Farmers and other producers are responding to consumer concerns about pesticides by creating new marketing opportunities for products grown with environmentally sound practices. The eco-label analyzed in this study is certified by The Food Alliance (TFA), a non-profit third-party certifying organization based in Portland, Oregon. We assess the mean willingness to pay (WTP) for eco-labeled apples using a double-bounded logit model. We conclude that female respondents with children, and strong environmental and food safety concerns are more likely to pay a premium for eco-labeled apples. However, the estimated premium is small (about 5 cents per pound over an initial price of 99 cents), reflecting the overall difficulty with garnering a premium based on "environmentally sound" practices.

Many economists have estimated hedonic price functions for red and white wine. However, estimating a single hedonic price function imposes the assumption that the implicit prices of the attributes are the same for any red or white wine. We argue that even within these two categories, wines are differentiated, and disregarding this heterogeneity causes an aggregation bias in the estimated implicit prices. By estimating hedonic functions specific to price ranges, we show that the wine market is segmented into several product classes or market segments. We find that a model accounting for the existence of wine classes has greater ability to explain the variability in the data and produces more accurate and interpretable results regarding the implicit prices of the attributes. Copyright 2007 The Agricultural Economics Society.

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure-likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.

This study uses a travel-cost model to analyse the attendance impacts on Major League Baseball (MLB) of the closest substitute MLB team. It is found that the closer two teams are, the lower attendance is at each team relative to two teams that are farther apart. In addition, when a new team moves into the area of an existing team, there is an additional initial reduction in attendance for the incumbent team. This has implications for actions aimed at changing the number of teams in MLB either by contraction or by possible antitrust approaches that would increase the number of teams, especially in megalopolis markets. Further, and consistent with past demand studies, pricing is in the inelastic portion of gate demand and fan loyalty is a significant contributor to the estimation of gate attendance.

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