The effect of cooking fuel choice on the elderly’s well-being: Evidence from two non-parametric methods
Author
Abstract
Suggested Citation
DOI: 10.1016/j.eneco.2023.106826
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Tian, Zhihua & Tian, Yanfang & Shen, Liangping & Shao, Shuai, 2021. "The health effect of household cooking fuel choice in China: An urban-rural gap perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Burlinson, Andrew & Giulietti, Monica & Battisti, Giuliana, 2018. "The elephant in the energy room: Establishing the nexus between housing poverty and fuel poverty," Energy Economics, Elsevier, vol. 72(C), pages 135-144.
- Lin, Youhong & Liu, Feng, 2020. "Indoor air quality and health: Empirical evidence from fluoride pollution in China," China Economic Review, Elsevier, vol. 63(C).
- Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
- Behera, Bhagirath & Rahut, Dil Bahadur & Jeetendra, Aryal & Ali, Akhter, 2015. "Household collection and use of biomass energy sources in South Asia," Energy, Elsevier, vol. 85(C), pages 468-480.
- Alem, Yonas & Beyene, Abebe D. & Köhlin, Gunnar & Mekonnen, Alemu, 2016.
"Modeling household cooking fuel choice: A panel multinomial logit approach,"
Energy Economics, Elsevier, vol. 59(C), pages 129-137.
- Alem, Yonas & Beyene, Abebe D. & Köhlin, Gunnar & Mekonnen, Alemu, 2015. "Modelling Household Cooking Fuel Choice: a Panel Multinomial Logit Approach," Working Papers in Economics 632, University of Gothenburg, Department of Economics.
- Michael C Knaus, 2022.
"Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
- Michael C. Knaus, 2021.
"A double machine learning approach to estimate the effects of musical practice on student’s skills,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
- Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
- Knaus, Michael C., 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," IZA Discussion Papers 11547, Institute of Labor Economics (IZA).
- Aziz, Shakila & Barua, Suborna & Chowdhury, Shahriar Ahmed, 2022. "Cooking energy use in Bangladesh: Evidence from technology and fuel choice," Energy, Elsevier, vol. 250(C).
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008.
"Bootstrap-Based Improvements for Inference with Clustered Errors,"
The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
- Jonah B. Gelbach & Doug Miller & A. Colin Cameron, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 128, University of California, Davis, Department of Economics.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2007. "Bootstrap-Based Improvements for Inference with Clustered Errors," NBER Technical Working Papers 0344, National Bureau of Economic Research, Inc.
- Liu, Ziming & Li, Jia & Rommel, Jens & Feng, Shuyi, 2020. "Health impacts of cooking fuel choice in rural China," Energy Economics, Elsevier, vol. 89(C).
- Elena Druică & Zizi Goschin & Rodica Ianole-Călin, 2019. "Energy Poverty and Life Satisfaction: Structural Mechanisms and Their Implications," Energies, MDPI, vol. 12(20), pages 1-20, October.
- Xiao Ma & Feiran Wang & Jiandong Chen & Yang Zhang, 2018. "The Income Gap Between Urban and Rural Residents in China: Since 1978," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1153-1174, December.
- Susan Athey & Guido W. Imbens, 2017.
"The State of Applied Econometrics: Causality and Policy Evaluation,"
Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
- Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
- 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.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey, 2017. "Double/Debiased/Neyman Machine Learning of Treatment Effects," American Economic Review, American Economic Association, vol. 107(5), pages 261-265, May.
- Wang, Yangjie & Chen, Xiaohong & Ren, Shenggang, 2019. "Clean energy adoption and maternal health: Evidence from China," Energy Economics, Elsevier, vol. 84(C).
- Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
- Liu, Pihui & Han, Chuanfeng & Teng, Minmin, 2022. "Does clean cooking energy improve mental health? Evidence from China," Energy Policy, Elsevier, vol. 166(C).
- Dmitry Arkhangelsky & Guido W Imbens, 2022. "Doubly robust identification for causal panel data models [Sufficient statistics for unobserved heterogeneity in structural dynamic logit models]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 649-674.
- Ma, Wanglin & Zheng, Hongyun & Gong, Binlei, 2022. "Rural income growth, ethnic differences, and household cooking fuel choice: Evidence from China," Energy Economics, Elsevier, vol. 107(C).
- Wang, Qiang & Kwan, Mei-Po & Zhou, Kan & Fan, Jie & Wang, Yafei & Zhan, Dongsheng, 2019. "Impacts of residential energy consumption on the health burden of household air pollution: Evidence from 135 countries," Energy Policy, Elsevier, vol. 128(C), pages 284-295.
- Kees, Marlis & Feldmann, Lisa, 2011. "The role of donor organisations in promoting energy efficient cook stoves," Energy Policy, Elsevier, vol. 39(12), pages 7595-7599.
- Dmitry Arkhangelsky & Guido W. Imbens, 2019.
"Doubly Robust Identification for Causal Panel Data Models,"
Papers
1909.09412, arXiv.org, revised Feb 2022.
- Dmitry Arkhangelsky & Guido W. Imbens, 2021. "Double-Robust Identification for Causal Panel Data Models," NBER Working Papers 28364, National Bureau of Economic Research, Inc.
- Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
- Paudel, Uttam & Khatri, Umesh & Pant, Krishna Prasad, 2018. "Understanding the determinants of household cooking fuel choice in Afghanistan: A multinomial logit estimation," Energy, Elsevier, vol. 156(C), pages 55-62.
- Fu, Hongqiao & Ge, Run & Huang, Jialin & Shi, Xinzheng, 2022. "The effect of education on health and health behaviors: Evidence from the college enrollment expansion in China," China Economic Review, Elsevier, vol. 72(C).
