Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


ECONOMIC STATISTICS mutuato
STATISTICA ECONOMICA

A.Y. Credits
2022/2023 8
Lecturer Email Office hours for students
Francesco Vidoli On appointment by email or at the end of classes
Teaching in foreign languages
Course with optional materials in a foreign language English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language.

Assigned to the Degree Course

Economics and Management (L-18 / L-33)
Curriculum: European Economics Studies (EES)
Date Time Classroom / Location
Date Time Classroom / Location

Learning Objectives

Economic statistics study the analysis of economic phenomena. It is a statistic that aims to help the public decision-maker, to understand what the economic condition of the country is. The course aims to gradually introduce students to the formalism, the terminology and tools for the knowledge of measurement systems and statistical analysis of the main phenomena of our economic system. The program is ideally divided into nine parts ranging from the indication and explanation of the statistical tools used in economics, to the presentation of economic theories that influence the behavioral and decision-making models of economic agents. At the end of the course, students will be able to quantify the main economic phenomena and compare the most widely used measurement methods at the international level.

Program

The demand for economic statistics
Descriptive, inferential and economic statistics

DESCRIPTIVE STATISTICS

  • Data, Types of variables, Scales of measurement, Population and sample, Parameters and statistics, Descriptive statistics and inference, Statistical surveys and sampling
  • Frequencies and graphical representation
  • Measures of central tendency and variability
  • Correlation and dependence
  • Exploratory data analysis

INFERENTIAL STATISTICS

  • Probability
  • Random variables
  • Sampling
  • Point and interval estimation
  • Statistical tests
  • Linear regression and inference

NATIONAL ACCOUNTING

  • Concepts, definitions and basic classifications of national accounting: The economic system; Economic agents; Economic aggregates
  • Time series. Simple and complex index numbers. Measures of inflation. Deflation.
  • The main producers of economic statistics. The international statistical system. The European and central banking statistical system. The national statistical system
  • Structural statistics on companies and institutions. Short-term statistics. Statistics on consumption, wealth and poverty of Italian households. Monetary and financial statistics

Learning Achievements (Dublin Descriptors)

At the end of the course, students will be able to manage the acquired techniques of economic statistics concerning different economic agents and sectors: consumers, firms, industry associations and governments.

Knowledge and Understanding: at the end of the semester students are expected to know statistical methods by means of which they will be able to analyze economic systems. Further, they will learn how to find information from several statistical sources and how to manage it.

Applying Knowledge and Understanding: students will be able to make inference by means of quantitative methods and to evaluate their efficacy.

Making Judgements: students will be able to analyze information to solve several types of problems, to choose the most appropriate method and to evaluate the soundness of found solutions.

Communication Skills: students will learn how to present results from their analyses by means of short reports and graphics. They will learn to work together and present their statistical analysis.

Learning Skills: students will be able to apply technical knowledge acquired in other courses and integrate them with skills that they will learn during this course.

Teaching Material

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

Supporting Activities

Integrated with slides


Teaching, Attendance, Course Books and Assessment

Teaching
  • Frontal lessons
  • Exercises in the classroom
  • Exercises at home
Attendance

Highly suggested

Course books

Reference book:

  • S. Borra e A. Di Ciaccio, Statistica: Metodologie per le Scienze Economiche e Sociali 4/ED, McGraw-Hill, 2021, Capitoli 1, 2, 3, 4 ,5 ,6, 8, 9, 10, 11, 12, 13, 14, 16, 17

Insights (optional):

  • E. Giovannini, Le statistiche economiche, 2006, il Mulino. Capitoli 2, 3, 4
Assessment

Written exam and potential subsequent oral examination. The time available to complete the test is h. 01:30. 

Disability and Specific Learning Disorders (SLD)

Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

Additional Information for Non-Attending Students

Teaching

There are no changes in the conditions for non-attending students 

Attendance

There are no changes in the conditions for non-attending students 

Course books

There are no changes in the conditions for non-attending students 

Assessment

There are no changes in the conditions for non-attending students 

Disability and Specific Learning Disorders (SLD)

Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

« back Last update: 27/06/2022

Il tuo feedback è importante

Raccontaci la tua esperienza e aiutaci a migliorare questa pagina.

Posta elettronica certificata

amministrazione@uniurb.legalmail.it

Social

Università degli Studi di Urbino Carlo Bo
Via Aurelio Saffi, 2 – 61029 Urbino PU – IT
Partita IVA 00448830414 – Codice Fiscale 82002850418
2024 © Tutti i diritti sono riservati

Top