EViews — Econometric Analysis of Panel Data Course

INTRODUCTION

In this course "panel data" refers to the combination over a number of time periods observations on a cross-section of countries, households, firms and so forth. Panel data which is also known as longitudinal data allows for more educative outcomes, more variability, more degrees of freedom and more efficiency. This is an applied course that concentrates on practical experience in estimation, interpretation, and evaluation of economic links in the context of panel data.

DURATION

5 days

WHO SHOULD ATTEND

Researchers or analysts in any of the following fields of economic application: development economics, public finance, and tax policy, socio-economics and health, financial markets, as well as international trade and finance.

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
EEA03 23 Oct 2023 - 27 Oct 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 27 Nov 2023 - 1 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 18 Dec 2023 - 22 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 29 Jan 2024 - 2 Feb 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 26 Feb 2024 - 1 Mar 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 25 Mar 2024 - 29 Mar 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 22 Apr 2024 - 26 Apr 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
EEA03 24 Jun 2024 - 28 Jun 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.



Course Outline

  1. Stationary panel data:

  • One-way error component models
  • Two-way error component models
  • Hypothesis testing
  • Heteroscedasticity and serial correlation
  • Seemingly unrelated regression (SUR) models
  1. Non-stationary panel data
  • Unit root tests
  • Estimation of non-stationary time series
  • Co-integration tests

Course Administration Details:

METHODOLOGY

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

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute(IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES 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

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected] / [email protected]

TAILOR- MADE

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

For further inquiries, please contact us on Tel: +254 715 077 817 0r +250 789 621 067

Mob: +254 792516000+254 792516010   +250 789 621 067 or mail [email protected] / [email protected]

PAYMENT

Payment should be transferred to IRES account through the bank before the course start date

Send proof of payment to [email protected] / [email protected]


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