The course is divided in two parts: the first one aims to provide the students with the basics of Stata software, while the second aims to refresh the most common inferential methodologies (Anova, regression models) and apply them through the software
" Getting Started with Stata for Windows"
Publisher: Stata Press - ISBN-13: 978-1-59718-084-9
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.
Prerequisites
Requirements: Statistics (I level; in particular: descriptive statistics; linear dependence; simple regression model)
Teaching Methods
Guided practical exercises using a computer.
Type of Assessment
Final exam using the software
Course program
On Stata:
Opening and saving Stata datasets; Using the Data Editor; Using the Variables Manager; Importing data; Labelling data; Listing data and basic command syntax; Creating new variables; Deleting variables and observations; Merge and append datasets; Graphing data; Editing graphs;
Saving and printing results by using log files.
Inference: Correlation coefficient and its significance; ANOVA; Simple linear regression; Parameter estimation via OLS; Asymptotic properties of OLS estimators; Deviance decomposition and R2 index; Inference on the parameters of the linear model; The use of the model for forecasting purposes; Extensions and generalizations of the simple linear model.