Moses - Treatment Effect Analysis

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WS 2019/20 - SoSe 2023. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#70251 / #3

Validity:
WS 2019/20 - SoSe 2023

Default display language:
English

Module title:
Treatment Effect Analysis

Credits:
6

Responsible person:
Werwatz, Axel

Grading:
benotet

Type of exam:
Schriftliche Prüfung

Zugehörigkeit

Faculty:
Fakultät VII

Institute:
Institut für Volkswirtschaftslehre und Wirtschaftsrecht

Area of expertise:
37312100 FG Ökonometrie und Wirtschaftsstatistik

Prüfungsausschuss:
Volkswirtschaftslehre

Kontakt

Office:
H 57

Contact person:
Repasky, Tomas

E-mail address:
axel.werwatz@tu-berlin.de

Website:

http://www.statistik.tu-berlin.de

Learning Outcomes

An understanding of the predominant statistical model of causality. Knowledge of the definition and sources of selection bias. Understanding how randomized experiments in principle identify causality. A sound understanding of estimators of average causal effects based on non-experimental data, particularly their identifying assumptions and data requirements.

Content

Rubin Model of Causality, Roy Model, Causality and Regression Notation, Experiments, Conditional Independence, Matching, Regression, Heckman Switching Regression, Instrumental Variables, DID + Panel Methods, Regression Discontinuity Design

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Treatment Effect Analysis	VL	71 210 L 1619	SoSe	English	2
Treatment Effect Analysis	UE	71 210 L 1618	SoSe	English	2

Workload and Credit Points

Treatment Effect Analysis (VL):

Workload description	Multiplier	Hours	Total
Class attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	2.0h	30.0h
			60.0h(~2 LP)

Treatment Effect Analysis (UE):

Workload description	Multiplier	Hours	Total
Class attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	2.0h	30.0h
			60.0h(~2 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
Exam preparation	1.0	60.0h	60.0h
			60.0h(~2 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lecture and Exercise. Exercises take place at the computer lab where real or simulated data and the statistics software package STATA is used. An introduction to STATA will be given at the beginning of the course.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Econometrics - undergraduate level.

Mandatory requirements for the module test application:

1. Requirement

Modul70231 [Statistik I für Wirtschaftswissenschaften] passed

2. Requirement

Modul70232 [Statistik II für Wirtschaftswissenschaften] passed

Module completion

Grading

graded

Type of exam

Written exam

Language

English

Duration/Extent

90 Minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Please note the information on our website.

Recommended literature
Angrist, Joshua D. & Pischke, Jörn-Steffen (2009). Mostly Harmless Econometrics: An Empiricist's Companio, Princeton University Press
Lee, M.J., 2005, Micro-Econometrics for Policy, Program, and Treatment Effects, Oxford University Press
Schmidt, C. M., Fertig, M. (2007) Empirische Wirtschaftsforschung - Eine Einführung in die Identifikationsproblematik, Springer
Wooldridge, J.M. (2001). Econometric Analysis of Cross Section and Panel Data, MIT Press.
Wooldridge, J.M. (2006). Introductory Econometrics. A Modern Approach, 3e, Thomson South-Western.

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information

Treatment Effect Analysis