[gov3009-l] Trade and Inequality in China: a Bayesian Hierarchical Framework

Trade and Inequality in China: a Bayesian Hierarchical Framework. Tao Li (Government Department, Harvard University). Wednesday December 4 at noon Center for Basic Research in the Social Sciences 34 Kirkland Street, Room 22 Lunch will be served. Abstract: A Bayesian hierarchical framework is fitted to panel data on Chinese trade and income inequality to test whether trade has contributed to the reduction of rural-urban income inequality in China. The Bayesian hierarchical framework proves useful for studying the large regional variability within China. The preliminary results are reported and compared with alternative econometric models. This presentation will be a working session, with no paper available. The Research Workshop in Applied Statistics is a year-long forum for graduate students, faculty, and visiting scholars to present and discuss statistical innovations and applications in the social sciences. For more information or to subscribe to the permanent workshop list, email corr(a)fas.harvard.edu.