Abstract. In this paper we design an econometric test for monotone comparative statics (MCS) often found in models with multiple equilibria. Our test exploits the observable implications of the MCS prediction: that the extreme (high and low) conditional quantiles of the dependent variable increase monotonically with the explanatory variable. The main contribution of the paper is to derive a lik...

We wish to model pulse wave velocity (PWV) as a function of longitudinal measurements of pulse pressure (PP) at the same and prior visits at which the PWV is measured. A number of approaches are compared. First, we use the PP at the same visit as the PWV in a linear regression model. In addition, we also use the average of all available PP's as the explanatory variable in a linear regression mo...

Though our quasi-experiment approach (described in the “Results” section), using a treatment-to-control matching algorithm, is a well-accepted methodology to purge out confounding effects, one may still argue that the Treatmenth variables might still be subject to potential endogeneity. For example, providers with higher duplication rates may be more likely to implement health information shari...

In some quality control applications, the quality of a process or a product is described by the relationship between a response variable and one or more explanatory variables, called a profile. Moreover, in most practical applications, the qualitative characteristic of a product/service is vague, uncertain and linguistic and cannot be precisely stated. The purpose of this paper is to propose a ...

The multinomial logit model is the most widely used model for nominal multi-category responses. One problem with the model is that many parameters are involved, another that interpretation of parameters is much harder than for linear models because the model is non-linear. Both problems can profit from graphical representations. We propose to visualize the effect strengths by star plots, where ...

We discuss the prediction of a spatial variable of a multivariate mark composed of both dependent and explanatory variables. The marks are location-dependent and they are attached to a point process. We assume that the marks are assigned independently, conditionally on an unknown underlying parametric field. We compare (i) the classical non-parametric Nadaraya–Watson kernel estimator based on t...

A new stepwise regression program (SROV) for the construction of optimal (stable and of highest possible accuracy) regression models comprised of linear combination of independent variables and their non-linear functions is described. The program uses for regression QR decomposition based on Gram /Schmidth orthogonalization, which is highly resilient to numerical error propagation. Variables ar...

[Purpose] The purpose of this study was to investigate a comprehensive understanding of the factors associated with falls in poststroke patients. [Subjects] Forty-eight stroke patients (22 males and 26 females; age 63.79 years) participated in this study. [Methods] This study applied a cross-sectional design. Fear of falling [Falls Efficacy Scale (FES)], balance function [Berg Balance Scale (BB...

I provide an account of the psychological elements that combine within an actor, motivating them to vote. Political scientists have written extensively on the topic of turnout, however, no one has attempted to explain turnout based primarily on political culture. Political culture has improved our understanding of states, parties, and elections alike. This thesis uses a political culture ordina...