Economic shocks such as commodity price volatility, climate disruptions, or large infrastructure investments reshape local labor markets. Understanding who is affected, where, and through which channels is essential for designing policies that promote shared prosperity and resilience. This report introduces the Shock Propagation Diagnostic (SPD), a reduced-form framework that combines shift-share (Bartik) exposure measures with input-output propagation to trace direct effects on exposed sectors and indirect spillovers through domestic production networks. The report showcases three country applications, Cambodia, Mongolia, and the Democratic Republic of Congo, each supported by a replication package. Cambodia and DRC illustrate ex-ante scenario simulation, while Mongolia is the report's Tier 1 causal ex-post application: as a price taker in international commodity markets, Mongolia faces plausibly external price shocks that are combined with predetermined regional employment shares and before-and-after labor-market data. Earlier Brazil and Viet Nam studies are used only to illustrate prior Tier 1 applications of the approach. Across the three featured cases, supply-chain spillovers are quantitatively important, adjustment often operates through wages, hours, and informality, and distributional outcomes depend critically on initial economic structure. SPD is designed as an early-entry diagnostic tool that complements more complex models through a transparent, data-efficient lens for rapid deployment.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
Run time: ~4 minutes
To reproduce the findings in this paper, a replicator must:
requirements.txtmain, and run it.Since not all the data is included, the package includes the results produced by replicators. These files 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 | |
|---|---|---|
| Juiong Wu | University of Ohio | jwuj0316@gmail.com |
| Gladys Lopez-Acevedo | World Bank | gacevedo@worldbank.org |
| Deeksha Kokas | NTU Singapore | deeksha002@e.ntu.edu.sg |
2026-09-18
| Location | Code |
|---|---|
| Cambodia | KHM |
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 | |
|---|---|---|
| Gladys Lopez-Acevedo | World Bank | gacevedo@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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