{"title":"Information Markets, Administrative Decisionmaking, and Predictive Cost-Benefit Analysis","authors":"M. Abramowicz","doi":"10.2139/SSRN.430640","DOIUrl":null,"url":null,"abstract":"FutureMAP, a project of the Defense Advanced Research Projects Agency, was to involve experiments to determine whether information markets could improve Defense Department decisionmaking. Information markets are securities markets used to derive information from the prices of securities whose liquidation values are contingent on future events. The government intended to use such a market to assess the probabilities of potential political assassinations, and the indelicacy of this potential application contributed to a controversy leading to the cancellation of the program. In this Article, Professor Abramowicz assesses whether information markets in theory could be useful to administrative agencies, and it concludes that information markets could help discipline administrative agency predictions, but only if a number of technical hurdles such as the danger of manipulation can be overcome. Because the predictions of well-functioning information markets are objective, they function as a tool that exhibits many of the same virtues in predictive tasks that cost-benefit analysis offers for normative policy evaluation. Both approaches can help to overcome cognitive errors, thwart interest group manipulation, and discipline administrative agency decisionmaking. The Article suggests that the two forms of analysis might be combined to produce a \"predictive cost-benefit analysis.\" In such an analysis, an information market would predict the outcome of a retrospective cost-benefit analysis, to be conducted some years after the decision whether to enact a particular policy. As long as the identity of the eventual decisionmaker cannot be anticipated, predictive cost-benefit analysis estimates how an average decisionmaker would be expected to evaluate the policy. Because the predictive cost-benefit analysis assessment is not dependent on the identity of current agency officials, they cannot shade the numbers to justify policies that the officials prefer for idiosyncratic or ideological reasons.","PeriodicalId":51436,"journal":{"name":"University of Chicago Law Review","volume":"24 1","pages":"933-1020"},"PeriodicalIF":1.9000,"publicationDate":"2003-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"University of Chicago Law Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.2139/SSRN.430640","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 45
Abstract
FutureMAP, a project of the Defense Advanced Research Projects Agency, was to involve experiments to determine whether information markets could improve Defense Department decisionmaking. Information markets are securities markets used to derive information from the prices of securities whose liquidation values are contingent on future events. The government intended to use such a market to assess the probabilities of potential political assassinations, and the indelicacy of this potential application contributed to a controversy leading to the cancellation of the program. In this Article, Professor Abramowicz assesses whether information markets in theory could be useful to administrative agencies, and it concludes that information markets could help discipline administrative agency predictions, but only if a number of technical hurdles such as the danger of manipulation can be overcome. Because the predictions of well-functioning information markets are objective, they function as a tool that exhibits many of the same virtues in predictive tasks that cost-benefit analysis offers for normative policy evaluation. Both approaches can help to overcome cognitive errors, thwart interest group manipulation, and discipline administrative agency decisionmaking. The Article suggests that the two forms of analysis might be combined to produce a "predictive cost-benefit analysis." In such an analysis, an information market would predict the outcome of a retrospective cost-benefit analysis, to be conducted some years after the decision whether to enact a particular policy. As long as the identity of the eventual decisionmaker cannot be anticipated, predictive cost-benefit analysis estimates how an average decisionmaker would be expected to evaluate the policy. Because the predictive cost-benefit analysis assessment is not dependent on the identity of current agency officials, they cannot shade the numbers to justify policies that the officials prefer for idiosyncratic or ideological reasons.
期刊介绍:
The University of Chicago Law Review is a quarterly journal of legal scholarship. Often cited in Supreme Court and other court opinions, as well as in other scholarly works, it is among the most influential journals in the field. Students have full responsibility for editing and publishing the Law Review; they also contribute original scholarship of their own. The Law Review"s editorial board selects all pieces for publication and, with the assistance of staff members, performs substantive and technical edits on each of these pieces prior to publication.