Violence against women – in particular, Intimate Partner Violence (IPV) – is a health concern for women across the world. We study the effect of cold exposure on IPV among Peruvian women. Using a dataset that matches women to weather exposure, we find that cold shocks increase IPV: 10 degree hours below -9 °C increases the probability of experiencing domestic violence by 0.5 percentage points. These effects are larger for more extreme temperature thresholds. We provide evidence that cold influences IPV through two main channels. First, extreme cold reduces income. Second, extreme cold limits time spent outside of the household, potentially increasing exposure of women to violent partners. To our knowledge, we are the first to measure relative significance of these two channels by using variation in cold timing to distinguish shocks that affect IPV through changes in income from those that act through time spent indoors. We find that the effect of cold on IPV is mostly driven by low temperatures that occur during the agricultural growing season, when income is most affected; 10 degree hours below -9 °C during the growing season increases the probability of experiencing IPV by 1.6 percentage points. In contrast, we find that cold exposure outside of the growing season has no statistically significant effect on IPV.
{"title":"Frosty climate, icy relationships: Cold and intimate partner violence in Peru","authors":"Katie Bollman , Judhajit Chakraborty , Leah K. Lakdawala , Eduardo Nakasone","doi":"10.1016/j.jdeveco.2025.103710","DOIUrl":"10.1016/j.jdeveco.2025.103710","url":null,"abstract":"<div><div>Violence against women – in particular, Intimate Partner Violence (IPV) – is a health concern for women across the world. We study the effect of cold exposure on IPV among Peruvian women. Using a dataset that matches women to weather exposure, we find that cold shocks increase IPV: 10 degree hours below -9 °C increases the probability of experiencing domestic violence by 0.5 percentage points. These effects are larger for more extreme temperature thresholds. We provide evidence that cold influences IPV through two main channels. First, extreme cold reduces income. Second, extreme cold limits time spent outside of the household, potentially increasing exposure of women to violent partners. To our knowledge, we are the first to measure relative significance of these two channels by using variation in cold timing to distinguish shocks that affect IPV through changes in income from those that act through time spent indoors. We find that the effect of cold on IPV is mostly driven by low temperatures that occur during the agricultural growing season, when income is most affected; 10 degree hours below -9 °C during the growing season increases the probability of experiencing IPV by 1.6 percentage points. In contrast, we find that cold exposure outside of the growing season has no statistically significant effect on IPV.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103710"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using a randomized controlled trial, this paper evaluates the impact of a gender norms intervention for young adolescents in Somalia. The program leads to greater support for gender equality in the privately reported attitudes of girls and boys; with further positive effects on mental health, aspirations, and boys’ engagement in housework. A novel lab-in-the-field experiment is used to observe social group dynamics among adolescent peers to examine the program’s impact on receptivity to social conformity. We adopt Asch-inspired conformity measures to demonstrate a treatment effect on conformity in gender beliefs (when stated publicly) versus conformity in a more general class of publicly stated beliefs as a placebo test. We find that private changes in gender beliefs lead to differences in an adolescent’s willingness to conform to group beliefs. Treated adolescents are less likely to succumb to peer pressure to conform when stating their gender attitudes in public, leading to greater public expression of egalitarian ideals. The effects on conformity are observed only for the gender norms domain. Our findings suggest that social norms interventions can be effective in positively shaping gender attitudes, helping to empower adolescents to withstand normative pressures.
