STATISTICAL METHODS FOR ECONOMIC-COMPANY ANALYSIS

Course objectives

Knowledge and understanding: students will be able to understand the mathematical and statistical tools necessary to perform a statistical analysis of cross-sectional economic data. Applying knowledge and understanding: students will be able to interpret the results of a statistical analysis of cross-sectional economic data. Making judgement: students will develop the ability to distinguish models that provide reliable and consistent results from fallacious ones. Communication skills: students will develop the ability to communicate the results of a statistical model. Learning skills: students will be able to learn the concept of effects of one or more variables on a phenomenon of interest, and the problem of its identification and estimation.

Channel 1
SERGIO PEZZULLI Lecturers' profile

Program - Frequency - Exams

Course program
The aim of the course is to provide students with the mathematical and statistical tools necessary to carry out a statistical analysis of sectional economic data and to be able to interpret the results. In addition to the fundamental concepts of probability, descriptive statistics, estimation theory and hypothesis testing, the course introduces the concept of analysis of the causal effects of one or more variables on a phenomenon of interest, and the problem of its identification and estimation. The course will focus mainly on the linear regression model and its estimation methods. In this context, the estimator of ordinary least squares will be introduced and its properties and necessary assumptions will be studied.
Prerequisites
no prerequisites
Books
J.H. Stock e M.W. Watson. (2016) Introduzione all’Econometria.Ed. Pearson. G. Cicchitelli. Statistica. Principi e Metodi. Pearson ed. 2017
Teaching mode
Front lessons
Frequency
Optional
Exam mode
Written work
Lesson mode
Front lessons
  • Lesson code10592587
  • Academic year2024/2025
  • CourseEconomics and management
  • CurriculumEconomia per l'impresa e le professioni (Percorso valido anche fini del conseguimento del doppio titolo italo-tedesco)
  • Year2nd year
  • Semester1st semester
  • SSDSECS-S/01
  • CFU6
  • Subject areaStatistico-matematico