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PRWP

Reproducibility package for Productivity Gap Between Women- And Men-Run Private Hotels In Georgia: A Dea Based Meta Frontier Analysis

2025
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Reference ID
RR_GEO_2025_507
Author(s)
Mohammad Amin, Nesma Ali
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Jan 08, 2026
Last modified
Jan 08, 2026
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Overview

    Abstract

    The paper makes an initial attempt to account for differences in the technologies used by women- and men-run businesses, that is, technological “heterogeneity”, to better understand productivity differences between the two groups. We do so by applying meta frontier analysis to the efficiency of private hotels in Georgia estimated using data envelopment analysis (DEA) methodology. The exercise allows us to distinguish between productivity differences conditional on the available technology to each group (technical efficiency) and due to differences in the available technology (technology gap). We show that gender-based differences in technical efficiency and technology gap are very different in their direction, size, and distribution across low vs. high levels of efficiency. For example, women-run hotels outperform men-run hotels in technical efficiency by 21 percentage points. However, this superior performance is almost fully countered by the inferior technology used by women due to the prevailing socio-cultural and economic environment. We also uncover that the impact of technology gap in widening the productivity gap is much stronger at low levels of efficiency than at higher levels (the “sticky floors” effect). No such evidence is found for technical efficiency or overall efficiency. Thus, the existing literature, which assumes technological “homogeneity”, provides at best an incomplete picture of the true nature of gender-based productivity gaps and at worst, a misleading one. Our main result survives endogeneity checks based on propensity score matching and is robust to several measures of productivity and outlier checks. Policy implications of the findings are discussed.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/436/download/1240/README.pdf
    Reproducibility package for Productivity Gap Between Women- And Men-Run Private Hotels In Georgia: A Dea Based Meta Frontier Analysis
    File name
    RR_GEO_2025_507
    Zip package
    RR_GEO_2025_507.zip
    Title
    Reproducibility package for Productivity Gap Between Women- And Men-Run Private Hotels In Georgia: A Dea Based Meta Frontier Analysis
    Date
    2025-12
    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 MP

    Reproducibility

    Technology environment

    Paper exhibits were reproduced in one computer with the following specifications:
    OS: Windows 11 Enterprise
    Processor: Intel(R) Xeon(R) Gold 5218 CPU @2.30GHz
    Memory available: 6 GB

    Technology requirements

    1.5 hours total run time. (Generating Table A7 alone takes ~1 hour and 15 minutes.)

    Reproduction instructions

    To reproduce the findings in this study, please follow the steps below:

    1. Obtain the raw data and place it in the "Hotels" folder.
    2. Change the paths as indicated on README.
    3. Run Eff_4-17-2025.do and Results_replication.do sequentially.

    Data

    Datasets
    World Bank Enterprise Surveys (WBES)
    Name
    World Bank Enterprise Surveys (WBES)
    Note
    Access date: April 2025. Data access instructions: Access the Enterprise Surveys website and select Download Datasets. Log in using your credentials or the WB Staff Login if applicable. Users without access should register on the website or contact rgachina@worldbank.org for assistance. After logging in, select Enterprise Surveys under Survey Type, then choose the relevant country under Economy. Download the full dataset for Georgia (`Georgia-2023-full-data.dta`) and save it to the designated project folder using the same file name. Repeat the same steps to download the Botswana (`Botswana-2023-full-data.dta`) dataset and save it in the same folder. Data files: Georgia-2023-full-data.dta and Botswana-2023-full-data.dta.
    Access policy
    Data is publicly available but does not allow redistribution and it is not included in the reproducibility package.
    Data URL
    https://www.enterprisesurveys.org/en/enterprisesurveys
    Citation
    World Bank. (2023). "World Bank Enterprise Surveys" [Dataset]. World Bank. Available at www.enterprisesurveys.org.
    World Bank Enterprise Surveys (WBES) - April 2025 release
    Name
    World Bank Enterprise Surveys (WBES) - April 2025 release
    Note
    Access date: April 2025. Data is accessible upon request from Enterprise Surveys team by email. For detailed information, please refer to the README file. Data file: ES-Indicators-Database-Global-Methodology_April_14_2025.dta.
    Access policy
    Data access requires human approval and is not included in the reproducibility package.
    Data URL
    https://www.enterprisesurveys.org/en/enterprisesurveys
    Citation
    World Bank. (n.d.). "World Bank Enterprise Surveys" [Dataset]. Unpublished data.
    Data statement

    All datasets are limited-access and not included in the reproducibility package.

    Description

    Output
    Productivity Gap Between Women- And Men-Run Private Hotels In Georgia: A Dea Based Meta Frontier Analysis
    Type
    Working Paper
    Title
    Productivity Gap Between Women- And Men-Run Private Hotels In Georgia: A Dea Based Meta Frontier Analysis
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Mohammad Amin World Bank mamin@worldbank.org
    Nesma Ali World Bank nali4@worldbank.org
    Date of production

    2025-12-18

    Scope and coverage

    Geographic locations
    Location Code
    Georgia GEO
    Keywords
    Meta Frontier Analysis Gender Productivity Gaps Data Envelopment Analysis Hotels
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    C13 Estimation: General C1 Journal of Economic Literature (JEL)
    C14 Semiparametric and Nonparametric Methods: General C1 Journal of Economic Literature (JEL)
    D24 Production • Cost • Capital • Capital, Total Factor, and Multifactor Productivity • Capacity D2 Journal of Economic Literature (JEL)
    J16 Economics of Gender • Non-labor Discrimination J1 Journal of Economic Literature (JEL)
    L83 Sports • Gambling • Restaurants • Recreation • Tourism L8 Journal of Economic Literature (JEL)
    L89 Other L8 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
    Mohammad Amin World Bank mamin@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

    2025-12-18

    Document version

    1

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