This course focuses on the interpretation of panel-data estimates and the assumptions underlying the models that give rise to them. Both "real" data and simulation techniques will be used to build intuition for the methods covered in the workshop. The breadth of the lectures will be helpful if you want to learn about panel-data analysis or if you are familiar with the subjects.
The concepts presented are reinforced with practical exercises at the end of each section. We also provide additional exercises and materials at the end of each lecture and access to our experts for any further questions.
DURATION
5 days
WHO SHOULD ATTEND
The course is geared for researchers and practitioners in all fields. Familiarity with basic time-series, cross-sectional summary statistics and linear regression will be an added advantage
COURSE OBJECTIVES
The training aims at building the capacity of researchers and practitioners in all fields to manage and conduct analysis of the panel data.
COURSE CONTENT
A quick introduction to Stata
An introduction to panel data and its features
Overview of basic concepts in panel data
Random-effects model
Fixed-effects model
Deciding between random and fixed effects
Population-averaged models
Probit models for panel data
Logit models for panel data
Poisson models for panel data
Cross-sectional estimation under endogeneity
Panel-data estimation under endogeneity
Dynamic models
Building your own dynamic models
REQUIREMENTS
Participants should be reasonably proficient in English.
METHODOLOGY
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.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Start Date: 12/03/2018 End Date: 12/07/2018
Registration for this course has been closed. Please click ALL COURSES to view more future courses
Course Description
Course Duration: 5 days
Training Center: Datastat Research Center
Start Date: 12/03/2018
End Date: 12/07/2018
Registration for this course has been closed. Please click ALL COURSES to view more future courses
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