Parameters and Relations of Stochastically Lagged and Disaggregative Time Series A model is constructed for three related time series: an inflow, a stock, and an outflow. The inflow and outflow time series are related via a truly stochasti...

Nonlinear Regressions with Integrated Time Series An asymptotic theo~yis developed for nonlinear regression with integrated processes. The models allow for nonlinear effects from unit root time series and therefore deal with the case of pa...

Integration Versus Trend Stationary in Time Series 1. INTRODUCTION A WELL-KNOWN APPROACH to modeling macroeconomic time series is to assume that the natural logarithm of the series can be represented by the sum of a deterministic time tren...

Empirical Limits for Time Series Econometric Models This paper characterizes empirically achievable limits for time series econometric modeling and forecasting. The approach involves the concept of minimal information loss in time series r...

Singularity in the Equation Systems of Econometrics Some Aspects of the Problem of Multicollinearity 1. REVIEW IN ESTIMATING an equation of the form Yt =f:%Xi$ + ut , t = 1, * * * , T , =1 it is well known that linear relationships among t...

Ridge Regression as a Technique for Analyzing Models with Multicollinearity This paper,focuses on the issue of mz~lticollinearity in ,famiv studies research. A tcchrliq~re called ridge regression is presented as a method Jor arzavzing mode...

Multicollinearity caused by Specification Errors The advantages of using linear least squares regressions induce us to adopt functions which are linear in parameters. Often this imposes unrealistically rigid constraints which may create mu...

Multicollinearity and the Mean Square Error of Alternative Estimators The problem of collinearity suggests the search for an alternative to ordinary least squares which, although biased, might reduce the mean square error of the coefficien...

Multicollinearity and Imprecise Estimation containing several explanatory variables, the precision of estimation of linear parametric functions is analysed in terms of latent roots and vectors of X'X, where Xis the matrix of values of expl...

Multicollinearity A Bayesian Interpretation TheprobIem of colIinear data sets in the context of the univariate multiple regression model has generated a confusing array of papers, comments and footnotes. Perusal of this literature does not...