The paper provides probability estimates of the state of the GDP growth. A regime-switching model defines the probability of the Greek GDP being in boom or recession. Then probit models extract the predictive information of a set of explanatory (economic and financial) variables regarding the state of the GDP growth. A contemporaneous, as well as a lagged, relationship between the explanatory v...

This paper concerns a method of selecting the best subset of explanatory variables for a linear regression model. Employing Mallows’ Cp as a goodness-of-fit measure, we formulate the subset selection problem as a mixed integer quadratic programming problem. Computational results demonstrate that our method provides the best subset of variables in a few seconds when the number of candidate expla...

C5.3.1 Random slope model .................................................................... 23 C5.3.2 Example of random slope for a continuous explanatory variable: allowing the relationship between hedonism and age to differ across countries ............. 25 C5.3.3 Centring in a random slope model .................................................... 28 C5.3.4 Example of random slope for a d...

This paper describes the usefulness of the group of multivariate techniques belonging to ordination for the analysis of ecotoxicological data sets. It is argued that although ecotoxicologists often gather multivariate data sets, they usually do not evaluate them with techniques that can handle multivariate data. Ordination techniques enable the researcher to extract an underlying structure out ...

The selection of an optimal regression model comprising linear combinations of various integer powers of an independent variable (explanatory variables) is considered. The optimal model is defined as the most accurate (minimal variance) stable model, where all parameter estimates of the orthogonalized explanatory variables are significantly different from zero. The potential causes that limit t...

O research function is proposing new scientific theories; another is testing the falsifiable predictions of those theories. Eventually, sufficient observations reveal valid predictions. For the impatient, behold statistical methods, which attribute inconsistent predictions to either faulty data (e.g., measurement error) or faulty theories. Testing theories, however, differs from estimating unkn...

A central question for empirical economics, particularly economic growth, is which explanatory variables to include and exclude in the regressions. This paper aims to identify variables strongly correlated with provincial income growth in the Philippines by applying robustness procedures in determining which variables are strongly correlated with income growth. The extreme bound analysis (EBA) ...

This paper uses plant-level data from EPA and Census databases to incorporate spatial components in models of the environmental performance (compliance and emissions) of manufacturing plants. The spatial approaches include creating explanatory variables based on information related to the plant’s location and the location of nearby plants, testing for spatial autocorrelation in environmental pe...