This paper studies the impact of rising heat on labor markets across Europe by combining geocoded district-level, establishment-level and wet-bulb temperature (WBT) data. At the district level, we construct a panel covering 1,525 NUTS-3 districts across 32 countries from 1980–2023, disaggregated by ten economic sectors to estimate dynamic labor market responses to WBT increases. We complement the analysis using representative, geocoded surveys covering over 46,000 establishments. We find that a one standard deviation increase in yearly WBT (0.7°C) reduces employment growth by 0.3 percent two years later. In a long-term perspective, our results indicate that the increase in WBT temperature since 1980 may have reduced employment in Europe by around 1.1 million jobs, equivalent to more than half of a normal year of employment growth. The effect is stronger in heat-exposed, low-wage, and labor-intensive sectors, as well as in small and young establishments. It also leads to persistent declines in hours worked and gross value-added levels. In contrast to the negative employment impact, real average wage growth rises after temperature increases because low-skill workers and low-wage establishments bear the brunt of the employment impact within sectors. As a result, the composition of employment shifts towards higher-paid jobs. The impact of rising WBT is in part explained by limited adaptation: fewer than one-third of small and about half of large establishments in Europe invest in cooling technology, with establishments paying lower wages and facing less favorable local business environments being less likely to adapt
| 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: 30 minutes approximately.
The replication package starts from intermediate datasets, which are included in the package. The code used to construct these datasets from the raw data is not included; however, the data construction process is described in the README, and some of the raw datasets are included.
To reproduce the findings, a new user needs to:
wbes/replication_wbes.do do-file and run the code.ardeco/replication_ardeco.do do-file and run the code.Some data is limited-access and has not been included in the reproducibility package. For more details, refer to the README file.
| Author | Affiliation | |
|---|---|---|
| Thomas Farole | World Bank | tfarole@ifc.org |
| Luca Bettarelli | University of Palermo | luca.bettarelli@unipa.it |
| Michael Ganslmeier | University of Exeter | m.ganslmeier@exeter.ac.uk |
| Indhira Vanessa Santos | World Bank | isantos@worldbank.org |
| Marc Schiffbauer | World Bank | mchiffbauer@worldbank.org |
2026-03-03
| Location | Code |
|---|---|
| Europe | EUR |
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 |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Thomas Farole | World Bank | tfarole@ifc.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 |
2026-03-03
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