Thomas Plümper

 

WU Wien Courses

 

 

Socioeconomic Research Design

 

The course helps students developing their own project and therefore combines elements of  my various Research Design courses and an Intro to Inferential Statistics element.

 

download 1: research design

download 2: introduction to regression

 

 

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Political Economy (Politik und Wirtschaft)

 

The course offers an introduction to modern political economy and explains the causes of consequences of globally interconnected states and markets. Based on a solid microfoundation, the course allows students to understand how political forces affect the choice of economic policies, especially as to distributional conflicts and political institutions.

 

political economy pt. 1

political economy pt. 2

political economy 2018 version (large file)

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Robustness Testing

 

The course introduces the logic of robustness testing based on the book project with Eric Neumayer. The course, firstly, develops the foundations of robustness, the causes and consequences of model uncertainty, the alternatives to robustness testing and their shortcomings, and the limits of robustness testing. It, secondly, goes in detail through all dimensions of modeling uncertainty, starting with population uncertainty, inclusion and exclusion of variables, concept and measurement uncertainty. In the third part, we discuss

uncertainties about specification issue such as functional forms, conditionality, dynamics, spatial dependence. The final section considers technologies for model averaging.

 

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Publishing in Academic Journals

 

download pdf

 

I taught this short course at various universities and occasions. It is based on the rather obvious assumption that when writing up research, form should follow function. This leaves little degrees of freedom for academic tests. The course has a main message: academic writing is communication.

 

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Empirical Quantitative Studies

 

download syllabus

download pdf  (work in progress!)

 

A course that discusses the validity of published quantitative empirical work - from measurement issues to causal inference. The course aims at developing an interest in quantitative research by demonstrating that quantitative research is not easy -- and that the validity of findings cannot be taken for granted. The course thus focuses on issues often avoided.

 

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Advanced Regression Analysis for the Social Sciences

 

download part 1

download part 2

 

The course discusses the logic and practice (and problems) of regression analysis -- OLS, MLE, model specification, identification, and techniques for causal inference. Part 1 discusses estimators and model specification, part 2 deals with techniques  which aim at improving the validity of inferences.

 

Thomas Plümper 2014-2019