Quasi‐rational and ex ante price expectations in commodity supply models: an empirical analysis of the US broiler market

A statistically optimal inference about agents' ex ante price expectations within the US broiler market is derived using futures prices of related commodities along with a quasi‐rational forecasting regression equation. The modelling approach, which builds on a Hamilton‐type framework, includes endogenous production and allows expected cash price to be decomposed into anticipated and unanticipated components. We therefore infer the relative importance of various informational sources in expectation formation. Results show that, in addition to the quasi‐rational forecast, the true supply shock, future prices, and ex post commodity price forecast errors have, at times, been influential in broiler producers' price expectations. Copyright © 2003 John Wiley & Sons, Ltd.     

Measuring the Impact of Regulation: A Study of Canadian Basic Cable Television

We evaluate the appropriateness of regulation within the Canadian cable television industry by applying both parametric and non-parametric approachesto measure scale efficiency. Although we begin with a sample offering adequatedegrees of freedom for parametric estimation, important policy issues lead us toconsider further estimation over sub-samples. Since some of these sub-samplesare small enough that parametric models cannot guarantee reliable estimates, weobtain production characteristics non-parametrically through data envelopmentanalysis. The nonparametric results for scale efficiency support the parametricresults. We find evidence against a natural monopoly argument that might havejustified continuation of the mandated monopolization of Canadian cable televisionservice. By the end of the sample period, there were no longer substantial economiesof scale in most relevant markets.     

Tailored Regulation: Will Voluntary Site-Specific Environmental Performance Standards Improve Welfare?

Increasingly popular tailored regulation (TR) initiatives like the Environmental Protection Agency's Project XL allow industrial facilities to voluntarily substitute site-specific environmental performance standards for inefficient command-and-control regulations. TR can significantly reduce participants' costs of complying with environmental regulations, but in doing so it can also give these participants a competitive advantage. Here we develop an analytical model to show that TR can have adverse welfare effects when if enables relatively inefficient firms in oligopolistic markets to “steal” market share from more efficient firms, and we characterize the regulatory policies that give rise to such outcomes. We also show that regulators' efforts to diffuse the benefits of site-specific agreements among nonparticipating firms dampen incentives to participate in TR.     

Earnings management by the early adopters of SFAS No. 106

Statement of Financial Accounting Standard (SFAS) No. 106 on Nonpension Postretirement Benefits (NPB) provides managers with a relatively long adoption window and choice of transition methods which can be used by affected companies to manage earnings. This paper examines whether management's choice of adoption timing is motivated by the desire to manage earnings. Fisher's [1934] exact probability analysis is used to test the hypothesis regarding profitability of a sample of 200 early and late adopters of SFAS No. 106. The results indicate that the profitability of adopting the income-reducing accounting standard (SFAS No. 106) early is significantly higher for more profitable firms than for less profitable firms.     

Demarketing as a differentiation strategy

Demarketing discourages consumers from buying. This paper shows that demarketing can be a profitable alternative when differentiation through product improvements is not cost effective. The impact of differentiating demarketing on profit, market share, consumers, and total welfare is investigated.This research began while Hess was visiting MIT's Sloan School of Management and was finished while visiting University of Haifa; he thanks both for their support.     

VAR,ERROR CORRECTION AND PRETEST FORECASTS AT LONG HORIZONS

This paper focuses on the construction of forecasts over long horizons where a typical long-horizon forecast might span four years using 20 to 40 years’ data. It is argued that the presence of persistence in the form of unit or near-unit autoregressive roots poses substantial difficulties for long-horizon interval and point forecasting. These difficulties may not be overcome even by efficient pre-testing or model-selection procedures and might, in general, lead to point forecasts with large asymptotic root mean squared errors and undesirably wide prediction intervals.