Mature Australian consumers' adoption and consumption of self-service banking technologies

The slow diffusion of self-service banking technologies (SSBTs) into the mature consumer market necessitates research to understand better this growing section of the population and the diversity that exists within this market. This research analyses the 50+ market through a segmentation approach based on the level of use of SSBTs. Three segments were identified: non-users, low users and medium-to-high users of SSBTs; these are profiled by frequency of use and demographic variables. The medium-to-high user segment embraces a range of SSBTs and uses credit cards to facilitate their financial activities. Non-users and some low users prefer the customary way of conducting transactions and enjoy the personal interaction with the bank employee. These two segments do, however, have a moderate level of credit card use. Finally, a small percentage of diffusion discontinuance was identified in this study of the mature consumer market.     

BEA's Regional Economic Accounts Program: Recent and Planned Improvements

This article highlights recent improvements and plans for further improvements to each of BEA’s major regional economic accounts programs. The improvements focus on the acceleration of release of the estimates and on the preparation of new and extended estimates. There also is a brief discussion on BEA’s research effort to improve the regional accounts.JEL Classification E010     

Intelligent Order Matching Systems for Commodity Markets

Automatic order matching systems have emerged as an electronic alternative to traditional markets. In current automatic order matching systems, price and quantity are the only product dimensions used for the order matching. However, a single-commodity market is made up of many heterogeneous goods which are close to each other but different in qualities and delivery conditions. Price and quantity are important but represent only parts of product attributes that commodity traders want to take into account. This study aims to extend current automatic order matching systems by diversifying product dimensions. An intelligent order matching system not only maximizes the total transaction volume based on the price and quantity but also satisfies traders' qualitative preferences over attributes other than price and quantity. The intelligent order matching mechanism combines an economic model with a preference model to incorporate both quantitative and qualitative utility of market participants. Constraint logic programming is investigated as a new information technology to structure and implement the intelligent order matching system.     

An appreciation of our referees

Editorial

An appreciation of our referees     

On the smoothness of optimal paths II: some local turnpike results

We study the local turnpike property for two classes of infinite-horizon discrete-time deterministic maximization problems which have common applications, e.g., optimal growth theory. We follow a functional-analytic approach and rely on an implicit function theorem for the space of the sequences which converge to zero. We shall assume the existence of an optimal path which is not necessarily a steady-state. Relying on material developped in Blot and Crettez (Decis Econo Finance 27:1–34, 2004), “On the smoothness of optimal paths” Decis Econ Finance, 21:1–34, 2004), we provide conditions under which a variation in the initial conditions (i.e., capital stock and discount rate) yields an optimal solution which converges toward a reference solution when time becomes infinite. We also provide new results on bounded solutions of difference equations. We gratefully thank the editor, Silvano Holzer, and two anonymous referees for remarks and advices on a previous version of this paper.     

Progressive stress accelerated life tests under finite mixture models

In this paper, progressive stress accelerated life tests are considered when the lifetime of a product under use condition follows a finite mixture of distributions. The experiment is performed when each of the components in the mixture follows a general class of distributions which includes, among others, the Weibull, compound Weibull, power function, Gompertz and compound Gompertz distributions. It is assumed that the scale parameter of each component satisfies the inverse power low, the progressive stress is directly proportional to time and the cumulative exposure model for the effect of changing stress holds. Based on type-I censoring, the maximum likelihood estimates (MLEs) of the parameters under consideration are obtained. A special attention is paid to a mixture of two Rayleigh components. Simulation results are carried out to study the precision of the MLEs and to obtain confidence intervals for the parameters involved.