Training Calendar

How to Write Your Dissertation with Stata

Online 1 day (7th May 2021 - 7th May 2021) Stata Introductory
Delivered by: Dr Malvina Marchese
Econometrics, Panel Data, Statistics

The aim of this course is to provide participants with an in-depth understanding of how a good MSc dissertation should look, and how to easily use Stata to obtain any required econometrics.

Participants will receive a free temporary Stata license for the duration of the course

The course is meant for any MSc student writing their MSc dissertation, who needs guidance on the best structure, and most suitable econometric methods to apply. No previous knowledge of Stata is required.

  • How to structure your dissertation
  • Abstract and introduction in depth discussion and examples
  • How to get a smart literature review –discussion of successful examples
  • Build, estimate and forecast from linear regression, time series and panel models using Stata
  • Understand and critically present and discuss your results

Do you have course specific questions? Email our team info@timberlake.co.uk. If you have course content specific questions, you are welcome to reach out to the course tutor here: malvinamarchese@timberlake.co.uk.

Course Timetable

Morning Session Afternoon Session Q&A with Instructor
9am-11:30am (London time) 2pm-4:30pm (London time) 4:50pm (London time)
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Timberlake Consultants


Morning Session

Session 1:

  • How to structure your dissertation
  • Look into your data visualization
  • Testing and how to present the data set.
  • What makes a good abstract?
  • How to run preliminary tests in Stata and how to interpret them
  • Writing the introduction: key points you must cover

Session 2:

  • What makes a good literature review?
  • Showcasing examples
  • Fitting econometric linear regression models in Stata: how to estimate the models, run post estimation diagnostic tests and interpret your results.

Afternoon Session

Session 1:

  • Time series models in Stata: estimation, post estimation diagnostic tests and interpretation.
  • Extending your model to include variance GARCH effect: GARCH, EGARCH, TARCH, APARCH: estimation and post diagnostic tests in Stata.
  • Do we really need a GARCH?
  • The ARCH test and the ARMA-GARCH framework.

Session 2:

  • Panel data models in Stata: estimation, post estimation diagnostic tests and interpretation and fixed effect or random effect?
  • The Hausmann test and how to justify your modelling choice
  • How to write good conclusions and convince your reader of your findings

Q&A session

Basic knowledge of linear regression is helpful but not necessary. We do not assume any knowledge of Stata.

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.
  • Delegates are provided with temporary licences for the principal software package(s) used in the delivery of the course. It is essential that these temporary training licenses are installed on your computers prior to the start of the course.
  • Payment of course fees required prior to the course start date.
    • 100% fee returned for cancellations made more than 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 attendees is restricted. Please register early to guarantee your place.

Do you have course specific questions? Email our team info@timberlake.co.uk. If you have course content specific questions, you are welcome to reach out to the course tutor here: malvinamarchese@timberlake.co.uk.

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