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COVID-19-Related Shocks in Rural India 2020, Rounds 1-3

India, 2020
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Reference ID
IND_2020_COVIDRS_v01_M
DOI
https://doi.org/10.48529/fn6q-4y08
Producer(s)
World Bank
Collection(s)
High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 15, 2021
Last modified
Jan 15, 2021
Page views
88228
Downloads
7581
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Citation

    • Identification

    Survey ID number

    IND_2020_COVIDRS_v01_M
    Title

    COVID-19-Related Shocks in Rural India 2020
    Subtitle

    Rounds 1-3
    Country/Economy
    Name Country code
    India IND
    Study type

    1-2-3 Survey, phase 3 [hh/123-3]
    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, 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 Date

    2021-01-12

    Scope

    Notes

    These surveys 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

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

    Producers and sponsors

    Primary investigators
    Name
    World Bank
    Producers
    Name
    World Bank

    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.
    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.

    Survey instrument

    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 collection

    Dates of Data Collection
    Start End Cycle
    2020/05/05 2020/05/10 1
    2020/07/19 2020/07/23 2
    2020/09/20 2020/09/24 3
    Data Collectors
    Name
    IDinsight, India
    Data Collection Notes

    Data was collected by IDinsight’s Data on Demand team using CATI.

    Data Access

    Access authority
    Name Affiliation URL
    Microdata Library World Bank microdata.worldbank.org
    Confidentiality
    Is signing of a confidentiality declaration required?
    yes
    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

    Example:

    The World Bank. Covid-19 Related Shocks in Rural India - Rounds 1-3 (COVIDRS) 2020. Ref. IND_2020_COVIDRS_v01_M. Dataset downloaded from [url] on [date].

    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-R3_v01_M_WB
    Producers
    Name Affiliation Role
    Development Data Group World Bank Documentation of the Study
    Date of Metadata Production

    2021-01-12

    Metadata version

    DDI Document version

    Version 01
    Version date

    2021-01-12

    Citation

    Citation
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