The long arm of childhood: The association between early-life indoor air pollution exposure and cognitive performance in later life
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DOI: 10.1016/j.socscimed.2025.118662
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- Giorgio Di Gessa & Mikaela Bloomberg & Rina So & Shaun Scholes & Thomas Byrne & Jinkook Lee & Sara D Adar & Paola Zaninotto & Lewis A Lipsitz, 2025. "Cognitive Performance and Long-term Exposure to Outdoor Air Pollution: Findings From the Harmonized Cognitive Assessment Protocol Substudy of the English Longitudinal Study of Ageing (ELSA-HCAP)," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 80(5), pages 1049-1062.
- Stefan Wager & Susan Athey, 2018.
"Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
- Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.
- Jin Liu & Bingdong Hou & Xiao-Wei Ma & Hua Liao, 2018. "Solid fuel use for cooking and its health effects on the elderly in rural China," CEEP-BIT Working Papers 111, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Maes, Wouter H. & Verbist, Bruno, 2012. "Increasing the sustainability of household cooking in developing countries: Policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4204-4221.
- Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
- Sara Pudas & Michael Rönnlund & Angela Gutchess, 2019. "School Performance and Educational Attainment as Early-Life Predictors of Age-Related Memory Decline: Protective Influences in Later-Born Cohorts," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 74(8), pages 1356-1365.
- Dale Dannefer, 2003. "Cumulative Advantage/Disadvantage and the Life Course: Cross-Fertilizing Age and Social Science Theory," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(6), pages 327-337.
- Ding, Ruoxi & He, Ping, 2021. "Associations between childhood adversities and late-life cognitive function: Potential mechanisms," Social Science & Medicine, Elsevier, vol. 291(C).
- Zaid Hattab & Edel Doherty & Andrew M Ryan & Stephen O’Neill, 2024. "Heterogeneity within the Oregon Health Insurance Experiment: An application of causal forests," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-21, January.
- Scott D Easton & Jooyoung Kong & Deborah S Carr, 2021. "Childhood Adversities, Midlife Health, and Elder Abuse Victimization: A Longitudinal Analysis Based on Cumulative Disadvantage Theory [Prevalence and correlates of emotional, physical, sexual, and financial abuse and potential neglect in the Unite," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(10), pages 2086-2097.
- Bailey, Roy E. & Hatton, Timothy J. & Inwood, Kris, 2018. "Atmospheric Pollution, Health, and Height in Late Nineteenth Century Britain," The Journal of Economic History, Cambridge University Press, vol. 78(4), pages 1210-1247, December.
- Zong, Xu & Meng, Xiangjiao & Silventoinen, Karri & Nelimarkka, Matti & Martikainen, Pekka, 2025. "Heterogeneous associations between early-life religious upbringing and late-life health: Evidence from a machine learning approach," Social Science & Medicine, Elsevier, vol. 380(C).
- Bharadwaj, Prashant & Zivin, Joshua Graff & Mullins, Jamie T & Neidell, Matthew, 2016. "Early-Life Exposure to the Great Smog of 1952 and the Development of Asthma," University of California at San Diego, Economics Working Paper Series qt93t208pv, Department of Economics, UC San Diego.
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