Across the social sciences, lagged explanatory variables are a common strategy to confront challenges to causal identification using observational data. We show that "lag identification"--the use of lagged explanatory variables to solve endogeneity problems--is an illusion: lagging independent...

This study aims to measure student’s attitude towards statistics through a model that considers the variables proposed by Auzmendi (1992). Was examined whether the constructs: usefulness, motivation, likeness, confidence and anxiety influence the student's attitude towards statistics. Were...

This paper aims at identifying a most frequently multivariate technique,Principal Components Analysis (PCA), to solve a multicollinear single equation econometric model .results of the method used were compared to Ordinary Least Squares (OLS) and(Two Stages Least Squares (2SLS) to see if...

These articles provide a discussion of studies presented in a session on spatial econometrics, focusing on the ability of spatial regression models to quantify the magnitude of spatial spillover impacts. Both articles presented argue that a proper modeling of spatial spillovers is required to...

Considering as a starting point certain advantages and limits of the VAR model, we propose an opening to include some approaches suggested particularly by economic theory, such as economic policy role and that concerning corrections applied to restore an equilibrium state or a forecast error. In...