Measuring Ignorance in the Market: A New Method with an Application to Physician Services
Abstract
Ever since Stigler's seminal piece on the economics of information, a great deal of research has been done investigating equilibrium in markets with imperfect information. While most of this research has been concerned with theoretically establishing the conditions under which there exists a distribution of prices in equilibrium, there is a small, but growing, body of empirical research in this area. This work has followed the suggestion of Stigler and utilized the dispersion of prices (usually the variance) as a measure of ignorance about price. There are two disadvantages to using the variance (or another measure of dispersion, such as the range) of prices as a measure of ignorance about price. The first reason, recognized by Stigler and others, is that price can vary for many reasons other than ignorance. Thus dispersion is not a pure measure of ignorance about prices. The second reason, which has not been commonly considered in the empirical literature, is that price dispersion can due to ignorance on the part of both buyers and of sellers. In this paper we propose a method for measuring ignorance about price in a market which builds on Stigler's original suggestion to use dispersion as a measure of ignorance. The innovation is to use a new frontier estimation technique containing a three component error term to separate observed price dispersion into purely random variation, variation due to buyer ignorance, and variation due to seller ignorance . We apply the technique to the physicians' service market. This supplies us with quantitative indices of price ignorance for different services and how the level of ignorance varies by buyer, seller, and market area characteristics. The results are striking. Buyer ignorance exceeds seller ignorance by roughly a factor of two in his market, and this gap is greater for services which are less frequently purchased, more heavily insured, or accompanied by greater severity of illness, as predicted by search theory.Download Info
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 3430.Length:
Date of creation: May 1994
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Handle: RePEc:nbr:nberwo:3430
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Martin Gaynor & Deborah Haas-Wilson, 1998.
"Change, Consolidation, and Competition in Health Care Markets,"
HEW
9809001, EconWPA.
- Martin Gaynor & Deborah Haas-Wilson, 1999. "Change, Consolidation, and Competition in Health Care Markets," Journal of Economic Perspectives, American Economic Association, vol. 13(1), pages 141-164, Winter.
- Martin Gaynor & Deborah Haas-Wilson, 1998. "Change, Consolidation, and Competition in Health Care Markets," NBER Working Papers 6701, National Bureau of Economic Research, Inc.
- Martin Gaynor & Deborah Haas-Wilson, . "Change, Consolidation, and Competition in Health Care Markets," GSIA Working Papers 1999-E31, Carnegie Mellon University, Tepper School of Business.
- John Robst & Kimmarie McGOLDRICK, 1999. "The Measurement of Firm Information About Product Demand," Review of Industrial Organization, Springer, vol. 15(2), pages 149-163, September.
- Paul Gertler & Roland Sturm & Bruce Davidson, 1994. "Information and the Demand for Supplemental Medicare Insurance," NBER Working Papers 4700, National Bureau of Economic Research, Inc.
- Polachek, Solomon & Xiang, Jun, 2005. "The Effects of Incomplete Employee Wage Information: A Cross-Country Analysis," IZA Discussion Papers 1735, Institute for the Study of Labor (IZA).
- John Robst & Kimmarie Mcgoldrick, 1997. "Frontier estimation of changes in Workers' labor market information," Atlantic Economic Journal, International Atlantic Economic Society, vol. 25(4), pages 386-402, December.
- Darren Grant, 2005. "Information and sorting in the market for obstetrical services," Health Economics, John Wiley & Sons, Ltd., vol. 14(7), pages 703-719.
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