Source materials used in the study of population; standard procedures for the measurement of fertility, mortality, natural increase, migration, and nuptiality; and uses of model life tables and stable population analysis and other techniques of estimation when faced with inaccurate or incomplete data are studied.

This course is a doctoral seminar in modern demographic methods and theory, with a focus on application in dissertation research. We cover non-stable population methods, including tempo and quantum as well as variable-r methods; population projection; modern multistate life table methods; multivariate and functional decomposition; event history (survival) models; indirect estimation; sample survey methods; the biology and demography of aging, including coverage of biomarkers, Alzheimer's disease, and quantitative models for aging; modeling heterogeneity and selection; imputation of missing data; and sources of data in population research.

Course examines how and why society can make us sick or healthy and how gender, race/ethnicity, wealth, education, occupation and other social statuses shape health outcomes. It looks at the role of social institutions, and environment-society interactions in shaping health outcomes and examines how these factors underlie some of the major causes of illness and death around the world including infant mortality, infectious diseases such as HIV/AIDS, and chronic diseases such as heart disease and cancer. The course draws on historical and cross-cultural material from the U.S. as well as global examples from different countries around the world.

This seminar is designed to help graduate students in economics cultivate ethical research practices they may apply in future work at or beyond the University. Students are encouraged to discuss concerns that may arise during the conduct of their research with experienced faculty and devise solutions for dealing with these concerns. The course provides necessary training for newly mandated RCR training for graduate students supported by government grants, and is required for successful completion of the program.

This course begins with extensions of the linear model in several directions: (1) pre-determined but not exogenous regressors; (2) heteroskedasticity and serial correlation; (3) classical GLS; (4) instrumental variables and generalized method of moments estimators. Applications include simultaneous equation models, VARS and panel data. The second part of the course covers the bootstrap, nonparametric estimators, extremum estimators (including discrete choice models), and estimation of treatment effects.

The course surveys both the theoretical literature and the relevant empirical methods and results in selected current research topics in labor economics.

This course studies topics in Development beyond those covered in ECO 562. Topics vary from year to year. The first half of the course focuses on issues in macro development. Specific topics include an overview of broad development patterns, development accounting, misallocation, structural change, premature deindustrialization, the role of agriculture in development, market imperfections, and risk-sharing. The second half of the course covers micro development. Specific topics include environment, education, gender inequality, intrahousehold allocation, and firms.

This is the first class of the quantitative methods field in the PhD. in Politics. It is a doctoral-level introduction to foundations of mathematical statistics for Ph.D. students in Politics and other social and behavioral sciences. The class covers rigorous foundations of classical point estimation and statistical inference, as well foundational topics in econometrics. It covers both finite-sample and large-sample theory and relies on linear algebra and multivariate calculus at the level of POL 502. POL 502 or equivalent is a pre-requisite of this class.

This two-day workshop is concerned with the professional obligations of political science researchers. This course is designed to raise those concerns and develop in students an appreciation for the issues that they might confront as they do their work. Topics include the relationship of political science as an academic discipline to democratic politics and institutions, advocacy and objectivity in political science, plagiarism and academic misconduct, human subjects and fieldwork, institutional review boards, funding sources and intellectual integrity, collaboration, and mentoring. Required of all first year Politics graduate students.

This course on ethnographic research methods is for first year sociology PhD students. The seminar 1) reviews foundational principles of ethnographic design; 2) introduces students to important debates in ethnography; 3) outlines different approaches to ethnography, considering the strengths and limitations of various approaches; and 4) familiarizes students with the components of ethnography to prepare them to evaluate and execute ethnographic projects.

This course explores a range of advanced statistical methods used in quantitative social science research. The first half of the course focuses on generalized linear models and maximum likelihood estimation, and the second half of the course focuses on applied causal inference and quasi-experimental methods. We emphasize both proper implementation of these statistical strategies and critical engagement with their key assumptions. Familiarity with introductory probability theory and multivariate linear regression is required.

The main tools of econometric analysis and the way in which they are applied to a range of problems in social science. The emphasis is on using techniques and understanding and critically assessing others' use of them. There is a great deal of practical work on the computer using a range of data from around the world. Topics include regression analysis, with a focus on regression as a tool for analyzing nonexperimental data and discrete choice. An introduction to time-series analysis is given. There are applications from macroeconomics, policy evaluation, and economic development.

This course offers a broad treatment of macroeconomic theory and policy issues, using the formal methods of modern macroeconomics. Topics include long-run growth and development, labor, consumption, savings and investment decisions, the role of expectations, short-run fluctuations and stabilization policy, inflation and unemployment, trade and exchange rates.

This course examines the histories, processes and nuanced dynamics that contribute to the making of cities in the Global South. We explore central debates in the study of these cities across geography, urban studies and planning, and development studies. Students deepen their understanding of the Global South, how it is conceptualized and what this means for urban development, while identifying patterns and specificities across the comparative contexts of Africa, Asia and Latin America. Ultimately, we consider how these actors are, or should be considered, in policymaking and planning interventions in the Global South.

This course covers the research on the drivers, consequences, and policies of migration. Taking a global and historical perspective, we explore how different factors have become salient in driving migration flows in different parts of the world and at different times and what policies have been implemented and with what consequences. Crucially, we use a broad definition of migration policy, focusing not just on border enforcement or visa regimes, but also on trade, international relations, and social policy which are all linked to human mobility.

A course required for and limited to students in the Joint Degree program in Social Policy. Two major areas of psychology make important contributions to the study of social policy and inequality. The first is social psychology, which focuses on inter-group relations, interpersonal perception, stereotyping, racism, aggression, justice and fairness. The second domain involves the fields of social-cognition, judgment and decision making, areas of research that study human information processing in a way that is not about individual differences, and often not social.

This seminar explores supply-side approaches to addressing this pervasive housing crisis. We examine critically the current policies, challenges, and practice of developing new, income-restricted affordable housing, both single-family and multi-family, for sale and rental, in the United States. We assess the impacts of building affordable housing on residents and communities, including issues of race and class. We conclude by discussing student papers and assessing likely and desirable alternative future affordable housing policies.