Bayesian integration of large SNA data frameworks with an application to Guatemala

J.W. Van Tongeren, J.R. Magnus

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In searching for an appropriate utility function in the expected utility framework, we formulate four properties that we want the utility function to satisfy. We conduct a search for such a function, and we identify Pareto utility as a function satisfying all four desired properties. Pareto utility is a flexible yet simple and parsimonious two-parameter family. It exhibits decreasing absolute risk aversion and increasing but bounded relative risk aversion. It is applicable irrespective of the probability distribution relevant to the prospect to be evaluated. Pareto utility is therefore particularly suited for catastrophic risk analysis. A new and related class of generalized exponential (gexpo) utility functions is also studied. This class is particularly relevant in situations where absolute risk tolerance is thought to be concave rather than linear.
Original languageEnglish
Pages (from-to)277-316
JournalJournal of Economic and Social Measurement
Volume37
Publication statusPublished - 2012

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title = "Bayesian integration of large SNA data frameworks with an application to Guatemala",
abstract = "In searching for an appropriate utility function in the expected utility framework, we formulate four properties that we want the utility function to satisfy. We conduct a search for such a function, and we identify Pareto utility as a function satisfying all four desired properties. Pareto utility is a flexible yet simple and parsimonious two-parameter family. It exhibits decreasing absolute risk aversion and increasing but bounded relative risk aversion. It is applicable irrespective of the probability distribution relevant to the prospect to be evaluated. Pareto utility is therefore particularly suited for catastrophic risk analysis. A new and related class of generalized exponential (gexpo) utility functions is also studied. This class is particularly relevant in situations where absolute risk tolerance is thought to be concave rather than linear.",
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Bayesian integration of large SNA data frameworks with an application to Guatemala. / Van Tongeren, J.W.; Magnus, J.R.

In: Journal of Economic and Social Measurement, Vol. 37, 2012, p. 277-316.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Magnus, J.R.

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AB - In searching for an appropriate utility function in the expected utility framework, we formulate four properties that we want the utility function to satisfy. We conduct a search for such a function, and we identify Pareto utility as a function satisfying all four desired properties. Pareto utility is a flexible yet simple and parsimonious two-parameter family. It exhibits decreasing absolute risk aversion and increasing but bounded relative risk aversion. It is applicable irrespective of the probability distribution relevant to the prospect to be evaluated. Pareto utility is therefore particularly suited for catastrophic risk analysis. A new and related class of generalized exponential (gexpo) utility functions is also studied. This class is particularly relevant in situations where absolute risk tolerance is thought to be concave rather than linear.

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SP - 277

EP - 316

JO - Journal of Economic and Social Measurement

JF - Journal of Economic and Social Measurement

SN - 0747-9662

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