This paper addresses a very profound question concerning financial accounting. Is financial accounting measurement. as represented by diverse valuation rules. hodgepodge or is it logically developed? Salvary [1985. p.28. Chap. IV] advances and provides a theoretical development of the concept of...

If each member of a group assigns a certain probability to a hypothesis, what probability should the collective as a whole assign? More generally, how should individual probability functions be merged into a single collective one? I investigate this question in case that the individual...

This paper develops a utility model for evaluating lotteries. In estimating utility, risk averse people use an asymmetric loss function. Expected utility is seen as a special case that is a good approximation in some cases. The model resolves several paradoxes and makes easily falsifiable...

This paper develops a utility model for evaluating lotteries. In estimating utility, risk averse people use an asymmetric loss function. Expected utility is seen as a special case that is a good approximation of the general case in some cases. The model resolves several paradoxes and makes...

We propose a Bayesian methodology that enables banks to improve their credit scoring models by imposing prior information. As prior information, we use coefficients from credit scoring models estimated on other data sets. Through simulations, we explore the default prediction power of three...

Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider noninformative and weakly informative...

Explained variance (R^2) is a familiar summary of the fit of a linear regression and has been generalized in various ways to multilevel (hierarchical) models. The multilevel models we consider in this paper are characterized by hierarchical data structures in which individuals are grouped into...

In this paper we consider bayesian semiparametric regression within the generalized linear model framework. Specifically, we study a class of autoregressive time series where the time trend is incorporated in a nonparametrically way. Estimation and inference where performed through Markov Chain...

This paper extends the analogy previously established by Leamer (1978a), between a Bayesian inference problem and an economics allocation problem, and shows that posterior modes can be interpreted as optimal outcomes of a bargaining game. This bargaining game, over a parameter value, is played...

This is an Invited paper for the World Congress of the Econometric Society held in Seattle in August 2000. We discuss the strong connections between auction theory and "standard" economic theory, and argue that auction-theoretic tools and intuitions can provide useful arguments and insights in a...