Mobile-Based Information Provision on Covid Support in Uttar Pradesh
Last registered on April 09, 2021

Pre-Trial

Trial Information
General Information
Title
Mobile-Based Information Provision on Covid Support in Uttar Pradesh
RCT ID
AEARCTR-0007297
Initial registration date
April 08, 2021
Last updated
April 09, 2021 2:28 PM EDT
Location(s)

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Primary Investigator
Affiliation
Department of Economic Sciences, Indian Institute of Technology Kanpur
Other Primary Investigator(s)
PI Affiliation
University of Kent
PI Affiliation
University of Kent
PI Affiliation
University of Kent
PI Affiliation
University of Kent
PI Affiliation
University of Kent
Additional Trial Information
Status
On going
Start date
2020-04-01
End date
2023-12-31
Secondary IDs
Abstract
COVID-19 and policies to control it have resulted in widespread poverty and food insecurity as the pandemic has adversely affected employment opportunities, incomes and livelihoods of millions of households. In order to protect poor households from income-loss and inaccessibility to food supplies, the central and state governments have introduced several benefits as part of its existing welfare schemes. However, there often exists a gap between introduction and access to these publicly funded government programmes. We conduct a field experiment in the state of Uttar Pradesh, India with just over 1000 households during the COVID-19 pandemic to examine whether raising awareness about government benefits via information provision over the phone leads to improved knowledge, increased access, and greater utilization of these available benefits. We will also assess whether such interventions will be more effective if the male members are targeted vis-à-vis the female members of the households. We believe that this analysis will be of particular interest as understanding what works best in this situation will be essential to improving the design of policies to combat this and similar crises in the future.
External Link(s)
Registration Citation
Citation
Amirapu, Amrit et al. 2021. "Mobile-Based Information Provision on Covid Support in Uttar Pradesh ." AEA RCT Registry. April 09. https://doi.org/10.1257/rct.7297-1.0.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
We will conduct an informational intervention where we will provide subjects living in slums in Uttar Pradesh with information about the main government Covid-19 relief programmes they could have access to. We will have two treatment groups and a control group, that will not receive any information.


Intervention Start Date
2020-09-01
Intervention End Date
2021-02-28
Primary Outcomes
Primary Outcomes (end points)
Awareness, access and utilization of the benefits being provided by the governments via different relief programmes.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Perception of corruption and how governments handled the crisis, voting intentions, information sharing within household and community, food security and wellbeing indicators such as life satisfaction and mental health.
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
1006 households from 60 different slums in the city of Kanpur, Uttar Pradesh were assigned to one of two treatment groups or a control group. The treatment is randomised at the slum-level (such that 20 slums are allotted to each group) in a randomised saturation design to capture any information spillovers to other households within the same slum.


Experimental Design Details
Not available
Randomization Method
Randomization into the different treatment or control groups or treated versus untreated status was assigned by the computer.
Randomization Unit
Randomization was done at the slum level. Within treated slums, we randomly selected 75% of sample households to receive the information. The remaining 25% are 'spillover control' households
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
60 slums.
Sample size: planned number of observations
1006 households from these 60 slums.
Sample size (or number of clusters) by treatment arms
340 households were assigned to the control group (from 20 slums), 334 to the Treatment Female group (from 20 slums) and 332 to the Treatment Male group (from 20 slums), giving us a total of 1006 households from 60 slums.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Assuming there are 17 households per cluster on average, the minimum detectable effect sizes are as follows: For an intracluster correlation of 0, the MDE for continuous outcomes such as knowledge of entitlements and access and utilisation of benefits: 1) Treatment 1 vs control: 0.232 std deviations 2) Treatment 2 vs control: 0.232 std deviations 3) Treatment 1 vs Treatment 2: 0.246 std deviations 4) Pooling Treatment 1 + 2 vs control: 0.197 std deviations 5) Spillover households - Treatment 1 + 2 vs control: 0.263 std deviations For an intracluster correlation of 0.05, the MDE for continuous outcomes such as knowledge of entitlements and access and utilisation of benefits: 1) Treatment 1 vs control: 0.302 std deviations 2) Treatment 2 vs control: 0.302 std deviations 3) Treatment 1 vs Treatment 2: 0.311 std deviations 4) Pooling Treatment 1 + 2 vs control: 0.258 std deviations 5) Spillover households - Treatment 1 + 2 vs control: 0.311 std deviations
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Institutional Ethics Committee (IEC), Indian Institute of Technology Kanpur
IRB Approval Date
2020-06-04
IRB Approval Number
IITK/IEC/2019-20-II/Jun/II
Analysis Plan

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