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PRWP

Reproducibility package for Government Support and Firm Performance during COVID-19

2023
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Reference ID
RR_ECA_2023_PRWP_42-v01
DOI
https://doi.org/10.60572/29ke-2k09
Author(s)
Miriam Bruhn, Asli Demirguc-Kunt, Dorothe Singer
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Nov 28, 2023
Last modified
Mar 19, 2024
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    This paper assesses the medium-run effects of government support to firms during the COVID-19 crisis and whether the effectiveness of this support varied with its timing. Using data from three rounds of the World Bank’s Enterprise Surveys COVID-19 Follow-up Surveys carried out between May 2020 and April 2022, it relates government support in Round 1 (received in the first half of 2020) and 2 (received during the second half of 2020 or early 2021) with firm performance in Round 3 (generally mid-2021). Controlling for a host of background characteristics, firms that received support in Round 1 performed better in terms of Round 3 sales, but only if they did not have continued support. Firms that also received support in Round 2 had similar Round 3 sales to those who received no support and were more likely to decrease employment. Firms that received government support only in Round 2 experienced no boost in Round 3 performance. The findings suggest that government support should be provided promptly, but it should also be phased out quickly.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/83/download/209/README.pdf
    Reproducibility package for Government Support and Firm Performance during COVID-19
    Title
    Reproducibility package for Government Support and Firm Performance during COVID-19
    Date
    2023-11
    Software
    Stata
    Dependencies
    estout, xmltab, asdoc
    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
    17.0

    Reproducibility

    Technology environment

    Paper exhibits were reproduced in two computers with the following specifications:
    Computer 1:
    – OS: Windows 10 Enterprise, version 21H2
    – Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.9GHz
    – Memory available: 128 GB
    – Software version: Stata 18.0 MP
    Computer 2:
    – OS: Windows 10 Enterprise, version 21H2
    – Processor: Intel(R) Xeon(R) CPU @ 2.9GHz
    – Memory available: 16 GB
    – Software version: Stata 17.0 MP

    Technology requirements

    Runtime: 5 minutes

    Reproduction instructions

    Follow instructions in the README to reproduce the results.

    Data

    Datasets
    World Bank Enterprise Surveys (ES)
    Name
    World Bank Enterprise Surveys (ES)
    Note
    - COVID19 Follow-up ES (Indicators), May 9, 2022 (COVID-ES-Follow-up-Indicators-Database_May_09_2022.dta) - ES TFP Estimates and Factor Ratios, July 18, 2022 (Firm Level TFP Estimates and Factor Ratios_July_18_2022.dta) - ES Comprehensive, July 18, 2022 (New_Comprehensive_July_18_2022.dta)
    Data URL
    https://www.enterprisesurveys.org/
    Bertelsmann Stiftung Transformation Index (BTI)
    Name
    Bertelsmann Stiftung Transformation Index (BTI)
    Note
    Data was acquired on May 2021. Corresponding file: bti_2020.dta
    Data URL
    https://bti-project.org/en/downloads
    Europe and Central Asia income classification data
    Name
    Europe and Central Asia income classification data
    Note
    Data was acquired on May 2021. Corresponding file: Subregion_ECA.dta
    Data URL
    https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups
    Data statement

    All data is public and included in the reproducibility package.

    Description

    Output
    Government Support and Firm Performance during COVID-19
    Type
    Working paper
    Title
    Government Support and Firm Performance during COVID-19
    Authors
    Miriam Bruhn, Asli Demirguc-Kunt, Dorothe Singer
    Description
    Policy Research Working Paper (PRWP) 10641
    URL
    https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099404412122317205/idu0d4cdf5830014b043cf0801e03451560fd5f5
    DOI
    https://doi.org/10.1596/1813-9450-10641
    Authors
    Author Affiliation Email
    Miriam Bruhn World Bank mbruhn@worldbank.org
    Asli Demirguc-Kunt Center for Global Development ademirguckunt@gmail.com
    Dorothe Singer World Bank dsinger@worldbank.org
    Date of production

    2023-11

    Scope and coverage

    Geographic locations
    Location Code
    Eastern and Central Asia ECA
    Keywords
    Government support COVID-19 Productivity Firms Europe and Central Asia (ECA)
    Topics
    ID Topic Vocabulary Vocabulary URI
    D22 Firm Behavior: Empirical Analysis JEL Classification
    D24 Production • Cost • Capital • Capital, Total Factor, and Multifactor Productivity • Capacity JEL Classification
    H81 Governmental Loans • Loan Guarantees • Credits • Grants • Bailouts JEL Classification
    O47 Empirical Studies of Economic Growth • Aggregate Productivity • Cross-Country Output Convergence JEL Classification

    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
    Miriam Bruhn World Bank mbruhn@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    San Martin LESM World Bank Junior data scientist
    Date of Production

    2023-11-28

    Document version

    1

    Citation

    Citation
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