2019
DOI: 10.1017/s0022109019000474
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The Ownership Complaint Gap: Mutual versus Stock Intermediaries

Abstract: We document a substantial customer complaint gap between stock and mutual financial firms. To assess whether this 21% per year complaint gap stems from complaint-prone customers in stock insurers, we examine state-adjudicated complaint success. To further delineate between customer selection or treatment explanations, we exploit within insurer complaints around random claims (natural disasters) and attention shocks (media scrutiny). Further tests reveal the complaint gap widens with greater competition… Show more

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Cited by 7 publications
(7 citation statements)
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“…25 In terms of economic significance, the coefficient estimate in Column 4 (-0.0110, t = 2.44) indicates that relative to public insurers, private insurers on average reduce reserve errors by an economically significant amount, approximately 1.1% of their total admitted assets, resulting in approximately $4.44 million less in annual tax savings at a statutory tax rate of 35% for the average firm. 26 Our results show that many of the control variables are significantly related to loss reserve errors in a way that is consistent with prior studies (e.g., Cheng, Qian, et al, 2020;Grace & Leverty, 2010, 2012Harrington, 2002;Nelson, 2000). For example, the coefficients on the predicted probability of failure (PrFail) are negative and significant in Columns (1) and (3), indicating that the incentive to underestimate reserves is an increasing function of the insurer's financial weakness (Petroni, 1992).…”
supporting
confidence: 85%
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“…25 In terms of economic significance, the coefficient estimate in Column 4 (-0.0110, t = 2.44) indicates that relative to public insurers, private insurers on average reduce reserve errors by an economically significant amount, approximately 1.1% of their total admitted assets, resulting in approximately $4.44 million less in annual tax savings at a statutory tax rate of 35% for the average firm. 26 Our results show that many of the control variables are significantly related to loss reserve errors in a way that is consistent with prior studies (e.g., Cheng, Qian, et al, 2020;Grace & Leverty, 2010, 2012Harrington, 2002;Nelson, 2000). For example, the coefficients on the predicted probability of failure (PrFail) are negative and significant in Columns (1) and (3), indicating that the incentive to underestimate reserves is an increasing function of the insurer's financial weakness (Petroni, 1992).…”
supporting
confidence: 85%
“…We control for insurers' lines of business as well as their product line and geographic diversification because the nature and complexity of the insurer's business structure might affect its loss provisions. We classify all lines of business into personal lines ( NetPremium Personal ), commercial long‐tail business lines ( NetPremium Commercial ), or commercial short‐tail business lines (Cheng, Qian, et al, 2020). Commercial long‐tail business lines are the most complex type of insurance, and personal lines the least (Regan, 1997).…”
Section: Methodsmentioning
confidence: 99%
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