ECONOMIC STATISTICS

Course objectives

Learning goals of the course is to provide students the main tools to measure economic aggregates and to compare economic data across time and space. Students also acquire knowledge of the most important data sources at national and international level. Knowledge and understanding. After taking the course the students know and understand the main problems in measuring economic variables and the methods to be used to solve them. Applying knowledge and understanding. After taking the course the students know how to solve the main problems in measuring economic variables. Making judgements. Students develop their critical skills through the analysis of real datasets. Communication skills. Students acquire the technical language, which must be used both in the written exam and in the (optional) individual project. Learning skills. Students passing the exam have acquired the ability to read and realise basic empirical economic studies. They learn practical data-analysis skills.

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VIVIANA CELLI Lecturers' profile

Program - Frequency - Exams

Course program
Types of Economic Data and Statistical Sources Types of economic data. Time series; cross-sectional data; panel data. Statistical sources and databases. National Accounts: Economic Accounts The logic of national accounting. Economic agents and aggregates. The structure of accounts. Comparison of Economic Aggregates Over Time Simple indices and growth arithmetic. Temporal price and volume indices: theory, methods, and properties. Procedures for deflating economic aggregates. Decomposition of time series: trend, cycle, and seasonality. The use of moving averages for decomposition. Comparison of Economic Aggregates Across Space Spatial indices. Purchasing power parity: properties and construction methods. Labor Market and Analysis of the Productive Structure Main labor market indicators. Labor productivity measures. Specialization and location of productive activities. BES
Prerequisites
Knowledge of the Italian language
Books
[1] Fachin S., “Appunti di Statistica Economica - a.a. 2021-2022”, Dispense ad uso didattico, Sapienza Università di Roma, 2022. [2] Bracalente B., “Appunti di contabilità nazionale”, Dispense ad uso didattico, Università di Perugia, 2008. [3] Bracalente B., “La comparazione degli aggregati economici nel tempo e nello spazio”, Dispense ad uso didattico, Università di Perugia, 2008.
Frequency
Attendance is not mandatory to pass the exam.
Exam mode
The exam includes a written exam. After the written exam, the grade will be communicated via Infostud email. The exam result will also be posted on the course's virtual bulletin board on the Moodle platform. If the grade is insufficient (below 18), the exam has not been passed. Passing the written exam allows admission to the oral exam, which consists of a discussion of the written exam. The oral exam takes place, if possible, within two days of the written exam.
Lesson mode
Teaching will be conducted exclusively in person in the designated university classrooms. The lessons will include explanations of the teaching materials and open discussions with students on the topics studied.
  • Lesson code98457
  • Academic year2024/2025
  • CourseStatistics for management
  • CurriculumSingle curriculum
  • Year1st year
  • Semester2nd semester
  • SSDSECS-S/03
  • CFU9
  • Subject areaStatistico, statistico applicato, demografico