My research explores issues in comparative and international political economy, particularly corruption, business-state relationships and entrepreneurship, and the development of Bayesian statistical tools for research purposes. To see a list of my current working papers and access the PDFs, see my
Google Scholar page. I am also the author of the
CoronaNetR R packages, and a founding PI of the
CoronaNet COVID-19 policy project. You can access my CV from
My book, Making Democracy Safe for Business: Corporate Politics During the Arab Uprisings, shows why corruption among business elites and government officials proved so durable after popular revolutions overthrew authoritarian Arab governments. Based on original survey research and on-the-ground interviews on campaign finance, bribery and business relations with government agencies in Egypt and Tunisia, the book helps us understand why corruption is such a threat to emerging democracies, and what we might be able to do to protect new democracies these threats.
Use discount code KUBINEC23 to get 20% off on the book from the Cambridge website.
This website serves mainly as a blog in which I present ideas on political-economic topics I study and issues related to data science with R/Rstudio and causal inference. My R-related posts are syndicated with RBloggers, a consortium of R bloggers.
Scroll down to see my recent blog posts.