Burying Evidence\u27s Dead Hand

When the Rhode Island Rules of Evidence were adopted, they displaced all inconsistent case law existing at the time. Though the Rules retain a great deal of the evidence practice that preceded them, there is much in evidence practice that changed with their adoption. Rhode Island courts have consistently applied Rule 403 in a manner that comports with practice as it existed before the enactment of the Rhode Island Rules of Evidence. That practice, though, is inconsistent with the plain language of the Rule. These doctrines must be discarded

STATIC MODELING OF DYNAMIC RECREATION BEHAVIOR: IMPLICATIONS FOR PREDICTION AND WELFARE ESTIMATION

This paper examines the consequences of using a static model of recreation trip-taking behavior when the underlying decision problem is dynamic. In particular, we examine the implications for trip forecasting and welfare estimation using a panel dataset of Lake Michigan salmon anglers for the 1996 and 1997 fishing seasons. We derive and estimate both a structural dynamic model using Bellman's equation, and a reduced-form static model with trip probability expressions closely mimicking those of the dynamic model. We illustrate an inherent identification problem in the reduced-form model that creates biased welfare estimates, and we discuss the general implications of this for the interpretation of preference parameters in static models. We then use both models to simulate trip taking behavior and show that although their in-sample trip forecasts are similar, their welfare estimates and out-of-sample forecasts are quite different.Research Methods/ Statistical Methods,

INTERNAL CONSISTENCY IN MODELS OF OPTIMAL RESOURCE USE UNDER UNCERTAINTY

For several decades, economists have been concerned with the problem of optimal resource use under uncertainty. In many studies, researchers assume that prices evolve according to an exogenous stochastic process and solve the corresponding dynamic optimization problem to yield an optimal decision rule for exploitation of the resource. This study is motivated by our attempt to understand the relationship between efficiency in resource markets and optimal harvest decisions in which price is an exogenous state variable. The literature on optimal commodity storage finds that in a rational expectations equilibrium commodity prices are stationary and serially correlated. Yet recent papers on optimal timber harvesting that assume exogenous stationary prices generate harvest rules inconsistent with the price processes on which they are based. In this study, we investigate the appropriate form of the stochastic process governing prices of renewable resources. We develop a model in which timber is supplied by profit-maximizing managers with rational expectations and aggregate timber demand is subject to independent exogenous shocks. In contrast to earlier studies, prices are endogenously determined. Managers know the structure of the timber market and form expectations of future market equilibria in making optimal harvesting decisions. We show under general conditions that efficient timber prices are stationary and serially correlated. Stationarity and serial correlation are shown to arise from two sources: the occurrence of stock-outs (i.e., depletion of the inventory) and stock-dependent growth of the resource. Further, we show that prices retain these properties even in the absence of stock-outs. Simulations are used to further illustrate the analytical results. Our findings have implications for a large number of economic analyses of optimal resource use. First, our results reveal why extraction rules for renewable resources based on exogenous price specifications are internally inconsistent, even when the specification conforms to the stochastic behavior of prices generated by an efficient market. These prices arise in a particular structural environment, and if large numbers of resource managers adopt the harvesting rule, the underlying structural environment would change, and the price process would deviate from that used to derive the harvesting rule. Second, we show that there can be no gains from exploiting the stochasticity of resource prices in a rational expectations world, a finding that challenges the prescriptive policies for resource use found in many studies, including those on option values. Third, our results show that time-series analyses designed to test for the efficiency of renewable resource markets cannot distinguish prices generated in an efficient market from those generated in an inefficient market. Finally, we extend the literature on optimal storage. Previous models of commodity storage models are shown to be a special case of our model involving age-independent depreciation of the inventory.Resource /Energy Economics and Policy,

SPATIAL SEARCH IN COMMERCIAL FISHING: A DISCRETE CHOICE DYNAMIC PROGRAMMING APPROACH

We specify a discrete choice dynamic programming model of commercial fishing participation and location choices. This approach allows us to examine how fishermen collect information about resource abundance and whether their behavior is forward-looking.Resource /Energy Economics and Policy,

Experience, Expectations and Hindsight: Evidence of a Cognitive Wedge in Stated Preference Retrospectives

This paper combines fishing trip decisions - made before observing trip outcomes - with responses to set of double-bounded dichotomous choice CV questions regarding the outcome of the trip, to explore cognitive elements of choice and their implications for decision modeling and welfare analysis. Extending the approach taken by McConnell et al. (1999), wherein the unobserved component of random utility is linked between the trip decision and the retrospective trip evaluation, we decompose the unobserved component into linked and independent elements, and make the linked component a function of cognitive factors hypothesized as affecting differences between the RP and SP responses. Results suggest that a significant "wedge" exists between the closely related trip decision and its retrospective valuation, and that this wedge is not fully explained by factors such as experience, recall, and unobserved time costs.

Rural land mobile radio market assessment and satellite and terrestrial system concepts

Market potential exists; the nature of the market in terms of service needs, usage characteristics, service requirements, and forecasting the demand to the year 2000; alternative system cncepts that show promise in addressing the identified needs, in a cost effective manner; and advanced technology requirements associated with these concepts are considered

Valuing a Spatially Diverse Non-Market Good: The Benefits of Reduced Non-Point Source Pollution in Green Bay, WI

This article presents an empirical approach to correcting for spatial interactions in stated preference data when valuing large-scale, spatially variable environmental improvements. This approach is presented in the context of a contingent valuation study estimating the benefits of reduced non-point source pollution in Green Bay, Wisconsin. The significant spatial variation of water clarity conditions in this large water body was captured using satellite-derived GIS data. This article focuses on two significant challenges: first, ensuring respondents are adequately informed of how the proposed change will impact their individual utility stream; second, dealing with the spatial effects within the estimation model. The GIS water clarity data were used to measure the initial conditions faced by each individual parcel. Including this information in the analysis significantly increased the estimated expected WTP of some individuals but decreased that of others. Some of the difference in aggregated benefits is likely due to issues of spatial correlation between properties that is unaccounted for in the simpler models.Water quality, non-point source pollution, contingent valuation, spatial correlation, Environmental Economics and Policy, Resource /Energy Economics and Policy,

The Dynamic Behavior of Efficient Timber Prices

The problem of when to optimally harvest trees when timber prices evolve according to an exogenous stochastic process has been studied extensively in recent decades. However, little attention has been given to the appropriate form of the stochastic process for timber prices, despite the fact that the choice of a process has important effects on optimal harvesting decisions. We develop a simple theoretical model of a timber market and show that there exists a rational expectations equilibrium in which prices evolve according to a stationary ARMA(1,1) process. Simulations are used to analyze a model with a more general representation of timber stock dynamics and to demonstrate that the unconditional distribution for rational timber prices is asymmetric. Implications for the optimal harvesting literature are: 1) market efficiency provides little justification for random walk prices, 2) unit root tests, used to analyze the informational efficiency of timber markets, do not distinguish between efficient and inefficient markets, and 3) failure to recognize asymmetric disturbances in time-series analyses of historical timber prices can lead to sub-optimal harvesting rules.