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COVID-19-Related Shocks in Rural India 2020, Round 2

India, 2020
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Reference ID
IND_2020_COVIDRS-R2_v01_M
DOI
https://doi.org/10.48529/cmy5-8919
Producer(s)
World Bank
Collection(s)
High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 18, 2020
Last modified
Jan 14, 2021
Page views
85636
Downloads
2734
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Access policy
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Citation

    • Identification

    Survey ID number
    IND_2020_COVIDRS-R2_v01_M
    Title
    COVID-19-Related Shocks in Rural India 2020
    Subtitle
    Round 2
    Country/Economy
    Name Country code
    India IND
    Study type
    Other Household Survey [hh/oth]
    Series Information
    This is the secound round COVID-19-Related Shocks in Rural India 2020. There will be three rounds in total conducted.

    The following are links to the first round of the study:
    - Internal catalog (https://microdatalib.worldbank.org/index.php/catalog/11661)
    - External/Public catalog (https://microdata.worldbank.org/index.php/catalog/3769)
    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, the World Bank, IDinsight, and the Development Data Lab 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
    Household

    Version

    Version Description
    Datasets are from surveys (on-going) by the AGF India team on COVID-19 socio-economic impacts in rural India. The current version includes data from the second round (of three) of state-representative surveys across six Indian states, and they cover indicators related to agriculture, migration, rural labour markets, consumption patterns, access to relief and healthcare.

    Scope

    Notes

    The COVID-19-Related Shocks Surveys in Rural India cover 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.

    Coverage

    Geographic Coverage

    Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh

    Producers and sponsors

    Primary investigators
    Name
    World Bank

    Sampling

    Sampling Procedure

    The samples for these surveys were drawn from surveys and impact evaluations previously conducted by the World Bank, the Ministry of Rural Development, India and IDInsight. A detailed note on the sampling frames 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

    ~46%. The response rate does not include attempts made to invalid numbers. There were 972 such numbers in the sample. The response rate includes the 443 partially completed surveys.

    Weighting

    Details will be made available after all rounds of data collection and analysis is complete.

    Survey instrument

    Questionnaires

    The survey questionnaire consists of the following modules:

    • Module 0: Introduction
    • Module 1: Agriculture
    • Module 2: Migration
    • Module 3: Consumption
    • Module 4: Labour and Income
    • Module 5: Access to Relief
    • Module 6: Health

    Data collection

    Dates of Data Collection
    Start End Cycle
    2020-07-19 2020-07-23 Round 2
    Data Collection Notes

    Data were collected using telephonic surveys (CATI). Sampling frames have been drawn from previous surveys and have been documented in the "r2_sampling_frame_description.pdf". A final note on data collection will be developed and made available after all 3 rounds of data collection have been completed.

    Access policy

    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

    The World Bank. Covid-19 Related Shocks in Rural India - Round 2 (COVIDRS-R2) 2020. Ref. IND_2020_COVIDRS-R2_v01_M. Dataset downloaded from [url] on [date].

    Location of Data Collection
    First round (External)

    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.

    Contacts

    Contacts
    Name Affiliation Email
    Alreena Renita Pinto World Bank apinto2@worldbank.org
    Gayatri Acharya World Bank gacharya@worldbank.org

    Metadata production

    DDI Document ID
    DDI_IND_2020_COVIDRS-R2_v02_M_WB
    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank

    Documentation of the DDI
    Date of Metadata Production
    2020-09-15

    Metadata version

    DDI Document version
    Version 02 (January 2021)
    Identical to v01 with updates to Abstract and Data Processing sections.

    Citation

    Citation
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