A model of preferences based on specific product attributes is examined and found to be more powerful than predictions based on personality measures and demographics

Television Show Preference: Application of a Choice Model

Distributions of income after allocating all government taxes and expenditures to households are compared over two decades. Extending prior work back an additional decade and adding extensive sensi...

Post-Fisc Distributions of Income in 1950, 1961, and 1970

Models of attitude structure differ primarily in the specification of the relationship of the cognitive and affective components. Two approaches to this relationship, based on cognitive consistency...

Evaluating Models of Attitude Structure

The title ‘The Value of Outcrop Studies in Reducing Subsurface Uncertainty and Risk’ might suggest that we expect new information to improve prospect risk, but this is not correct. Gaining new information generally does change our estimate of prospect risk: the change may be up or down, and the average of all possibilities is zero change. You cannot acquire data for the purpose of increasing the probability of success. We should expect that: (a) the expected value of the risk of a single prospect, post-data, is equal to the prior (pre-data) value; and (b) risk should become worse for the majority of prospects. New information adds value, not from changing pre-drill risk, but from decisions made as a consequence. The main value added is from identifying prospects not to drill, thereby saving the cost of likely dry holes, and by choosing the ones to test first, accelerating revenue from a successful outcome. Further value is added if the new information leads to the identification of new prospects or new plays, or suggests follow-on potential elsewhere in the region. Value may also be added if the new information is negative for a whole region, enabling us to focus our attention elsewhere.

Do technical studies reduce subsurface risk in hydrocarbon exploration: and if not, how do they add value?

In determining whether or not to mandate disclosures of product information, policymakers may wish to first investigate the relative importance of different attribute-related information cues in influencing the purchase decision-making of consumers. This paper examines the applicability of the information display approach to this research task. In addition, unresolved problems associated with the approach are addressed for the benefit of researchers interested in applying the methodology.

Measurement of the relative importance of product attribute information: A review of the information display approach

McClure and Ryans' "Differences between Retailers' and Consumers' Perceptions," [1] presents some interesting conclusions, without qualifying the validity of the measuring instrument used in the study. The tempting device of giving people a list of attributes to rate has a long and unhappy history. Before World War II, the Customer Research Department of General Motors Corporation routinely asked large numbers of people to appraise the relative importance of attributes such as dependability, safety, performance, and styling and published the results with a straight face. Naturally, everyone gave high marks to dependability and safety; styling was rated lower, and price was somewhere in between. However, little harm was done because the Customer Research Department was more of a public relations than a research effort, and its findings probably did not influence many management decisions. The trouble with these attribute labels is their am-

http://www.jstor.org/stable/pdfplus/3150006.pdf

On the Perception of Appliance Attributes

An Introduction to Bayesian Statistical Processes@@@Bayesian Decision Problems and Markov Chains@@@Probability for Management Decisions@@@Statistical Analysis for Business Decisions@@@Statistics for Modern Business Decision Making

Thomas T. Semon

Papers

On the Perception of Appliance Attributes

An Introduction to Bayesian Statistical Processes@@@Bayesian Decision Problems and Markov Chains@@@Probability for Management Decisions@@@Statistical Analysis for Business Decisions@@@Statistics for Modern Business Decision Making

A Model of Methodological Reporting@@@Consumer Expenditures and Income: Survey Guidelines

Book Review: A Model of Methodological Reporting: Consumer Expenditures and Income: Survey Guidelines: