This course provides the basics of the widely-used package Stata and the elements of statistical methodology required to understand the rationale behind the considered procedures.The aim of the course is twofold: a) provide students with a basic knowledge of a statistical software (Stata), b) develop skills needed to conduct standard analyses, and adequately interpret the results.
StataCorp (2017). Getting Started with Stata for Windows, Release 15. Stata Press.
Rabe-Hesketh S., Skrondal A. (2012). Multilevel and Longitudinal Modeling Using Stata. Stata Press.
Learning Objectives
The use of a statistical software is crucial for collecting, organising and interpreting numerical data. Within this framework, the course aims at providing the basics of a widely-used package like Stata, and use it to analyse and interpret the results of the main inferential techniques.In addition, the course provides some elements of statistical methodology required to understand the rationale behind the considered procedures of analysis. Lectures, group activities and computer tutorials are interconnected so that students can link the theoretical knowledge with the practical skills of performing statistical analyses using a computer.
Prerequisites
Basic knowledge of Statistics (descriptive statistics; linear dependence; regression model)
Teaching Methods
Lectures and tutorials in computer lab
Type of Assessment
Final exam with the computer. The examination concerns the statistical analysis of a dataset using the Stata software and the interpretation of the results obtained
Course program
Introduction to Stata, data management, graphs, summary statistics, confidence intervals and hypothesis testing, linear regression (estimation, inference, diagnostic tools), logit and probit regression for binary responses (estimation, inference, marginal effects), introduction to models for correlated data, in particular panel data.