Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information...

This is the fourth of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In...

This is the fifth of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In...

Until recently, the formal model for the estimation of audit risk was relatively straightforward. There were two major approaches: the familiar multiplicative planned risk model in the USA and UK; and the Canadian Bayesian posterior risk model. Recent work has substantially changed the framework...

In market share analysis, it is fully recognized that we have often inadmissibly predicted market share, which means that some of predictors take the values outside the range [0, 1] and the total sum of predicted shares is not always one, so‐called “logical inconsistency”. Based on the...

Marketing management is often portrayed as an information‐intensive process. Indeed the willingness to spend on market research is seen by some as a proxy for marketing orientation[1]. In the best firms this information is processed and disseminated by means of marketing information systems;...