Econometrics 2

Academic Program: 
Course Term: 
1st year
Term: 
Winter
Credits: 
5.0
ECTS credits: 
10.0
Status: 
Core
Course Description: 

Econometrics 2 provides the basic tools of applied econometric analysis. The course is based on regression analysis (covered in Econometrics 1), and gives a thorough introduction to the problem of endogeneity with possible treatments, time series regressions, linear panel models, and nonlinear probability and censored outcomes models.

Learning Outcomes: 

Successful completion of the course enables students to

  • Understand how econometric methods are used to estimate causal relationships from observational data.
  • Possess a critical understanding of identification and estimation problems in economics and other social sciences.
  • Formulate simple research questions and carry out independent analyses in order to answer those. Argue for and against endogeneity of right-hand side variables.
  • Prove consistency or find asymptotic bias of estimators. Understand the logic of sampling variance and distribution of estimators.
  • Understand the properties of specific time-series.
Assessment: 

Problem sets — 10%,

term paper — 25%,

final exam — 65%

Prerequisites: 

Econometrics 1

File Attachments: