Course Description

Panel Data Analysis using Stata This two-day applied panel data workshop covers basic static panel data estimations and dynamic panel data models that are useful in economics, finance, and business areas. The first day of the course begins with an introduction to the nature of panel data, and covers the classical panel data model estimations, as well as the correlated random-effect model and hybrid model. On day 2, the course embraces topics on dynamic panel data model estimation, focusing on the Generalized Method of Moment estimates. Concepts are extensively illustrated using exercises and examples worked in Stata.

    Day/Session 1

  •     Overview of Panel Data Structure and Panel Data Models
  •     Issues on Panel data models: heterogeneity, autocorrelation, cross-sectional dependence, and endogeneity
  •     Statics Panel Data Models Estimation: Pooled OLS, Fixed Effect Model (FEM), Random Effect Model (REM), correlated random effect model (CRE) and Hybrid model
  •     ENTREPRENEURSHIP &INNOVATION - a fuel to socio-economic development
  •     Hands-on sessions

    Day/Session 2

  • Issues on dynamic panel data models estimation: Bias of Pooled OLS, Fixed Effects and Random Effects
  • Dynamic panel data models estimate: Instrumental Variable (IV) Estimation, Arellano and Bond (AB) Difference GMM Estimator, Blundell and Bond System GMM Estimator
  • Practical issues dealing with dynamic panel data estimation
  • Hands-on sessions
  • Issues on dynamic panel data models estimation: Bias of Pooled OLS, Fixed Effects and Random Effects
  • Dynamic panel data models estimate: Instrumental Variable (IV) Estimation, Arellano and Bond (AB) Difference GMM Estimator, Blundell and Bond System GMM Estimator
  • Academic CafĂ© meeting with Mentors and entrepreneurs
  • Bonfire and Welcome Dinner
  • Leisure Activities
  • Cash prize to the wining business idea
  • Gala/cruise dinner

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Trainer

Speaker

Dr Eng Yoke Kee

Professor Faculty of Business &Finance Universiti Tunku Abdul Rahman, Malaysia.

REGISTRATION FEE & DISCOUNTS

Note: the payment must be made prior of 03rd March 2023 enjoy early bird registration. Registration is not confirmed unless the payment has been received. The payment made through invoice or LO should be processed prior to early bird registration date: else the participants would not be entertained in the early bird category.

# Delegates Early Bird Registration 17th April 2023 Regular Registration
1 Full Time Students RM450 RM500
2 Others RM550 RM600
# Early Bird Discount Group Discount
1 17 April 2023 Group of Three Participants Register on Single Form
2 10% 10%

Registration Form

PAYMENT METHOD


Payment is due prior to commencement of programme and must be made by cash and Cheque Deposit/ Online Transfer/ Telegraphic Transfer/ Government LO. Payment must be made by crossed A/C payee and issued in favor of Academy of Educational Research and development PLT, CIMB Bank Berhad, Groud floor Menara CIMB, Jalan Stesen Sentral 2, KL Sentral 50470 Kuala Lumpur.

Bank Account Detail




Bank : CIMB

Account Title : Academy of Educational Research and development PLT

Account # : 8007575042

CANCELATION POLICY


If any registered participant cannot attend the workshop, substitution/replacement are welcome at any time. Cancellation within 14 days prior to the programme date will carry a 50% cancelations fee. Cancelation within less than 7 days prior to the programme date carry a 100% liability. All cancelations must be made in writing (E-mail or fax).

Registration Fee Includes:



- Tea / Coffee and Lunch

- Certificate of Attendance

REGISTRATION Form

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EarlyBird Registration Fees




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