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79219 - ANALISI DI DATI ECONOMICI TERRITORIALI

Academic Year 2021/2022

                
                        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)

                            Teaching resources on Virtuale

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:

- standardization and statistical measures

- graphical representation: working with shapefiles, thematic maps and diagram maps

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

Practical test to be performed on PC. It consists in the application of the methods described during the course to spatial data and answering some questions related to the empirical analysis.

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