Microeconometrics II - JCM030

• Title: Mikroekonometrie II
• Guaranteed by: CERGE (23-CERGE)
• Faculty: Faculty of Social Sciences
• Actual: from 2023
• Semester: summer
• E-Credits: 9
• Examination process: summer s.:
• Hours per week, examination: summer s.:4/2, Ex [HT]
• Capacity: 15 / unknown (20)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: 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; priority enrollment if the course is part of the study plan
• Guarantor: prof. Ing. Štěpán Jurajda, Ph.D.
• Teacher(s): doc. Nikolas Karl Mittag, Ph.D.
• Incompatibility : JCM042
• Pre-requisite : JCM002, JCM017, JCM021, JCM029
• Is incompatible with: JCM042

Descriptors

Last update: Mgr. Anna Papariga (24.01.2022)

The main topics of the class are econometric approaches to the problem of sample selection and (individual) heterogeneity. While the methods apply more generally, the class will focus on methods to address the selection problem from the program evaluation literature and place particular emphasis on heterogeneity in randomized control trials in the second part of the course.

Literature

Last update: Mgr. Anna Papariga (24.01.2022)

The class mainly relies on a reading list and articles that will be posted on CMS by the beginning of the term. The following books cover a few of the topics and provide good reviews of basic issues:

 

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

Deaton, A. (1997) The analysis of household surveys: A microeconometric approach to development policy, Baltimore and London: Johns Hopkins University Press for the World Bank.

Greene, William H. (2011) Econometric Analysis, 7th edition, Prentice Hall.

Wooldridge, J.M. (2002). Econometric Analysis of Cross Section and Panel Data. MIT Press.

Requirements to the exam

Last update: Mgr. Anna Papariga (24.01.2022)

50 % problem sets, 50% course project

Syllabus

Last update: Mgr. Anna Papariga (24.01.2022)

1. Sample Selection and its Consequences for Econometric Evaluations: Theory and Evidence
1. Evidence From Re-evaluating Random Control Trials
2. Theory: Counterfactuals, Causality, Models of Selection and Parameters of Interest
2. Methods to Address Sample Selection
1. Selection on Observables Only:

                                                              i.      Models of Selection, Control Function and Machine Learning Approaches

                                                            ii.      Matching, Synthetic Controls and Re-weighting

1. Allowing for selection on unobservables

                                                              i.      Randomized Control Trials

                                                            ii.      Quasi-Experiments and Instrumental Variables

1. Heterogeneous Treatment Effects and Their Implications:
1. IV with Heterogeneous Treatment Effects
2. Models of and Tests for Heterogeneity
2. Methods to Analyze Heterogeneous Program Effects in RCTs
1. Effects on Outcome Distributions
2. Distribution of Treatment Effects
3. Conditional Average Treatment Effects
3. Analyzing Heterogeneity in Observational Studies: Marginal Treatment Effects