with Matlab dataset to replicate end of Table 7

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readme_SpringCleaning.txt

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Readme file with guide to data replication

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SIP_Aug2017.do

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STATA do file with analysis code

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table8.zip

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Zip file with Matlab files to replicate Table 8

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