Stata Winter School


Timberlake Consultants

Start Date:

End Date:

Application Deadline:

Expired help

Type

Professional training

Certifications & Titles

Certificate of Completion

Study Options

Full Time

Location

Cass Business School

London

United Kingdom

Start Date:

End Date:

Location

United Kingdom

London

Type

Professional training

Application Deadline:

Expired help


Join us at Cass Business School, London for the fourth annual Stata Winter School. 

This year's programme consists of four courses spread over six days. You can choose to attend one, all, or a combination of courses on the following topics:

Course 1: Introduction to Stata and Data Management 
Course 2: Data Visualisation through Stata
Course 3: Analysing Panel Data in Stata
Course 4: Visualising Regression Models using Stata

Our courses are taught by professionals who are experts in their fields. You can find out more about the teachers, view the full agenda and register for the course of your choice on our website.

AGENDA:

COURSE 1: INTRODUCTION TO STATA & DATA MANAGEMENT (2-DAYS)

11-12 DECEMBER 2017

Introduction to Stata:

Session 1:

  • Introduction to the Stata interface
  • Working interactively in Stata using the Graphical User Interface
  • Understanding Stata’s command syntax
  • Stata Help

Session 2:

  • Loading and saving data
  • Exploring data: key commands for getting to know your data
  • Essential commands for creating new variables

Session 3:

  • Creating basic tables and graphs
  • Working efficiently with do-files
  • Saving results output in a log file

Session 4:

  • Practical session

INTRODUCTION TO DATA MANAGEMENT

Session 5:

  • Brief review of Stata basics
  • Importing data into Stata from Excel
  • Renaming, labelling and ordering your data

Session 6:

  • Useful functions for creating summary variables
  • Dealing with string variables and dates in Stata
  • Changing the shape of data

Session 7:

  • Creating summary datasets
  • Using Stata’s system variables for data management tasks
  • Some simple programming tools for saving time

Session 8:

  • Practical session

COURSE 2: DATA VISUALISATION THROUGH STATA (1-DAY)

13 DECEMBER 2017

Session 1:

  • Creating graphs using the Graphical User Interface
  • Working efficiently in do files: saving and reusing graph commands
  • Demonstration of Stata’s graphical schemes

Session 2:

  • Editing graphs using the Stata Graph Editor
  • Insight into the wide range of graphs available in Stata
  • Saving and exporting publication quality graphs
  • Practical session

Session 3:

  • Visualising data in tables
  • Creating tables using the Graphical User Interface
  • Copying tables into Excel or Word
  • Exporting results using the putexcel command

Session 4:

  • Brief overview to data visualisation through maps
  • Practical session

COURSE 3: ANALYSING PANEL DATA IN STATA (2-DAYS)

14-15 DECEMBER 2017

INTRODUCTION TO PANEL DATA

Session 1:

  • Brief summary of Stata’s main commands
  • Introduction to time series operators in Stata
  • Working with panel data in Stata
  • Summary of basic regression analysis

Session 2:

  • Regression and causality
  • Differences-in-Differences

Session 3:

  • Static panel data models
  • Fixed effects regressions
  • Random effects regressions

Session 4:

  • Practical session

DYNAMIC PANEL DATA MODELS

Session 5:

  • Dynamic panel data models
  • Challenges of dynamic panel data models

Session 6:

  • Instrumental-variable estimators
  • Generalised method of moment

Session 7:

  • The Arellano-Bond estimator
  • The Arellano–Bover/Blundell–Bond estimator
  • Misspecification Tests

Session 8:

  • Practical session

COURSE 4: VISUALISING REGRESSION MODELS USING STATA (1-DAY)

16 DECEMBER 2017

This course is aimed for researchers from any field, with a basic knowledge of Stata, who are interested in present results effectively from any regression model-fitting using Stata commands designed for this purpose. 

Overview:

Researchers from any field start to squirm when asked to give a simple explanation of the practical meaning of a non-linear relationship and/or an interaction from any type of regression model. Michael Mitchell’s book titled ‘Interpreting and Visualizing Regression Models Using Stata’ presented techniques that make answering those questions easy. This one-day course is mainly based in Mitchell’s book to introduce the way to present results from any model-fitting in a wide variety of settings in practice using the Stata commands margins and marginsplot 

Course Outline:

  • Type of regression models
  • Predictive margins, marginal effects and elasticity
  • Continuous and categorical predictors
  • Linear and non-linear relationships
  • 2-way and 3-way interactions
  • Practical exercises using the commands margins and marginsplot

 

PREREQUISITES:

Course 1: An Introduction to Stata and Data Management
No prior knowledge of Stata required. Knowledge of using other statistical software is an advantage but not necessary. 

Course 2: Data Visualisation through Stata 
Prior knowledge of Stata is not essential but very helpful; more specifically having familiarity with Stata’s interface and understanding of its syntax.

Course 3: Analysing Panel Data in Stata 
A basic understanding of Stata and familiarity with regression analysis are required. 

Course 4: Visualising Regression Models using Stata
Basic knowledge of Stata and regression models