EcoMod School - Europe (Modeling with GAMS, DSGE, GVAR, EViews, Stata, and OLG Models and Python)

EcoMod School - Europe (Modeling with GAMS, DSGE, GVAR, EViews, Stata, and OLG Models and Python)

Posted on

Start Date

End Date

Application Deadline

Type

Summer schools

Study Options

Full Time

Fees

Regular fees: 3767 USD

Comment:

This includes course materials, lectures, morning and afternoon coffee breaks, receptions. University students and staff get a discount of 25% off the regular fee (US$2,825.00).

Funding Options

EcoMod offers a limited number of partial scholarships to candidates from developing countries and transition economies.

The EcoMod Summer School offers two weeks of intensive and hands-on courses on modeling and data science in Prague from June 29 to July 3, 2019. Each course is provided over five intensive days.

We are also pleased to introduce new cutting edge courses this summer in data science and agent based modeling using Python, as well as SFC modeling using EViews.

All EcoMod courses are fully practical and provide hands-on experience through intensive use of exercises on the computer. Participants actually build the models step-by-step with individualized guidance from instructors: from small to large scale and from simple to complex structure. 

A discount of $500 is offered on the regular fee, and $400 on the university fee for registrations and payments completed by May 18, 2020.

The following courses will be offered:

Stock-Flow Consistent Macroeconomic Modeling Using EViews

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.

 

Practical General Equilibrium Modeling with GAMS

Intensive course at the introductory level. For those who have little or no experience in modeling and in GAMS.

 

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.

 
Dynamic Stochastic General Equilibrium (DSGE) Modeling Step-By-Step

Intensive course at the introductory level. This course is tailored for professionals involved in economic forecasting and policy analysis in the central banks, ministries, research organizations, and international institutions.

The course will introduce all the basic tools for constructing and implementing dynamic stochastic general equilibrium (DSGE) models for policy analysis and forecasting.

 

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 Modeling School.

 

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.

 

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.

 

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.

 

Intensive hands-on course at the introductory level. The course provides theoretical foundations and hands-on experience in building and using microsimulation models for tax, pension, health care and social benefit policies.

 

Intensive course at the advanced level. This course is only accessible to those who have some experience in dynamic general equilibrium modeling with GAMS and to the EcoMod alumni.

OLG models are very useful in the analysis of a large number of important policy issues such as government tax and expenditure, social security reform, welfare state, aging, international trade, demographic issues, fertility, education, human capital, growth, migration, labor market, environmental issues, intergenerational equity, etc

 
For further information please contact: 
Theresa Leary
[Email] office@ecomod.net
[Tel] +1 413 210 9004 
[Fax] +1 413 517 0900 

More Information

Posted on

Start Date

End Date

Application Deadline

Type

Summer schools

Study Options

Full Time

Fees

Regular fees: 3767 USD

Comment:

This includes course materials, lectures, morning and afternoon coffee breaks, receptions. University students and staff get a discount of 25% off the regular fee (US$2,825.00).

Funding Options

EcoMod offers a limited number of partial scholarships to candidates from developing countries and transition economies.

Czech%20University%20of%20Life%20Sciences%2C%20Kam%C3%BDck%C3%A1%20961%2F129%2C%20Prague%2C%20Czech%20Republic

Czech University of Life Sciences, Kamýcká 961/129

Prague , Czech Republic