In this chapter we show that all the known estimators of the coefficients of econometric models are inconsistent if their coefficients and error terms are not unique. In their stead, we present models having unique coefficients and error terms, with specific applicability to the analyses of...

As every econometrician knows, in a regression with one regressor, the dependent and explanatory variables may be spuriously correlated if they may have been affected by some third variable, a common cause. In a highly regarded article, Granger and Newbold (1974) were not concerned with this...

It is often thought that the error term in a regression represents the net effect of omitted variables. This poses a problem whenever the purpose of a model is to explain an economic phenomenon, because the estimated coefficients as well as the error will be wrong in the sense that they are not...

Thirty-five years ago, J. W. Pratt and Robert Schlaifer published a critique of then ruling econometric techniques. Introducing a distinction between factors and concomitants in regressions, they determined that a “condition for consistent estimation stated in virtually every book on...

It has been argued that whenever regression models involve nonstationary and trending variables, the estimation methods appropriate to stationary series cannot be applied to such models and instead require cointegration techniques. Unfortunately, the extant methodology applied to cointegration...