Università degli Studi di Cagliari
Using panel regression to compare US and China foreign direct investment patterns in Africa;
Regression discontinuities: A practical guide using case studies
22 giugno 2017
Nell’ambito del programma Visiting Professor 2017, il Prof. Adalbert F.X. Wilhelm (Jacobs University Bremen) terrà i seguenti seminari:
Using panel regression to compare US and China foreign direct investment patterns in Africa
22 giugno, ore 10-13, aula informatica Biblioteca Polo Economico, Via Sant’Ignazio 84
Chinese outward foreign directed investment (OFDI) has often been explained using the existing foreign direct investment theories, which were built on the observations, analysis, and conclusions from the West (Tsui, 2004). A special focus has been on the attraction of Chinese
investors towards – or their non-deterrence from – countries with relatively instable institutions.
This correlation is typically explained with the concept of institutional distance. Critiques of this explanation argue that such studies do not actually provide insight in the role of institutional distance (and therefore the uniqueness of the home country context of Chinese firms) for the location choices of Chinese firms because they use only a single reference country. In this study we aim to address this gap in the literature by comparing Chinese and U.S. investment patterns in Africa. Using a multi-level regression approach we fit panel models with random intercepts to account for unobserved heteroscedasticity in the receiving countries.
The topic will be illustrated by an interactive hands-on R session in which the empirical approach.
Regression discontinuities: A practical guide using case studies
4 luglio, ore 10-13, aula informatica Biblioteca Polo Economico, Via Sant’Ignazio 84
Implying causal relationships from observational studies requires some additional effort.
Regression discontinuity designs are a non-experimental method that has recently been widely used to tackle this problem in economics. In this talk, a general introduction to the method is given, major pitfalls will be discussed as well as relevant implementations in R and Stata will be presented.
Using cases studies from educational science as well as from economics, the methodological concept and its details will be presented. Practical exercises based on the use of R will foster the understanding of the methodological approach.