Many structural econometric models include latent variables on whose probability distributions one may wish to place minimal restrictions. Leading examples in panel data models are individual-specific variables sometimes treated as "fixed effects" and, in dynamic models, initial conditions. This...

Many structural econometric models include latent variables on whose probability distributions one may wish to place minimal restrictions. Leading examples in panel data models are individual-specific variables sometimes treated as "fixed effects" and, in dynamic models, initial conditions. This...

Purpose Efficient management of earthmoving equipment is critical for decision-makers in construction engineering management. Thus, the purpose of this paper is to prudently identify, select, manage and optimize the associated decision variables (e.g. capacity, number and speed) for trucks and...

This paper uses a neoclassical open economy general equilibrium model to determine the effects of the budget deficit and national debt on some key domestic variables while examining the interdependence and repercussion effects between the U.S. economy and the rest of the world. The empirical...

This article analyzes the evolution of the gross domestic product per inhabitant correlated with the variation of the employment rate by participation in economic activity in the eight development regions of Romania in 2000-2012 period. To achieve the correlation between the two indicators, the...

Linear regression model involves the identification of variables for defining specification for variable and model residuals; the context in which the regression model is used. Analysis of chronological (time) using a temporal function which, in essence, is also a regression, with a variable...