Economic statistics is a topic in applied statistics that concerns the collection, processing, compilation, dissemination, and analysis of economic data. The data of concern to economic statistics may include those of an economy of region, country, or group of countries.
The aim of the course is to provide a coherent framework of knowledge and statistical analysis of collective economic phenomena.
Specific objectives can be considered as follows: I) to study problems and methods for measuring transactions carried out by collective economic actors; II) to provide some essential tools for studying economic dynamics in time and space; III) to introduce quantitative analysis of some important economic phenomena through aggregated and disaggregated models.


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Part One. Basic concepts. The European System of Economic Accounts (ESA). ESA 2010 innovations. Aggregate accounts (current accounts, accumulation accounts, balance sheets). Statistical measures of production’ factors (capital and labour). Production function and productivity.

Part Two. Index Numbers: definition, methods and properties, consumer price index . Dynamic and static spatial analysis of economic-productive phenomena. Definitions and measures of inequality and poverty. The measurement of well-being.

Core Documentation

Cesare Piacentino, Elementi di Statistica Economica e Contabilità Nazionale, Aracne, Roma, 2009:
cap. 1, 2 cap. 5 § 5.1 § 5.2 § 5.5, cap. 3, 6

Enrico Giovannini, Le statistiche economiche, Il Mulino, Bologna, 2006
Vincenzo Siesto, La contabilità nazionale italiana, Il Mulino, Bologna, 2003

Reference Bibliography

Amartya K. Sen La diseguaglianza. Un riesame critico, Bologna, Il Mulino, 1992. Raymond W. Goldsmith A Perpetual Inventory of National Wealth, New York, NBER, 1951.

Type of delivery of the course

Lessons and exercises in the classroom and computer lab. Part of the exercises will be dedicated to the knowledge of online statistical sources, to automatic processing tools for the calculation and presentation of an economic analysis in the format of a scientific poster.


If the student chooses to attend the lessons he will have the opportunity to acquire in the classroom the tools for the empirical analysis of the methodologies that have been presented.

Type of evaluation

The examination consists of two written tests, one for the first part of the programme and another for the second part, followed by an oral test to verify the results of training obtained. The second part may alternatively also be supported orally in the same day or in another day. The written tests, together with the oral test, will help to determine the final mark. The oral examination will be taken during one of the examination sessions. The written tests passed are also valid for the exam sessions of the following academic year. The written test consists of exercises and open questions. The exercises concern the determination of the value of economic aggregates, index numbers or statistical reports according to the topic addressed. The student can prepare himself by using the exercises booklet and also following the exercises in the classroom. The open questions require the student to illustrate statistical-economic concepts and definitions adopted by official statistics as well as the analytical formulations that allow to proceed to the statistical measurement of the phenomenon. The duration of the written test is 1 hour and 30 minutes. Only students with a mark of 18/30 or more in the written test will be admitted to the oral test. The oral test consists of questions on the scheduled subjects aimed at verifying the knowledge of concepts, definitions, classification systems, statistical reference sources and statistical tools for the statistical measurement of economic phenomena. The overall final mark is given by the average of the marks from the written and oral parts. The students attending the course can take a written test of verification on the first part of the program during the teaching period and present a project of statistical analysis in the classroom. The statistical analysis project is developed in a group of 2-3 people under the supervision of the professor and, if approved, adds 2/30 to the final grade. Students who do not attend can take the exams during the sessions.