54 research outputs found

    Capturing Preferences Under Incomplete Scenarios Using Elicited Choice Probabilities.

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    Manski (1999) proposed an approach for dealing with a particular form respondent uncertainty in discrete choice settings, particularly relevant in survey based research when the uncertainty stems from the incomplete description of the choice scenarios. Specifically, he suggests eliciting choice probabilities from respondents rather than their single choice of an alternative. A recent paper in IER by Blass et al. (2010) further develops the approach and presents the first empirical application. This paper extends the literature in a number of directions, examining the linkage between elicited choice probabilities and the more common discrete choice elicitation format. We also provide the first convergent validity test of the elicited choice probability format vis-\`a-vis the standard discrete choice format in a split sample experiment. Finally, we discuss the differences between welfare measures that can be derived from elicited choice probabilities versus those that can obtained from discrete choice responses.discrete choice; Elicited Choice Probabilities

    Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability

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    The paper examines the Kuhn Tucker model in the context of estimating recreation demand when the choice set it very large. It examines the temporal stability of parameter estimates using multiple years of data on trips to 127 lakes in Iowa made by households in Iowa. The study finds that for the given dataset, the estimates derived from a Kuhn-Tucker model are largely stable over time.Recreation demand, Kuhn-Tucker, Temporal Stability, Environmental Economics and Policy, C2, Q2,

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    Low Complexity Signal Adaptive Sound Zone Control using Subspace Tracking

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    Sound zone control methods usually do not consider the spectral characteristics of the input signal, or only consider long-term averaged spectral characteristics. This makes the control effect optimal only in an average sense or only for white signals. In this work, we show that taking into account the instantaneous spectral characteristics in the acoustic contrast control (ACC) method (inst-ACC) can improve the acoustic contrast compared to existing approaches, but requires high computational complexity. To reduce complexity, we formulate a recursive version of the inst-ACC (R-inst-ACC), where the required eigenvector is obtained using the method of projection approximation subspace tracking with deflation (PASTd). Using the proposed method, the complexity is reduced from O(L 3J 3) to O(M DL 2J 2), with LJ being the length of the control filter vector and M D ≪ LJ being the number of control points in the dark zone. Simulation results show the effectiveness of the proposed R-inst-ACC algorithm.</p

    Three essays in economics of the environment

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    The dissertation titled ``Three essays in economics of the environment" consists of two empirical essays and one theoretical essay. The first essay has two objectives. First, it offers a method to estimate a Kuhn-Tucker model allowing for correlation in preferences over time. The method is implemented to present the first set of estimates of a Kuhn-Tucker model with a large choice set using a four-year panel data set for close to 1200 households. Second, it uses the results to examine the stability of preferences over time. It is shown for the dataset used(drawn from the Iowa Lakes Project) and a simple specification of the Kuhn-Tucker model, preferences are not stable over time. This has implications for policy evaluation. If preferences are not stable over time, cost benefit analysis of policy relying on a single year of data may be misleading. The second essay seeks to examine if the source of the regression error in a highly non-linear Kuhn-Tucker model of recreation demand makes a material difference to welfare measures from hypothetical changes in one or more site quality attributes. Using compensating and equivalent variation computed with two different interpretations of the error term, it concludes that the source of the error does make a difference to the welfare estimates calculated. The third essay introduces green consumerism in an otherwise-standard neoclassical growth model and uses it to study the pollution-growth nexus. Green behavior is modeled by assuming that private agents derive a warm glow from incurring costly, pollution-mitigating expenditures whose effect on pollution is not internalized. Pollution reduces the attractiveness of old-age consumption by reducing the marginal utility from old-age consumption. It is shown that, relative to the competitive outcome, the planner allocates less to both young and old-age consumption, but uses these freed-up resources to finance more pollution-mitigation expenses. The result is lower pollution and lower capital than what the market would have chosen.</p

    Nearest Kronecker Product Decomposition Based Linear-in-The-Parameters Nonlinear Filters

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