Estimating Linear Panel Data Models in Stata - ONLINE

Estimating Linear Panel Data Models in Stata - ONLINE

Posted on

Start Date

End Date

Application Deadline

Type

Professional training

Reference Number

D-EF10-A-OL

Certifications & Titles

Certificate of participation

Study Options

Part Time

Fees

Regular fees: 710 - 1350 EUR

Comment:

Please note:

  • To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. 
  • Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.
  • The number of participants is limited to 8. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: course materials (handouts, Stata do files developed specifically for the course and datasets to be used during the applied sections), a temporary licence of Stata valid for 30 days from the beginning of the course.

Funding Options

Students have access to discounted courses fees

Panel data analysis is increasingly used in econometrics, financial analysis, public health and social sciences, since it enable researchers to allow for different types of latent heterogeneity between observations. Allowing researchers for example, to control for variables that cannot be directly observed or measured, such as cultural factors or differences in business practices across companies.

TStat's introductory panel data course offers participants the opportunity to acquire the necessary theoretical background and the applied skills to enable them to: i) independently employ micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. The course focuses on the linear model techniques adopted for the analysis of a typical micro panel-data set with a large number of individuals and a small number of time periods. Such techniques include: fixed and random effects models; robust inference and instrumental-variables estimators.

PROGRAM:

  • Session I:   Introduction
  • Session II:  Linear Panel Data Models with Exogenous Variables
  • Session III: Linear Panel Data Modela with Exogeneous Variables: Robust Inference 
  • Session IV: Linear Panel Data Models with Endogenous Variables

A more detailed course program can be obtained here!

PREREQUISITES:

Participants are required to have a good working knowledge of the OLS regression model and the statistical software Stata. Knowledge at the argoments illustrated in TStat Training’s Analysing Micro Data course will also prove to be a advantage.

TARGET AUDIENCE:

The panel data training course is of particular interest to Master and Ph.D. Students, researchers in public and private research centres and professionals working in the following fields: Agricultural Economics, Economics, Finance, Management, Public Health, Political Sciences and the Social Sciences seeking to acquire the “introductory” applied and theoretical toolset to enable them to undertake independent empirical research using panel data.

COURSE DURATION:

Due to the on-going COVID-19 situation, the 2021 edition of this training course will be offered ONLINE on a part-time basis on the 5th-6th and 8th-9th of July 2021 from 10.00 am to 1.30 pm Central European Summer Time (CEST).

COURSE OBJECTIVES:

In common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.

Upon completion of the course, it is expected that participants are able to identify and evaluate which specific methodology is more appropriate to both their dataset and the analysis in hand and subsequently to apply the selected estimation techniques adapting the Stata routines specifically developed for the course to their own research needs.

 

More Information

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Full Name

Cover Letter

Password

Your Account Password


Attendance

Online

Posted on

Start Date

End Date

Application Deadline

Type

Professional training

Reference Number

D-EF10-A-OL

Certifications & Titles

Certificate of participation

Study Options

Part Time

Fees

Regular fees: 710 - 1350 EUR

Comment:

Please note:

  • To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. 
  • Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.
  • The number of participants is limited to 8. Places, will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: course materials (handouts, Stata do files developed specifically for the course and datasets to be used during the applied sections), a temporary licence of Stata valid for 30 days from the beginning of the course.

Funding Options

Students have access to discounted courses fees