The Impact of Income on Health Expenditures of the Older Population in China

作     者：冯钰琪 

作者单位：湖南大学 

学位级别：硕士

导师姓名：Patrick McCarthy

授予年度：2022年

学科分类：02[经济学] 0201[经济学-理论经济学] 020105[经济学-世界经济] 

主      题：Health expenditure Income Income elasticity Tobit model CHARLS 

摘      要：Nowadays,China has become the country with the largest number of the older in the world and one of the countries with the fastest population *** compared with many countries and regions in the world,such as Japan and Europe,China s aging problem has not appeared for a long time,but in recent years it has become more and more *** the same time,due to the relevant policies implemented by China,the growth rate of the young population has been lower than the natural growth *** the combined influence of these two factors,China s aging problem has become more severe,it has attracted worldwide *** a long-term perspective,the older population will maintain a relatively high level both in terms of the overall number and the proportion of the *** older are the most vulnerable and most in need of care among the entire population,so health and medical services are extremely important to *** is worth noting that the older are under increasing pressure on health *** this paper,we mainly study the impact of income on the health expenditure of middle-aged and elderly people in *** data used in this study are from the China Health and Retirement Longitudinal Survey(CHARLS),a longitudinal study of people over 45 years old in China,using data from Harmonized CHARLS 2011,2013 and 2015 to construct panel *** this study,firstly,we explore the relationship between income and health expenditure by using pooled OLS and fixed effect model,finding that there has significant effect of income on health expenditure of respondents,and income elasticity of health expenditure is approximately 0.023,which implies that health care is still a necessity for *** addition,because there are quite a few health expenditures that are zero,hence we consider using Tobit model for regression to analyze the influencing factors of respondent s health *** explore both Tobit analysis of OLS model and random Tobit analysis,