The robustness of the results coming from an econometric application depends to a great extent on the quality of the sampling information. This statement is a general rule that becomes especially relevant in a spatial context where data usually have lots of irregularities. The purpose of this paper is to examine more closely this question paying attention to the impact of multicollinearity. It ...

Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls of their own. The ridge estimator is not generally accepted as a vital alternative to the ordinary least−squares (OLS) estimator because it depends upon unknown parameters. The generalized maximum entropy estimator depends upon subjective exogenous information. This paper presents a novel maximu...

issues in the detection and interpretation of interaction effects between quantitative variables in multiple regression analysis are discussed. Recent articles by Cronbach (1987) and Dunlap and Kemery (1987) suggested the use of two transformations to reduce "problems" of multicollinearity. These transformations are discussed in the context of the conditional nature of multiple regression with ...

One of the most problematic issues in contemporary meta-analysis is the estimation and interpretation of moderating effects. Monte Carlo analyses are developed in this article that compare bivariate correlations, ordinary least squares and weighted least squares (WLS) multiple regression, and hierarchical subgroup (HS) analysis for assessing the influence of continuous moderators under conditio...

To date, the valuation of environmental quality has been severely hampered by our ability to actually measure quality. Often environmental resources are described by exhaustive lists of attributes. Unfortunately, high multicollinearity among attributes leads to serious econometric problems. The use of too few attributes, on the other hand, leads to underspecification of the valuation model. Fin...

the aim of this study was to evaluate the differences between cold carcass weights (ccw) for the catalan pyrenean horse (cavall pirinenc català) breed according to different variables: area of origin, farm, gender and age. linear regression models were applied using a generalized linear model (glm) procedure for ccw of 397 animals (217 males and 180 females) slaughtered in a commercial abattoir...