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This entry is from Winter semester 2022/23 and might be obsolete. No current equivalent could be found.

(dt. Mikroökonometrie)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
Credit points,
formal requirements
6 CP
Course requirement(s):
Examination type: Written examination
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Administration.
Person in charge of the module's outline


Qualification Goals

The module is designed to give participants an overview of basic models and methods for analyzing microeconometric data and to enable them to perform such analyses using software such as STATA. Given the abundance of methods, assessing which model or method is adequate for a specific data set and what their capabilities, but also limitations, are represents a key learning objective.

In the first part of the course, basic properties of linear regression in cross-sectional data are recapitulated, focusing on the endogeneity problem. In this part, the theory of maximum likelihood estimation is also discussed. The second part deals with regressions of cross-sectional data under restrictions on the explained variable, which includes binary regression (logit/probit) as well as Tobit regression and the Heckman method in the presence of sample selection bias.

The third part deals with the estimation of models for panel data. In particular, fixed- and random-effects models and their estimation are covered. The fourth part discusses quantile regression and Cox proportional hazard regression of survival analysis.




Module imported from M.Sc. Business Administration.

When studying M.Sc. Business Mathematics, this module can be attended in the study area Applied Modules in Business Mathematics.

Recommended Reading

(not specified)

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2022/23. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.