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Reproducibility package for First Impressions Matter: Measuring And Correcting Position Bias In Business Environment Estimates

2026
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Reference ID
RR_WLD_2026_774
Author(s)
Filip Jolevski, Gemechu A. Aga
Metadata
JSON
Created on
Oct 28, 2026
Last modified
Nov 04, 2026
Page views
17
Downloads
4
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Overview

    Abstract

    Estimating the constraints in the business environment guides development policy and allocation of resources. This paper examines response order bias in survey questions on the biggest obstacle to operations with a lengthy list of response options in the World Bank Enterprise Surveys. Using over 200,000 interviews with firm managers from 178 economies with randomized response orders, estimates show that the first three positions have a 9 percent higher relative likelihood of being selected, with the very first position on the showcard being 22 percent more likely to be selected. The primacy bias, tendency to select an early response option, is significantly stronger in low-income economies (17 percent, whereas in high-income economies the bias is statistically non-existent), creating a troubling paradox: position effects distort estimates most severely where accurate constraint measurement matters most for development policy. Applying empirical Bayes-stabilized inverse probability weights to correct for these biases changes the rank order for 9 percent of the obstacles, affecting about half of the surveys.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/684/download/2068/README.pdf
    Reproducibility package for First Impressions Matter: Measuring And Correcting Position Bias In Business Environment Estimates
    File name
    RR_WLD_2026_774
    Zip package
    RR_WLD_2026_774.zip
    Title
    Reproducibility package for First Impressions Matter: Measuring And Correcting Position Bias In Business Environment Estimates
    Date
    2026-10
    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
    19.0 MP

    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 (2.30 GHz) (2 processors)
    • Memory available: 16 GB

    Technology requirements

    Run time ~ 3 hours

    Reproduction instructions

    To reproduce the findings in this paper, a replicator must:

    1. Secure Access to Data: Access the datasets not included in the package. See the Datasets section for more details
    2. Open the master script replication_first_impressions_matter.do, update the directory on line 75, install the required packages and run the script.

    Since some of the data is excluded, the package includes the outputs produced by the replicators, which can be used to review the results presented in the paper

    Data

    Datasets
    World Bank Enterprise Surveys - Comprehensive Data and Country-Specific Files
    Name
    World Bank Enterprise Surveys - Comprehensive Data and Country-Specific Files
    Note
    Data accessed July 28, 2026. Includes the comprehensive WBES dataset and four country-specific survey files not included in the comprehensive file. (1) New_Comprehensive_July_28_2026.dta: comprehensive WBES dataset. Variables used: idstd, m1a (biggest obstacle), a16 (interviewer's view of truthfulness), wt (sampling weight). (2) Haiti-2019-full data.dta, Malaysia-2019-expansion.dta, Mozambique-2018-expansion.dta, Bosaso and Mogadishu-2019-full data.dta: individual country/survey files not included in the comprehensive dataset. Variables used: idstd, m1a, a16, wmedian (sampling weight). File location: !Data/_Raw Data/New_Comprehensive_July_28_2026.dta; !Data/_Raw Data/WBES_Haiti2019_Data/Haiti-2019-full data.dta; !Data/_Raw Data/WBES-OS_Malaysia2019_Data/Malaysia-2019-expansion.dta; !Data/_Raw Data/WBES-OS_Mozambique2018_Data/Mozambique-2018-expansion.dta; !Data/_Raw Data/WBES-OS_Somalia2019_Data/Bosaso and Mogadishu-2019-full data.dta. To access these go to the WBES website (https://www.enterprisesurveys.org/en/enterprisesurveys) and download them. You'll need to create an account to access them
    Access policy
    Data is publicly available but does not allow redistribution and is not included in the reproducibility package.
    License
    Custom License
    Data URL
    https://www.enterprisesurveys.org
    Citation
    World Bank. 2026. "World Bank Enterprise Surveys" [dataset]. https://www.enterprisesurveys.org. Accessed July 28, 2026.
    World Bank Enterprise Surveys - Showcard Positions
    Name
    World Bank Enterprise Surveys - Showcard Positions
    Note
    File: `1_position data.dta` is constructed using the metadata which is not publically available, but can be requested from The World Bank Enterprise Surveys team (enterprisesurveys@worldbank.org). Permissions were obtained to make this dataset public. Variables used: idstd, survey, country_official, WBCode, region, year, method, m1a_ord, the 15 position variables (code_ord), m1d, a12, duration. File location: !Data/_Raw Data/1_position data.dta.
    Access policy
    Data is publicly available but does not allow redistribution and is not included in the reproducibility package.
    License
    Custom License
    Citation
    Authors' compilation. 2026. "World Bank Enterprise Surveys - Showcard Positions" [dataset]. Constructed from World Bank Enterprise Surveys metadata. Accessed July 2026
    World Bank Country and Lending Groups - Income Classifications
    Name
    World Bank Country and Lending Groups - Income Classifications
    Note
    Data accessed July 15, 2026. World Bank country and lending group income classifications. Sheet used: Country Analytical History from OGHIST_2026_07_15.xlsx. File location: !Data/_Raw Data/OGHIST_2026_07_15.xlsx.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Open data
    Data URL
    https://ddh-openapi.worldbank.org/resources/DR0095334/download
    Citation
    World Bank. 2026. "World Bank Data Help Desk: World Bank Country and Lending Groups" [dataset]. https://ddh-openapi.worldbank.org/resources/DR0095334/download. Accessed July 15, 2026.
    World Development Indicators - GDP per Capita, PPP (Current International $)
    Name
    World Development Indicators - GDP per Capita, PPP (Current International $)
    Note
    Data accessed October 1, 2026. Indicator NY.GDP.PCAP.PP.CD, downloaded by the code using wbopendata. Note: the code downloads the current WDI vintage each time it runs, so a later run may use revised figures. Three missing values are filled from the IMF World Economic Outlook (Taiwan, China; South Sudan 2024; Afghanistan 2025); the values and URLs are provided in the code.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International License (CC BY 4.0)
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD
    Citation
    World Bank. 2026. "World Development Indicators" [dataset]. Indicator NY.GDP.PCAP.PP.CD. https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD. Accessed October 1, 2026.
    Data statement

    The reproducibility package relies on 2 type of data: Accessible and Open data. For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.

    Description

    Output
    First Impressions Matter: Measuring And Correcting Position Bias In Business Environment Estimates
    Type
    Working Paper
    Title
    First Impressions Matter: Measuring And Correcting Position Bias In Business Environment Estimates
    Description
    Policy Research Working Paper (PRWP)
    Authors
    Author Affiliation Email
    Filip Jolevski World Bank fjolevski@worldbank.org
    Gemechu A. Aga World Bank gayanaaga@worldbank.org
    Date of production

    2026-10-23

    Scope and coverage

    Geographic locations
    Location Code
    World WLD
    Keywords
    Response Order Effects Business Environment Primacy Effects Bias Correction
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    C14 Semiparametric and Nonparametric Methods: General C1 Journal of Economic Literature (JEL)
    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
    MIT License https://opensource.org/license/mit
    World Bank IGO Rider https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md

    Contacts

    Contacts
    Name Affiliation Email
    Filip Jolevski World Bank fjolevski@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

    2026-10-23

    Document version

    1

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