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Technical note: comparative static analysis of information value in a canonical decision problem.(expected value of perfect information): An article from: Engineering Economist

Author Jeffrey M. Keisler
Publisher Thomson Gale
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Book Details
PublisherThomson Gale
ISBN / ASINB000BY2RD8
ISBN-13978B000BY2RD6
AvailabilityAvailable for download now
Sales Rank10,244,121
MarketplaceUnited States 🇺🇸

Description

This digital document is an article from Engineering Economist, published by Thomson Gale on December 22, 2004. The length of the article is 4427 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: To gain insight into the behavior of the value of information, this article identifies specific rules for a canonical decision problem: the two-act linear loss decision with normal prior probability distributions. Conditions are derived for which the expected value of perfect information increases when mean and standard deviation are both linear functions of an exogenous variable. A variety of richer decision problems can be adapted to the problem, so that the general results obtained here can be immediately applied to understand drivers of information value.

Citation Details
Title: Technical note: comparative static analysis of information value in a canonical decision problem.(expected value of perfect information)
Author: Jeffrey M. Keisler
Publication:Engineering Economist (Magazine/Journal)
Date: December 22, 2004
Publisher: Thomson Gale
Volume: 49 Issue: 4 Page: 339(11)

Distributed by Thomson Gale