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Cost Function Estimation and Quality Bias: The Regulated Automobile Insurance Industry

  • Ronald R. Braeutigam
  • Mark V. Pauly
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    This article explores the implications of endogenous product quality (and therefore endogenous output) in the empirical estimation of cost functions for regulated automobile collision insurance firms. It contains a structural model of such a firm and provides an illustration of the types of biases that can result if data on quality of service are unavailable or otherwise omitted. The analysis shows how the directions of biases depend on the nature of the variations in the observed (nonquality) data. A new test suggests that such bias is present in insurance cost functions.

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    Article provided by The RAND Corporation in its journal RAND Journal of Economics.

    Volume (Year): 17 (1986)
    Issue (Month): 4 (Winter)
    Pages: 606-617

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    Handle: RePEc:rje:randje:v:17:y:1986:i:winter:p:606-617
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