(Under)Mining local residential property values: A semiparametric spatial quantile autoregression

Rock mining operations, including limestone and gravel production, have considerable adverse effects on residential quality of life due to elevated noise and dust levels resulting from dynamite blasting and increased truck traffic. This paper provides the first estimates of the effects of rock mining—an environmental disamenity—on local residential property values. We focus on the relationship between a house's price and its distance from a nearby rock mine. Our analysis studies Delaware County, Ohio, which, given its unique features, provides a natural environment for the valuation of property‐value‐suppressing effects of rock mines on nearby houses. We improve upon the conventional approach to evaluating adverse effects of environmental disamenities based on hedonic house price functions. Specifically, in the pursuit of robust estimates, we develop a novel (semiparametric) partially linear spatial quantile autoregressive model which accommodates unspecified nonlinearities, distributional heterogeneity, as well as spatial dependence in the data. We derive the consistency and normality limit results for our estimator as well as propose a consistent model specification test. We find statistically and economically significant property‐value‐suppressing effects of being located near an operational rock mine which gradually decline to insignificant near‐zero values at roughly a 10‐mile distance. Our estimates suggest that, all else equal, a house located a mile closer to a rock mine is priced, on average, at about 2.3–5.1% discount, with more expensive properties being subject to larger markdowns.     

MODELING THE TERM STRUCTURE FROM THE ON‐THE‐RUN TREASURY YIELD CURVE

We propose a new model to estimate the term structure of interest rates using observed on‐the‐run Treasury yields. The new model is an improvement over models that require a priori knowledge of the shape of the yield curve to estimate the term structure. The general form of the model is an exponential function that depends on the estimation of four parameters fit by nonlinear least squares and has straightforward interpretations. In comparing the proposed model with current yield‐curve‐smoothing models, we find that, for the data used, the proposed model does best overall in terms of pricing accuracy both in sample and out of sample. JEL classification: E43, G12     

Should we let employees contract away their rights against arbitrary discharge?

This article argues that the moral right to be discharged only for good cause and like rights can be contracted away by employees in appropriate circumstances. It maintains that the rights in question are not inalienable, and that there is nothing irrational about an employee's wishing to deal them away. It also maintains that inequalities in bargaining power between employers and employees are insufficiently pervasive to justify a flat ban on the alienation of these rights. For a waiver of such rights to be valid, however, employees must have full knowledge of its terms.The question addressed here bears on several legal and policy issues affecting termination of the employment relation. If employees can contract away their right to a goodcause discharge, the American doctrine of employment at willmight find justification in the face of that right. In addition, the alienability of such discharge rights may be necessary to justify express disclaimers of wrongful discharge liability and the waiver provision of the new U.S. Draft Uniform Employment-Termination Act.Michael J. Phillips is Professor of Business Law and Chairman of the Business Law Department of Indiana University's School of Business. He is a former editor-in-chief of theAmerican Business Law Journal, and has authored numerous law journal articles.     

Dynamics of the federal funds target rate: a nonstationary discrete choice approach

We apply a discrete choice approach to model the empirical behaviour of the Federal Reserve in changing the federal funds target rate, the benchmark of short‐term market interest rates in the US. Our methods allow the explanatory variables to be nonstationary as well as stationary. This feature is particularly useful in the present application as many economic fundamentals that are monitored by the Fed and are believed to affect decisions to adjust interest rate targets display some nonstationarity over time. The chosen model successfully predicts the majority of the target rate changes during the time period considered (1994–2001) and helps to explain strings of similar intervention decisions by the Fed. Based on the model‐implied optimal interest rate, our findings suggest that there is a lag in the Fed's reaction to economic shocks during this period. Copyright © 2004 John Wiley & Sons, Ltd.     

Discontinuous innovation and supply relationships: strategic dalliances

The authors address the need for supply relationships to generate, support, and respond to discontinuous innovation (DI), noting that established ways of working appear insufficient. The peculiarities of DI are explained and contrasted with well-known concepts within innovation. The need for customer firms to be both closely collaborative with suppliers while also exploring potential, unpredictable DI elsewhere is proposed, by means of strategic dalliances . A model is presented for understanding and exploring this emerging management challenge.     

The identification of South African technological innovations: A proposed methodology

Technological innovations represent significant indicators of scientific and economic vigour in any society. They are however, extremely difficult to both identify, and to evaluate in terms of their importance.

This paper addresses itself to the problems of identification and measurement. As such it forms a necessary prerequisite to a survey of technological innovations in South Africa, and, in the process, seeks to contribute to the general field of technological enquiry.     

The entropies: Some roots of ambiguity

Entropy concepts have developed in four general contexts—thermodynamics, communication theory, statistical information theory and social and life sciences. These concepts have five distinct mathematical forms. Ambiguity and complexity in utilization of the concept has been heightened by this multi-faceted heritage. Effective utilization may be strengthened by a sharper articulation of entropy through combinations of literal, mathematical and graphical modes of expression. Geography and planning as user disciplines have important responsibilities in enhancing cross-disciplinary communication of this important adisciplinary concept. Implications of these arguments for the social sciences include the need for caution in drawing social analogies from the ambiguous entropy concepts of statistical mechanics; and an indication of the potential benefits of social science models based on the unambiguous entropic constructs of statistical information theory.     

The Distributional Impact of Selected Commonwealth Outlays and Taxes and Alternative Commonwealth Grant Allocation Mechanisms

This article examines the redistributive impact of Commonwealth outlays and taxes (including outlays directed through and to the States)and two possible alternative systems of distributing Commonwealth funding amongst the States.