E360 Stata: Regression Analysis with Historical Data

Content

Since the 1960s, statistical analysis of historical data has become far more prominent in the field of economic history. Conventional descriptive methods, such as the specification of frequencies, averages, etc., are now generally supplemented by inductive statistics which deal with the derivation of deeper relationships between economic variables. Since statistical conclusions are easily misunderstood when results are portrayed inappropriately or when misguided methods are followed, this course aims to instill a sense of statistical literacy and enable students to better judge the results of others as well as their own. Stata has become a standard tool in the arsenal of any economist and is widely applicable for statistical analyses in general. Inter alia, the following topics are covered in this course: Data management, OLS-, logit- and panel analysis. In a short practical assignment, students will have the opportunity to apply some of these techniques.


Key facts about the course

ECTS-Credits

6

 

Level

B.Sc.

Degree

Workload

30/150

class/self

Cycle

WS, SS

generally

Course language

ENG

 

Duration of the module

1

term

Exam written

60

minutes

Maximum Student number

28


Objectives

In this course, students will learn basic and somewhat more advanced methods that are used in statistical analysis, and apply these to historical economic data sets. As a result, students will gain certain insights into theoretical statistics and develop skills in its concrete practical application.

 


Registration

Necessary!

Registration period: 11.09. - 14.10.2023

Type of registration: online form
(here available during the registration period)
Please note: Confirmation e-mails are not sent!

Course work

practical assignment (required - not graded)

Course type

Lecture incl. practice course (2 SWS)

Literature

Will be announced.

 

Exam

Registration: not necessary
With acceptance to the course you are registered. You have to deregister, if you will not attend.


Course can be taken as part of the following programs/modules:

International Economics

  • Focus Module Applied Economics
  • Focus Module Elective Studies

 

International Business Administration

  • Focus Module Elective Studies

Economics and Business Administration - Type Economics

  • Focus Module Applied Economics
  • Focus Module Elective Studies

Economics and Business Administration - Type Business Administration

  • Focus Module Elective Studies