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<p>This study estimates the causal impact of heat stress on subjective well-being in Tanzania by linking three waves of household panel data (2008-2013) with daily CHIRTS heat index measurements. Using a fixed effects ordered logit model, a one-degree Fahrenheit increase in the heat index results in a 0.236-point reduction in the probability of reporting higher life satisfaction, which is statistically significant at the 1% level. Effects are stronger among men and rural residents. We identify nonlinear threshold effects, with well-being losses intensifying above <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41885_2025_177_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="35" /> </InlineMediaObject> <EquationSource Format="TEX">\(85^{\circ }\text {F}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msup> <mn>85</mn> <mo>∘</mo> </msup> <mtext>F</mtext> </mrow> </math></EquationSource> </InlineEquation>. Results remain robust across alternative model specifications, heat metrics, and attrition adjustments. Findings highlight the urgent need for Africa-focused adaptation, including climate-resilient housing, occupational heat protections, and localized early warning systems.</p>

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Impact of Heat Stress on Subjective Well-being in Tanzania

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月30日

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  • Bernis Byamukama

摘要

This study estimates the causal impact of heat stress on subjective well-being in Tanzania by linking three waves of household panel data (2008-2013) with daily CHIRTS heat index measurements. Using a fixed effects ordered logit model, a one-degree Fahrenheit increase in the heat index results in a 0.236-point reduction in the probability of reporting higher life satisfaction, which is statistically significant at the 1% level. Effects are stronger among men and rural residents. We identify nonlinear threshold effects, with well-being losses intensifying above \(85^{\circ }\text {F}\) 85 ∘ F . Results remain robust across alternative model specifications, heat metrics, and attrition adjustments. Findings highlight the urgent need for Africa-focused adaptation, including climate-resilient housing, occupational heat protections, and localized early warning systems.