IDENTIFICATION

"Identification, Estimation and Implementation of Structural Economic Models"

Coordinatore	UNIVERSITY COLLEGE LONDON    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	1˙067˙000 €
EC contributo	1˙067˙000 €
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-2012-StG_20111124
Funding Scheme	ERC-SG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-10-01   -   2017-09-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE LONDON  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Dr. Nome: Dennis Cognome: Kristensen Email: send email Telefono: 442077000000	UK (LONDON)	hostInstitution	1˙067˙000.00
2	UNIVERSITY COLLEGE LONDON  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Mr. Nome: Michael Cognome: Browne Email: send email Telefono: +44 20 3108 3120 Fax: +44 20 7813 2849	UK (LONDON)	hostInstitution	1˙067˙000.00

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 Obiettivo del progetto (Objective)

'Structural economic models are getting increasingly complex. This complicates their implementation. In particular, for many models, (i) identification of the relevant components from data is still unresolved; (ii) estimation and testing procedures tend to be somewhat ad hoc and with no theoretical underpinning; (iii) the implementation of model and estimators often require numerical approximations since model solutions are not available on closed form.

The proposed research aims at addressing these three issues, (i)-(iii), by developing new methods and results for identification, estimation, testing and implementation of structural models. Particular emphasis is put on the use of nonparametric techniques. Many of the projects involve empirical applications where the proposed methods will be taken to data.

The individual projects making up the proposal are: Identification and inference in discrete choice models; identification and inference in continuous choice models; Implementation and estimation of parametric structural models; Filtering and likelihood inference in dynamic latent variable models; Bandwidth selection in estimation and testing of non- and semiparametric models.'