The sliced mean variance–covariance inverse regression (SMVCIR) algorithm takes grouped multivariate data as input and transforms it to a new coordinate system where the group mean, variance, and covariance differences are more apparent. Other popular algorithms used for performing graphical...

We present a new Stata program, vselect, that helps users perform variable selection after performing a linear regression. Options for stepwise meth- ods such as forward selection and backward elimination are provided. The user may specify Mallows’s Cp, Akaike’s information criterion,...

Following spatial choice theory and MAP methodology, we employ the data drawn from recent nationwide public opinion surveys to probe the latent political choice space in American political competition. Our analyses demonstrate that, in addition to the traditional left–right ideology...

The relatively low level of concern about climate change among Americans has important implications for climate policy. While many studies have examined individual characteristics associated with climate change attitudes, fewer studies have considered the effects of environmental conditions on...

Three experiments examine how prevention-focused and promotion-focused consumers evaluate the comparison brand and what information they anchor on in direct comparative ads framed positively or negatively. Negative (vs. positive) frames lead prevention-focused respondents to exhibit higher...

Whereas a growing body of research has examined the consumer-related implications of deceptive advertising, the stock market consequences stemming from the regulatory exposure of such infractions remain largely unexplored. In a step to address this gap, the current research examines the effect...