TESTING FOR LINEAR AND LOG-LINEAR MODELS AGAINST BOX-COX ALTERNATIVES WITH SPATIAL LAG DEPENDENCE

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations

Abstract

Baltagi and Li (2001) derived Lagrangian multiplier tests to jointly test for functional form and spatial error correlation. This companion paper derives Lagrangian multiplier tests to jointly test for functional form and spatial lag dependence. In particular, this paper tests for linear or log-linear models with no spatial lag dependence against a more general Box-Cox model with spatial lag dependence. Conditional LM tests are also derived which test for (i) zero spatial lag dependence conditional on an unknown Box-Cox functional form, as well as, (ii) linear or log-linear functional form given spatial lag dependence. In addition, modified Rao-Score tests are also derived that guard against local misspecification. The performance of these tests are investigated using Monte Carlo experiments.

Original languageEnglish (US)
Title of host publicationSpatial and Spatiotemporal Econometrics
Pages35-74
Number of pages40
DOIs
StatePublished - Dec 1 2004
Externally publishedYes

Publication series

NameAdvances in Econometrics
Volume18
ISSN (Print)0731-9053

ASJC Scopus subject areas

  • Economics and Econometrics

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    Baltagi, B. H., & Li, D. (2004). TESTING FOR LINEAR AND LOG-LINEAR MODELS AGAINST BOX-COX ALTERNATIVES WITH SPATIAL LAG DEPENDENCE. In Spatial and Spatiotemporal Econometrics (pp. 35-74). (Advances in Econometrics; Vol. 18). https://doi.org/10.1016/S0731-9053(04)18001-8