EViews — Econometric Analysis of Panel Data Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


July 2024

Code Date Duration Location Fee Action
EEA03 22 Jul 2024 - 26 Jul 2024 5 days Nairobi, Kenya KES 83,000 | $1,100 Register
EEA03 22 Jul 2024 - 26 Jul 2024 5 days Johannesburg, South Africa $2,400 Register
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July 2024

Code Date Duration Mode Fee Action
EEA03 22 Jul 2024 - 26 Jul 2024 5 days Half-day KES 60,000 | USD 699 Register
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July 2024

Date
Duration
Location
Fee
Action
22 Jul - 26 Jul
5 days
Nairobi
KES 83,000 | $1,100
22 Jul - 26 Jul
5 days
Johannesburg
- | $2,400
I Want To See More Dates...

July 2024

Date
Duration
Mode
Fee
Action
22 Jul - 26 Jul
5 days
Half-day
KES 60,000 | $ 699
I Want To See More Dates...

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:

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

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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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