1983•Cambridge University Press eBooksRequires access

Measurement of the social costs of monopoly

George W. McKenzie

Open publisher page 0 citations

Abstract

Introduction In preceding chapters we have examined in detail a measure that, in principle, is superior to the various other indicators that form the basis of conventional applied welfare analysis. For the theorist, that examination should be sufficient. However, those concerned with actual use of operational procedures are bound to raise additional questions. Are the numerical procedures being proposed of sufficiently greater accuracy to warrant the scrapping of the traditional tools of analysis? Are the new procedures more complex? If so, does their greater accuracy outweigh their additional complexity and warrant abandonment of the somewhat less accurate measures currently in use? In regard to the first question, it is impossible to establish any meaningful general criteria to determine whether or not the errors of approximation inherent in traditional approaches are likely to be small for the new procedures. Such errors inevitably depend on a variety of factors: (a) the initial price/quantity situation, (b) the magnitude of the variable change being evaluated, and (c) the characteristics of the approximation procedure being used. Thus, depending on the situation, it is likely that one particular method will work well in some circumstances but not in others and that performance will vary from situation to situation. This proposition must also inevitably hold for the approximation procedures based on the money-metric discussed in Chapter 3. There it was suggested that accurate measures can be constructed from information about the derivatives of the demand function up to the third order.

About this research paper

What this paper is about

Introduction In preceding chapters we have examined in detail a measure that, in principle, is superior to the various other indicators that form the basis of conventional applied welfare analysis. For the theorist, that examination should be sufficient. However, those concerned with actual use of operational procedures are bound to raise additional questions. Are the numerical procedures being proposed of sufficiently greater accuracy to warrant the scrapping of the traditional tools of analysis? Are the new procedures more complex? If so, does their greater accuracy outweigh their additional complexity and warrant abandonment of the somewhat less accurate measures currently in use? In regard to the first question, it is impossible to establish any meaningful general criteria to determine whether or not the errors of approximation inherent in traditional approaches are likely to be small for the new procedures. Such errors inevitably depend on a variety of factors: (a) the initial price/quantity situation, (b) the magnitude of the variable change being evaluated, and (c) the characteristics of the approximation procedure being used. Thus, depending on the situation, it is likely that one particular method will work well in some circumstances but not in others and that performance will vary from situation to situation. This proposition must also inevitably hold for the approximation procedures based on the money-metric discussed in Chapter 3. There it was suggested that accurate measures can be constructed from information about the derivatives of the demand function up to the third order.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Introduction In preceding chapters we have examined in detail a measure that, in principle, is superior to the various other indicators that form the basis of conventional applied welfare analysis. For the theorist, that examination should be sufficient. However, those concerned with actual use of operational procedures are bound to raise additional questions. Are the numerical procedures being proposed of sufficiently greater accuracy to warrant the scrapping of the traditional tools of analysis? Are the new procedures more complex? If so, does their greater accuracy outweigh their additional complexity and warrant abandonment of the somewhat less accurate measures currently in use? In regard to the first question, it is impossible to establish any meaningful general criteria to determine whether or not the errors of approximation inherent in traditional approaches are likely to be small for the new procedures. Such errors inevitably depend on a variety of factors: (a) the initial price/quantity situation, (b) the magnitude of the variable change being evaluated, and (c) the characteristics of the approximation procedure being used. Thus, depending on the situation, it is likely that one particular method will work well in some circumstances but not in others and that performance will vary from situation to situation. This proposition must also inevitably hold for the approximation procedures based on the money-metric discussed in Chapter 3. There it was suggested that accurate measures can be constructed from information about the derivatives of the demand function up to the third order.

Key concepts: Monopoly, Economics, Business, Microeconomics

Related papers

Back to paper searchBrowse research topicsOriginal source
Measurement of the social costs of monopoly — Research Paper | ScholarLens