000226L - MARKET ANALYSIS

courses

ID:

000226L

Duration (hours):

72

CFU:

SSD:

STATISTICA ECONOMICA

Located in:

PESCARA

Url:

Course Details:

ECONOMICS AND FINANCE/ECONOMIA E FINANZA Year: 1

Year:

2025

Course Catalogue:

https://unich.coursecatalogue.cineca.it/af/2025?co...

Date/time interval

Secondo Semestre (12/02/2026 - 12/05/2026)

Course Objectives

The training aim for the student is to reach the following learning outcomes:

Knowledge and ability to understand

The course aims to provide methodological and application advances of business survey methods. We also want to encourage students to specialize in the use of the open source statistical package R to select random samples and produce survey estimates.

Ability to apply knowledge and understanding

At the end of the teaching course, the student will also be able to select random samples and produce survey estimates with Design-Based and Model-Assisted methods. The acquired knowledge will allow him to estimate economic and / or business aggregates.

Course Prerequisites

The knowledge of Basic Statistical and Mathematical Techniques is requested.

Teaching Methods

Lectures.

R practice and exercises.

Assessment Methods

Knowledge and ability to understand

To verify the learning a test and an interview are scheduled. The test will consist of theoretical questions and empirical exercises on the whole program with particular attention to the use of the software R, simulating sample selection and estimation on real case studies. The final evaluation, expressed in thirtieths, takes into account both the test and the interview.

Ability to apply knowledge and understanding

During the test and the interview, students' ability to apply the knowledge of advanced survey methodologies is tested so as to be able to deal with specific case studies.

Texts

Course slides.

Further readings:

Sarndal, C. E., Swensson, B. and Wretman, J. (1992). Model Assisted Survey Sampling. Springer, New York, NY.

Concepts, definitions and nomenclatures

Typologies of surveys

Frame Set up

The questionnaires

Population and sampling

The characteristics of some sampling designs

Design-Based Estimation techniques The use of auxiliary information in the sampling estimate

Data Editing

Data dissemination

Course Language

Italian

More information

E-mail: benedett@unich.it

In the first semester the Professor sees students only by appointment (benedett@unich.it). In the second semester, the office hours for students is scheduled for Wednesday from 4 pm to 6 pm, studio DEC 2 ° floor, Viale Pindaro 42.