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.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
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
Runtime: 5 minutes
Follow instructions in the README to reproduce the results.
All data is public and included in the reproducibility package.
Author | Affiliation | |
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Miriam Bruhn | World Bank | mbruhn@worldbank.org |
Asli Demirguc-Kunt | Center for Global Development | ademirguckunt@gmail.com |
Dorothe Singer | World Bank | dsinger@worldbank.org |
2023-11
Location | Code |
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Eastern and Central Asia | ECA |
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.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Miriam Bruhn | World Bank | mbruhn@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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San Martin | LESM | World Bank | Junior data scientist |
2023-11-28
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