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agriculture-census-surveys

COVID-19 Related Shocks Survey (CRSS) in Rural India 2020

India, 2020
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Reference ID
IND_2020_CRSS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Agriculture Census and Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 05, 2021
Last modified
Nov 08, 2022
Page views
13427
Downloads
198
  • Study Description
  • Data Description
  • Downloads
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Data Processing
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
IND_2020_CRSS_v01_EN_M_v01_A_OCS
Title
COVID-19 Related Shocks Survey (CRSS) in Rural India 2020
Country
Name Country code
India IND
Study type
Other Household Survey [hh/oth]
Series Information
This is the COVID-19 Related Shocks Survey 2020, covering rounds 1 -3.
Abstract
An effective policy response to the economic impacts of the COVID-19 pandemic requires an enormous range of data to inform the design and response of programs. Public health measures require data on the spread of the disease, beliefs in the population, and capacity of the health system. Relief efforts depend on an understanding of hardships being faced by various segments of the population. Food policy requires measurement of agricultural production and hunger. In such a rapidly evolving pandemic, these data must be collected at a high frequency. Given the unexpected nature of the shock and urgency with which a response was required, Indian policymakers needed to formulate policies affecting India's 1.4 billion people, without the detailed evidence required to construct effective programs. To help overcome this evidence gap, researchers from the World Bank, in collaboration with IDinsight, the Development Data Lab, and John Hopkins University sought to produce rigorous and responsive data for policymakers across six states in India: Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households

Scope

Notes
The COVID-19-Related Shocks Surveys in Rural India cover the following subjects; agriculture, income and consumption, migration, access to relief and health.
Topics
Topic Vocabulary
Agriculture & Rural Development FAO
Fragile & Conflict-affected States FAO
Migration & Remittances FAO
Health FAO
Aid effectiveness FAO
Access to Finance FAO

Coverage

Geographic Coverage
Regional coverage
Universe
Households located in Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh

Producers and sponsors

Primary investigators
Name
The World Bank
Funding Agency/Sponsor
Name Abbreviation Role
The World Bank WB Funded the survey

Sampling

Sampling Procedure
This dataset includes observations covering six states (Andhra Pradesh, Bihar, Jharkhand, Madhya Pradesh, Rajasthan, Uttar Pradesh) and three survey rounds. The survey did not have a single, unified frame from which to sample phone numbers. The final sample was assembled from several different sample frames, and the choice of frame sample frames varied across states and survey rounds.

These frames comprise four prior IDinsight projects and from an impact evaluation of the National Rural Livelihoods project conducted by the Ministry of Rural Development. Each of these surveys sought to represent distinct populations, and employed idiosyncratic sample designs and weighting schemes.

A detailed note covering key features of each sample frame is available for download.
Deviations from the Sample Design
Details will be made available after all rounds of data collection and analysis is complete.
Response Rate
Round 1: ~55%
Round 2: ~46%
Round 3: ~55%
Weighting
In order to create comparable state-level estimates from the successfully interviewed households - as well as to create correctly pooled estimates across the six states- weights were applied to the information provided by the sampled households.

The weights were calculated in several steps. Due to the variation in sampling frames and sampling procedures across states and across rounds, the precise weight procedures tend to be idiosyncratic to a given state/frame/round combination.

A detailed note on the weighting methodology adopted with a generalized set of steps and significant state/frame deviations from the process is available for download.

Data Collection

Dates of Data Collection
Start End Cycle
2020-05-05 2020-05-10 Round 1
2020-07-19 2020-07-23 Round 2
2020-09-20 2020-09-24 Round 3
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
Data was collected by IDinsight’s data on demand team using CATI.

Questionnaires

Questionnaires
The survey questionnaires covered the following subjects:

1. Agriculture: COVID-19-related changes in price realisation, acreage decisions, input expenditure, access to credit, access to fertilisers, etc.

2. Income and consumption: Changes in wage rates, employment duration, consumption expenditure, prices of essential commodities, status of food security etc.

3. Migration: Rates of in-migration, migrant income and employment status, return migration plans etc.

4. Access to relief: Access to in-kind, cash and workfare relief, quantities of relief received, and constraints on the access to relief.

5. Health: Access to health facilities and rates of foregone healthcare, knowledge of COVID-19 related symptoms and protective behaviours.

While a number of indicators were consistent across all three rounds, questions were added and removed as and when necessary to account for seasonal changes (i.e: in the agricultural cycle).

Data Processing

Data Editing
The India COVID-19 surveys were conducted using Computer Assisted Telephone Interview (CATI) techniques. The household questionnaire was implemented using the CATI software, SurveyCTO. The software was deployed through surveyors’ smartphones, who called respondents via mobile, and recorded their responses over the phone. If unreached, surveyors would attempt to call back respondents up to 7 times, often seeking explicit appointments for suitable times to avoid non-responses.

Validation and consistency checks were incorporated into the SurveyCTO software to avoid human error. Extreme values and outliers were scrutinised through a real time dashboard set up by IDinsight. Surveys were also audio audited by monitors to check for consistency and accuracy of question phrasing and answer recording. Finally, supervisors also randomly back-checked a subset of interviews to further ensure data accuracy.

IDinsight cleaned and labelled the data for further processing and analysis. The Development Data Lab examined the data for discrepancies and errors and merged the dataset with their proprietary spatial data.

All personally identifiable information has been removed from the datasets.

Access policy

Contacts
Name Affiliation Email URL
Gayatri Acharya The World Bank [email protected]
Alreena Renita Pinto The World Bank [email protected]
Microdata Library The World Bank Link
Confidentiality
See https://microdata.worldbank.org/index.php/terms-of-use
Access conditions
See https://microdata.worldbank.org/index.php/terms-of-use
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Disclaimer and copyrights

Disclaimer
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

Metadata production

DDI Document ID
DDI_IND_2020_CRSS_v01_EN_M_v01_A_OCS_FAO
Producers
Name Abbreviation Affiliation Role
Office of Chief Statistician OCS Food and Agriculture Organization Adoption of metadata for FAM
Development Economics Data Group DECDG The World Bank Documentation of the DDI
DDI Document version
IND_2020_CRSS_v01_EN_M_v01_A_OCS_v01
Back to Catalog
Food and Agriculture Organization of the United Nations

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