DYNAMIC MODELS

Solving dynamic models: Theory and Applications

 Coordinatore UNIVERSITAET ZUERICH 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Switzerland [CH]
 Totale costo 1˙114˙800 €
 EC contributo 1˙114˙800 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2011-StG_20101124
 Funding Scheme ERC-SG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-10-01   -   2016-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET ZUERICH

 Organization address address: Raemistrasse 71
city: ZURICH
postcode: 8006

contact info
Titolo: Prof.
Nome: Felix Egbert
Cognome: Kübler
Email: send email
Telefono: +41 44 634 41 06

CH (ZURICH) hostInstitution 1˙114˙800.00

Mappa


 Word cloud

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approximate    equilibrium    economy    dynamic    methods    algorithms    equilibria    analyzing    computational    computation    of    models    quantitative   

 Obiettivo del progetto (Objective)

'The computation of equilibria in dynamic stochastic general equilibrium models with heterogeneous agents has become increasingly important in macroeconomics and public finance. For a given example-economy, i.e. a given specification of preferences, technologies and market-arrangements these methods compute an (approximate) equilibrium and allow for quantitative statements about one equilibrium of the example-economy. Through these so-called 'computational experiments' many economic insights can be obtained by analyzing quantitative features of realistically calibrated models. Unfortunately, economists often use ad hoc computational methods with poorly understood properties that produce approximate solutions of unknown quality. The research-project outlined in this proposal has three goals: Building theoretical foundations for analyzing dynamic equilibrium models, developing efficient and stable algorithms for the computation of equilibria in large scale models and applying these algorithms to macroeconomic policy analysis.'

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