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Uncertain litigation cost and seller behavior: Evidence from an auditing game

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  • Lucy F. Ackert
  • Bryan K. Church
  • Ping Zhang

Abstract

This paper reports the results of two experiments, each consisting of six sessions, designed to investigate difficulties that arise in estimating expected litigation costs in an auditing game. In each experimental session, the game consists of a series of periods in which sellers submit sealed offers to computerized buyers and, if hired, choose an effort level (low or high). The effort level affects the certain (direct) and uncertain (litigation) costs of performing the engagement. Across the two experiments, we vary the uncertainty surrounding the determination of the expected litigation cost. Our results strongly suggest that cognitive limitations hinder sellers' abilities to estimate total expected litigation costs. Across both experiments we observe a nontrivial number of suboptimal effort choices. Moreover, as the uncertainty of determining the expected litigation cost increases, the frequency of observed fee offers below the total expected cost of an engagement increases markedly.

Suggested Citation

  • Lucy F. Ackert & Bryan K. Church & Ping Zhang, 1998. "Uncertain litigation cost and seller behavior: Evidence from an auditing game," FRB Atlanta Working Paper 98-17, Federal Reserve Bank of Atlanta.
  • Handle: RePEc:fip:fedawp:98-17
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    References listed on IDEAS

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    1. Dopuch, Nicholas & Ingberman, Daniel E. & King, Ronald R., 1997. "An experimental investigation of multi-defendant bargaining in 'joint and several' and proportionate liability regimes," Journal of Accounting and Economics, Elsevier, vol. 23(2), pages 189-221, July.
    2. Dopuch, N & King, Rr & Schatzberg, Jw, 1994. "An Experimental Investigation Of Alternative Damage-Sharing Liability Regimes With An Auditing Perspective," Journal of Accounting Research, Wiley Blackwell, vol. 32, pages 103-130.
    3. Lipshitz, Raanan & Strauss, Orna, 1997. "Coping with Uncertainty: A Naturalistic Decision-Making Analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(2), pages 149-163, February.
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