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PRWP

Reproducibility package for The Effect Of Survey Mode On Data Quality: Experimental Evidence From Nigeria

2025
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Reference ID
RR_NGA_2025_486
Author(s)
Philip Wollburg, Pauline Castaing, Ivette Contreras, Yannick Markhof, Akiko Sagesaka, Amparo Palacios-Lopez
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Dec 01, 2025
Last modified
Dec 08, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Overview

    Abstract

    In a large-scale experiment in rural Nigeria, we study the role of survey mode — in-person vs. over the phone — for survey measurement and data quality. Our experimental design isolates mode effects from other common sources of errors in surveys and covers twenty outcome measures across topics such as health, labor, shocks, wellbeing, and food security. We consistently find mode effects across outcomes, with phone responses differing from in-person responses by up to 63%, and a median difference of 17–18%. We document that these effects are large relative to other errors in phone surveys such as undercoverage of households without phones. Using a within-respondent design, we measure the full, respondent-level distribution of mode effects and find them to vary much more than averages let on. Respondents with higher education levels are less prone to mode effects whereas mode effects sharply increase in prevalence as respondents face more answer options. We present evidence that mode effects are driven by lower cognitive engagement of respondents over the phone. Given the growing reliance on phone surveys in LMICs, our findings provide novel guidance for survey design and advance the research frontier on how survey mode influences measurement.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/411/download/1173/README.pdf
    Reproducibility package for The Effect Of Survey Mode On Data Quality: Experimental Evidence From Nigeria
    File name
    RR_NGA_2025_486
    Zip package
    RR_NGA_2025_486.zip
    Title
    Reproducibility package for The Effect Of Survey Mode On Data Quality: Experimental Evidence From Nigeria
    Date
    2025-11
    Dependencies
    Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18.5
    Excel
    Name
    Excel

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: Intel(R) Xeon(R) Gold 5218 CPU @2.30GHz
    • Memory available: 6 GB
    • Software version: Stata 18.5 MP

    Technology requirements

    The code takes approximately 5 minutes to run.

    Reproduction instructions

    To run the package:

    1. Acquire the Data. Please refer to the Datasets subsection of this documentation and the README file for detailed information on how to access each dataset.
    2. Open the Main Do-File. Open the file MasterDofile_ModeEffectsNigeria.do, update the global directory path, and set your user number as indicated in the script.
    3. Run the Code. Execute the do-file from start to finish. This will run all components of the analysis and generate the outputs.

    Data

    Datasets
    General Household Survey, Panel 2023-2024 – Mixed-Mode Study
    Name
    General Household Survey, Panel 2023-2024 – Mixed-Mode Study
    Note
    Files location: Data/Raw/Mix mode study. Dataset names: MM5, MM4, MM3, MM2, MM1, mm5_interviewers. mm5_interviwers.dta won't be published due to sensitive information. Datasets are not included in the reproducibility package. Because `mm5_interviewers.dta` is restricted, replicators will not be able to generate interviewer characteristics. For example, this will block execution of the code in `Part1_MasterDataCleaning.do` starting at line 223.
    Access policy
    Data is forthcoming in the World Bank Microdata Library.
    Data URL
    https://microdata.worldbank.org/
    Citation
    National Bureau of Statistics (NBS). (2024). "General Household Survey, Panel 2023-2024 – Mixed-Mode Study" [dataset]. World Bank, Development Data Group. Forthcoming on DDH.
    Nigeria's General Household Survey Panel Wave 5 (GHS-Panel Wave 5)
    Name
    Nigeria's General Household Survey Panel Wave 5 (GHS-Panel Wave 5)
    Note
    Access date: December 2024. Files location: Data/Raw/GHS-Panel W5/Post Planting Visit and Data/Raw/GHS-Panel W5/Post Harvest Visit. Aggregated consumption expenditure data (Data/Raw/GHS-Panel W5/totcons.dta) and on languages used for the interview (Data/Raw/GHS-Panel W5/secta_harvestw5 lang data.dta) will be forthcoming in the coming months in the microdata library and are not included in the reproducibility package. The data from the enumerators’ questionnaire (Data/Raw/GHS-Panel W5/GHS-Panel interviewers surveys) will not be released due to sensitivity concerns and is not included in the reproducibility package. Because GHS-Panel interviewers survey data is restricted, replicators will not be able to generate interviewer characteristics. For example, this will block execution of the code in `Part1_MasterDataCleaning.do` starting at line 680.
    Access policy
    Publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0
    License URL
    http://creativecommons.org/licenses/by/4.0/
    Data URL
    https://microdata.worldbank.org/index.php/catalog/6410/study-description
    Citation
    National Bureau of Statistics (NBS). (2024). "General Household Survey, Panel 2023-2024" [dataset]. World Bank, Development Data Group. https://doi.org/10.48529/ZD5S-TJ25
    Living Standards Measurement Study - High Frequency Phone Surveys (LSMS-HFPS) Harmonized Dataset
    Name
    Living Standards Measurement Study - High Frequency Phone Surveys (LSMS-HFPS) Harmonized Dataset
    Note
    Access date: December 2024. Files location: Data/Raw/HFPS.
    Access policy
    Publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0
    License URL
    http://creativecommons.org/licenses/by/4.0/
    Data URL
    https://github.com/lsms-worldbank/HFPS_harmonization_working/blob/main/Final%20datasets/HH_%204%20Dec%202024.zip
    Citation
    World Bank LSMS / HFPS Harmonization Working Group. (2024). "HH_ 4 Dec 2024" [dataset]. LSMS-World Bank GitHub repository.
    Data statement

    Data is forthcoming in the World Bank Microdata Library, and is not included in the reproducibility package. Some data is restricted and not included in the reproducibility package. For more details, please refer to the individual data entries and the README file.

    Description

    Output
    The Effect Of Survey Mode On Data Quality: Experimental Evidence From Nigeria
    Type
    Working Paper
    Title
    The Effect Of Survey Mode On Data Quality: Experimental Evidence From Nigeria
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Philip Wollburg World Bank pwollburg@worldbank.org
    Pauline Castaing World Bank pcastaing@worldbank.org
    Ivette Contreras World Bank icontreras@worldbank.org
    Yannick Markhof ETH Zürich, World Bank ymarkhof@ethz.ch
    Akiko Sagesaka World Bank asagesaka@worldbank.org
    Amparo Palacios-Lopez World Bank apalacioslopez@worldbank.org
    Date of production

    2025-11-20

    Scope and coverage

    Geographic locations
    Location Code
    Nigeria NGA
    Keywords
    Data Quality Survey Data Phone Survey Measurement Survey Mode
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    C81 Methodology for Collecting, Estimating, and Organizing Microeconomic Data • Data Access C8 Journal of Economic Literature (JEL)
    C83 Survey Methods • Sampling Methods C8 Journal of Economic Literature (JEL)
    O12 Microeconomic Analyses of Economic Development O1 Journal of Economic Literature (JEL)

    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
    Philip Wollburg The World Bank pwollburg@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2025-11-20

    Document version

    1

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