Replication data for: Saving by Default: Evidence from a Field Experiment in Rural India
Principal Investigator(s): View help for Principal Investigator(s) Vincent Somville; Lore Vandewalle
Version: View help for Version V1
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Project Citation:
Somville, Vincent, and Vandewalle, Lore. Replication data for: Saving by Default: Evidence from a Field Experiment in Rural India. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116344V1
Project Description
Summary:
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Access to banks is rapidly increasing worldwide, and allows account-based instead of cash transfers. We conduct a randomized experiment documenting the impact of the payment method on savings behavior. In India, we allocate identical weekly payments into a bank account (treated) or in cash (control). Savings in the account increase by 131 percent within three months, and the effect is long lasting. We also show that cash payments increase consumption and that—once everyone is paid in cash again—the saving patterns no longer differ. We interpret these findings as a default effect, and we further discuss plausible mechanisms.
Scope of Project
Subject Terms:
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ficial diaries;
consumption;
savings
JEL Classification:
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C93 Field Experiments
D14 Household Saving; Personal Finance
D90 Micro-Based Behavioral Economics: General
G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
O12 Microeconomic Analyses of Economic Development
O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
C93 Field Experiments
D14 Household Saving; Personal Finance
D90 Micro-Based Behavioral Economics: General
G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
O12 Microeconomic Analyses of Economic Development
O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
Geographic Coverage:
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India
Collection Date(s):
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2014 – 2014
Universe:
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low income, rural, India
Data Type(s):
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survey data;
administrative records data;
experimental data
Methodology
Unit(s) of Observation:
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households,
individuals,
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