Microeconometrics II: Policy Evaluation - JCM053

• Title: Mikroekonometrie II: Evaluace pravidel
• Czech title: Mikroekonometrie II: Evaluace pravidel
• Guaranteed by: CERGE (23-CERGE)
• Faculty: Faculty of Social Sciences
• Actual: from 2023
• Semester: winter
• E-Credits: 9
• Examination process: winter s.:
• Hours per week, examination: winter s.:4/2, Ex [HT]
• Capacity: unknown / unknown (unknown)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: not taught
• Language: Czech
• Teaching methods: full-time
• Teaching methods: full-time
• Note: course can be enrolled in outside the study plan; enabled for web enrollment
• Guarantor: doc. Nikolas Karl Mittag, Ph.D.
• Pre-requisite : JCM029

Descriptors

Last update: Mgr. Eva Kellnerová (13.09.2023)

The emphasis of the course is twofold: (i) to extend regression models in the context of cross-section and panel data analysis, (ii) to focus on situations where liner regression models are not appropriate and to study alternative methods. The course prepares you to discuss the estimation of causal parameters and program evaluation and to consider parameter heterogeneity in the second part of the sequence. Examples of applied work will be used throughout the course.

Literature

Last update: Mgr. Eva Kellnerová (13.09.2023)

The main textbook for the class is Econometric Analysis of Cross Section and Panel Data, J.M. Wooldridge, MIT Press, 2002. Additional references will be provided for the various topics.

 

Requirements to the exam

Last update: Mgr. Eva Kellnerová (13.09.2023)

20% problem sets, 30% midterm, 50% final, both exams are open-book, open-notes

Syllabus

Last update: Mgr. Eva Kellnerová (13.09.2023)

I Introduction

1 Causal Parameters and Policy Analysis in Econometrics

2 Reminder and Testing Issues

 

II Panel Data Regression Analysis

3 GLS with Panel Data: SURE, RCM, REF

4 E[u|x] is not 0: FEM and Errors in Variables

5 Testing in Panel Data Analysis: Clustering, Minimum Distance

6 GMM and its Application in Panel Data

 

III Qualitative and Limited Dependent Variables

7 Qualitative response models

9.1 Panel Data Applications of Binary Choice Models, Semi-parametric Models

9.2 Multinomial Choice Models

8 Duration Analysis

9 LimDep and Sample Selection

10 Program Evaluation, Matching and Local IV