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


ECONOMIC STATISTICS mutuato
STATISTICA ECONOMICA

A.Y. Credits
2019/2020 8
Lecturer Email Office hours for students
Edgar Javier Sanchez Carrera On appointment by email or at the end of classes

Assigned to the Degree Course

Economics and Management (L-18)
Curriculum: EUROPEAN ECONOMICS STUDIES (EES)
Giorno Orario Aula
Giorno Orario Aula

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

  • Questions for economic statistics
  • Concepts, definitions and fundamental classifications: the economic system; economic agents; economic aggregates; assessments at current prices and at constant prices.
  • Elementary statistical operations. Related changes. Average annual increase. Statistical reports: composition relationships, coexistence relationships, derivation ratios, excess indices.
  • Time index numbers. Construction and interpretation of simple and complex index numbers; chain index numbers. Consumer price index numbers. Inflation measures. The use of index numbers for comparisons between monetary aggregates.
  • Statistical Inference I. Dependency on average. Linear correlation.
  • Inflation and the value of money. The territorial comparison of monetary values. Real exchange rates. Exchange rates as territorial indices of the currency.
  • Databases. The international statistical system. The European statistical system and central banks. The national statistical system.
  • Structural statistics on companies and institutions. Short-term statistics. Statistics on consumption, wealth and poverty of Italian families. Monetary and financial statistics. National accounting.
  • Statistical Inference II. Linear regression function. Linear regression coefficients. Applications of the linear regression function.
  • 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


    Didactics, Attendance, Course Books and Assessment

    Didactics

    - Frontal lessons.

    - Exercises in the classroom.

    - Exercises at home.

    Attendance

    Highly suggested

    Course books

    Libro di riferimento:

    • S. Borra e A. Di Ciaccio, Statistica: Metodologie per le Scienze Economiche e Sociali 3/ED, McGraw-Hill, 2014, Capitoli 2, 3 ,4 ,5 ,6, 8 9, 10, 11, 12, 13, 16

    Approfondimenti (facoltativi):

    • E. Giovannini, Le statistiche economiche, 2006, il Mulino. Capitoli 1, 2, 3, 4, 5.
    • P. Chirico, LEZIONI DI STATISTICA ECONOMICA, 2013, G. Giappichelli Editore - Torino, Capitoli 1, 2, 3.
    Assessment

    Written exam consisting of four theoretical questions plus two exercises. The time available to complete the test is h. 01:10. 

    Additional Information for Non-Attending Students

    Didactics

    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 

    « back Last update: 11/07/19

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