- Docente: Pinuccia Pasqualina Calia
- Credits: 6
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 8876)
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from Feb 13, 2023 to Mar 16, 2023
Learning outcomes
The course aims to provide basic knowledge on the characteristics and treatment of spatial data with regards to economic phenomena. Students are introduced to the use of software for the application of statistical methods and techniques for the analysis and representation of territorial economic phenomena. At the end of the course, the student will be able to process the socio-economic databases at a territorial level and analyze and interpret spatial economic phenomena.
Course contents
Spatial statistical data: sources and databases. Classifications.
Descriptive analysis for areal data:
- standardization and statistical measures
- graphical representation: working with shapefiles, thematic maps and diagram maps; other graphical representation.
Indices: concentration index, location and specialization indices.
Spatial autocorrelation: measuring spatial neighbouring, spatial weighs matrices, global and local autocorrelation indices. .
Regression with spatial effects.
Readings/Bibliography
Lecture notes and papers provided through the e-learning platform https://virtuale.unibo.it/.
Information on textbooks or other bibliographic material will be indicated by the teacher during the course.
Teaching methods
Lectures
Computer sessions for data analysis using statistical software (R/Stata).
Assessment methods
The exam will consist in a written report plus an oral exam:
- the written report, to be done individually, focus on the empirical analysis of a case study to be agreed with the teacher and to be delivered at least 3 days before the oral exam.
- the oral exam focus on the presentation and discussion of the case study analysis and some questions on the contents of the course.
Teaching tools
Materials will be provided through the e-learning platform (VIRTUALE):
- Lecture slides and notes
- Useful readings (articles, book chapters, etc.)
- Data and codes for Stata tutorials
Materials will be provided and integrated throughout the course.
Office hours
See the website of Pinuccia Pasqualina Calia