{"title":"Resisting social conformity pressure: Impact of a gender norms intervention for adolescents in Somalia","authors":"Rajdev Brar , Niklas Buehren , Sreelakshmi Papineni , Munshi Sulaiman","doi":"10.1016/j.jdeveco.2025.103713","DOIUrl":"10.1016/j.jdeveco.2025.103713","url":null,"abstract":"<div><div>Using a randomized controlled trial, this paper evaluates the impact of a gender norms intervention for young adolescents in Somalia. The program leads to greater support for gender equality in the privately reported attitudes of girls and boys; with further positive effects on mental health, aspirations, and boys’ engagement in housework. A novel lab-in-the-field experiment is used to observe social group dynamics among adolescent peers to examine the program’s impact on receptivity to social conformity. We adopt Asch-inspired conformity measures to demonstrate a treatment effect on conformity in gender beliefs (when stated publicly) versus conformity in a more general class of publicly stated beliefs as a placebo test. We find that private changes in gender beliefs lead to differences in an adolescent’s willingness to conform to group beliefs. Treated adolescents are less likely to succumb to peer pressure to conform when stating their gender attitudes in public, leading to greater public expression of egalitarian ideals. The effects on conformity are observed only for the gender norms domain. Our findings suggest that social norms interventions can be effective in positively shaping gender attitudes, helping to empower adolescents to withstand normative pressures.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103713"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-05DOI: 10.1016/j.jdeveco.2025.103717
Runhao Zhao , Ye Yuan , Chong Liu , Junjian Yi
We study how the environment shapes aging. Leveraging a natural experiment in China where coal-powered winter heating caused persistently higher levels of particulate matters (PMs) north of a policy boundary for over three decades, we find that prolonged PM exposure accelerates aging beyond the biological age, leading to higher rates of multiple chronic conditions, functional disabilities, and cognitive decline in the working-age population. These effects were dormant in the early adulthood, emerged and developed rapidly in age 40s to 50s, and persisted long after exposure ends. Older cohorts experience faster and more enduring aging effects than younger ones under the same exposure, indicating greater life-cycle vulnerability to pollution-induced aging. We highlight that sustained PM exposure accelerates aging and exacerbates physical and cognitive decline in the working-age population.
{"title":"Aging in Haze","authors":"Runhao Zhao , Ye Yuan , Chong Liu , Junjian Yi","doi":"10.1016/j.jdeveco.2025.103717","DOIUrl":"10.1016/j.jdeveco.2025.103717","url":null,"abstract":"<div><div>We study how the environment shapes aging. Leveraging a natural experiment in China where coal-powered winter heating caused persistently higher levels of particulate matters (PMs) north of a policy boundary for over three decades, we find that prolonged PM exposure accelerates aging beyond the biological age, leading to higher rates of multiple chronic conditions, functional disabilities, and cognitive decline in the working-age population. These effects were dormant in the early adulthood, emerged and developed rapidly in age 40s to 50s, and persisted long after exposure ends. Older cohorts experience faster and more enduring aging effects than younger ones under the same exposure, indicating greater life-cycle vulnerability to pollution-induced aging. We highlight that sustained PM exposure accelerates aging and exacerbates physical and cognitive decline in the working-age population.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103717"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-22DOI: 10.1016/j.jdeveco.2025.103708
Carlo Birkholz , David Gomtsyan
Can developing countries benefit from exporting opportunities in the growing sector of tradable services, given the near free information flow via the internet and wage differentials relative to developed countries? Focusing on the software development industry, we analyze data from 2.68 million software projects across 5200 locations, and estimate an economic geography model in which locations trade tasks. The results reveal three factors limiting exports: (i) significant productivity differences within and between countries; (ii) a notable decline in trade volumes with distance; (iii) sorting patterns among software developers that are suggestive of brain drain.
