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  • https://doi.org/10.1667/0033-7587-17.1.39Copy DOI Icon

Method For Calculating Reasonable Aggregate Range Estimates in Life Care Plan Analysis and Other Forensic Economic Applications

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Abstract

I. Introducing the Problem Here is a problem that arises in analyzing rehabilitation and life care plans, but can occur as well in other forensic economic applications and in related fields of financial analysis. McClenahan (2003, pp. 225-28), for example, explores a variant of the problem confronted by actuaries. In forensic economics the problem occurs whenever cost or damage estimate ranges have been established for several distinct categories and those range estimates subsequently must be aggregated. If there is less than perfect positive correlation in the random variables describing the various categories of damage or cost estimates, then the occurrence of extreme values (i.e., those near the minimum or maximum) in the aggregate range will be less likely (and indeed may be far less likely) than the occurrence of extreme values in any of the component categories. This article offers a method for truncating the reported aggregate range of values in recognition of the unlikelihood of extreme values. Consider the task facing the forensic economist in analyzing a life care plan. Certain categories within the plan may feature cost ranges rather than specific dollar amounts. After performing his or her ordinary duty of projecting the cost estimates forward in time (taking due account of such factors as the frequency and duration of treatments as presented by the life care planner), then discounting to present value, a forensic economist may wish ultimately to aggregate across the categories and report a lump-sum total in the form of an overall damage range. If the aggregate range is reported as merely the sum of all category minimums at the low end and the sum of all category maximums at the high end, then the aggregation procedure and its results are suspect (probabilistically speaking). A number of criteria ought to be satisfied by an aggregation procedure if it is to be deemed appropriate for practicing forensic economists. The procedure should be methodologically sound and readily applicable, yielding results that are realistic and capable of correct interpretation by subsequent users in the litigation process (such as other economists, negotiating attorneys, judges, and jury members). In an effort to identify the most appropriate procedure for ag

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