Микроэконометрика качественных данных
- The main goal of the course is to explore methods of analyzing microeconomic data. This includes estimating binary choice models and truncated regression models on the basis of statistical software package. Students will know the areas of application of the studied models, as well as the methods of checking the adequacy of these models with real data. Prerequisites are probability theory, statistics and econometrics.
- Students should be able to estimate and interpret probit and logit models as well as marginal effects.
- Students should be able to use weighted least squares method to estimate probability under various assumptions about the distribution of random errors.
- Students should know when to apply Minimum Chi-square method and how to interpret the results.
- Students should be able to estimate multinominal logit and probit models
- Students should be able to estimate Tobit and Selection models
- Binary choice models
- Ordered choice models
- System of binary choice equations with correlated errors
- Truncated and censored regression models
- Multiple choice models
- Individual home task
- Final written exam for 80 minutesExam will be carried out in LMS. Students must have personal computer with internet access to download individual tasks. Exam will be in an open book format.
- Interim assessment (4 module)0.3 * Final written exam for 80 minutes + 0.7 * Individual home task
- Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics : Methods and Applications. New York, NY: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=138992
- A. Colin Cameron, & Pravin K. Trivedi. (2010). Microeconometrics Using Stata, Revised Edition. StataCorp LP. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.tsj.spbook.musr