- Jeuland, M.A. & Bhojvaid, V. & Kar, A. & Lewis, J.J. & Patange, O. & Pattanayak, S.K. & Ramanathan, N. & Rehman, I.H. & Tan Soo, J.S. & Ramanathan, V., 2015. "Preferences for improved cook stoves: Evidence from rural villages in north India," Energy Economics, Elsevier, vol. 52(PB), pages 287-298.
- Matinga, Margaret Njirambo & Annegarn, Harold J. & Clancy, Joy S., 2013. "Healthcare provider views on the health effects of biomass fuel collection and use in rural Eastern Cape, South Africa: An ethnographic study," Social Science & Medicine, Elsevier, vol. 97(C), pages 192-200.
- Yang, Jui-Chung & Chuang, Hui-Ching & Kuan, Chung-Ming, 2020. "Double machine learning with gradient boosting and its application to the Big N audit quality effect," Journal of Econometrics, Elsevier, vol. 216(1), pages 268-283.
- Foell, Wesley & Pachauri, Shonali & Spreng, Daniel & Zerriffi, Hisham, 2011. "Household cooking fuels and technologies in developing economies," Energy Policy, Elsevier, vol. 39(12), pages 7487-7496.
- Jagger, Pamela & Shively, Gerald, 2014. "Land use change, fuel use and respiratory health in Uganda," Energy Policy, Elsevier, vol. 67(C), pages 713-726.
- Zhang, Lingyue & Li, Hui & Chen, Tianqi & Liao, Hua, 2022. "Health effects of cooking fuel transition: A dynamic perspective," Energy, Elsevier, vol. 251(C).
- Shu Wu, 2021. "The Health Impact of Household Cooking Fuel Choice on Women: Evidence from China," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2016. "Double/Debiased Machine Learning for Treatment and Causal Parameters," Papers 1608.00060, arXiv.org, revised Nov 2024.
- Imelda,, 2020. "Cooking that kills: Cleaner energy access, indoor air pollution, and health," Journal of Development Economics, Elsevier, vol. 147(C).
- Kelly C. Bishop & Jonathan D. Ketcham & Nicolai V. Kuminoff, 2018. "Hazed and Confused: The Effect of Air Pollution on Dementia," NBER Working Papers 24970, National Bureau of Economic Research, Inc.
- Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun, 2022. "Cooking fuel choices and subjective well-being in rural China: Implications for a complete energy transition," Energy Policy, Elsevier, vol. 165(C).
- Kristoffersen, Ingebjørg, 2018. "Great expectations: Education and subjective wellbeing," Journal of Economic Psychology, Elsevier, vol. 66(C), pages 64-78.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bharti Nandwani & Manisha Jain, 2024. "Access to clean cooking fuel and women outcomes," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2024-017, Indira Gandhi Institute of Development Research, Mumbai, India.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Liu, Pihui & Han, Chuanfeng & Teng, Minmin, 2022. "Does clean cooking energy improve mental health? Evidence from China," Energy Policy, Elsevier, vol. 166(C).
- Wu, Shu, 2022. "Household fuel switching and the elderly's health: Evidence from rural China," Energy, Elsevier, vol. 240(C).
- Yong Bian & Xiqian Wang & Qin Zhang, 2023. "How Does China's Household Portfolio Selection Vary with Financial Inclusion?," Papers 2311.01206, arXiv.org.
- Zheng, Linyi, 2023. "Impact of off-farm employment on cooking fuel choices: Implications for rural-urban transformation in advancing sustainable energy transformation," Energy Economics, Elsevier, vol. 118(C).
- Zhu, Xiaodong & Zhu, Zheng & Zhu, Bangzhu & Wang, Ping, 2022. "The determinants of energy choice for household cooking in China," Energy, Elsevier, vol. 260(C).
- Shu Wu, 2021. "The Health Impact of Household Cooking Fuel Choice on Women: Evidence from China," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
- Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun, 2022. "Cooking fuel choices and subjective well-being in rural China: Implications for a complete energy transition," Energy Policy, Elsevier, vol. 165(C).
- Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
- Liu, Ziming & Li, Jia & Rommel, Jens & Feng, Shuyi, 2020. "Health impacts of cooking fuel choice in rural China," Energy Economics, Elsevier, vol. 89(C).
- Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
- Liu, Pihui & Han, Chuanfeng & Liu, Xinghua & Teng, Minmin, 2023. "Assessing the effect of nonfarm income on the household cooking energy transition in rural China," Energy, Elsevier, vol. 267(C).
- Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
- Okyere, Charles Yaw & Abu, Benjamin Musah & Asante-Addo, Collins & Kodua, Theophilus Tweneboah, 2024. "Gendered health effects of cooking fuel technologies in southern Ghana," Technology in Society, Elsevier, vol. 77(C).
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
- Madadkhani, Shiva & Ikonnikova, Svetlana, 2024. "Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices," Energy Economics, Elsevier, vol. 129(C).
- Zhu, Huanyu & Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun, 2023. "Clean energy use and subjective and objective health outcomes in rural China," Energy Policy, Elsevier, vol. 183(C).
- Phillip Heiler & Michael C. Knaus, 2021.
"Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments,"
Papers
2110.01427, arXiv.org, revised Aug 2023.
- Heiler, Phillip & Knaus, Michael C., 2022. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," IZA Discussion Papers 15580, Institute of Labor Economics (IZA).
- Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
- Fanghua Li & Abbas Ali Chandio & Yinying Duan & Dungang Zang, 2022. "How Does Clean Energy Consumption Affect Women’s Health: New Insights from China," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
More about this item
Keywords
Cooking fuel choice; Elderly’s Well-being; Double Machine Learning; Propensity Score Matching;All these keywords.
JEL classification:
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003249. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.