Current investment trends in emerging market and developing economies are not enough to meet the needs of their growing populations and will fall short of achieving the Sustainable Development Goals related to human and physical capital development. Public investment can play a critical role in addressing this shortfall, especially if it can crowd-in private investment. Using a tractable model and panel data for 109 developing countries from 1980–2019, this paper investigates whether public investment crowds in or crowds out private investment. The paper also explores how the relationship changes across different groups of countries and under different institutional settings. The analysis uses changes in predicted disbursements on loans from official creditors to developing country governments as an instrument for changes in public investment. The findings show that public investment is a complement to private investment, raising the marginal productivity of the latter. As a result, an extra dollar of public investment raises private investment by 1.6 dollars. The findings also reveal stronger evidence of crowding-in of private investment in low-income countries and Sub-Saharan Africa, where investment needs are greatest. Finally, the findings are embedded in a model with imperfect capital markets, which shows that public investment can be used as an effective vehicle to address underinvestment issues induced by capital market distortions.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 10 Enterprise, version 22H2
• Processor: Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz 2.60 GHz (2 processors)
• Memory available: 128 GB
• Software version: Stata 18 MP
Runtime: 15 minutes
This package begins with intermediate data (Aggregated_DRS.dta) due to the restricted nature of the raw loan-level data. The raw data and the code to generate the intermediate data were not shared with the reproducibility team. Instead, verification was conducted virtually, with authors running the code to produce the intermediate data.
To run the package from this intermediate data replicators should follow these steps.
Limitations: All exhibits can be replicated except for Figure 2 and Table B1, which require restricted raw data and were verified virtually.
As the data is embargoed at the moment, we include the outputs of the verification in this package for reviewers to compare against the paper.
Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
Author | Affiliation | |
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John Nana Francois | World Bank | jfrancois1@worldbank.org |
Maty Konte | International Finance Corporation (IFC) | mkonte@ifc.org |
Franz U Ruch | World Bank | fruch@worldbank.org |
2024-12
Location | Code |
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World | WLD |
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.
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Franz U Ruch | World Bank | fruch@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-12-12
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