CERTIFIED master IN MACROECONOMETRIC FORECASTING

NAME OF THE COURSE
Certified Master in Macro-Econometric Forecasting  
 
CERTIFICATION
Certified Master in Macro-Econometric Forecasting  
 
COURSE OVERVIEW
Intensive course at the introductory level. This course is tailored for staff developing or using small or medium size macro models and staff involved in forecasting and policy analysis in the central banks, ministries and international institutions. The course will introduce all the basic tools for constructing and implementing medium-scale macro-econometric models for policy analysis.
 
TRAINING DURATION
Total Training Hours: 22 Hours
Training Duration: 1 Week
Total Training Days: 4-5 Working Days
 
TRAINING SCHEDULE
Weekdays (Sunday to Thursday)
Regular Sessions: 4 – 6 Hrs Per day (9 am to 2 pm or 3.00 pm to 9.00 pm)
Food & refreshments Included
Weekends (Friday & Saturday)
Fast Track Sessions: 8 Hours per day (9 am to 5 pm)
Food & refreshments Included
 
CERTIFICATION
Globally recognized certificate from “Kings Global Career Academy”
 
TEST
No
 
LEARNING AIDS
Yes
 
COURSE MATERIAL
Hard & Soft Copies of Study Material
 
LANGUAGE OF INSTRUCTION
English
 
INSTRUCTOR HELPLINE
Yes
1. Email
2. Social Media (For Emergency requirements)
 
REGISTRATION REQUIREMENTS
1. Passport Copy
2. Curriculum Vitae
3. Passport size photographs
4. Course Fee
 
MODE OF PAYMENT
Cash / Cheque / Credit Card / Bank Transfer.
 
COURSE ELIGIBILITY 
Government employees in planning (top & mid-level) 
 
COURSE BENEFITS
  • Evaluation of macro-econometric models
  • forecasting of uncertainty and forecasting for policy analysis
  • properties of time series data and model design
  • dynamic specification and the use of vector auto-regression models (vars) and error correction models (vices)
 
COURSE CONTENTS
1 introduction
 
2 why do we forecast?
  • forecasting in decision theory
  • conditional and unconditional forecasts
 
3 criteria for a good forecast
  • statistical criteria
  • non-statistical criteria
  • logical coherence
  • economic coherence
  • stability
 
4 how to forecast?
  • statistical criteria
  • the Lucas critique
  • non-statistical criteria