{"title":"The global software production network","authors":"Carlo Birkholz , David Gomtsyan","doi":"10.1016/j.jdeveco.2025.103708","DOIUrl":"10.1016/j.jdeveco.2025.103708","url":null,"abstract":"<div><div>Can developing countries benefit from exporting opportunities in the growing sector of tradable services, given the near free information flow via the internet and wage differentials relative to developed countries? Focusing on the software development industry, we analyze data from 2.68 million software projects across 5200 locations, and estimate an economic geography model in which locations trade tasks. The results reveal three factors limiting exports: (i) significant productivity differences within and between countries; (ii) a notable decline in trade volumes with distance; (iii) sorting patterns among software developers that are suggestive of brain drain.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103708"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-29DOI: 10.1016/j.jdeveco.2025.103692
Caiquan Bai , Jing Cao , Ming Huang , Chen Xi , Peng Zhang
This paper leverages novel high-frequency electricity consumption data to examine whether urban and rural residents in China are adapting unevenly to short-run extreme heat shocks and long-run climate warming. We demonstrate that both urban and rural groups increase their electricity consumption during transient day-to-day extreme heat events, with the former showing significantly stronger responses, thus revealing a notable adaptation inequality. We document the existence of the urban heat island, but its role in explaining the observed urban–rural adaptation disparity is negligible. Instead, the more fundamental urban–rural real income gap, closely tied to adaptive capacity, almost entirely accounts for the observed difference. In the long run, we find that climate warming over the past 5–20 years significantly promotes adaptation strategy in urban and rural groups, but no evident disparity is observed between these groups. Rural residents have experienced higher income growth over the past decade, which enabled them to afford durable adaptive equipment that is on par with that of their urban counterparts.
{"title":"Feeling the same heat? Urban–rural inequalities in adapting to extreme temperatures via electricity consumption","authors":"Caiquan Bai , Jing Cao , Ming Huang , Chen Xi , Peng Zhang","doi":"10.1016/j.jdeveco.2025.103692","DOIUrl":"10.1016/j.jdeveco.2025.103692","url":null,"abstract":"<div><div>This paper leverages novel high-frequency electricity consumption data to examine whether urban and rural residents in China are adapting unevenly to short-run extreme heat shocks and long-run climate warming. We demonstrate that both urban and rural groups increase their electricity consumption during transient day-to-day extreme heat events, with the former showing significantly stronger responses, thus revealing a notable adaptation inequality. We document the existence of the urban heat island, but its role in explaining the observed urban–rural adaptation disparity is negligible. Instead, the more fundamental urban–rural real income gap, closely tied to adaptive capacity, almost entirely accounts for the observed difference. In the long run, we find that climate warming over the past 5–20 years significantly promotes adaptation strategy in urban and rural groups, but no evident disparity is observed between these groups. Rural residents have experienced higher income growth over the past decade, which enabled them to afford durable adaptive equipment that is on par with that of their urban counterparts.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103692"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-27DOI: 10.1016/j.jdeveco.2025.103688
Justice Tei Mensah , Peter Chacha Wankuru , Benard K. Kirui
How important is government business to the private sector in developing economies? We use administrative tax data on firm-to-firm transactions in Kenya to examine the effects of becoming a government contractor on firm performance. Using an event study design, we document significant gains from becoming a supplier to a government entity. Four years later, beneficiary firms experience a 27% increase in productivity and employ 10% more. These effects are somewhat comparable to the gains from joining a multinational supply chain. Beneficiary firms also expand their trading networks to other private firms. Relaxing credit constraints and improving resilience to shocks are likely operative channels of impact. These findings highlight the potential welfare gains from improving efficiency in public procurement.
{"title":"Public procurement and firms: Evidence from Kenya","authors":"Justice Tei Mensah , Peter Chacha Wankuru , Benard K. Kirui","doi":"10.1016/j.jdeveco.2025.103688","DOIUrl":"10.1016/j.jdeveco.2025.103688","url":null,"abstract":"<div><div>How important is government business to the private sector in developing economies? We use administrative tax data on firm-to-firm transactions in Kenya to examine the effects of becoming a government contractor on firm performance. Using an event study design, we document significant gains from becoming a supplier to a government entity. Four years later, beneficiary firms experience a 27% increase in productivity and employ 10% more. These effects are somewhat comparable to the gains from joining a multinational supply chain. Beneficiary firms also expand their trading networks to other private firms. Relaxing credit constraints and improving resilience to shocks are likely operative channels of impact. These findings highlight the potential welfare gains from improving efficiency in public procurement.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103688"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-09DOI: 10.1016/j.jdeveco.2025.103716
Charles Irvin S. Siriban
It is well-established that ties between politicians influence the distribution of public resources, particularly in policy domains where officials enjoy substantial discretion. Other policy areas, such as disaster response, have more limited scope for discretionary targeting. To what extent does political alliance influence the allocation of resources in these settings? Focusing on the case of the Philippines, I examine if kinship ties between two major local politicians – provincial governor and congressperson – influence the response to typhoon shocks. Using a close-election regression discontinuity design, I find that kin-connected governors respond better than other governors to strong typhoon shocks. I argue that the effect can be explained by both supply and demand channels. I find suggestive evidence that governors leverage their connections to congresspersons to request more assistance from the national government. Furthermore, voters reward kin-connected governors for their response to strong typhoons. These results provide a lower-bound estimate on the effects of political alliances on the allocation of fiscal resources.
