This paper investigates the impact of informal competition - defined as competition faced by formal firms from informal enterprises - on the firm-provided worker training among formal manufacturing SMEs. Using a representative dataset of small and medium manufacturing firms in 23 Sub-Saharan African countries, a sizeable negative impact is found. A one-standard-deviation increase in informal competition reduces the probability that a firm offers training to its workers by 8.7 to 12.3 percentage points, relative to a sample mean of firms that offer training of approximately 25 percent. Comparable declines are observed in the share of workers receiving training. To address potential endogeneity, the paper employs several complementary strategies. First, an instrumental-variables strategy leverages variation in the number of children aged 0–4 and 5–9 years per working-age woman to generate exogenous shifts in informal competition. Second, heterogeneity is examined through tests derived from the “legalist” view of informality, which predicts bigger adverse effects of informal competition in environments characterized by a weaker rule of law and more stringent business regulations. Third, information about firms in other world regions is used to construct out-of-sample predictions of informal competition at the sector level. The findings suggest that informal competition is a substantial constraint on the training investments of formal firms, underscoring the need for policy responses that mitigate its adverse consequences.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz
• Memory available: 32.0 GB
Runtime: ~20 minutes.
To reproduce the findings in this paper, a replicator must:
00_master, and run it.DGE_p_Data-construction.do, and run it.Basic_Data-construction.do, and run it.P96_Data-Preparation_5-5-2026.do, and run it.Training.RprojR-Script_Placebo-Test1.R and run the code.P96_Inf-Training_5-5-2026_Replication.do, and run it.Since all the original data cannot be redistributed, the package includes the outputs produced by the authors, which can be used to review the results presented in 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 | |
|---|---|---|
| Mohammad Amin | World Bank | mamin@worldbank.org |
| Eugenia Rodríguez Cuniolo | World Bank | earodriguez@worldbank.org |
2026-06-10
| Location | Code |
|---|---|
| Africa | AFR |
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 |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Mohammad Amin | DECIG, World Bank | mamin@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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