ECONOMIC STATISTICS

Course objectives

The course aims to provide the student with a set of core competencies concerning the measurement and statistical analysis of economic phenomena, with particular reference to the macro level. At the end of the course, the student is going to have a suitable knowledge of the most important statistical methodologies adopted in the quantitative investigation of economic phenomena, from a theoretical as well as an applied point of view. Most notably, the student is going to achieve a good command of the research method and the techniques usually adopted in the analysis of economic phenomena, as well as the related practical and operational skills on data measurement, detection and processing, improving his ability to understand the functioning of the economic system. Finally, the student is supposed to be able in applying his knowledge into a real work environment, to fulfil tasks ranging from problem solving to the conduct of statistical surveys and the writing of reports in many application areas (including marketing research, advertising, and Web analytics).

Channel 1
ALESSANDRO POLLI Lecturers' profile

Program - Frequency - Exams

Course program
The course will address the following topics: 1. Theory of probability 2. Discrete and continuous random variables 3. Convergence 4. Random variable, sampling 5. Random variable, estimation 6. Parametric hypothesis testing 7. Ordinary least squares model
Prerequisites
The requirements needed to achieve the expected learning outcomes are an adequate knowledge of both basic mathematical methods (algebra, analysis, elements of integral calculus) and descriptive statistics.
Books
Freed N., Jones S., Bergquist T., Bonnini S. (2019), Statistica per le scienze economiche e aziendali, ISEDI Materiale fornito dal docente
Frequency
There is no obligation to attend, although attending the course contributes to the full achievement of the training objectives.
Exam mode
The student delivers a presentation on a topic agreed with the teacher. The evaluation criteria take into account: 1. Complexity of the topic; 2. Fluency of the presentation; 3. Use of appropriate technical terminology; 4. Examples of application in the real world.
Lesson mode
The course will take place in lectures for overall 48 hours, within which theoretical lessons will appropriately alternate with exercises and problem sets, aimed at consolidating and making all concepts learnt during the course fully operational.
  • Lesson code1017246
  • Academic year2025/2026
  • CoursePolitical science and international relations
  • CurriculumSingle curriculum
  • Year3rd year
  • Semester2nd semester
  • SSDSECS-S/03
  • CFU6