We argue that the current framework for predictive ability testing (e.g., West, 1996) is not necessarily useful for real-time forecast selection, i.e., for assessing which of two competing forecasting methods will perform better in the future. We propose an alternative framework for...

In this paper, we develop a parametric test procedure for multiple horizon "Granger" causality and apply the procedure to the well established problem of determining causal patterns in aggregate monthly U.S. money and output. As opposed to most papers in the parametric causality literature, we...

An ARIMA linear transfer function model is estimated for El Paso, Texas. Sample data are from January 1994 through December 2002. Beyond parameter estimation, empirical analysis is also carried out using out- of-sample model simulations. Results indicate that the equation forecasts compare...

Linear transfer ARIMA analysis of monthly per meter water consumption is conducted for Chihuahua City, Mexico. Sample data from January 1988 to December 2000 are analyzed. Time series utilized include water system revenue, climate, and industrial production data. Out-of-sample simulations are...

Concern is growing regarding the poverty impacts of trade liberalization. The strong general equilibrium effects of trade liberalization can only be properly analysed in a CGE model. However, the aggregate nature of CGE models is not suited to detailed poverty analysis. We bridge this gap by...

This paper investigates the usefulness of Italian consumer surveys as estimation and forecasting tool over the period 1982-2003. To this end, standard consumption equations are estimated and then compared, in terms of in-sample and out-of-sample predictive ability, with corresponding models...

The investment acceleration principle is a heuristic for modeling investment time series out of consumption time series. The model presented herein develops a disaggregated accelerator equation whose coefficients are the weights of a Kohonen neural net that represents firms' decision-making....

Investment decision-making is modeled by means of a Kohonen neural net, where neurons represent firms. This is done in order to model investments in novel fields of economic activity, that according to this model are carried out when firms recognize the emergence of a new technological pattern....

For the purpose of determining the influence of the amount of savings circulating in national economy on that economy's growth or drop, a discrete mathematical model with one commodity was developed describing its production as a function of joint investments, depreciation, and introduction of...

Schumpeter maintained that oscillations of macroeconomic variables are only the "secondary wave" of business cycles, a reflex of more fundamental "primary waves" at the microeconomic level caused by the innovative activity of entrepreneurs. Uniting Schumpeter's concern for innovation with...