Decomposition analysis of consumers' demand changes: an application to Greek consumption data

A decomposition analysis for consumer demand functions is developed. Changes in Marshallian demand or expenditure shares functions over time are decomposed into a total substitution effect, an income effect, and a habit effect. This framework is applied to post-war Greek consumption patterns through a habit persistence version of the Quadratic Almost Ideal Demand System (QUAIDS). It is found that for all commodity categories (i.e., food, beverages and tobacco, footwear and clothing, settling and housing, and others) the income effect was the main driving force in explaining changes in both quantity demanded and expenditure shares, followed by habit and total substitution effects.     

Technological Progress,Income Distribution,and The Explanation of Some Stylized Facts of Economic Growth

This paper examines the effects of technological progress in the framework of a specific-factor variant of the “dependent economy” model. We analyse, first, the effects of technological progress on income distribution, and secondly, its effects on commodity prices, and the structure of production. Our model predicts that, services must be more expensive in the country with higher per capita GDP, and that labor productivity in manufactures is positives associated with the per capita income, etc. The model can also explain several other stylized facts of economic growth. [O33, F11]     

Loan Loss Severity and Optimal Mortgage Default

This paper tests the contingent claims model of mortgage default in its ruthless or frictionless form. The principal tests of the model are based on an unconventional source of data, namely, loan loss severities on defaulted mortgages. The frictionless model has well-defined predictions about loss severities which we test in detail. The data analyzed include a random sample of all mortgages originated during the period 1975–90 and purchased by Freddie Mac, as well as the loss severities on all mortgages purchased by Freddie Mac which defaulted during the period. The frictionless model does not do well in these tests.     

Centralized and decentralized control polices for a two-stage stochastic supply chain with subcontracting

An analysis of control policies for a two-stage supply chain with subcontractors at each stage is presented when decisions at each stage concerning safety stocks, backorders, and subcontracting are made jointly or in a decentralized manner. The inventory/admission control policies considered are base stock, echelon base stock and partial backordering, and the objective is to maximize the mean profit rate of the system. The optimal control parameters are found by exhaustive search using Markov chains. From numerical examples it appears that the policies which manage jointly sales and production levels in each stage provide much higher overall (system) profits than decentralized policies, although the latter are individually more profitable for the second stage. In addition, partial backordering provides the system with an extra profit above those that result from the lost sales (no backordering) and complete backordering policies. Finally, a number of numerical results show the impact of variations in certain system parameters on the optimal control parameters and the corresponding profit.     

User,Use & Utility Research

Business and Information Systems Engineering (BISE) is at a turning point. Planning, designing, developing and operating IT used to be a management task of a few elites in public ad-ministrations and corporations. But the continuous digitization of nearly all areas of life changes the IT landscape fundamentally. Success in this new era requires putting the human perspective – the digital user – at the very heart of the new digitized service-led economy. BISE faces not just a temporary trend but a complex socio-technical phenomenon with far-reaching implications. The challenges are manifold and have major consequences for all stakeholders, both in information systems and management research as well as in practice. Corporate processes have to be re-designed from the ground up, starting with the user’s perspective, thus putting usage experience and utility of the individual center stage. The digital service economy leads to highly personalized application systems while organizational functions are being fragmented. Entirely new ways of interacting with information systems, in particular beyond desktop IT, are being invented and established. These fundamental challenges require novel approaches with regards to innovation and development methods as well as adequate concepts for enterprise or service system architectures. Gigantic amounts of data are being generated at an accelerating rate by an increasing number of devices – data that need to be managed. In order to tackle these extraordinary challenges we introduce ‘user, use & utility’ as a new field of BISE that focuses primarily on the digital user, his or her usage behavior and the utility associated with system usage in the digitized service-led economy. The research objectives encompass the development of theories, methods and tools for systematic requirement elicitation, systems design, and business development for successful Business and Information Systems Engineering in a digitized economy – information systems that digital users enjoy using. This challenge calls for leveraging insights from various scientific disciplines such as Design, Engineering, Computer Science, Psychology and Sociology. BISE can provide an integrated perspective, thereby assuming a pivotal role within the digitized service led economy.     

A realistic model of market liquidity and depth

A model that realistically defines market liquidity and depth is introduced. Liquidity is the expected rate of order execution in shares per minute. Depth is the average density of the limit order book in shares per dollar. Illiquid markets tend to exhibit longer execution delays and indirectly higher risk related to price impact. Markets with low depth are characterized by high price sensitivity and larger risks. Deviations from fundamental value exist because arbitraging them away carries liquidity cost, entails impact risk, and generates negatively skewed profits. Premia include liquidity and transparency components. In order to avoid excessive frontrunning and liquidity withholding around their block trade, traders break their block orders into smaller orders. In anonymous markets, the trader discriminates against early liquidity providers, and is only compensated for liquidity. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:443–464, 2005