Panel Data Analysis with Stata Course

Event: Panel Data Analysis with Stata Course

Venue: Indepth Research Services, Nairobi, Kenya.

Event Date: 19th March – 30th March 2018

NITA CERTIFIED.

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

10 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

LEARNING OBJECTIVES

The training aims at building the capacity of researchers and practitioners in all fields to manage and conduct analysis of the panel data.

TOPICS TO BE COVERED

• 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

How to participate

• Tailor make your course.  
• Register as an individual.
• Register as a group.
• Become one of our partners.
• Purchase software’s
• Frequently Asked Questions (FAQ’s)

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814.

Email [email protected]

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: [email protected].

Mob: +254 715 077 817

Tel: 020 211 3814

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 12th March 2018.

Send proof of payment to [email protected]

Others Details

ACCOMMODATION Accommodation is arranged upon request. For reservations contact the Training Officer. Email: [email protected]. Mob: +254 715 077 817 Tel: 020 211 3814 PAYMENT Payment should be transferred to IRES account through bank on or before C.O.B 12th March 2018. Send proof of payment to [email protected]