The cross-spousal effect of education on health

Guo, Rufei; Lin, Lin; Yi, Junjian; Zhang, Junsen

doi:10.1016/j.jdeveco.2020.102493

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…However, there may be other experiences that are different between the twins, such as marriage. If one twin marries a higher educated spouse, their income ( 39 ), health ( 58 ), and happiness may be affected by spousal characteristics. Spousal characteristics can reflect two sets of variables: those that are fixed within twin pairs (e.g., genetic endowment and family background) and those that are individual-specific.…”

Section: Robustness Checks and Heterogeneity Analysismentioning

confidence: 99%

Twins, income, and happiness: Evidence from China

Zhang

Hong-bin

2023

Proc. Natl. Acad. Sci. U.S.A.

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We estimate the causal effect of income on happiness using a unique dataset of Chinese twins. This allows us to address omitted variable bias and measurement errors. Our findings show that individual income has a large positive effect on happiness, with a doubling of income resulting in an increase of 0.26 scales or 0.37 SDs in the four-scale happiness measure. We also find that income matters most for males and the middle-aged. Our results highlight the importance of accounting for various biases when studying the relationship between socioeconomic status and subjective well-being.

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Section: Robustness Checks and Heterogeneity Analysismentioning

confidence: 99%

Twins, income, and happiness: Evidence from China

Zhang

Hong-bin

2023

Proc. Natl. Acad. Sci. U.S.A.

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“…Furthermore, the study examined the effect of the education gap between couples and found that the risk of morbidity increases when a highly educated woman partners with a less educated man. On the other hand, Guo et al (2020), using twin data between two time points in their analysis, find that the years of education of the wife reduce the husband's consumption of tobacco and alcohol, increase the frequency of exercise, reduce the probability of being overweight, and reduce the number of chronic diseases. Using China's educational reforms as an instrumental variable, Fu et al (2022) find that more years of education increased subjective health conditions and decreased the probability of being overweight, smoking, and alcohol consumption.…”

Section: Introductionmentioning

confidence: 99%

The IAFOR International Conference on Education – Hawaii 2024 Official Conference Proceedings

2024

IICE Official Conference Proceedings

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ChatGPT has grown in popularity among educators over the past few months. The way we teach and learn could be completely changed by the implementation of artificial intelligence (AI) technology in schools. Therefore, the main goal of this study is to determine in-depth public perceptions of ChatGPT use in Chinese educational programs, particularly for college students. Moreover, it also aims to examine how using ChatGPT affects writing performances. The foundation of this study is the technology acceptance model and the connectivism learning theory. Mixed methods will be used in questionnaires and in-depth interviews to identify the most prevalent issues with Chat GPT use on the university campus, and to suggest inclusive education initiatives that can support a secure and productive learning environment for WKU students. Besides, 200 respondents, including students, professors, and staff at WKU, will make up the sample. This study is beneficial for professors who teach writing at Wenzhou Kean University because it demonstrates how to use Chat GPT correctly to enhance students' own writing abilities. Furt hermore, the future application of Chat GPT in China's educational system will greatly benefit from the findings of this study.

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“…For instance, education has been confirmed to have a positive effect on health and is closely related to infectious diseases (Ackerknecht, 1954;Hartog and Oosterbeek, 1998;Gerdtham and Johannesson, 1999;Meara et al, 2008). As educated people tend to obtain more health output (Mokdad et al, 2000) and get more information about their health problems (Pawli nska-Chmara and Wronka, 2007), they prefer to invest more in their health and their families (Guo et al, 2020), which are all conducive to pandemic prevention and control.…”

Section: Introductionmentioning

confidence: 99%