Objective
This proposal is concerned with two research lines: spatial econometrics and worst-case estimation. Spatial Statistics is a set of techniques for the analysis of spatially located data.
The main characteristic of spatial data is that the nearer observations tend to be more dependent. When these techniques are mainly concerned with economic problems, they are know as Spatial Econometrics. A large proportion of the Spatial Statistics work is appearing outside statistical journal (see e.g. Cresses, 1993 Preface). In fact, some inference techniques seem to be heuristic and could be improved. One of the aims of these research projects is to develop a wide range of statistical techniques for the analysis of spatial data, providing a formal mathematical basis for their use. This research project extends previous work of the applicant, supported by a Marie Curie Fellowship. The previous research focused on spatial data regularly sampled on a network. In this project we stress the estimation of random fields aggregated in small areas. An additional aim is the development of estimation techniques for econometric models with absence of empirical information about some of the involved variables. We propose a worst-case approach that is robust against the worst possible outcome of the unobserved variables. This methodology could be especially useful in management modelling, where firms often do not have available all the information required to estimate a decision model.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business economics econometrics
- natural sciences computer and information sciences artificial intelligence heuristic programming
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2002-MOBILITY-11
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
GETAFE, MADRID
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.