Your browser doesn't support javascript.
loading
A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix.
Herrera, Marcos; Mur, Jesus; Ruiz, Manuel.
Afiliação
  • Herrera M; CONICET-IELDE, National University of Salta, Salta A4408FVY, Argentina.
  • Mur J; Department of Economic Analysis, University of Zaragoza, 50005 Zaragoza, Spain.
  • Ruiz M; Department of Quantitative Methods, Law and Modern Languages, Technical University of Cartagena, 30201 Cartagena, Spain.
Entropy (Basel) ; 21(2)2019 Feb 08.
Article em En | MEDLINE | ID: mdl-33266875
The practice of spatial econometrics revolves around a weighting matrix, which is often supplied by the user on previous knowledge. This is the so-called W issue. Probably, the aprioristic approach is not the best solution although, presently, there are few alternatives for the user. Our contribution focuses on the problem of selecting a W matrix from among a finite set of matrices, all of them considered appropriate for the case. We develop a new and simple method based on the entropy corresponding to the distribution of probability estimated for the data. Other alternatives, which are common in current applied work, are also reviewed. The paper includes a large study of Monte Carlo to calibrate the effectiveness of our approach compared to others. A well-known case study is also included.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina País de publicação: Suíça