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) 4 seats left
November / DSGE- Normal Group (7-10 participants) 7 seats left
January / CGE- Normal Group (7-10 participants)
September / CGE- Normal Group (7-10 participants) 7 seats left
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May / CGE- Normal Group (7-10 participants) 3 seats left
2021
REVIEWS
EXPERIENCED TRAINERS
It was excellent training for me. I think Dr. Arhsian is the best in his field. He is a well-qualified person. I will recommend this institute for all my colleagues if they need it
Ferhat Citak
Source - Home Page
COMPLETE GUIDE TO DATA ANALYTICS
A good platform to learn data analysis.
Mahdi Hassan
Source - Facebook Page
FULLY-FLEDGED TRAINING
After finishing the first module, I decided to to do all modules because the first one has opened my mind, because here in Zambia there is no university or college where they offer as full program they way you offer it, it only comes as a course to those who are doing economics.
George
Source - Home Page
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
Source - Home Page
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
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