Modeling with Impact

EcoMod School of Modeling and Data Science - Week 2

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Date: 
July 1, 2019 - July 5, 2019

The EcoMod School will offer in Prague two consecutive weeks of five-day intensive hands-on courses. Courses in modeling and data science using Python, GAMS, Matlab, Dynare, EViews, and Stata. New courses with Python in machine learning, big data analytics, and agent-based modeling. Introductory and advanced levels.

The training is fully practical and provides 'hands-on' experience through intensive use of exercises on the computer.

You may attend both the June and July sessions however only 1 course per week. Discounts apply if you stay for two consecutive weeks. Please contact Pat MacNeil at pat.macneil@ecomod.net before you order in order to receive details.

The fee for each course is US$3767.00. This includes course materials including a free course license of GAMS for two months, lectures, computer labs, morning and afternoon coffee breaks, receptions.

University students and staff get a discount of 25% of the regular fee (US$2825.00). Please email: office@ecomod.net a copy of your student or staff card.

A discount of $500.00 is offered on the regular fee, and US$400.00 on the university fee for registration with payment completed by May 15, 2019. Bank transfer fees are the responsibility of participant.

EcoMod offers a limited number of partial scholarships to candidates from developing countries and transition economies. Please pre-register for the course and then submit the application here. The deadline to apply for a scholarship is two months before the beginning of the course by April 29, 2019.

The following courses will be offered:

Macroeconometric Modeling using EViews
July 1, 2019 - July 5, 2019

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.

Energy and Environmental CGE Modeling with GAMS
July 1, 2019 - July 5, 2019

Intensive course at the advanced level. The course will focus on modeling energy and greenhouse gas emissions. This course is only accessible to those who have some experience in general equilibrium modeling and to the alumni of the EcoMod School.

Advanced Techniques in General Equilibrium Modeling with GAMS
July 1, 2019 - July 5, 2019

Intensive course at the advanced level. The course will focus on multinational and multisectoral modeling with imperfect competition and intertemporal dynamics. This course is only accessible to those who have some experience in general equilibrium modeling and to the alumni of the EcoMod School or on-line courses.

Financial Social Accounting Matrices (FSAM): Building and Modeling Real-Financial Multiplier Models for Policy Analysis
July 1, 2019 - July 5, 2019

This course provides a strong theoretical foundation and hands-on experience in building Social Accounting Matrices according to the new recommendations of System of National Accounts 2008. The content of the course goes beyond the generalized input-output framework for calculating simple multipliers by considering a Financial Social Accounting Matrix (FSAM).

The FSAM results in an useful tool for improving and extending multiplier models, sectorial-financial linkage analysis and macroeconomic forecasting, and for building and calibrating macro-financial CGE models to conduct impact analyses of public policies.

The development of integrated financial information at the sectoral level has become central to understanding the interconnectedness between the real and financial sides of the economy. Understand the key components of its construction provides the participants with a tool to deepen the analysis of the financial sector and of the determinants of financial vulnerability associated with interactions with other sectors of the real side of the economy.

Agent-Based Economic Modeling Using Python
July 1, 2019 - July 5, 2019

Intensive and hands-on course at the introductory level.

The course is aimed at participants who have no or little experience with agent-based modeling but have knowledge of programming in python.

Machine Learning with Python for Economics and Econometrics
July 1, 2019 - July 5, 2019

Intensive and hands-on course at the introductory level.

The course will introduce all the basic techniques of machine learning using Python, Keras and tensorFlow.

As data become available faster and in huge quantities, businesses and governments require new analytical methods. Big Data and Machine Learning became essential for economics, finance, government and businesses to learn about.

Stock-Flow Consistent Macroeconomic Modeling Using EViews
July 1, 2019 - July 5, 2019

Intensive hands-on course at the introductory level. The course provides theoretical foundations and hands-on experience in building dynamic stock-flow-consistent (SFC) models which integrate real and financial markets.

Global VAR modeling using the GVAR Toolbox 2.0
July 1, 2019 - July 4, 2019

The GVAR model is a compact model of the world economy designed to explicitly model the economic and financial interdependencies at national and international levels.