MAGKS-Workshop: "Time Series Econometrics and Text Mining"

This course is organized within the MAGKS Programme https://magks.de.

However, GGS members are eligible to particpate as well. The obtained ECTS are also valid for GGS members who are not participants in the MAGKS-program. 

Aims

Time series represent an important class of data in different fields of applications including
macroeconomics, financial market economics, empirical political science, geography and many others.
The statistical modelling of these data differs substantially from the analysis of cross sectional data as
the explicit temporal structure has to be taken into account. Otherwise, relevant information content
might be lost and the risk of spurious or nonsense regressions arises. We will study principles of
univariate and, in particular, multivariate time series analysis. In addition, we consider a new class of
data, namely “text”, and how it might be used in econometric analysis, again with a focus on time
series.

Active participation in the PhD workshop will result in an overview on some central concepts of time
series analysis and text mining including aspects of their practical application. Participants will be able
to judge the appropriateness of empirical models applied to time series both in univariate and
multivariate settings. They can interpret findings resulting from time series analysis and might conduct
own analyses. Furthermore, they learn principles of translating text to data and how to make use of
text based indicators in a time series context.

You can find more details in the preliminary syllabus "Time Series Econometrics and Text Mining"