Adjustment costs and time-to-build in factor demand in the U.S. manufacturing industry

In order to explain cyclical behavior of factor demand, the static neoclassical model of the firm has been extended to include either adjustment costs (e.g. Lucas (1967)) or time-to-build considerations as in Kydland and Prescott (1982). This paper presents an intertemporal factor demand model which accounts for adjustment costs and gestation lags. The closed form solution of the model is a highly restricted vector ARMA-process that is estimated using quarterly data for the manufacturing industry in the U.S., 1960–1988. The main conclusion is that both sources of dynamics of factor demand are identifiable and found to be empirically of importance.     

Cultural influences on the design of incentive systems: The case of East Asia

Arguing that culture moderates the potency of various incentives in motivating employees, we propose a culture-contingent model of incentive system design in this article. Four nation-level determinants of culture are identified: historical events, economic/political structure, geographical location, and language characteristics. Based on evidence found in East Asia, specific propositions that either relate a national characteristic to some cultural attributes or predict how a cultural characteristic favours a particular type of incentive system are generated. The implications of this culture-contingent model for incentive system design in multinational firms are discussed.We would like to thank Donna Randall for her helpful comments on an earlier draft.     

EFFECTS OF SMALL BUSINESS ACCOUNTING BASES AND ACCOUNTANT SERVICE LEVELS ON LOAN OFFICER DECISIONS

This study examines effects of four combinations of accounting bases and service levels — GAAP and income tax bases, and audit and review service levels — on loan officers' decisions, both separately and in interaction. It examines effects on loan decisions and perceptions of interest rates, default risk, confidence, and usefulness. The interaction of accounting basis and service level significantly affects perceived confidence but does not affect other decisions. Accounting basis and service level separately affect interest rates, default risk, and report usefulness, but do not affect the loan decision.     

Daylight saving effect

Kamstra et al. [Kamstra, M.J., Kramer, L.A., Levi, M.D., 2000. Losing sleep at the market: the daylight saving anomaly. The American Economic Review 90, 1005–1011] argue that the mean weekend return following the changes in daylight saving time is less than the mean weekend return throughout the rest of the year. Opposing studies, such as Pinegar [Pinegar, J.M., 2002. Losing sleep at the market: comment. The American Economic Review 92, 1251–1256), reason that the observed results depend upon methodology. We extend the ongoing discussions by providing further evidence for equity markets and bond markets in Germany and across Europe. We further demonstrate that the daylight saving effect does not serve as a potential rationale for the weekend effect.     

粮库粉土地基的动力特性研究

通过某国家粮食库的粉土地基土进行动三轴试验,研究了动荷载作用下粉土地基土的动力特性,得到了粉土的动孔压发展特性、液化特性和液化机理.为粮库的设计、施工及防护提供参考.     

Performance Measurement in the Public Sector: A Clarification and Agenda for Research

Despite the growing significance of performance measurement systems, theoretical evidence suggests that unique and complex characteristics in the public sector prevent performance measures being used for internal managerial purposes. A paucity of empirical studies suggests a need to shift the research agenda to interpretive methods to understand how the measures are used in a public-sector entity. A field study approach employing grounded theory is advocated to connect what is happening in practice with scholarly work.     

Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective

Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.