We investigate the behaviors of subjects who either do or do not adhere to the expected utility theory using the Becker-DeGroot-Marschak (BDM) method. We directly examine the validity of the expected utility theory in order to distinguish subjects into two groups: those who adhere to the...

When two groups are present, they are said to form an allometric model, if one group is the extension of the other group along the main axis of variation. The model is widely used in the context of principal component analysis, especially for the description of growth processes of creatures. In...

This paper complements the results of Tong (Ann. Statist. 17 (1989) 429), Shaked and Tong (Ann. Statist. 20 (1992) 614) and Eaton (in: Stochastic Inequalities, IMS Lecture Notes Monograph Series, Vol. 22, 1993, 76) by deriving some monotonicity results associated with intra-inter-class...

In a general normal regression model, this paper first derives the LUB(least upper bound)for the covariance matrix of a GLSE relative to the applied to the (unrestricted) Zellner estimator in the N-equation SUR model and to the GLSE in a heteroscedastic model.

In this paper, first we make a maximal extension of the well-known Gauss-Markov Theorem (GMT) in its linear framework. In particular, the maximal class of distributions of error term for which the GMT holds is derived. Second, we establish a nonlinear version of the maximal GMT and describe some...

We investigate whether non-tradable service FDI is efficient from a welfare point of view. A fixed number of firms strategically decide which markets to locate in and then compete in quasi-Cournot fashion. Considering firm location in two symmetric markets, non-tradable service FDI may or may...

This paper investigates the efficiencies of several generalized least squares estimators (GLSEs) in terms of the covariance matrix. Two models are analyzed: a seemingly unrelated regression model and a heteroscedastic model. In both models, we define a class of unbiased GLSEs and show that their...