Advanced data analysis

A.A. 2021/2022
3
Crediti massimi
20
Ore totali
SSD
INF/01
Lingua
Inglese
Obiettivi formativi
The purpose of this course is to introduce students to basic programming in Stata and to provide guidance on data management strategies for socio-economics data. The course will focus on command-based programming for modifying and managing data and performing statistical analysis in Stata.
Risultati apprendimento attesi
By the end of the course students will be able to comfortably navigate the Stata environment, create simple datasets, access existing datasets, create variables, use graphing functions, run commands to calculate summary statistics as well as inferential statistics, including simple and multiple regression.
Programma e organizzazione didattica

Edizione unica

Responsabile
Periodo
Secondo trimestre
In case the Covid emergency prevents lectures from being given in class, these will be delivered live via the Microsoft Teams according to the regular schedule. The teaching modality (in class vs. online) and the instructions for attending classes will be advertised on the course web page.

The syllabus and the reference material will not change.

The methods of assessment and the evaluation criteria will not change.
Programma
Introduction to Stata
· Data management
· Working with Data
· Bivariate Analysis and Hypothesis testing
· Graphics
· Simple Reression
· Multiple Regression
· Regression Diagnostics
· Non linear Regression
· Robust Regression
Prerequisiti
Mathematics and Statistics
Metodi didattici
The students will use a computer during the lectures. Every session will intermix the presentation of syllabus topics followed by examples and in class exercises. Optional group work will be offered to get familiar with the software and increase practical skills.
Materiale di riferimento
Hamilton, L. C., Statistics with STATA: Version 12, 8th Edition, Cengage, 2012 (Chapter 1,2,3,5,6,7,8)
· Stock J., Watson M. (2010) Introduction to Econometrics, 3rd Edition, Addison-Wesley, Pearson (Chapters 6,7,8,9)
· Additional materials (slides, exercises, example) in the ARIEL website
Modalità di verifica dell’apprendimento e criteri di valutazione
The exam consists in a project assignment and brief oral discussion.
The project will involve identifying a dataset, developing research questions, and using the skills learned in the class to answer the research questions. It will include a brief introduction, a methods section, a section on results, graphic representations of the sample and/or results, and a brief discussion. All assignments must be submitted via email (dataset, script, and pdf) and via Compilatio.net to review for plagiarism (only pdf). During the oral discussion students must present the project and discuss the results.
INF/01 - INFORMATICA - CFU: 3
Informatica di base: 20 ore
Docente: Salini Silvia
Docente/i
Ricevimento:
A partire dal 20 settembre 2021 il ricevimento sarà in presenza il martedì dalle 10.30 alle 12 e il venerdì dalle 10.30 alle 12.00. In caso i necessità è possibile prendere appuntamento, nei medesimi orari, per il ricevimento via Teams.
DEMM, stanza 30, 3° p