Training Calendar

Panel Data Analysis with Stata

Online 2 days (16th April 2020 - 17th April 2020) Stata Intermediate, Introductory
Delivered by: Dr. Malvina Marchese
Econometrics, Panel Data, Panel methods, Statistics

Course Overview

Panel data econometrics has developed rapidly over the last decades.

Longitudinal data – both with a large number of units tracked for a short period and with a relative small number of units for a long time - are more and more available to researchers and methods to analyse these data are in high demand from scholars from different fields.

The course offers a comprehensive overview on panel data methods with Stata, covering linear models with exogenous and endogenous variables and dynamic linear models.

Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.

By the end of the two-day on line course participants should be able to prepare panel data for the analysis with Stata, choose the relevant model and get the parameter estimates.

Course Agenda

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on April 9th.

Day 1: 16th April

Session 1: 10:00-12:00 GMT

  • Panel versus Cross-sectional data, Describing and visualising panel data.
  • The static panel model: Pooled and Population-averaged models.

Session 2: 14:00-16:00 GMT

  • The static panel model: Fixed Effect, Within and Between estimators.
  • The Random Effect Model, Comparing estimators by the Hausman Test.

Day 2: 17th April

Session 1: 10:00-12:00 GMT

  • Dynamic panel models model: the Arellano–Bond estimator, the Arellano Blundell–Bond estimator, low order MA errors.

Session 2: 14:00-16:00 GMT

  • Instrumental Variables (IV) regression, Hausman–Taylor Models

Q&A Session: 16:00-17:00 GMT

Prerequisites

  • Basic knowledge of linear regression and time series of econometrics is assumed.
  • An introductory level of Stata helps but is not necessary.

Terms and 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).
  • 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.

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).
  • Additional discounts are available for multiple registrations. Contact us for more information.
  • 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.
  • 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.
    • 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
    16-17 April (10-12 & 2-4pm GMT) (16/04/2020 - 17/04/2020)

All prices exclude VAT or local taxes where applicable.

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