SingleView of Module
Module (6 Credits)
Microeconometrics
- Responsible
- Prof. Dr. Daniel Kühnle
- Admission criteria
- See exam regulations.
- Workload
- 180 hours of student workload, in detail:
- Attendance: 60 hours
- Preparation, follow up: 60 hours
- Exam preparation: 60 hours
- Duration
- The module takes 1 semester(s).
- Qualification Targets
The students
- are able to understand and explain formal representations of empirical models
- are able to understand current developments in econometric methods based on their existing knowledge
- are able to independently analyse and evaluate the empirical literature on the basis of the methods they have learned
- can apply microeconometric methods appropriately to the problem at hand
- can carry out basic evaluations and analyses using STATA
- Relevance
In view of the increasing volume of microdata that is now being collected, it is becoming increasingly important to analyse this data in the area of energy trading.
- Module Exam
The module-related examination is performed by a written exam (usually 60-90 minutes).
- Usage in different degree programs
- Info for current semester
- Elements
Lecture (3 Credits)
Microeconometrics
- Organisational Unit
- Lehrstuhl für Volkswirtschaftslehre, insb. Arbeitsmarkt und Gesundheit
- Lecturer
- Prof. Dr. Daniel Kühnle
- Cycle
- summer semester
- SPW
- 2
- Language
- English
- Participants
Preliminary knowledge
Basic knowledge of multiple linear regression analysis
Abstract
Introduction to non-linear microeconometric models & estimation methods
Contents
- Questions of the empirical analysis
- Data bases and analysis methods
- descriptive and causal analysis
- the paradigm of experimental analysis and the problems of non-experimental data in the social sciences
- the problem of causal analysis using the example of the evaluation of economic and social policy measures
- non-linear statistical models and estimation methods
- Regression models as special cases of statistical models
- special microeconometric methods and models (linear panel models, models for discrete dependent variables, censoring, matching, duration analysis)
Literature
- Cameron/Trivedi, Microeconometrics
- Manski, Identification in the Social Sciences
- Wooldridge, Econometrics of Cross Section and Panel Data
Teaching concept
Lecture deals with 1. microeconometric models and 2. estimation methods in a theoretical way
Exercise (3 Credits)
Microeconometrics
- Organisational Unit
- Lehrstuhl für Volkswirtschaftslehre, insb. Arbeitsmarkt und Gesundheit
- Lecturer
- Prof. Dr. Daniel Kühnle
- Cycle
- summer semester
- SPW
- 2
- Language
- English
- Participants
Preliminary knowledge
Voraussetzung ist der Besuch der Vorlesung 'Mikroökonometrie'
Abstract
Praktische Übungen zu nichtlinearen mikroökonometrischen Modellen & Schätzverfahren.
Contents
Siehe Vorlesung.
Literature
Siehe Vorlesung.
Teaching concept
1. Übungsaufgaben zu ökonometrischen Modellen und Schätzverfahren mit konkreten Beispielen
2. Empirische Übungen am PC (Anleitung durch Übungsleiter zum selbständigen Arbeiten