79 research outputs found

    A microeconometric analysis of risk aversion and the decision to self-insure

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    This study estimates a von Neumann-Morgenstern utility function using market data and microeconometric methods. We investigate the decision whether to purchase insurance against the risk of telephone line trouble in the home. Using the choices of approximately 10,000 residential customers, we determine the shape of the utility function and the degree of risk aversion. We find that risk aversion varies systematically in the population and varies with the level of income and that the observed choice behavior is consistent with expected utility maximization

    A Micro-Econometric Analysis of Risk-Aversion and the Decision to Self-Insure

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    This study estimates a von Neumann-Morgenstern utility function using market data and micro-econometric methods. We investigate the decision whether to purchase insurance against the risk of telephone line trouble in the home. Using the choices of approximately 10,000 residential customers, we determine the shape of the utility function and the degree of risk-aversion. We find that risk-aversion varies systematically in the population and varies with the level of income and that the observed choice behavior is consistent with expected utility maximization. We are unable to detect the presence of ambiguity effects or over-weighting of low-probability events

    The Use and Misuse of Surveys in Economic Analysis: Natural Resource Damage Assessment Under CERCLA

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    This paper examines problems with the admissibility of contingent use methodology surveys in natural resource damage assessment cases under the Comprehensive Environmental Response, Compensation and Liability Act of 1980 (CERCLA), as well as the propriety of their use in formulating public policy. Using a contingent use survey conducted in conjunction with the New Bedford Harbor Superfund case and two follow-up surveys, a number of errors and biases associated with contingent use methodology surveys are isolated and analyzed

    A microeconometric analysis of risk aversion and the decision to self-insure

    Get PDF
    This study estimates a von Neumann-Morgenstern utility function using market data and microeconometric methods. We investigate the decision whether to purchase insurance against the risk of telephone line trouble in the home. Using the choices of approximately 10,000 residential customers, we determine the shape of the utility function and the degree of risk aversion. We find that risk aversion varies systematically in the population and varies with the level of income and that the observed choice behavior is consistent with expected utility maximization

    A Micro-Econometric Analysis of Risk-Aversion and the Decision to Self-Insure

    Get PDF
    This study estimates a von Neumann-Morgenstern utility function using market data and micro-econometric methods. We investigate the decision whether to purchase insurance against the risk of telephone line trouble in the home. Using the choices of approximately 10,000 residential customers, we determine the shape of the utility function and the degree of risk-aversion. We find that risk-aversion varies systematically in the population and varies with the level of income and that the observed choice behavior is consistent with expected utility maximization. We are unable to detect the presence of ambiguity effects or over-weighting of low-probability events

    The Use and Misuse of Surveys in Economic Analysis: Natural Resource Damage Assessment Under CERCLA

    Get PDF
    This paper examines problems with the admissibility of contingent use methodology surveys in natural resource damage assessment cases under the Comprehensive Environmental Response, Compensation and Liability Act of 1980 (CERCLA), as well as the propriety of their use in formulating public policy. Using a contingent use survey conducted in conjunction with the New Bedford Harbor Superfund case and two follow-up surveys, a number of errors and biases associated with contingent use methodology surveys are isolated and analyzed

    Experiences of treatment decision making for young people diagnosed with depressive disorders: a qualitative study in primary care and specialist mental health settings

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    <p>Abstract</p> <p>Background</p> <p>Clinical guidelines advocate for the inclusion of young people experiencing depression as well as their caregivers in making decisions about their treatment. Little is known, however, about the degree to which these groups are involved, and whether they want to be. This study sought to explore the experiences and desires of young people and their caregivers in relation to being involved in treatment decision making for depressive disorders.</p> <p>Methods</p> <p>Semi-structured interviews were carried out with ten young people and five caregivers from one primary care and one specialist mental health service about their experiences and beliefs about treatment decision making. Interviews were audio taped, transcribed verbatim and analysed using thematic analysis.</p> <p>Results</p> <p>Experiences of involvement for clients varied and were influenced by clients themselves, clinicians and service settings. For caregivers, experiences of involvement were more homogenous. Desire for involvement varied across clients, and within clients over time; however, most clients wanted to be involved at least some of the time. Both clients and caregivers identified barriers to involvement.</p> <p>Conclusions</p> <p>This study supports clinical guidelines that advocate for young people diagnosed with depressive disorders to be involved in treatment decision making. In order to maximise engagement, involvement in treatment decision making should be offered to all clients. Involvement should be negotiated explicitly and repeatedly, as desire for involvement may change over time. Caregiver involvement should be negotiated on an individual basis; however, all caregivers should be supported with information about mental disorders and treatment options.</p
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