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#70224 / #2

WS 2019/20 - SoSe 2023

English

Seminar Productivity, Innovation, and Firm Performance

6

Cullmann, Astrid

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät VII

Institut für Volkswirtschaftslehre und Wirtschaftsrecht

37312100 FG Ökonometrie und Wirtschaftsstatistik

Volkswirtschaftslehre

Kontakt


H 57

Haring, Carola

a.cullmann@tu-berlin.de

Learning Outcomes

Globalization and the rapid development of information technology have created new opportunities for companies to organize their production processes (outsourcing, offshoring) and to enter new markets. However, they have also created new challenges for companies to compete internationally. For the success of the companies, it is therefore of great importance to gain and maintain high productivity and innovative capacity. The students are able to derive a research question in this context and present empirical and methodical work on the subject, in particular with the firm level data. The students are able to use economic theory is used to develop an econometric model and conduct analyzed with the software R. They use the empirical models to test statements about economic relationships. The empirical methods are based on linear regression, nonparametric regression, panel data models and efficiency and productivity measurment.

Content

Production Economics. Efficiency and Productivity Analysis . R Programming

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Productivity, Innovation and Firm PerformanceSEM71 21 L 51SoSeEnglish2

Workload and Credit Points

Productivity, Innovation and Firm Performance (SEM):

Workload descriptionMultiplierHoursTotal
Class attendance15.02.0h30.0h
Own work/Writing of a written report1.0120.0h120.0h
Pre/post processing15.02.0h30.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Seminar

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Statistics I and II Econometrics Microeconometrics

Mandatory requirements for the module test application:

1. Requirement
Modul70198 [Ökonometrie] registered

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
Presentation30oral30 min.
Seminar paper70written12-15 pages

Grading scale

This exam uses its own grading scale (see test description).

Test description (Module completion)

The portfolio examination consists of the following elements, adding up to maximum of 100 credits. The grading follows the joint conversion key of the School of Economics and Managment (decision of the school's council dated May 28, 2014 - FKR VII-4-8-28.05.2014).

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

The maximum capacity of students is 20.

Registration Procedures

See information on homepage and ISIS

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
Bogetoft and Otto (2011) Benchmarking with DEA, SFA and R , Springer-Verlag New York
Coelli, T.J., Rao, D.S.P., O'Donnell, C.J. und Battese, G.E. (2005), An Introduction to Efficiency and Productivity Analysis, 2nd ed., Springer Verlag
Hulten, C. R., Dean, E. R. und Harper, M. J. (2001) New Developments in Productivity Analysis University Of Chicago Press

Assigned Degree Programs


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

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

Miscellaneous

The seminar will be in englsich