- Docente: Anna Gloria Billè
- Credits: 6
- Language: Italian
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 6811)
Course contents
1. Basic statistics for data analysis in R and Introduction to R programming
2. Nonlinear models in regressors and marginal effects, Power transformations and difference in difference regression. Applications in R
3. Microeconometrics and Applications in R:
- discrete choice models
- count data regressions
- limited dependent variable models
- hurdle or two-part models
- SUR models
- spatial probit model
4. Panel Data models. Applications in R
5. MC simulations and Resampling methods. Applications in R
Readings/Bibliography
Cameron and Trivedi (2005), Microeconometrics: Methods and Applications. Cambridge.
Teaching methods
Lectures are carried out considering both theoretical/methodological and empirical aspects in economics, with the help of the statistical software R.
The used economic datasets are all available in R or provided by the Professor.
Assessment methods
Written exam
Teaching tools
PC; video projector.
https://site.unibo.it/tutela-promozione-salute-sicurezza/it/corsi-di-formazione/formazione-obbligatoria-su-sicurezza-e-salute-per-svolgimento-di-tirocinio-tesi-laboratorio
Office hours
See the website of Anna Gloria Billè