Execution quality in open‐outcry futures markets

This study examines the composition of customer order .flow and the execution quality for different types of customer orders in six futures pits of the Chicago Mercantile Exchange (CME). It is shown that off‐exchange customers frequently provide liquidity to other traders by submitting limit orders. The determinants of customers' choice between limit and market orders are examined, and it is found that higher bid—ask spreads increase the limit‐order submission frequency, and increased price volatility makes limit‐order submission less likely. Effective spreads, trading revenues, and turnaround times for customer liquidity‐demanding and limit orders are also documented. Consistent with evidence from equity markets, the results show that limit‐order traders receive better executions than traders using liquidity‐demanding orders, but incur adverse selection costs. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:1067–1092, 2005     

LOGISTICS MANAGERS' LEARNING ENVIRONMENTS AND FIRM PERFORMANCE

Dynamic changes in the business environment are significantly impacting supply chain logistics, resulting in unprecedented personnel demands. Organizational theorists suggest that personnel management is associated with better performance. However, relatively little is known about effective human resource practices within the logistics industry. The learning organization concept offers logistics organizations a theoretical rationale for promoting learning environments to better leverage employees' knowledge, skills, and abilities and improve performance. This research examines logistics managers' perceptions of individual level learning behavior within their organizations and its relationship to firm performance.     

A simple model of crime waves, riots, and revolutions

Standard economic models of criminal behavior analyze the criminal's decision in a partial equilibrium context. The standard model does not recognize that the probability of being punished is a function of the total amount of crime that occurs. As the total amount of crime increases, police resources become strained, courts become congested, and prisons become overcrowded. As a result, proportionately fewer criminals are apprehended, convicted, and imprisoned. The feedback effects from one criminal's decision to participate in crime to another criminal's decision can be highly significant. In one parameterization of the model developed here, the individual commits twice as many crimes for a given parameter shift than is implied by the standard model. The model also sheds light on other areas where criminal actions are interdependent such as riots, crime waves, and revolutions.     

Money and banking in a mature Walrasian economy

All financial transactions in the original Walrasian economy, as written in the édition définitive of the éléments, occur in the markets for short-term money services (the short-term bond market) and commodity E (the equity market). However, introduction of the long-term bond and the deposit markets requires only minor surgery to the original and they are now supplied, inspiring the name mature Walrasian economy. Transactions in numeraire then entail all institutions of the banking system and provide completely for money and credit. Into this economy the condition of inconvertibility, a discretionary numeraire with reserve requirements, and a central bank are introduced and clarified. Finally, multiple monetary subsystems in the same global economy are recognized and reconciled, thus establishing a global economy with a single numeraire commodity.     

Do Off‐Label Drug Practices Argue Against FDA Efficacy Requirements? A Critical Analysis of Physicians' Argumentation for Initial Efficacy Requirements

The amended Food, Drug and Cosmetics Act requires efficacy certification for a drug's initial uses (“on‐label”), but does not require certification before physicians may prescribe the drug for subsequent uses (“off‐label”). Does it make sense to require FDA efficacy certification for new drugs but not for new uses of old drugs? Using a sequential online survey, we carried on a “virtual conversation” with some 500 physicians. The survey asked whether efficacy requirements should be imposed on off‐label uses; almost all physicians said no. It asked whether the efficacy requirements for initial uses should be dropped, and most physicians said no. We then asked respondents whether opposing efficacy requirements in one case but not the other involved an inconsistency. In response, we received hundreds of written commentaries. We organize and discuss these commentaries with an eye to understanding how the medical market certifies off‐label drug uses and how this compares to FDA certification. Does off‐label medicine use suggest that efficacy requirements should be placed on new uses of old drugs? Does it suggest that efficacy requirements on new drugs should be lifted? We explore these questions, and ask whether the response of many of the doctors exhibits the familiar behavior bias toward the status quo.     

Supply response of U.K. milk producers

Short‐run own‐price response elasticities are estimated from two samples of panel data for specialist dairy farms in the Northwest and Southwest of England. Although these farms are subject to milk marketing quotas, the free tradability of quotas enables them individually to adjust the output quite rapidly. Model specifications have been chosen to test the ability of panel data to directly reveal behavioral responses without the imposition of theoretical restrictions. Significantly, the two independent samples generate quite similar results, especially in terms of supply response measures. Stable and promising estimates are obtained with simultaneous models giving higher elasticities than single equation models.     

Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data

This article explores how data envelopment analysis (DEA), along with a smoothed bootstrap method, can be used in applied analysis to obtain more reliable efficiency rankings for farms. The main focus is the smoothed homogeneous bootstrap procedure introduced by Simar and Wilson (1998) to implement statistical inference for the original efficiency point estimates. Two main model specifications, constant and variable returns to scale, are investigated along with various choices regarding data aggregation. The coefficient of separation (CoS), a statistic that indicates the degree of statistical differentiation within the sample, is used to demonstrate the findings. The CoS suggests a substantive dependency of the results on the methodology and assumptions employed. Accordingly, some observations are made on how to conduct DEA in order to get more reliable efficiency rankings, depending on the purpose for which they are to be used. In addition, attention is drawn to the ability of the SLICE MODEL, implemented in GAMS, to enable researchers to overcome the computational burdens of conducting DEA (with bootstrapping).     

The value of a flow-through entity in an integrated corporate tax system

In an integrated corporate tax system, resident shareholders receive a tax credit for corporate tax paid that can be used to offset personal tax on dividend income. Nonresident and tax-exempt (pension plan) investors cannot use the tax credit on corporate dividends and thus prefer to invest in flow-through entities. We estimate the value of the flow-through entity to nonresident and pension plan investors by examining the price change around the date of an unexpected announcement of a change in tax law related to Canadian publicly traded income trusts units creating an entity-level tax that makes them no longer tax-favored to these investors.     

Telling the data story the right way

Effective data-driven analyses of service-line performance require: Buy-in and agreement at the outset from all parties (hospital and physicians) on the validity of the data used to evaluate service-line performance, Actionable data and metrics relevant to physicians, with financial goals tangibly linked to clinical improvement, Transparent sharing of data with physicians to build their trust and support the case for change, A physician champion who can help validate findings and guide how data are presented, Willingness of physicians to acknowledge that the opportunity for improved margin depends largely on the variable costs that they control as individuals.     

Brain drain or brain bank? The impact of skilled emigration on poor-country innovation

The development prospects of a poor country or region depend in part on its capacity for innovation. In turn, the productivity of its innovators, whom are often concentrated around urban centers, depends on their access to technological knowledge. The emigration of highly skilled individuals weakens local knowledge networks (brain drain) but may also help remaining innovators access valuable knowledge accumulated abroad (brain bank). We develop a model in which the size of the optimal innovator Diaspora depends on the competing strengths of co-location and Diaspora effects for accessing knowledge. Then, using patent citation data associated with inventions from India, we estimate the key co-location and Diaspora parameters. The net effect of innovator emigration is to harm domestic knowledge access, on average. However, knowledge access conferred by the Diaspora is particularly valuable in the production of India’s most important inventions as measured by citations received. Thus, our findings imply that the optimal emigration level may depend, at least partly, on the relative value resulting from the most cited compared to average inventions.