https://at-ceu.studyguide.timeedit.net/modules/ECBS5142?type=COREThe course starts with simple regression analysis, the method that compares expected y for different values of x to learn the patterns of association between the two variables. It discusses nonparametric regressions and focuses on the linear regression. It builds on simple linear regression and goes on to enriching it with nonlinear functional forms, generalizing from a particular dataset to other data it represents, adding more explanatory variables, etc. We also cover regression analysis for time series data, binary dependent variables, as well as nonlinear models such as logit and probit. The seminars will focus on selected case studies introduced in lectures. In classes, interpretation and coding solutions will both be discussed using Python.