2010
DOI: 10.1057/grir.2010.2
|View full text |Cite
|
Sign up to set email alerts
|

Incentive Effects of Community Rating in Insurance Markets: Evidence from Massachusetts Automobile Insurance

Abstract: Rate regulations in insurance markets often impose cross-subsidies in insurance premiums from low-risk consumers to high-risk consumers. This paper develops the hypothesis that premium cross-subsidies affect risk taking by insurance consumers, and tests this hypothesis by examining the marginal impact of premium subsidies and overcharges on future insurance costs. The empirical analysis uses 1990-2003 rating cell-level data from the Massachusetts automobile insurance market, in which regulation produced large … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(9 citation statements)
references
References 34 publications
0
9
0
Order By: Relevance
“…3 Many insurance risk classification systems have been developed and fine-tuned over decades of use, and insurers have accumulated a body of statistical evidence to demonstrate how the pricing variables used to set premiums are correlated to their insureds' expected losses. Setting premiums based on an estimate of the insured policyowner's expected loss, a practice known as mean-based or riskbased pricing (Powell, 2020), is economically efficient, as charging insufficient premiums creates incentives for higher-risk policyowners to engage in riskier activities (Harrington & Doerpinghaus, 1993;Tennyson, 2010).…”
Section: Heterogeneity and Price Discrimination In Insurance Risk Classification Systemsmentioning
confidence: 99%
See 2 more Smart Citations
“…3 Many insurance risk classification systems have been developed and fine-tuned over decades of use, and insurers have accumulated a body of statistical evidence to demonstrate how the pricing variables used to set premiums are correlated to their insureds' expected losses. Setting premiums based on an estimate of the insured policyowner's expected loss, a practice known as mean-based or riskbased pricing (Powell, 2020), is economically efficient, as charging insufficient premiums creates incentives for higher-risk policyowners to engage in riskier activities (Harrington & Doerpinghaus, 1993;Tennyson, 2010).…”
Section: Heterogeneity and Price Discrimination In Insurance Risk Classification Systemsmentioning
confidence: 99%
“…Insurers are prohibited from using these factors in the pricing of insurance, even if they are correlated to expected losses. While these categories of protected classes are common across the U.S. (Avraham et al, 2014;Stead, 2020), some states' legislatures have extended the list, with common additional categories including prohibitions on gender-or age-based discrimination (Tennyson, 2010). 9. https://content.naic.org/sites/default/files/model-law-gdl-1775-property-casualty-ratinglaw.pdf.…”
Section: State Insurance Discrimination Standardsmentioning
confidence: 99%
See 1 more Smart Citation
“…In commercial insurance, regulatory restrictions often impose underwriting restrictions on insurers and limit insurers' ability to charge different insurance premiums to consumers. There is a cross-subsidy in insurance premiums from low-risk consumers to high-risk consumers (Tennyson 2010). By avoiding carve-outs, the enabling environment is enhanced, because insurance can function most effectively when the covered items include the widest possible selection of risks.…”
Section: Social Protection Policymentioning
confidence: 99%
“…Existing evidence suggested that consumers' insurance knowledge is insufficient and insurance buying decisions do not conform to economic theories of the insurance utility [1]. On the other hand, empirical and experimental evidence also showed that insurance buying decisions greatly diverged from rational economic behavior (Friedman, 1957;Tennyson, 2010). The literature has exhausted this irrational divergence to find various reasons: 1) people react to gains and losses asymmetrically Investor confidence and life insurance demand 1537…”
Section: Introductionmentioning
confidence: 99%