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PRWP

Reproducibility package for Rural Labor and Long Recall Loss

2023
Get Reproducibility Package
Reference ID
RR_MWI_2023_14-v01
DOI
https://doi.org/10.60572/exbc-ze45
Author(s)
Kate Ambler, Sylvan Herskowitz, Mywish K. Maredia
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Sep 21, 2023
Last modified
Mar 20, 2024
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    Surveys frequently rely on annual recall to capture individuals’ labor activities over the preceding year. In a panel of rural households in Malawi, we use a survey experiment to test the effect of a long, annual recall window on reported labor supply relative to a set of quarterly interviews. We document large losses in reported labor participation using the long recall window with reductions of over 20% of reported activities and months worked and a 2.5 times greater incidence of reported unemployment relative to the shorter window. These losses are greater for activities further in the past and especially for individuals whose labor supply is reported by other family members, reaching up to 50% for some outcomes. The profile of households’ primary respondents, predominantly male and older, and differential effects by age, further suggest that long recall may cause meaningful biases in resulting data for women and younger household members.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/62/download/133/README.pdf
    Reproducibility package (data and code) for Rural Labor and Long Recall Loss
    Title
    Reproducibility package (data and code) for Rural Labor and Long Recall Loss
    Date
    2023-09
    Methods
    Stata
    Dependencies
    All dependencies are stored in the do/ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    17

    Reproducibility

    Technology environment

    Paper exhibits were reproduced in one computer with the following specifications:
    • OS: Windows 10 Enterprise, version 21H2
    • Processor: 11th Gen Intel(R) Core(TM) i5-1145G7 @ 2.60GHz 1.50 GHz
    • Memory available: 15.7 GB
    • Software version: Stata 17.0

    Reproduction instructions

    A README file with detailed instructions is part of the reproducibility package.

    Data

    Datasets
    dta/merged_data_attrit.dta
    Name
    dta/merged_data_attrit.dta
    Access policy
    Published with package
    Data URL
    https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NQYOIX
    dta/merged_long_data.dta
    Name
    dta/merged_long_data.dta
    Access policy
    Published with package
    dta/merged_long_data_attrit.dta
    Name
    dta/merged_long_data_attrit.dta
    Access policy
    Published with package
    dta/merged_wide_data.dta
    Name
    dta/merged_wide_data.dta
    Access policy
    Published with package
    Data statement

    All data is public and contained in the reproducibility package. This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from those who reported cell phone numbers in a previous multi-topic, in-person survey in several regions of rural Malawi. The original data and its documentation are available here: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NQYOIX

    Description

    Output
    Rural Labor and Long Recall Loss
    Type
    Working Paper
    Title
    Rural Labor and Long Recall Loss
    Authors
    Kate Ambler, Sylvan Herskowitz, Mywish K. Maredia
    Description
    Policy Research Working Paper (PRWP) 10680
    URL
    https://elibrary.worldbank.org/doi/abs/10.1596/1813-9450-10680
    DOI
    https://doi.org/10.1596/1813-9450-10680
    Authors
    Author Affiliation Email
    Kate Ambler International Food Policy Research Institute k.ambler@cgiar.org
    Sylvan Herskowitz World Bank sherskowitz@worldbank.org
    Mywish K. Maredia Michigan State University maredia@msu.edu
    Date of production

    2023-12

    Scope and coverage

    Geographic locations
    Location Code
    Malawi MWI
    Keywords
    Labor Survey Methodology Measurement Bias Recall Windows Proxy Response
    Topics
    ID Topic Parent topic ID
    O1 Economic Development O
    J2 Demand and Supply of Labor J
    C8 Data Collection and Data Estimation Methodology • Computer Programs C
    Q1 Agriculture Q

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Sylvan Herskowitz World Bank sherskowitz@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reyes Retana MRR World Bank Junior Data Scientist
    Date of Production

    2023-12-18

    Document version

    2

    Citation

    Citation
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