{"title":"Kinship ties in politics and response to extreme weather shocks","authors":"Charles Irvin S. Siriban","doi":"10.1016/j.jdeveco.2025.103716","DOIUrl":"10.1016/j.jdeveco.2025.103716","url":null,"abstract":"<div><div>It is well-established that ties between politicians influence the distribution of public resources, particularly in policy domains where officials enjoy substantial discretion. Other policy areas, such as disaster response, have more limited scope for discretionary targeting. To what extent does political alliance influence the allocation of resources in these settings? Focusing on the case of the Philippines, I examine if kinship ties between two major local politicians – provincial governor and congressperson – influence the response to typhoon shocks. Using a close-election regression discontinuity design, I find that kin-connected governors respond better than other governors to strong typhoon shocks. I argue that the effect can be explained by both supply and demand channels. I find suggestive evidence that governors leverage their connections to congresspersons to request more assistance from the national government. Furthermore, voters reward kin-connected governors for their response to strong typhoons. These results provide a lower-bound estimate on the effects of political alliances on the allocation of fiscal resources.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103716"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-12DOI: 10.1016/j.jdeveco.2025.103696
Yen-Chien Chen , Elliott Fan , Yu-Hsin Ho , Matthew Yi-Hsiu Lee , Jin-Tan Liu
{"title":"Corrigendum to “The impact of female political leadership on gender attitudes: Evidence from Taiwan's local councils” [J. Dev. Econ. Volume 174, May 2025, 103451]","authors":"Yen-Chien Chen , Elliott Fan , Yu-Hsin Ho , Matthew Yi-Hsiu Lee , Jin-Tan Liu","doi":"10.1016/j.jdeveco.2025.103696","DOIUrl":"10.1016/j.jdeveco.2025.103696","url":null,"abstract":"","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103696"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-18DOI: 10.1016/j.jdeveco.2025.103707
Kecen Jing , Wen-Chi Liao
Emerging countries like China have heavily invested in motorways to improve market access. Such transport network expansion can affect regional industrial development, but causal inference is challenging. Existing studies typically focus on longer-term effects or exclude economically important locations, lacking an identification strategy that can address rapid transport development and cover the country's entire economic geography. To fill this gap, we introduce quasi-random Walled-City MST Panel IVs to instrument market access and examine how China's rapidly expanding expressway network affects manufacturing development. The IVs are generated by simulating dynamic expansion paths of hypothetical networks that ultimately connect all target locations predicted by 1820 city-wall characteristics. Research verifies IV orthogonality and inclusion and exclusion restrictions in both static and dynamic aspects. It conducts horse races between cross-sectional and panel IVs, and between IVs with or without historical city-wall data. The panel IV strategy is useful when both transportation development and economic growth are rapid. Excluding locations is unnecessary. County-level analysis shows that during 2000–2009, when market access improved by 1 %, manufacturing GDP and firm count increased by 0.28 % and 0.07 %. Manufacturers' average output, capital, and labor increased by 0.08 %, 0.06 %, and 0.03 %. There were impacts on regional decentralization, industrial upgrade, and geographic concentration of manufacturers. Trade elasticity is estimated. A model of market access derives estimable equations and rationalizes the economics, with the assumptions of inelastic residential and industrial land supply and mobile capital and labor.
