Università degli Studi di Napoli "Parthenope"

  1. Teaching
  2. STATISTICS AND INFORMATION TECHNOLOGY FOR BUSINESS MANAGEMENT
  3. ECONOMIC STATISTICS

Stampa

ECONOMIC STATISTICS

Teaching schedule

Academic year: 
2016/2017
Belonging course: 
Course of Bachelor's Degree Programme on STATISTICS AND INFORMATION TECHNOLOGY FOR BUSINESS MANAGEMENT
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Language: 
Italian
Credits: 
9
Year of study: 
3
Teachers: 
Dott. REGOLI Andrea
Cycle: 
Second semester
Hours of front activity: 
72

Language

Italian

Course description

a) Knowledge and understanding: at the end of the course, students know: i) the main macroeconomic aggregates and their relationships, ii) the methods for making temporal and/or spatial comparisons through the index numbers; iii) the methods for studying the life conditions of a population; iv) the methods for analysing panel data. b) Applying knowledge and understanding: at the end of the course, students can: i) place the macroeconomic aggregates in the framework of the national accounts; ii) use the index numbers to distinguish between volume and price increases; iii) derive inequality and poverty measures; iv) estimate models for panel data. c) Making judgements: students must read the result from observed as well as estimated data and show their ability to interpret them correctly with the aim of developing independent judgments. d) Communication skills: students must prove to know how to describe and summarise methods and results.

Prerequisites

Students need to have passed the exam in Statistics.

Syllabus

Part I (approx. 12 hours): The economic system. The European System of Accounts (SEC 2010).Main aggregates of National Accounting System. GDP. Productivity measures.
Part II (approx. 16 hours): Index numbers for spatial and temporal comparisons. Elementary and aggregate index numbers. Price and quantity indexes. The main index numbers disseminated by ISTAT.
Part III (approx. 12 hours): Models for panel data: fixed effects and random effects models Part IV (approx. 12 hours): Concentration analysis: Gini index and other inequality measures.
Part V (approx. 10 hours): Analysis of consumption and income. Analysis of life conditions: poverty measures.
Part VI (approx. 10 hours): Beyond GDP: measuring well-being.

The following topics are covered: index numbers for spatial and temporal comparisons; economic inequality; analysis of life conditions through poverty measures; main aggregates of National Accounting; well-being; productivity; theory and applications of models for panel data.

Teaching Methods

Lectures, with some practice exercises with the personal computer using Excel and R.

Textbooks

- Lequiller, F. and D. Blades (2014), Understanding National Accounts: Second Edition, OECD Publishing.
- OECD (2015), In It Together: Why Less Inequality Benefits All, OECD Publishing, Paris.
- Materials provided by the teacher.
Further references will be suggested at the beginning of the course. They will include also documents available for download from Istat, Eurostat and OECD websites.

Learning assessment

Oral examination. Oral examination is considered to be the most suitable way to evaluate the acquisition of knowledge of the main sources of economic information, the ability to understand and apply the statistical tools for their analysis and the communication skills.

More information

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