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Reproducibility package for The Worldwide Bureaucracy Indicators (WWBI) – Version 3.0 – Subsample for Brazil - 2015 and Wage Bill Indicators

2022
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Reference ID
FR_WLD_2023_44
DOI
https://doi.org/10.60572/p87m-6d04
Author(s)
Faisal Baig, Zahid Hasnain, Daniel Rogger, Turkan Mukhtarova, Flavia Giannina Sacco Capurro
Collections
Flagships and Reports
Metadata
JSON
Created on
Aug 27, 2024
Last modified
Aug 27, 2024
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.
    The WWBI includes 192 indicators that are estimated from microdata drawn from the labor force and household welfare surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill. The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/179/download/501/README.pdf
    Reproducibility package (code and data) for The Worldwide Bureaucracy Indicators (WWBI) – Version 3.0 – Subsample for Brazil - 2015 and Wage Bill Indicators
    Title
    Reproducibility package (code and data) for The Worldwide Bureaucracy Indicators (WWBI) – Version 3.0 – Subsample for Brazil - 2015 and Wage Bill Indicators
    Dependencies
    All Stata dependencies are included in the folder "do-files/ado".
    Instructions
    See README in the 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
    18.0 MP

    Reproducibility

    Technology environment

    Results were reproduced on a computer with the following specifications:
    • OS: Windows 10 Enterprise
    • Processor: Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz 2.60 GHz (2 processors)
    • Memory available: 128 GB
    • Software version: Stata 18 MP

    Technology requirements

    Runtime: 1.5 hours

    Reproduction instructions

    Update the global path in line 19 of "do-files/0_master.do" and run the do-file.

    Data

    Datasets
    Brazil Household and Labor Force Survey Data, Harmonized by the World Bank International Income Distribution Database
    Name
    Brazil Household and Labor Force Survey Data, Harmonized by the World Bank International Income Distribution Database
    Note
    Data was accessed in March 2022. Data files: "ALL IN ONE_7_BRA.dta", "ALL IN ONE_7_BRA_s2000.dta", "LAC_BRAZIL.dta".
    Access policy
    Data is included in the reproducibility package
    Wage Compression Ratios in Public Sector from the International Comparison Program (ICP) 2017 Cycle Data for Researchers
    Name
    Wage Compression Ratios in Public Sector from the International Comparison Program (ICP) 2017 Cycle Data for Researchers
    Note
    Data was accessed in June 2022. Data file: "ICP_data.dta".
    Access policy
    Data is included in the reproducibility package
    Public Sector Wage Bill from the IMF Government Compensation and Employment Dataset
    Name
    Public Sector Wage Bill from the IMF Government Compensation and Employment Dataset
    Note
    Data was accessed in February 2021. Data file: "wage_bill (2000-2020).dta".
    Access policy
    Data is included in the reproducibility package
    Data statement

    Data is included in the reproducibility package.

    Description

    Output
    Worldwide Bureaucracy Indicators (WWBI) – Version 3.0
    Type
    Dataset
    Title
    Worldwide Bureaucracy Indicators (WWBI) – Version 3.0
    Authors
    Faisal Baig, Zahid Hasnain, Dan Rogger, Turkan Mukhtarova
    URL
    https://datacatalog.worldbank.org/int/search/dataset/0038132/Worldwide%20Bureaucracy%20Indicators?version=3
    Authors
    Author Affiliation Email
    Faisal Baig World Bank mbaig5@worldbank.org
    Zahid Hasnain World Bank zhasnain@worldbank.org
    Daniel Rogger World Bank drogger@worldbank.org
    Turkan Mukhtarova World Bank tmukhtarova@worldbank.org
    Flavia Giannina Sacco Capurro World Bank fsaccocapurro@worldbank.org
    Date of production

    2022-01

    Scope and coverage

    Geographic locations
    Location Code
    World WLD

    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
    Flavia Giannina Sacco Capurro World Bank fsaccocapurro@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

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

    2024-08-26

    Document version

    1

    Citation

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