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DIAGNOSTICS FOR REGRESSION MODELING IN SPATIAL ECONOMETRICS *
Author(s) -
Haining Robert
Publication year - 1994
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/j.1467-9787.1994.tb00870.x
Subject(s) - econometrics , statistics , econometric model , variance (accounting) , regression analysis , spatial econometrics , regression , aggregate (composite) , spatial analysis , mathematics , economics , materials science , accounting , composite material
. This paper describes statistics for model criticism in spatial econometrics. The purpose of these statistics is to evaluate how well a chosen model fits the data and to identify influential cases and how they affect the aggregate picture. The paper reviews results in Martin (1992) for the regression model with correlated errors where the coefficients of the variance matrix are assumed either known or fixed. The problems of applying the statistics in spatial econometric modeling are discussed. An application is reported which considers diagnostics for the mean function and highlights cases that might influence estimates of the parameter of the error model. Different ways of assessing the influence of cases are also described.