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2017 Stata Winter School, London

2017 Stata Winter School, London

Our fourth annual Stata Winter School runs in London between 11-16 December 2017

The Stata Winter School comprises a series of four separate short courses that allows the flexibility to attend one, a combination of or all courses consecutively.

The courses forming the 2017 Stata Winter School are:

  • Course 1: An 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

Click here to view the complete course agendas, schedule information, and suggested pre course reading list.

Course 1: Introduction to Stata & Data Management (2-days)

12 & 13 December 2016

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)

14 December 2016

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)

15 & 16 December 2016

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)

17 December 2016

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

Learning Ratio

Principal texts for pre/post course reading:

  • A Gentle Introduction to Stata, 4th Edition, Alan Acock (Stata Press)
  • Microeconometrics using Stata, Revised Edition, Colin Cameron and Pravin Trivedi (Stata Press)
  • A Visual Guide to Stata Graphics, 3rd Edition,
  • Introductory Econometrics: A Modern Approach, 5th Edition, Jeffrey Wooldridge (South-Western Cengage Learning)
  • Econometric Analysis of Panel Data, 5th Edition, Badi Baltagi (Wiley)
  • Interpreting and Visualizing Regression Models Using Stata (Stata Press)

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

DAILY TIMETABLE (subject to minor changes)

TimeSession / Description
08:50-09:20 Arrival & Registration
09:30-11:00 Session 1
11:00-11:15 Tea/coffee break
11:15-12:45 Session 2
12:45-13:45 Lunch
13:45-15:15 Session 3
15:15-15:30 Tea/coffee break
15:30-17:00 Session 4

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: Visualizing Regression Models Using Stata

Basic knowledge of Stata and regression models.

  • 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).
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials, lunch and refreshments.
  • Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course. (Alternatively, laptops can be hired for a fee of £10.00 (ex. VAT) per day).
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
    • 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.

The number of delegates is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    1-day pass (11/12/2017 - 16/12/2017)
    2-day pass (11/12/2017 - 16/12/2017)
    3-day pass (11/12/2017 - 16/12/2017)
    4-day pass (11/12/2017 - 16/12/2017)
    5-day pass (11/12/2017 - 16/12/2017)
    6-day pass (11/12/2017 - 16/12/2017)

All prices exclude VAT or local taxes where applicable.

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