Bachelor
2020/2021
Applied Microeconometrics
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
HSE/NES Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Language:
English
ECTS credits:
6
Contact hours:
64
Course Syllabus
Abstract
The goal of this course is to familiarize you with a range of techniques used in applied microeconometrics and to practice conducting your own empirical research. The emphasis in the course will be on issues that arise in working with data and practical considerations in using various econometric techniques rather than their theoretical underpinnings. It is assumed that you already have a sufficient knowledge of the basic econometric theory.
Learning Objectives
- The main objective of the course is to prepare the students to do research and to provide them with essential tools to start working on their Bachelor’s thesis towards their diploma.
Expected Learning Outcomes
- Has a working knowledge of some of the main econometric tools helpful for understanding current empirical literature in economics
- Has an understanding of how the theoretical concepts are treated in applied econometrics, and have enough computational skills and familiarity with econometric software to implement their own empirical research.
Course Contents
- Introduction to causal inference. Potential outcomes approach. Randomized Experiments. Randomized inference. Externalities.
- Regression: agnostic and causal. Selection on observables. Omitted variable bias and bad controls. Matching. Propensity score methods. Synthetic controls.
- Measurement error in cross-section and in panel. Panel data. Fixed-effects and Firstdifferences estimators. Fixed effects vs Random effects. Incidental parameters problem. Difference-in-differences estimator. Non-standard standard errors.
- Instrumental Variables. Heterogeneity and Local Average Treatment Effect. Weak instruments.
- Regression discontinuity design. Sharp vs Fuzzy.
- Selection and count models
Interim Assessment
- Interim assessment (3 module)0.5 * Home assignments + 0.5 * Midterm
- Interim assessment (4 module)0.3 * In-class final test + 0.7 * Interim assessment (3 module)
Bibliography
Recommended Core Bibliography
- Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics : An Empiricist’s Companion. Princeton: Princeton University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=329761
- Jeffrey M Wooldridge. (2010). Econometric Analysis of Cross Section and Panel Data. The MIT Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.mtp.titles.0262232588
Recommended Additional Bibliography
- Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics : Methods and Applications. New York, NY: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=138992