IND_2017_ISUSUIE-EL_v01_M
Incentivizing Sanitation Uptake and Sustainable Usage through Micro Health Insurance, Impact Evaluation 2017
Endline Survey
ISUSUIE-EL 2017
Name | Country code |
---|---|
India | IND |
Other Household Survey [hh/oth]
This impact evaluation consists of a baseline survey and an endline survey. The baseline survey was conducted in 2014 and can be located on the World Bank Microdata Library using the following link: https://microdata.worldbank.org/index.php/catalog/2295. The endline survey is documented here.
Sample survey data [ssd]
v01: Edited, anonymous datasets for public distribution
The scope of this study includes:
Villages:
Households:
Men and Women:
120 Gram Panchayats in two Districts in Maharashtra, Nanded and Latur.
Gram Panchayat
Name | Affiliation |
---|---|
Orazio Attansio | Institute of Fiscal Studies, University of London |
Britta Augsburg | Institute of Fiscal Studies, University of London |
Name | Affiliation | Role |
---|---|---|
Jane Bevan | Water and Sanitation Program, World Bank | Task Team Leader |
Name | Abbreviation |
---|---|
Strategic Impact Evaluation Fund | SIEF |
This evaluation is based on a 'cluster randomized controlled trial'. The study started off by determining the set of 120 Gram Panchayats (GPs) to consider as part of the evaluation and then to randomly allocate each of these to the three different evaluation arms. The second step was the randomization of the 120 GPs to one of three evaluation arms. Randomization was stratified by branch and by size of the GP (size in terms of number of households). The study stratified not only at the GP-level randomization, but also when selecting the sample of survey respondents. Study households were stratified by (i) whether a client lived in the household and (ii) whether a child under the age of two years lived in the household. All client households interviewed at the baseline (around 1,800) were included in the endline sample of client survey, referred to as the `panel client household’.
To limit sample loss due to attrition for the endline survey from the baseline survey, the study tracked households if they moved (i) within the GP where they lived at baseline, and (ii) to another GP in the study area. 2,400 additional households were selected among clients already active at baseline and belonging to those lending groups (kendra) where at least one client household was interviewed for the baseline survey. Overall, they sampled around 75% of all 5,350 active at the time of the baseline survey.
As was the case with client households interviewed at baseline, they also revisited all non-client households interviewed at the baseline (around 1,800) for the endline survey. They supplemented the original non-client households with a sample of households living close to a random sample of client households (which we refer to as the index households). They surveyed around 8 - 9 index households per GPs according to the size of the client population in that GP, for a total of 1,000 index households and 5,000 neighbor households from the same 120 GPs.
As mentioned above, panel households were tracked within the GP and in other GPs within the study area to limit attrition. The attrition rate for the whole panel sample was on average 4% (2% and 6% among non-clients and clients respectively), between the baseline and endline surveys.
The data was collected using the following survey instruments:
The questionnaires are provided in English and are made available for download here.
Start | End | Cycle |
---|---|---|
2017-08-01 | 2018-01-01 | Endline Survey |
Name |
---|
Nielsen India (PVT) Ltd |
World Bank Microdata Library
Name | Affiliation |
---|---|
Holly Jean Blagrave | The World Bank Group |
2018-12-03
Name | Affiliation | URL | |
---|---|---|---|
Strategic Impact Evaluation Fund | The World Bank Group | https://www.worldbank.org/en/programs/sief-trust-fund | siefimpact@worldbank.org |
Public Access
Use of the dataset must be acknowledged using a citation which would include:
Example:
Orazio Attansio and Britta Augsburg, Institute of Fiscal Studies, University of London. India - Incentivizing Sanitation Uptake and Sustainable Usage through Micro Health Insurance, Impact Evaluation 2017, Endline Survey. Ref: IND_2017_ISUSUIE-EL_v01_M. Dataset downloaded from [URL] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
Strategic Impact Evaluation Fund | The World Bank Group | siefimpact@worldbank.org |
Jane Bevan | Water & Sant. Prgrm-SAR, World Bank | jbevan1@worldbank.org |
DDI_IND_2017_ISUSUIE-EL_v01_M_WB
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
Development Economics Data Group | DECDG | The World Bank Group | Documentation of the study |
2023-11-15T05:00:00.000Z
Version 01 (November 2023)
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