Poverty stands prominently at the intersection of water scarcity, smallholder food production, and health in the world’s least developed regions. This project will measure the effects of poverty along the water-food-health nexus among rural households in Kenya, specifically, how differential access to domestic and productive water supplies, along with food security, and HIV and TB disease burden relate to changes in poverty over time among adults living in rural Kenyan households. Goals include measuring interactions between household productive and domestic water use, nutritional outcomes, infectious diseases, and poverty; and identifying  local interventions and policy responses that are likely to have positive spillover effects in any of these domains.

This research aims to better understand the impact of the Matlab health interventions by using panel data to control for unobservables and understand the dynamics and long-term effects of these programs. Heterogeneity in the fertility response to the family planning program is analyzed, using sequential fertility to isolate the family planning program from other interventions and examine heterogeneity based on time-varying characteristics. The link between childhood measles vaccination and school enrollment is examined using instrumental variables, and is motivated by the hypothesis that by avoiding the long-term health effects of a disease, vaccinated children are higher-achieving. Both analyses generate interesting findings that are not captured using the traditional methodologies and outcomes of program evaluation.

Julia Driessen, PhD, is an assistant professor of health policy and management in the Graduate School of Public Health at the University of Pittsburgh. She has a secondary appointment in the Department of Economics. In 2011 Dr. Driessen received her PhD in Economics from Johns Hopkins University. Her research interests include program evaluation and the links between health interventions and socioeconomic status, with an emphasis on heterogeneity of program effects as well as long-term outcomes. Recent research has analyzed the schooling effects of childhood measles vaccination and variation in the fertility response to a family planning program in Bangladesh. Her primary new interest since arriving at Pitt is the clinical and financial effects of electronic medical records in developing countries.

Population aging in Asian societies is accompanied by changes in intergenerational living arrangements, which can have substantial health and economic implications for the elderly parents and their adult children. Dr. Young Kyung Do will present some of his recent works related to elderly living arrangements in South Korea. These works include the effect of coresidence with an adult child on depressive symptoms among older widowed women; the relationship between adult children's coresidence with parents and their labor force participation; and interrelations between expectations about bequests and informal care with special emphasis on the role of intergenerational coresidence. In these studies, Dr. Do attempted to account for a common methodological issue: living arrangements are not always randomly assigned but may be jointly decided with the outcome of interest taken into account by either the elderly parents or their adult children. While this seminar will focus on the South Korean context, the significance and implications apply to many other Asian societies undergoing population aging and marked transitions in elderly living arrangements.

Dr. Young Kyung Do is an assistant professor at the Duke-National University of Singapore Graduate Medical School (Duke-NUS), Program in Health Services and Systems Research. His research interests include the economic and health system impact of population aging and noncommunicable disease; interactions between self-care, informal care, and formal care interfaces; and health, education, and labor market outcomes over the life course. He received his MD (1997) and master of public health (2003) degrees from Seoul National University, subsequently completing his PhD in Health Policy and Management (2008) at the University of North Carolina at Chapel Hill. He was the inaugural Asia Health Policy postdoctoral fellow at the Shorenstein Asia-Pacific Research Center,(2008−9).

We offer the first large scale, multiple source analysis of the outcome of what may be the most extensive effort to selectively censor human expression ever implemented. To do this, we have devised a system to locate, download, and analyze the content of millions of social media posts originating from nearly 1,400 different social media services all over China before the Chinese government is able to find, evaluate, and censor (i.e., remove from the Internet) the large subset they deem objectionable. Using modern computer-assisted text analytic methods that we adapt and validate in the Chinese language, we compare the substantive content of posts censored to those not censored over time in each of 95 issue areas. Contrary to previous understandings, posts with negative, even vitriolic, criticism of the state, its leaders, and its policies are not more likely to be censored. Instead, we show that the censorship program is aimed at curtailing collective action by silencing comments that represent, reinforce, or spur social mobilization, regardless of content. Censorship is oriented toward attempting to forestall collective activities that are occurring now or may occur in the future -- and, as such, seem to clearly expose government intent, such as examples we offer where sharp increases in censorship presage government action outside the Internet. This is joint work with Jennifer Pan and Molly Roberts.

Gary King is the Albert J. Weatherhead III University Professor at Harvard University -- one of 24 with the title of University Professor, Harvard's most distinguished faculty position. He is based in the Department of Government (in the Faculty of Arts and Sciences) and serves as director of the Institute for Quantitative Social Science. King develops and applies empirical methods in many areas of social science research, focusing on innovations that span the range from statistical theory to practical application.

King received a B.A. from SUNY New Paltz (1980) and a Ph.D. from the University of Wisconsin-Madison (1984). His research has been supported by the National Science Foundation, the Centers for Disease Control and Prevention, the World Health Organization, the National Institute of Aging, the Global Forum for Health Research, and centers, corporations, foundations, and other federal agencies.