The Causal Effects of Old Age Pensions
Last registered on April 29, 2019

Pre-Trial

Trial Information
General Information
Title
The Causal Effects of Old Age Pensions
RCT ID
AEARCTR-0004140
Initial registration date
April 26, 2019
Last updated
April 29, 2019 10:41 PM EDT
Location(s)

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Primary Investigator
Affiliation
MIT
Other Primary Investigator(s)
PI Affiliation
Government of Tamil Nadu
PI Affiliation
MIT
Additional Trial Information
Status
In development
Start date
2019-02-04
End date
2027-12-31
Secondary IDs
Unique Protocol ID, ClinicalTrials.gov: 223749
Abstract
Old age pensions are a common feature of welfare policy worldwide. However, little is known about the effect of these pensions on the recipients and their families. In this study, we will partner with the government of Tamil Nadu, India to study the effects of old age pensions. We will assign households with a member who is likely to be eligible for the pension but not currently receiving it to either a treatment or control condition. Those assigned to treatment will receive assistance in applying for the pension. We will track outcomes of the elderly and their family members for several years following the intervention.
External Link(s)
Registration Citation
Citation
Banerjee, Abhijit, Esther Duflo and Girija Vaidyanathan. 2019. "The Causal Effects of Old Age Pensions." AEA RCT Registry. April 29. https://doi.org/10.1257/rct.4140-1.0.
Former Citation
Banerjee, Abhijit et al. 2019. "The Causal Effects of Old Age Pensions." AEA RCT Registry. April 29. https://www.socialscienceregistry.org/trials/4140/history/45620.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
The intervention will offer elderly assistance in applying for the pension.
Intervention Start Date
2019-07-15
Intervention End Date
2020-07-15
Primary Outcomes
Primary Outcomes (end points)
Financial security; health status
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Survival; labor supply of relatives
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The experiment will be conducted in a subsample of 5,000 households identified for a panel survey on the status of the elderly in Tamil Nadu, India. This sample will be surveyed every two years for eight years. The pension intervention will be delivered between the first and second waves of the panel.
Experimental Design Details
Not available
Randomization Method
Randomization will be done in Stata.
Randomization Unit
Household
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1,279 households
Sample size: planned number of observations
1,279 households
Sample size (or number of clusters) by treatment arms
50% of the sample will be assigned to treatment and 50% to control.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Institutional Review Board, National Bureau of Economic Research
IRB Approval Date
2018-09-20
IRB Approval Number
IRB Ref#18_420