Quantitative Methods

3 Credits · Level: Graduate, Undergraduate

The increasing availability of individual, household, and enterprise survey data has fueled not only a greater role for applied econometrics in guiding development policy but also a new demand for practitioners and scholars who have the capacity to produce this type of quantitative analysis. The purpose of this course is to equip you with the tools necessary to tackle projects involving the empirical analysis of development issues that you might encounter in a professional environment. You will become fluent in Stata’s intuitive language and learn how to manage data, conduct regression analysis, document your work for publication, and more. Several popular databases will be incorporated into the course, including World Bank Enterprise Surveys and USAID’s Demographic and Health Surveys. The course will be taught with lectures, journal articles, and class discussions in combination with weekly Stata assignments.