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 combines a traditional public health course in epidemiology with a policy-oriented course on population health. Conventional topics include measurement of health and survival and impact of associated risk factors; techniques for design, analysis of epidemiologic studies; sources of bias and confounding; and causal inference. We also examine: models of infectious disease with an emphasis on COVID-19, inference and decision making based on large numbers of studies and contradictory information, the science underlying screening procedures, social inequalities in health, and ethical issues in medical research.

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 movements estimators. Applications include simultaneous equation models, VARS and panel data. Estimation and inference in non-linear models are discussed. Applications include nonlinear least squares, discrete dependent variables (probit, logit, etc.), problems of censoring, truncation and sample selection, and models for duration data.

This course builds upon POL 571 and introduces students to applied regression analysis in cross-section settings. It begins with the basic principles of causal inference, and then covers various statistical techniques including linear regression, instrumental variables, structural equation models, instrumental variables, and structural equation models. The materials are taught at the level of Hansen's Econometrics and Imbens and Rubin's Causal Inference.

This course covers a range of advanced topics in statistical learning that are useful for empirical research in political science. These may include dimension reduction and regularized regression for large datasets; scaling models; models for text, audio, and image data; and spatial statistics among other topics. The course focuses in particular on estimation and inference to enable students to adapt and extend existing approaches.

This is a course on research methods for sociology PhD students. The seminar has four objectives: 1) to review foundational principles of research design and contemporary debates in sociological methodology; 2) to introduce students to the practice of different research methods (e.g., survey research, experiments, in-depth interviews, ethnography) while considering the strengths and limitations of various approaches; 3) to familiarize students with the components of a strong empirical paper and prepare them to identify a topic and data for their empirical paper; and 4) to train students in the conduct of responsible research.

Introduces theories of inference underlying most statistical methods and how new approaches are developed. The first half of the course covers maximum likelihood estimation and generalized linear models. The second half covers a number of topics useful for applied work including missing data, matching for causal inference and, others. The course concludes with a project replicating and extending a piece of work in the scholarly literature.

Preparation of quantitative research papers based on field experiments, laboratory experiments, survey procedures, and secondary analysis of existing data banks.

This course offers an introduction to the inter-disciplinary research on drivers and consequences of human mobility in a historical and global context. The growth in migrant populations over the last decades has spawned heated public, political and academic debates on the processes and impacts of mass human mobility. In this course, we consider various mechanisms underlying migration, such as economic differentials between regions, political upheavals, and climate change, as well as the conditions for immigrant integration.

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. The course is advanced, so that: (i) having had some introductory course in macroeconomics is a prerequisite, and an intermediate level one is best; (ii) the course requires a solid command of microeconomic theory (511 c or d) and good comfort with algebra and calculus.

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.

Policy preferences, differential rates of political participation, voting behavior, the legislative process, political communication, urban politics and the role of race in American political life are central to the study of inequality in politics. Although the American case features prominently, we approach these issues from a comparative perspective. The course provides introduction to comparative study of welfare states and political economy of advanced industrial countries, including regulation of labor markets and relationship between wage inequality, income distribution and policy preferences for redistribution and social protection.

This course uses the lens of reproductive justice to examine policy and politics around reproduction and family formation in the United States. The course explores the social, historical and cultural forces that shape reproduction, focusing on how inequalities based on gender, sexuality, race and ethnicity, class, and citizenship structure and influence reproductive opportunities and experiences. Topics include contraception and abortion, childbirth and maternity care, adoption and family policy, reproductive technology, eugenics, the maternal mortality crisis, and the role of law, medicine and activism in shaping contemporary reproduction.