# Stata Fundamentals

Sofitel, Downtown Dubai 1 day (5th March 2020 - 5th March 2020) Stata Introductory
Delivered by: Dr. Anis Samet
Econometrics, Statistics

Our Stata Fundamentals course provides a complete introduction to Stata and is ideal for the new or beginner level users who want to have a head start and learn how to use Stata efficiently.

This one-day short course introduces Stata’s most popular and useful commands and procedures to import, manipulate, transform and manage data as well as how to export results to commonly used file formats. Stata do-files, log files and moves on to lcover linear regression and then in the final session, introduces panel data analysis.

This short course is ideal for new or beginner level users who want to have a head-start and learn how to use Stata efficiently. The sessions are practical and hands-on. All participants will be expected to implement several procedures and undertake exercises using Stata.

### Session 1 - Introduction to Stata

• Opening, importing, browsing, saving datasets
• Renaming and labelling variables
• Creating new variables and replacing variables content
• Learning how to use Stata’s command syntax
• Using date and time functions
• Making, editing and using graphs
• Saving output with log files
• Automating tasks with do-files
• Data analysis via descriptive statistics
• Creating and analyzing distributional plots, scatter plots and time series plots

### Session 2 - Linear Regression Analysis with Stata

• The linear regression model and its assumptions
• The Ordinary Least Squares Estimator (OLS) to estimate the parameters of a linear regression model and its practical implementation in Stata
• Analysis of the regression output: assessing the statistical significance of the estimated parameters and interpreting them
• Interpreting the F-test and the goodness-of-fit statistics
• Testing for linear restrictions
• Graphical analysis of regression: creating diagnostic plots and goodness-of-fit plots
• Violation of the linear regression model assumptions: heteroscedasticity, serial correlation, non normality, incorrect functional form
• Robust standard errors
• Further issues in regression analysis: multicollinearity, omitting an important variable and including irrelevant ones, parameter stability
• Constructing and using dummy variables

### Session 3 - Panel, Logit, Probit, and conditional heteroscedasticity

• Introduction to panel models
• Fixed effects and random effects models
• Logit, Probit, and Tobit
• Conditional heteroscedasticity models: ARCH, GARCH

### Daily Timetable (subject to minor changes)

TimeSession / Description
08:30-09:00 Arrival and Registration
09:00-10:45 Session 1
10:45-11:00 Break
11:00-12:30 Session 2
12:30-13:30 Lunch
13:30-15:15 Session 3
15:15-15:30 Break
15:30-17:15 Session 4

### Prerequisites

This is a beginner’s course to Stata so no prior knowledge of Stata is required. Having knowledge of how a statistical package operates and basic statistics is an advantage.

### Terms & Conditions

• Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
• Cost includes all course materials, lunch and refreshments.
• Temporary, time limited licences for the software(s) used in the course will be provided. You are required to install the software provided prior to the start of the course. Alternatively, laptops can be hired for a fee of £12.00 (including VAT) per day.
• If you need assistance in locating hotel accommodation in the region, please notify us at the time of registration.
• Full payment of course fees is required prior to the course start date to guarantee your place.
• Registration closes 5-calendar days prior to the start of the course.

#### Cancellations or changes to your registration

• 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
• 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
• No fee returned for cancellations made less than 14-calendar days prior to the start of the course.