85316 - Statistics and Data Analysis

Academic Year 2020/2021

  • Docente: Michele Costa
  • Credits: 6
  • SSD: SECS-S/01
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Law and Economics (cod. 9221)

Learning outcomes

The knowledge of the fundamental tools of statistical inference, OLS estimation and hypothesis testing, simple and multiple linear regression model.

Course contents

Statistical inference.

Hypothesis testing.

Confidence intervals.

Linear models and residual analysis.

Autocorrelation test: Durbin Watson and Breusch Godfrey.

Heteroskedasticity test: White test.

Readings/Bibliography

M. Verbeek, A guide to modern econometrics, Wiley.

Teaching methods

Lectures followed by in-class tutorials.

Case studies by using Excel and Gretl

Assessment methods

Oral exam.

Teaching tools

Notes, problems and solutions, cases study and examples, software open source Gretl on https://virtuale.unibo.it/

Office hours

See the website of Michele Costa