EIB E241 Development Economics: Policy Analysis
This course equips students for rigorous analysis of development problems and policies. During the first half of the semester, students gain proficiency with the analytical framework and tools that economists bring to their study of development in low and middle income countries. The framework is built on the foundation of basic microeconomic theory, but pays closer attention to complications that are important in poor places: transaction costs, risk and financing considerations, information problems, cooperation and coordination problems, institutional rules and norms, and insights from behavioral economics. During the second half of the semester, students learn an approach to systematic and comprehensive policy analysis that employs the analytical tools developed in the first half. Students develop their analytical instincts as they apply the approach to the study of policy questions involving targeted transfers, workfare, agricultural pricing and marketing, infrastructure, education, agricultural technology, microfinance, small and medium enterprise development, insurance and health. Open to students who have completed EIB E201 or EIB E211, or have passed the related equivalency exam. Syllabus_E241_Fall2016
EIB E213 Econometrics
This course introduces students to econometric methods, which are the primary tools of quantitative data analysis employed in the study of economic, social and political relationships, and in policy analysis and program evaluation. The course equips students with the facts, intuition, and experience necessary for critical reading of econometric research produced by others and for independent econometric research. It introduces students to the wide range of models that may be estimated using Ordinary Least Squares and probit estimation methods, and highlights the challenges of obtaining estimates that are unbiased and precise. It pays special attention to the approaches researchers use to obtain estimates that are free of omitted variables (or endogeneity) bias, including the use of randomized control trials and difference-in-differences, fixed effects and instrumental variables estimation. It also addresses problems associated with measurement error, heteroskedasticity, autocorrelation, and multicollinearity. Pre-requisites include knowledge of (1) basic probability and statistics (B205 or the equivalent), and (2) basic concepts of functions and derivatives (E210 or an introductory calculus course). SyllabusE213_Fall2016
If you plan to take E213 soon and would like access to the Trunk site so you can start working through the required stats and math review materials, please send me an email at Julie.Schaffner@tufts.edu.