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
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text/x-stata-syntax | 12.1 KB | 12/03/2019 12:52:AM |
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application/x-stata | 424.9 KB | 12/02/2019 08:48:AM |
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application/x-stata | 9.4 KB | 10/28/2019 07:14:AM |
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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:
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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:
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Taxation;
Development;
Redistribution
JEL Classification:
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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
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:
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India
Time Period(s):
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1/1/2011 – 1/1/2012 (2011-2012)
Universe:
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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.
District_levels contains district level data.
Data Type(s):
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survey data
Methodology
Response Rate:
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See http://catalog.ihsn.org/index.php/catalog/3281
Data Source:
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Indian National Sample Survey Organisation
Unit(s) of Observation:
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Households
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