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AI, skill, and productivity : the case of taxi drivers
Kanazawa, Kyogo; Kawaguchi, Daiji; Shigeoka, Hitoshi; … - 2022
We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...
Persistent link: https://www.econbiz.de/10013433210
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Measuring employment readiness for hard-to-place individuals
Tranberg Bodilsen, Simon; Nielsen, Søren Albeck; … - 2023
In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many individuals outside the labor market aspire to work but encounter a labyrinth of obstacles. While Public Employment Services...
Persistent link: https://www.econbiz.de/10014431794
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Childhood circumstances and health of American and Chinese older adults : a machine learning evaluation of inequality of opportunity in health
Huo, Shutong; Feng, Derek; Gill, Thomas M.; Chen, Xi - 2024
Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...
Persistent link: https://www.econbiz.de/10014463718
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Using machine learning and qualitative interviews to design a five-question women's agency index
Jayachandran, Seema; Biradavolu, Monica R.; Cooper, Jan - 2021
measure agency for 209 women in Haryana, India, first, through a semi-structured interview and, second, through a large set of …
Persistent link: https://www.econbiz.de/10012493341
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Machine learning estimation of heterogeneous causal effects : empirical Monte Carlo evidence
Knaus, Michael C.; Lechner, Michael; Strittmatter, Anthony - 2018
We investigate the finite sample performance of causal machine learning estimators for heterogeneous causal effects at different aggregation levels. We employ an Empirical Monte Carlo Study that relies on arguably realistic data generation processes (DGPs) based on actual data. We consider 24...
Persistent link: https://www.econbiz.de/10011958919
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Machine learning and multiple abortions
Kumar, Pradeep; Nicodemo, Catia; Oreffice, Sonia; … - 2024
This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...
Persistent link: https://www.econbiz.de/10014545133
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Energy poverty and subjective well-being in China : new evidence from the China family panel studies
Nie, Peng; Li, Qiaoge; Sousa-Poza, Alfonso - 2021
Using the 2012-2018 waves of the China Family Panel Studies, we investigate the impact of energy poverty (EP) on …
Persistent link: https://www.econbiz.de/10012549446
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Childhood adversity and energy poverty
Cheng, Zhiming; Guo, Liwen; Smyth, Russell; Tani, … - 2021
Famine on the likelihood of being in energy poverty in adulthood. We find that a one unit increase in the intensity of the … probability of being in energy poverty in adulthood, depending on the exact specification and measure of energy poverty. We find … to be in energy poverty later in life. These findings are robust to alternative ways of measuring childhood adversity and …
Persistent link: https://www.econbiz.de/10012669583
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Inexpensive heating reduces winter mortality
Chirakijja, Janjala; Jayachandran, Seema; Ong, Pinchuan - 2019
This paper examines how the price of home heating affects mortality in the US. Exposure to cold is one reason that mortality peaks in winter, and a higher heating price increases exposure to cold by reducing heating use. It also raises energy bills, which could affect health by decreasing other...
Persistent link: https://www.econbiz.de/10011988556
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Energy poverty and entrepreneurship
Cheng, Zhiming; Tani, Massimiliano; Wang, Haining - 2021
We use the 2012-2018 China Family Panel Studies data to examine the relationship between household energy poverty and … probability of being an entrepreneur. The results are robust to various checks, including alternative measures of energy poverty … estimation methods and potential omitted variable bias. We also explore the channels through which energy poverty influences …
Persistent link: https://www.econbiz.de/10012596057