The Summer Course in Statistical and Econometric Analysis of Network Data provides students with the knowledge and skills to analyze the role of networks in diverse social and economic environments. Participants will delve into recent econometric methods specifically designed for analyzing network data, recognizing the growing significance of networks in social, business, and economic contexts. The course acknowledges the increasing importance and accessibility of network data, attributed to the surge in online social media usage and digitization.

The goal of this course is to provide you with a quick but solid introduction to a theoretical foundations of machine learning.

Through a mixture of theory and substantive applications, this short course will introduce you to important issues that are typically ignored in the first course in causal inference.