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At the end of the course, …
… you will have the knowledge to:
identify, compare and contrast, and apply key concepts and theories in social networks;
… you will have the research attitude to:
discuss the value and challenges of using a social network approach in economic research;
be aware of ethical issues involved in the collection of social network data;
… you will have the skills to:
apply social network concepts, theory, and methodology in your own research;
gather and statistically analyze social network data;
use the software package UCINET to construct and analyze social network data.
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Who gets the job referral? Who gets the higher salary? How are one's attitudes shaped? What explains the existence of the so-called old-boys networks? These are all questions you will explore in the course Network Economics.
More specifically, in the course Network Economics, you will learn about the theories explaining the drivers and consequences associated with social capital. You will get an understanding of these topics from various angles within Business Economics. Additionally, you will get hands on experience with collecting and analyzing social network data.
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In this course, we take for granted that you are able to:
1) learn from published academic papers
2) have a working level of statistics (descriptive statistics, t-tests)
3) understand econometric output and conduct econometric analysis (cross sectional and panel data analysis)
4) handle and manage data (merging and appending data sets, generating new variables, etc)
5) dominate statistical software such as Stata, SPSS, Matlab, SAS, etc.
Additionally, since this is not a first year course, we expect you to be an independent problem solver and a motivated self-learner.
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All partial grades from the previous year transfer.
Make-up criteria only applies to the final exam and/or final report if you earn an insufficient grade in these part(s) of the course.
Contact the course coordinator on the first day of the block to indicate you are taking the course for a second (or higher) time.
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