Course Title: TRAINING COURSE ON PANEL DATA MODEL IN STATA

Course Date Location Course fee: Click to Register (Group)
Start Date: 05/12/2022 End Date: 09/12/2022 Nairobi Kenya $ 1,000 Register as Individual Register for Online Training Register as a Group
Start Date: 13/02/2023 End Date: 17/02/2023 Nairobi Kenya $ 1,000 Register as Individual Register for Online Training Register as a Group

INTRODUCTION

Panel data is a dataset in which the behavior of variables is observed across time. This course focuses on the interpretation of panel-data estimates and the assumptions underlying the models using the STATA software. The concepts presented are reinforced with practical exercises at the end of each session.

Participants who successfully complete the course will receive a Certificate of Participation.

OBJECTIVES

By the end of this course the partakers will be able in all fields to manage and conduct analysis of linear, nonlinear, and dynamic panel data estimators using STATA.

DURATION

 5 days

WHO SHOULD ATTEND?

This course will be highly beneficial to researchers, practitioners in all fields who want to learn about panel data estimates using STATA.

COURSE OUTLINE

·         Introduction to panel data and STATA

·         Statistics and dynamics summary

·         Data generation

·         Regression model

·         Variance covariance estimators

·         Margins and Marginal effects

·         Basic Panel- data estimation concepts

·         Moment-based estimation

·         Fixed-effects model

·         Panel data, regression and efficiency

·         Random-effects model

·         Comparing and random-effects estimates

·         First-differenced estimator

·         Choosing between random and fixed effects

·         First-differenced estimator

·         Population-averaged models

·         Probit models

·         Logit models

·         Poisson models for panel data

·         Cross-sectional estimation under Endogeneity

·         Panel-data estimation under Endogeneity

·         Building dynamic models

·         Complex dynamic structure

GENERAL NOTES

·         The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

·         The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.

·         Upon successful completion of this training, participants will be issued with a certificate.

·         The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

·         All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

·         Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator at Email: training@kincaiddevelopmentcenter.org or Tel: +254 724592901

·         This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.

 

For further inquiries, please contact us on Tel: +254 724592901 or send mail to training@kincaiddevelopmentcenter.org

 

Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to training@kincaiddevelopmentcenter.org