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sidenav header background[12月6日]劳动与健康经济学workshop
发布日期：2019-12-03 01:46 来源：
时间：12月6日（周五）13：30-15：00
地点：北京大学经济学院305教室
主持人：赵耀辉、雷晓燕、张丹丹、秦雪征、王耀璟、袁野
主讲人：崔琨（北京大学经济学院）、陈嫣然（北京大学经济学院）
报告一：
题目: Fragmented Health Insurance, Migration and Rural-Urban Gap
报告摘要:
This paper studies how fragmented health insurance schemes, featured with reimbursement barrier in rural area, affect inequality through rural-to-urban migration in China. To quantify these effects, we extend a two-sector model developed by Hayashi and Prescott (2008). Our model well fits the ratio of rural-to-urban migrant workers to total workers and the ratio of per capita wage in agriculture sector to non-agriculture sector in China from 2007 to 2018. We find that fragmented health insurance schemes accelerate the migration and then affect the rural-urban gap. Quantitative results show that the consolidation of reimbursement of health insurance narrows the rural-urban per capita wage gap and total output gap by about 18.3% and 17.1% respectively. The consolidation of contributions into payroll premium enlarges the rural-urban per capita wage gap and total output gap by about 9.6% and 9.4% respectively. The enforcement of non-local reimbursement narrows the rural-urban per capita wage gap and total output gap by about 1.6% and 1.5% respectively.
主讲人简介：
崔琨，北京大学经济学院金融系2017级博士生
报告二：
题目: Does Extreme Temperature Exposure Take a Toll on Mental Health? --Evidence from China Health and Retirement Longitudinal Study
报告摘要:
Exposure to extreme temperature is becoming more frequent in the climate change era around the globe, and how it influences people’s mental health and psychological well-being is worth much research. Existing literature typically explores the short-term impact of one-time exposure to extreme temperature, while this paper focuses on the long-term impact of cumulative exposure. We define extreme temperature using relative terms based on the local temperature pattern (daily temperatures beyond the 1.96 standard deviation range of historical average), and we measure the exposure to extreme temperature by the number of days that people live in such abnormal temperature in the previous year. After combining the China Health and Retirement Longitudinal Study (CHARLS) and environmental data from NOAA from 2011 to 2015, we find empirical evidence that heat exposure days and cold exposure days during the past year both significantly increase the measured depression level of adults over age 45 (by 2.68% and 4.50% respectively), controlling for the city-, year- and individual- fixed effects. The effect varies across three components of depression symptoms, in which somatic symptoms are affected most. Furthermore, the effect is heterogeneous by gender and area of residency. Women and rural residents are more vulnerable to extreme temperature exposure. Also, we find that air conditioners and heating equipment are effective in alleviating the adverse impact of heat and cold exposure. Our estimation is robust and consistent across a variety of extreme temperature measurements. Our analysis shows evidence of the adverse impacts of long-term extreme weather exposure on the mental health of vulnerable populations, and further demonstrates the important role of cooling and heating technology on improving the population adaptability to environmental changes.
主讲人简介：
陈嫣然，北京大学经济学院西方经济学2016级博士生
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首页
-
教学项目展开 / 收起
sidenav background教学项目
sidenav header background[12月6日]劳动与健康经济学workshop
发布日期：2019-12-03 01:46 来源：
时间：12月6日（周五）13：30-15：00
地点：北京大学经济学院305教室
主持人：赵耀辉、雷晓燕、张丹丹、秦雪征、王耀璟、袁野
主讲人：崔琨（北京大学经济学院）、陈嫣然（北京大学经济学院）
报告一：
题目: Fragmented Health Insurance, Migration and Rural-Urban Gap
报告摘要:
This paper studies how fragmented health insurance schemes, featured with reimbursement barrier in rural area, affect inequality through rural-to-urban migration in China. To quantify these effects, we extend a two-sector model developed by Hayashi and Prescott (2008). Our model well fits the ratio of rural-to-urban migrant workers to total workers and the ratio of per capita wage in agriculture sector to non-agriculture sector in China from 2007 to 2018. We find that fragmented health insurance schemes accelerate the migration and then affect the rural-urban gap. Quantitative results show that the consolidation of reimbursement of health insurance narrows the rural-urban per capita wage gap and total output gap by about 18.3% and 17.1% respectively. The consolidation of contributions into payroll premium enlarges the rural-urban per capita wage gap and total output gap by about 9.6% and 9.4% respectively. The enforcement of non-local reimbursement narrows the rural-urban per capita wage gap and total output gap by about 1.6% and 1.5% respectively.
主讲人简介：
崔琨，北京大学经济学院金融系2017级博士生
报告二：
题目: Does Extreme Temperature Exposure Take a Toll on Mental Health? --Evidence from China Health and Retirement Longitudinal Study
报告摘要:
Exposure to extreme temperature is becoming more frequent in the climate change era around the globe, and how it influences people’s mental health and psychological well-being is worth much research. Existing literature typically explores the short-term impact of one-time exposure to extreme temperature, while this paper focuses on the long-term impact of cumulative exposure. We define extreme temperature using relative terms based on the local temperature pattern (daily temperatures beyond the 1.96 standard deviation range of historical average), and we measure the exposure to extreme temperature by the number of days that people live in such abnormal temperature in the previous year. After combining the China Health and Retirement Longitudinal Study (CHARLS) and environmental data from NOAA from 2011 to 2015, we find empirical evidence that heat exposure days and cold exposure days during the past year both significantly increase the measured depression level of adults over age 45 (by 2.68% and 4.50% respectively), controlling for the city-, year- and individual- fixed effects. The effect varies across three components of depression symptoms, in which somatic symptoms are affected most. Furthermore, the effect is heterogeneous by gender and area of residency. Women and rural residents are more vulnerable to extreme temperature exposure. Also, we find that air conditioners and heating equipment are effective in alleviating the adverse impact of heat and cold exposure. Our estimation is robust and consistent across a variety of extreme temperature measurements. Our analysis shows evidence of the adverse impacts of long-term extreme weather exposure on the mental health of vulnerable populations, and further demonstrates the important role of cooling and heating technology on improving the population adaptability to environmental changes.
主讲人简介：
陈嫣然，北京大学经济学院西方经济学2016级博士生
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