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Regular version of the site
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
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

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

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

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
Assessment Elements

Assessment Elements

  • non-blocking Home assignments
    40% (in total)
  • non-blocking Midterm
    25%
  • non-blocking In-class final test
    35%
Interim Assessment

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

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