D90035 - ECONOMIC STATISTICS

courses

ID:

D90035

Duration (hours):

72

CFU:

SSD:

Statistics for Economics

Located in:

REGGIO DI CALABRIA

Url:

Course Details:

Economic Sciences/Economico - giuridico Year: 2

Year:

2025

Date/time interval

Primo Ciclo Semestrale (01/10/2025 - 05/12/2025)

Course Objectives

The aim of the economics statistics course is to provide students with the tools to analyze issues of economic interest through data analysis. To this end, after reviewing probability and statistics, the first part of the course is devoted to the study of the linear regression model with single and multiple regressors. In addition, nonlinear regression functions and the evaluation of studies based on multiple regression will be studied. Finally, the study of time series and regression techniques with panel data will be explored in depth.

Dublin Descriptors:

Knowledge and understanding;
Applying knowledge and understanding;
Making judgments;
Communication skills;
Learning skills.

Course Prerequisites

Elements of basic mathematics and statistics.

Teaching Methods

Ex cathedra lectures.
Guided exercises.

Assessment Methods

The exam is divided into two distinct moments:

A two-hours written test where problems relating to the program carried out are proposed.
An oral interview (optional).

Access to the oral interview is subject to passing the written test.

Texts

J.H. Stock e M.W. Watson, Introduzione all'Econometria, 4ed, Pearson Italia

Part 1. Introduction and review

Economic questions and economic data
Probability review
Statistics review

Part 2. Fundamentals of regression analysis

Linear regression with a single regressor
Regression with a single regressor: hypothesis testing and confidence intervals
Linear regression with multiple regressors
Hypothesis testing and confidence intervals in multiple regression
Nonlinear regression functions
Evaluation of studies based on multiple regression

Part 3. Further developments in regression analysis

Regression with panel data

Part 4. Regressions for economic time series

Introduction to time series regressions and forecasting

More information

Evaluation Criterie

Com

30 cum laude: complete, in-depth and critical knowledge of the topics, excellent language skills, complete and original interpretative ability, full ability to independently apply knowledge to solve the proposed problems;
28 - 30: complete and in-depth knowledge of the topics, excellent language skills, complete and effective interpretative skills, able to independently apply the knowledge to solve the proposed problems;
24 - 27: knowledge of the topics with a good degree of mastery, good command of the language, correct and sure interpretative ability, good ability to correctly apply most of the knowledge to solve the proposed problems;
20 - 23: adequate knowledge of the topics but limited mastery of the same, satisfactory language skills, correct interpretative ability, more than sufficient ability to independently apply the knowledge to solve the proposed problems;
18 - 19: basic knowledge of the main topics, basic knowledge of the technical language, sufficient interpretative ability, sufficient ability to apply the acquired basic knowledge;
Insufficient: does not have an acceptable knowledge of the topics covered during the Course