We present a new Stata estimation program, mboxcox, that computes the normalizing scaled power transformations for a set of variables. The multivari- ate Box–Cox method (defined in Velilla, 1993, Statistics and Probability Letters 17: 259–263; used in Weisberg, 2005, Applied Linear Regression...

We present a new Stata command, mmp, that generates marginal model plots (Cook and Weisberg, 1997, Journal of the American Statistical Association 92: 490–499) for a regression model. These plots allow for the comparison of the fitted model with a nonparametric or semiparametric model fit. The...

Abstract The issue of climate change and its potential effects on natural and human systems is becoming more prevalent on citizen and policymaker agendas. Studies of the factors framing citizen levels of concern about climate change and potential policy reactions to it are mainly framed around...

This study reviews and synthesizes the literature on foreign direct investment in the Philippines in terms of the size, composition, determinants and the benefits and costs of direct investment in the Philippines. The study shows that while the benefits from foreign investments are not...

The finite sample performance of a number of linear regression estimators is investigated in a variety of parametric settings involving outliers. A Bayesian approach is shown to have good overall comparative performance. It is then shown how the same Bayesian methodology can be easily extended...

This study predicts stock splits using two ensemble machine learning techniques: gradient boosting machines (GBMs) and random forests (RFs). The goal is to form implementable portfolios based on positive predictions to generate abnormal returns. Since splits are rare events, we use SMOTE...