Bayesian and decomposition analysis for health inequality in Japan
![National Institute of Health Sciences (Kawasaki, Japan) National Institute of Health Sciences (Kawasaki, Japan)](https://acde.crawford.anu.edu.au/sites/default/files/styles/anu_doublenarrow_440_220/public/events/images/2019-07/national_institute_of_health_sciences_kawasaki_japan-min.jpg?itok=NZHhUgmK)
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A severely ageing population is confronting Japan. Health conditions, particularly among aged people, are attracting more concern. Health inequality in Japan is a topic as important as income inequality.
Using the self-reported health data in Japan, the study analyses health inequality. The data collected is ordinal categorical data, that is, qualitative data. The study calculates the inequality index in Japan based on ordinal categorical health data and decomposes the health inequality by age groups and sexes using the Bayesian method.
Haruhisa Nishino is a Professor of Economic Statistics in the School of Economics, Graduate School of Social Sciences at Hiroshima University, Japan. He received his PhD in Economics from the University of Tokyo. His research interests include income inequality, economic statistics and econometrics.
The AJRC Seminar Series is a forum for researchers to engage on issues relevant to Japan. Topics include, but are not limited to, economics, international relations, politics, and national security. Seminars are typically very frank and early stage studies are most welcome.
A sushi lunch will be provided after the seminar and you are welcomed to join in conversing with colleagues. Registration is essential, please use the registration link with the button below.
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