This paper presents a Bayesian methodology for estimating probability of a downturn in the economy and applies it to the 2007-2008 state of the U.S. economy with the focus on investigating the occurrence of a recession. In the methodological development, information theory (Kullback and Shannon)...

In modeling a combination of forecasts all the information related to the past performance of the individual forecasts, including accuracy and correlation, is considered. In this paper I have extended the modeling to incorporate a rank ordering of the forecasts by a decision maker. This ordering...

This paper presents a paper for producing a probability forecast of a turning point in U.S. economy using Composite Leading Indicators. This methodology is based on classical statistical decision theory and uses information-theoretic measurement to produce a probability. The methodology is...

On November 26, 2001, the National Bureau of Economic Research announced that the U.S. economy had officially entered into a recession in March 2001. This decision was a surprise and did not end all the conflicting opinions expressed by economists. This matter was finally settled in July 2002...

This paper presents a new Bayesian methodology for predicting a turning point in an economic system. The methodology utilizes information-theoretic measurements for assessing likelihood functions for a turning point. This methodology shows that the total information of a likelihood function...

The problem of modeling the revision of the information of a decision maker based on the information of the expert sources is considered. The basic model assumes that the information of the decision maker and expert sources is in the form of the probability mass functions. The modeling approach...