This paper develops a new methodology for estimating and testing the form of anisotropy of homogeneous spatial processes. We derive a generalised version of the isotropy test proposed by Arbia, Bee and Espa (2013) and analyse its properties in various settings. In light of this, we propose a new approach that allows one to estimate and test under mild conditions any form of anisotropy in homogeneous spatial processes. The power of the test is studied by means of Monte Carlo simulations performed both on regularly and irregularly spaced data. Finally, the method is used to analyse the soybeans yields in the US.

Testing for Asymmetries and Anisotropies in Regional Economic Models / Arbia, Giuseppe; Bee, Marco; Espa, Giuseppe; Santi, Flavio. - ELETTRONICO. - 15(2015), pp. 1-19. - DEM DISCUSSION PAPERS.

Testing for Asymmetries and Anisotropies in Regional Economic Models

ARBIA, Giuseppe;ESPA, GIUSEPPE;SANTI, FLAVIO
2015

Abstract

This paper develops a new methodology for estimating and testing the form of anisotropy of homogeneous spatial processes. We derive a generalised version of the isotropy test proposed by Arbia, Bee and Espa (2013) and analyse its properties in various settings. In light of this, we propose a new approach that allows one to estimate and test under mild conditions any form of anisotropy in homogeneous spatial processes. The power of the test is studied by means of Monte Carlo simulations performed both on regularly and irregularly spaced data. Finally, the method is used to analyse the soybeans yields in the US.
2015
DEM Discussion Papers
regional analysis; spatial econometrics; isotropy testing; directional bias; spatial dependence
02 Pubblicazione su volume::02a Capitolo o Articolo
Testing for Asymmetries and Anisotropies in Regional Economic Models / Arbia, Giuseppe; Bee, Marco; Espa, Giuseppe; Santi, Flavio. - ELETTRONICO. - 15(2015), pp. 1-19. - DEM DISCUSSION PAPERS.
File allegati a questo prodotto
File Dimensione Formato  
Espa_Testing-for-Asymmetries_2015.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.41 MB
Formato Adobe PDF
3.41 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/857081
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact