APPLIED ECONOMICS AND ECONOMETRICS
Stampa
Anno immatricolazione
2018/2019
Anno offerta
2018/2019
Normativa
DM270
SSD
SECS-P/01 (ECONOMIA POLITICA)
Dipartimento
DIPARTIMENTO DI SCIENZE ECONOMICHE E AZIENDALI
Corso di studio
ECONOMICS, FINANCE AND INTERNATIONAL INTEGRATION - ECONOMIA, FINANZA E INTEGRAZIONE INTERNAZIONALE
Curriculum
Finance
Anno di corso
Periodo didattico
Secondo Semestre (18/02/2019 - 18/05/2019)
Crediti
9
Ore
66 ore di attività frontale
Lingua insegnamento
English
Tipo esame
SCRITTO
Docente
CASTAGNETTI CAROLINA (titolare) - 9 CFU
Prerequisiti
Prerequisite is an introductory course in Econometrics
Obiettivi formativi
The course will focus on microeconomic data models. Analysis will be undertaken on cross section, qualitative and panel data. Illustrative examples and data sets are taken from the finance and microeconomics area.

In the course we will go through the steps of obtaining and coding data for use in an analysis. Students will become reasonably proficient in the use of STATA, a computer program which will be used extensively in the course.
Programma e contenuti
This course covers a number of advanced techniques frequently encountered in applied econometric analysis oriented towards the analysis of cross-section and panel data. Important estimation frameworks such as GLS, IV/2SLS, GMM, Heckman correction and maximum likelihood will be discussed throughout the course.

We begin with a review of the multiple regression model with a look at the following issues: endogeneity of regressors due to omitted variables, measurement errors and simultaneity bias. We will address the issue of efficient estimation in the presence of heteroskedasticity and autocorrelation (GLS and FGLS) and how to build up robust standard errors and appropriate test statistics when the errors are not spherical. We then proceed to microeconomic data models. In particular, we introduce models with limited dependent variables: binary choice and multinomial models. Ordered, sequential and ranked outcomes. Sample selection models. We then introduce models for panel data: fixed effects, random effects, random coefficients models. We also plan to cover dynamic linear panel data models.
Metodi didattici
Frontal Lessons
Testi di riferimento
J.M. Wooldridge, Introductory Econometrics: A Modern Approach, 2nd edition, Chapters 2-5, 7, 13-15,17.

M. Verbeek, A Guide to Modern Econometric, Chapters 7,10.

J.M. Wooldridge, Econometric Analysis of Cross Section and Panel Data, Chapters 10-11.

W.H. Greene, Econometric Analysis, 7th edition, Chapters 8, 11, 13-14.
Modalità verifica apprendimento
written exam
Altre informazioni