INTRODUCTION

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: 04/01/2019
End Date: 04/05/2019

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