General Equilibrium Models (GEMs) 

General equilibrium theory is useful for understanding economic interactions and changes in the context of static and dynamic complex modern economies. Applied GEMs are widely used in the field of Macroeconomics to address a wide range of theoretical research questions, analyze, forecast, and simulate policy issues in response to exogenous shocks.


M&S Research Hub organizes full and comprehensive online/onsite 45 hours of structured training for researchers, data analysts, and policy experts to acquire detailed knowledge and become fully capable of using GEMs in their research and policy-related analysis.


Learning by "Researching" TM


Module One: Dynamic Stochastic General Equilibrium (DSGE)


"Full Training on the Theoretical Foundations of DSGE Modeling, Including Practical Labs Using Dynare"


Training Calendar

June  / DSGE- Registration closed                                       

October / DSGE- Registration closed

September  / CGE- Registration closed

2020

March  / DSGE- Normal Group (7-10 participants)                                        

July / DSGE- Normal Group (7-10 participants)                   1 seat left                     

November  / DSGE- Normal Group (7-10 participants)       3 seats left                         

January  / CGE- Normal Group (7-10 participants)                                     

September  / CGE- Normal Group (7-10 participants)        4 seats left                         

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  May / CGE- Normal Group (7-10 participants)                        

2021

REVIEWS

EXPERIENCED TRAINERS

I am very happy to be enrolled in CGE and DSGE courses

S. G.

Secreteriat Ministry of Finance, Brazil


COMPLETE GUIDE TO DATA ANALYTICS

A good platform to learn data analysis.



Mahdi Hassan

Researcher, Bangladesh

FULLY-FLEDGED TRAINING

Very much appreciate the sessions

Ryan

Asian Development Bank, Philippines


Excellent GEM Modeling 

 I am really happy about your service, specially teaching, explanation and providing materials are excellent. I would like to highly recommending to others regarding your institute.


Fernando

Graduate Student, University of Aberdeen, UK


Live Training


Snapshots

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Video 1: Theoretical introduction to Computable General Equilibrium (CGE) using GAMS     

(44 Minutes)

Video 3: Part of theoretical introduction to open economy and dynamic CGE using GAMS     

(4 Minutes)

Video 2: DSGE live Training - Session 1: Introduction and dynamic optimization with Lagrangians                                 (20 Minutes)

Video 4: M&S Research Hub | DSGE Live Training | Modeling COVID 19 Using Dynamic Equations

 (23 Minutes)

Duration: Approx. 25 Hours

Training Mode: Normal group (7-10 trainees), small group (2-5 trainees), and one-to-one

Platform: online (Zoom)

Extra benefits:

  • Certified certificate and 10% permanent discount on all events, workshops, and webinars.
  • Trainees become eligible to submit their papers at MSR working paper series (SSRN and RePEc indexed).




Training content is systematic and structured as follows:

1 - Introduction to DSGE Models
2 - New Keynesian Models
3 - Small Open Economy Models
4 - Extensions to New Keynesian Models
5 - Kalman Filter and Estimation Methods
6 - Examples of Practical Application of DSGE Models

Module Two: Computable General Equilibrium (CGE)


"Full Training on the Theoretical Foundations of CGE Modeling, Including Practical Labs Using GAMS or GEMPACK"


Recommended training program by GAMS institute, view the announcement here

Duration: Approx. 20 Hours

Training Mode: Normal group (7-10 trainees) and small group (2-5 trainees)

Platform: online (Zoom)

Extra benefits:

  • Certified certificate and 10% permanent discount on all events, workshops, and webinars.
  • Trainees become eligible to submit their papers at MSR working paper series (SSRN and RePEc indexed).



Training content is systematic and structured as follows:

1) Modeling a Simple Economy 

2) Modeling an Economy with Two Sectors

3) Modeling the Government 

4) Modeling the Rest of the World 

5) Introduction to Dynamic Models 

6) Modeling a Simple Dynamic Model 

7) SAM modeling - Bonus Module

Stay Updated

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