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  1. Insegnamenti

509894 - ECONOMETRICS

insegnamento
ID:
509894
Durata (ore):
44
CFU:
6
SSD:
ECONOMETRIA
Anno:
2024
  • Dati Generali
  • Syllabus
  • Corsi
  • Persone

Dati Generali

Periodo di attività

Secondo Semestre (17/02/2025 - 24/05/2025)

Syllabus

Obiettivi Formativi

The objective of this course is to provide the students with sound knowledge of the theoretical foundations of econometric methods. The course will cover topics as models specification, assumptions and formal derivation, testing and interpretation. The course will focus mainly on the linear regression model. At the end of the course, students will be able to understand the inferential and interpretative aspects of the econometric approach to data analysis. Students will be able to specify, estimate and interpret regression models under various scenarios and to carry out hypothesis testing for the empirical validation of economic theories.

Prerequisiti

The course is meant to provide students with sound methodological knowledge of econometric methods. Necessary prerequisites are (i) familiarity with basic linear algebra: matrices and matrix operations; (ii) mathematical analysis tools: limits, derivatives, minima and maxima; (ii) familiarity with descriptive statistics and basic properties of probability, random variables and expectations.

Metodi didattici

Frontal lessons

Verifica Apprendimento

Students will be assessed via an individual 2 hours, closed-book written assessment. Students will be required to answer a total of 3 questions, choosing from a total of 6, each question carrying equal marks. The questions will be essay-type, as opposed to exercises, and will be based on the material taught in class, covering its whole breadth.

Testi

Russell Davidson and James G. MacKinnon (2004), Econometric Theory and Methods, New York, Oxford University Press, 2004. (freely available online)
Greene, W. (2012) Econometric Analysis. 7th Edition, Prentice Hall
Lucchetti (2022) "Basic Econometrics", (freely available online)

Contenuti

Regression Models
The Geometry of Linear Regression, including a review of matrix algebra
The Statistical Properties of Ordinary Least Squares
Hypothesis Testing in Linear Regression Models
Confidence Sets and Sandwich Covariance Matrices
Instrumental Variables Estimation
(The full program might be subject to changes)

Lingua Insegnamento

INGLESE

Corsi

Corsi

FINANCE 
Laurea Magistrale
2 anni
No Results Found

Persone

Persone

TRAPANI LORENZO
Settore ECON-05/A - Econometria
Gruppo 13/ECON-05 - ECONOMETRIA
AREA MIN. 13 - Scienze economiche e statistiche
Professore Ordinario
No Results Found
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