41924 - Statistical Methods for Economic Analysis

Learning outcomes

The knowledge of the fundamental tools of statistical inference - likelihood, estimation and hypothesis testing - for normal, binomial and Poisson models, regression models and generalized linear models.

Course contents

Statistical Inference: sampling, population model and parameters.

The exponential family

Estimation theory:

i) estimators and sampling distributions.

ii) Likelihood function and Fisher information.

iii) maximum likelihood estimators - method of the moments.

iv) confidence intervals

Hypothesis Testing:

i) errors of I and II type, significance level and p-value.

ii) Statistica tests for normal and binary models

iii) Statistica testsfor comparing the means of two populations

iv) Chi-square test for independence

v) Inference for the linear model

Readings/Bibliography

A. Azzalini (2001) Inferenza statistica: una presentazione basata sul concetto di verosimiglianza (2a ed.). Springer-Verlag Italia, Milano.

G. Cicchitelli, P. D'Urso e M. Minozzo (2017) Statistica - Principi e Metodi, 3 ed. Pearson Education

Teaching methods

Lectures, problem classes, homework.

Assessment methods

The exam consists of a written test of the subject matter.

 

 

Grades:

<18 fail

18-23 pass

24-26 satisfactory

27-28 good

29-30 very good

30 e lode excellent

Teaching tools

Notes, exercises and slides.

Office hours

See the website of Alessandro Baldi Antognini