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...

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...

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....

Using a panel of 439 German regions we evaluate and compare the performance of various Neural Network (NN) models as forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and West Germany, NN models are computed separately...

In this paper a dynamic stochastic model is used to simulate the matching process between skills demand and supply in a segmented labor market of a typical developing area where labor market frictions are pervasive. We address the issue of the emergence of a “bad” outcome i.e. equilibrium...

One of the most important aspects of consumer surveys is the computation of the consumer confidence index, which aims to provide accurate figures on the financial position and outlook of households as well as their intention concerning future consumption and savings. . Although the motion of the...