Applied Microeconometrics - JEM007

• Title: Applied Microeconometrics
• Guaranteed by: Institute of Economic Studies (23-IES)
• Faculty: Faculty of Social Sciences
• Actual: from 2018 to 2018
• Semester: summer
• E-Credits: 6
• Examination process: summer s.:
• Hours per week, examination: summer s.:2/2, Ex [HT]
• Capacity: unlimited / unlimited (97)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Note: course can be enrolled in outside the study plan; enabled for web enrollment; priority enrollment if the course is part of the study plan
• Guarantor: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D.
• Teacher(s): PhDr. Václav Korbel, Ph.D.; Mgr. Barbara Pertold-Gebicka, M.A., Ph.D.
• Class: Courses for incoming students

Annotation

Last update: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (08.09.2021)

COURSE RUNS IN TEAMS: https://teams.microsoft.com/l/team/19%3acbd96a9886e34cd9a5aa36929c1eed57%40thread.tacv2/conversations?groupId=677ffd4f-0449-4d72-82e7-5abc3b881bbd&tenantId=e09276da-f934-4086-bf08-8816a20414a2

This is a practical course in econometrics focused on econometric tools for cross-sectional and panel data that may be useful for policy analysis (for example, if your goal is to work for international organizations such as the OECD), firm-level data analysis (for example, we will learn how to analyze employee performance or what can be learned from consumer bahaviour), and research.
We will dir in week 2 (Thursday, February 27)

Course completion requirements

Last update: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (08.09.2021)

COURSE RUNS IN TEAMS: https://teams.microsoft.com/l/team/19%3acbd96a9886e34cd9a5aa36929c1eed57%40thread.tacv2/conversations?groupId=677ffd4f-0449-4d72-82e7-5abc3b881bbd&tenantId=e09276da-f934-4086-bf08-8816a20414a2

 

To pass the course students need to:

• Critically summarize one research topic (30 points)

 

   detailed setup will be announced on March 12, with deadline on March 26

  

   generally, the task will be to write a review of a specific research paper

 

• Complete a home assignment (30 points)

   detailed setup will be announced on April 9, with the deadline of April 23

   generally, the task will be to replicate an empirical research using available data

 

• Complete an Econometric Game - a project-based final exam (40 points)

 

   this is a take-home exam designed in a form of a short research preject. The setup will be anounced on May 6 and students will present the outcome of their analysis on May 13. Final projects in written form will be due on May 21, 2021.

Literature

Last update: PhDr. Petr Bednařík, Ph.D. (06.06.2020)

Cameron, Colin A. and Trivedi, Pravin K. (2005): Microeconometrics: methods and applications, Cambridge University Press

Cameron, Colin A. and Trivedi, Pravin K. (2009): Microeconometrics Using Stata, Stata Press

Manski, Charles (1995) : Identification Problems in Social Sciences, Harvard University Press, Cambridge, MA

Wooldridge, Jeffrey M. (2002): Econometric analysis of Cross-section and Panel Data, MIT Press

Syllabus

Last update: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (08.09.2021)

Lecture 1 (Tuesday, February 16, 12:30) - Introduction to the course, example of an empirical analysis   inspired by one research paper
Lecture 2 (Tuesday, February 23, 15:30) – Microeconometric analysis - data sources, usual empirical   problems, introduction to identification strategies

       Seminar 1 (Thursday, February 25, 15:30) - Introduction to Stata

Lecture 3 (Tuesday, March 2, 12:30) - Controlled experiments
Lecture 4 (Tuesday, March 9, 12:30) - Natural experiments I - difference-in-differences estimation

       Seminar 2 (Thursday, March 11, 15:30) - Applying difference-in-differences in practice

Lecture 5 (Tuesday, March 16, 12:30) - Difference-in-differences continued - triple difference, robustness
Lecture 6 (Tuesday, March 23, 12:30) - Synthetic control function

       Seminar 3 (Thursday, March 25, 15:30) - Applying synthetic control function in practice
 
Lecture 7 (Tuesday, March 30, 12:30) - Natural experiments II - natural experiments as instruments
Lecture 8 (Tuesday, April 6, 12:30) - Further issues with instrumental variable estimation

        Seminar 4 (Thursday, April 8, 15:30) - instrumental variable estimation in Stata, checking quality of instruments

Lecture 9 (Tuesday, April 13, 12:30) - Regression discontinuity - sharp
Lecture 10 (Tuesday, April 20, 12:30) – Regression discontinuity - fuzzy

       Seminar 5 (Thursday, April 21, 15:30) - applying regression discontinuity in practice - randomization checks, method choice, etc.

Lecture 11 (Tuesday, April 27, 12:30) – Matching models 
Lecture 12 (Tuesday, May 4, 12:30) -  Matching models

        Seminar 6 (Thursday, May 6, 15:30) – matching models in practice
       Seminar 7 (Thursday, May 13, 15:30) – Student presentations: final exam projects