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Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare

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  • Ian McCarthy

    ()
    (Indiana University Bloomington)

Abstract

This paper studies advertising, price ceilings and taxes in a sequential search model with bilateral heterogeneities in production and search costs. We estimate equilibria using a genetic algorithm (GA) applied to over 100 market scenarios, each differing based on the number of firms, number of consumers, existence of price ceilings or taxes, costs of production, costs of advertising, consumers' susceptibility to advertising and consumers' search costs. We compare our equilibrium results to those of the standard theoretical consumer search literature and analyze the welfare effects of advertising, price ceilings and sales taxes. We find that price ceilings and uninformative advertising can improve welfare, especially if search costs are sufficiently high.

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File URL: http://www.iub.edu/~caepr/RePEc/PDF/2008/CAEPR2008-010.pdf
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Bibliographic Info

Paper provided by Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington in its series Caepr Working Papers with number 2008-010.

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Length: 29 pages
Date of creation: Apr 2008
Date of revision:
Handle: RePEc:inu:caeprp:2008-010

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Keywords: Sequential Search Models; Genetic Algorithms; Price Ceilings; Taxes; Advertising; Welfare;

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References

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Cited by:
  1. Robert Jump, 2013. "Results on the Stability of a Simple Wage Posting Model," Studies in Economics 1319, Department of Economics, University of Kent.

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