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Panel Data Analysis with Stata Course

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Details

Event: Panel Data Analysis with Stata Course

Venue: Indepth Research Services, Nairobi, Kenya

Event Date: 21st   May – 1st June 2018

 

NITA CERTIFIED.

 

RECENT CLIENTS

 

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.

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.

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

Visit our website for more details.

 

How to participate

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

 

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View course catalogue in Research Institute

For any registration of 3 or more participants, we offer a discount of up to 25%. 

Click here now to register

 

For further inquiries email [email protected] or contact us on Tel: +254 715 077 817,

+254 731240802

 

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer Email:[email protected].  Mob: +254 715 077 817

 

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B.14th May 2018

Send proof of payment to [email protected]

 

 

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Indepth Research Services (IRES) is a global institutional capacity building, technical and management consultancy firm with its head office in Nairobi, Kenya.

IRES offers technical and management consultancy services as well as education and training services designed for individuals’ and groups from organizations working in public, not for profit and private sectors. 

IRES Kenya has identified itself with a niche market that largely comprises of Government ministries, departments and agencies (MDA’s) and UN agencies, Non-Governmental Organizations, from Africa, Europe, Asia, Middle-East and the Caribbean. We have also served academic institutions, international research organizations, financial institutions and private companies from across the globe. As at 2018 we offer our services in more than 15 locations globally.

Our technical and management consultancy services are in the areas of Agriculture, Education, Energy, Oil and gas, Health, Environment and natural resources, ICT for development, spatial planning, Governance, Management and leadership, communication, transport, revenue management, marketing development and environment among others.
Our education and training services are aimed helping individuals improve their professional knowledge, competence, skill, and effectiveness and enable the institutions to get the best out of their workforce. This is achieved through conducting high impact professional diploma and certificate courses, short courses, conferences, workshops and seminars. ...
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