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This course will cover popular research designs in applied microeconomics, from reduced-form approach to structural estimation. The first half of this course will be devoted to studying methodologies in reduced-form approach and the second half will be about structural estimation. Students must be familiar with at least one programming language of own choice (python, matlab, R, Julia, Fortran, C/C++) and statistical package (STATA, R) to solve problem sets in this course. The course will introduce various papers related to unobserved heterogeneity in applied microeconomics literature. Basic programming skills are needed for dynamic programming in this course.