Replication Data for 'Does Rationing Increase Welfare?'

Principal Investigator(s):  View help for Principal Investigator(s) Lucie Gadenne, University of Warwick

Version:  View help for Version V1

Name File Type Size Last Modified
Figures_Tables_AEJPol_openicpsr2018-0659.do text/x-stata-syntax 12.1 KB 12/03/2019 12:52:AM
READ_ME_AEJPol_openicpsrt2018-0659.pdf application/pdf 577.5 KB 12/03/2019 12:34:AM
calibration_data.dta application/x-stata 424.9 KB 12/02/2019 08:48:AM
district_level_data.dta application/x-stata 9.4 KB 10/28/2019 07:14:AM
household_level_data.dta application/x-stata 13.8 MB 10/28/2019 09:31:AM

Project Citation: 

Gadenne, Lucie. Replication Data for “Does Rationing Increase Welfare?” Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-10-26. https://doi.org/10.3886/E115209V1

Project Description

Summary:  View help for Summary In many developing countries households can purchase limited quantities of good at a fixed subsidized price through ration shops. This paper asks whether the characteristics of developing countries explain why governments use such systems. I find an equity-efficiency trade-off: an efficiency-maximizing government will never use ration shops but a welfare-maximizing one might, to redistribute and provide insurance. Welfare gains of ration shops will be highest for necessity goods and goods with high price risk. I calibrate the model for India and find that ration shops are welfare improving for three of the four goods sold through the system today.

Scope of Project

Subject Terms:  View help for Subject Terms Taxation; Development; Redistribution
JEL Classification:  View help for JEL Classification
      H21 Taxation and Subsidies: Efficiency; Optimal Taxation
      H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
      O23 Fiscal and Monetary Policy in Development
Geographic Coverage:  View help for Geographic Coverage India
Time Period(s):  View help for Time Period(s) 1/1/2011 – 1/1/2012 (2011-2012)
Universe:  View help for Universe Household_level_data contains household level data. The data is representative of all Indian households at the regional level.
District_levels contains district level data.
Data Type(s):  View help for Data Type(s) survey data

Methodology

Response Rate:  View help for Response Rate See http://catalog.ihsn.org/index.php/catalog/3281
Sampling:  View help for Sampling See http://catalog.ihsn.org/index.php/catalog/3281
Data Source:  View help for Data Source Indian National Sample Survey Organisation
Weights:  View help for Weights See http://catalog.ihsn.org/index.php/catalog/3281
Unit(s) of Observation:  View help for Unit(s) of Observation Households

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Published Versions

V1 [2020-10-26]

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