{"title":"Expressways, market access, and industrial development in China: Using walled-city panel instrumental variables of minimum spanning tree","authors":"Kecen Jing , Wen-Chi Liao","doi":"10.1016/j.jdeveco.2025.103707","DOIUrl":"10.1016/j.jdeveco.2025.103707","url":null,"abstract":"<div><div>Emerging countries like China have heavily invested in motorways to improve market access. Such transport network expansion can affect regional industrial development, but causal inference is challenging. Existing studies typically focus on longer-term effects or exclude economically important locations, lacking an identification strategy that can address rapid transport development and cover the country's entire economic geography. To fill this gap, we introduce quasi-random Walled-City MST Panel IVs to instrument market access and examine how China's rapidly expanding expressway network affects manufacturing development. The IVs are generated by simulating dynamic expansion paths of hypothetical networks that ultimately connect all target locations predicted by 1820 city-wall characteristics. Research verifies IV orthogonality and inclusion and exclusion restrictions in both static and dynamic aspects. It conducts horse races between cross-sectional and panel IVs, and between IVs with or without historical city-wall data. The panel IV strategy is useful when both transportation development and economic growth are rapid. Excluding locations is unnecessary. County-level analysis shows that during 2000–2009, when market access improved by 1 %, manufacturing GDP and firm count increased by 0.28 % and 0.07 %. Manufacturers' average output, capital, and labor increased by 0.08 %, 0.06 %, and 0.03 %. There were impacts on regional decentralization, industrial upgrade, and geographic concentration of manufacturers. Trade elasticity is estimated. A model of market access derives estimable equations and rationalizes the economics, with the assumptions of inelastic residential and industrial land supply and mobile capital and labor.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103707"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-29DOI: 10.1016/j.jdeveco.2025.103695
Daniel Gerszon Mahler, Marta Schoch, Christoph Lakner, Minh Cong Nguyen
This paper develops a method to predict comparable income and consumption distributions for all countries in the world from a simple regression with a handful of country-level variables. To fit the model, the analysis uses around 2,000 distributions from household surveys covering 168 countries from the World Bank's Poverty and Inequality Platform. More than 1,000 economic, demographic, and remote sensing predictors from multiple databases are used to test the models. A model is selected that balances out-of-sample accuracy, simplicity, and the share of countries for which it can be applied. The paper finds that a parsimonious model relying on gross domestic product per capita, under-5 mortality rate, life expectancy, and rural population share gives almost the same accuracy as a complex machine learning model using 1,000 indicators jointly. This small set of basic indicators related to human development explains most cross-country variation in income distributions and can facilitate distributional analysis even in countries with extreme data deprivation.
{"title":"A parsimonious approach to predicting income distributions","authors":"Daniel Gerszon Mahler, Marta Schoch, Christoph Lakner, Minh Cong Nguyen","doi":"10.1016/j.jdeveco.2025.103695","DOIUrl":"10.1016/j.jdeveco.2025.103695","url":null,"abstract":"<div><div>This paper develops a method to predict comparable income and consumption distributions for all countries in the world from a simple regression with a handful of country-level variables. To fit the model, the analysis uses around 2,000 distributions from household surveys covering 168 countries from the World Bank's Poverty and Inequality Platform. More than 1,000 economic, demographic, and remote sensing predictors from multiple databases are used to test the models. A model is selected that balances out-of-sample accuracy, simplicity, and the share of countries for which it can be applied. The paper finds that a parsimonious model relying on gross domestic product per capita, under-5 mortality rate, life expectancy, and rural population share gives almost the same accuracy as a complex machine learning model using 1,000 indicators jointly. This small set of basic indicators related to human development explains most cross-country variation in income distributions and can facilitate distributional analysis even in countries with extreme data deprivation.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"180 ","pages":"Article 103695"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}