Rethinking Health Insurance, Iowa State Planning Guide, September 30, 2005

Iowa has been a HRSA State Planning Grant participant since October 2000. Iowa’s purpose in participating in the program has remained constant: to identify, through research, policies that will help expand access to affordable health insurance coverage for all Iowans. The Iowa State Planning Grant project (Iowa-SPG) has been able to serve as a significant state data resource on the uninsured in Iowa throughout its tenure. Through the use of State Planning Grant resources, policymakers, the media, and interested citizens have been able to access, from one convenient and trusted source, a variety of information on Iowa’s uninsured population. Section 1 of this report presents an update of state-level data on the uninsured with a focus on the data that has been of greatest interest to various Iowa constituencies during the State Planning Grant years, 2001-2005.

Issue review : impact on the insurance premium tax rate reduction .

In 2002, Senate File 2318, Insurance Premium Tax Reduction Act, the Iowa General Assembly approved a reduction in the insurance premium tax rate from 2 percent to 1 percent. The reduction was phased in at the rate of 1/4 percent annual increments over a five-year period, beginning with life and health insurance policy payments made on or after January 1st, 2003. Calendar year 2007 was the first year all premiums were taxed at 1 percent and fiscal year 2008 was the first full fiscal year at the 1 percent rate. Insurance premiums tax is paid only by insurance companies. The companies that benefit from the tax reduction are uniquely identified in government employment statistics. This allows for a unique opportunity to evaluate both the revenue impact and the employment impact of the tax rate reduction in Senate File 2318. This issue review focuses on the General Fund revenue impact of the rate reduction and the Iowa employment trends for the insurance industry since the rate reduction legislation was approved.

Iowa Department of Commerce Insurance Division, Agency Performance Plan, 2014

Annual Report, Agency Performance Plan

A guide to understanding the variation in premiums in rural health insurance marketplaces (RUPRI Center for Rural Health Policy Analysis rural policy brief)

This brief discusses several important factors that should be considered when comparing health insurance plans in the health insurance marketplaces across geographic areas.

Iowa Department of Commerce Insurance Division, Agency Performance Plan, 2015

Annual Report, Agency Performance Plan

Audit report on the Northeast Iowa Schools Insurance Trust for the year ended June 30, 2014

Audit report on the Northeast Iowa Schools Insurance Trust for the year ended June 30, 2014

Iowa Insurance Division Four Year Strategic Plan FY13, October 2012

Strategic Plan for the Iowa Insurance Division

Iowa Department of Insurance Division Performance Plan FY2015, July 2014

Performance report on the Insurance Division for Iowa Department.

Ruin and related quantities in some advanced insurance risk models

Risk theory has been a very active research area over the last decades. The main objectives of the theory are to find adequate stochastic processes which can model the surplus of a (non-life) insurance company and to analyze the risk related quantities such as ruin time, ruin probability, expected discounted penalty function and expected discounted dividend/tax payments. The study of these ruin related quantities provides crucial information for actuaries and decision makers. This thesis consists of the study of four different insurance risk models which are essentially related. The ruin and related quantities are investigated by using different techniques, resulting in explicit or asymptotic expressions for the ruin time, the ruin probability, the expected discounted penalty function and the expected discounted tax payments. - La recherche en théorie du risque a été très dynamique au cours des dernières décennies. D'un point de vue théorique, les principaux objectifs sont de trouver des processus stochastiques adéquats permettant de modéliser le surplus d'une compagnie d'assurance non vie et d'analyser les mesures de risque, notamment le temps de ruine, la probabilité de ruine, l'espérance de la valeur actuelle de la fonction de pénalité et l'espérance de la valeur actuelle des dividendes et taxes. L'étude de ces mesures associées à la ruine fournit des informations cruciales pour les actuaires et les décideurs. Cette thèse consiste en l'étude des quatre différents modèles de risque d'assurance qui sont essentiellement liés. La ruine et les mesures qui y sont associées sont examinées à l'aide de différentes techniques, ce qui permet d'induire des expressions explicites ou asymptotiques du temps de ruine, de la probabilité de ruine, de l'espérance de la valeur actuelle de la fonction de pénalité et l'espérance de la valeur actuelle des dividendes et taxes.

Report on a review of certain Unemployment Insurance payments made by Iowa Workforce Development during the period January 1, 2012 through January 13, 2015

Report on a review of certain Unemployment Insurance payments made by Iowa Workforce Development during the period January 1, 2012 through January 13, 2015

Iowa guide to long-term care insurance : the time to explore your insurance options is now, 2014

This is a guide to the Senior Health Insurance Information Program (SHIIP)

High prevalence of forgoing healthcare for economic reasons in Switzerland: a population-based study in a region with universal health insurance coverage.

OBJECTIVE: To investigate the determinants and the 4-year evolution of the forgoing of healthcare for economic reasons in Switzerland. METHOD: Population-based survey (2007-2010) of a representative sample aged 35-74years in the Canton of Geneva, Switzerland. Healthcare forgone, socioeconomic and insurance status, marital status, and presence of dependent children were assessed using standardized methods. RESULTS: A total of 2601 subjects were included in the analyses. Of the subjects, 13.8% (358/2601) reported having forgone healthcare for economic reasons, with the percentage varying from 3.7% in the group with a monthly income ≥13,000CHF (1CHF≈1$) to 30.9% in the group with a monthly income <3000CHF. In subjects with a monthly income <3000CHF, the percentage who had forgone healthcare increased from 22.5% in 2007/8 to 34.7% in 2010 (P trend=0.2). Forgoing healthcare for economic reasons was associated with lower income, female gender, smoking status, lower job position, having dependent children, being divorced and single, paying a higher deductible, and receiving a premium subsidy. CONCLUSION: In a Swiss region with universal health insurance coverage, the reported prevalence of forgoing healthcare for economic reasons was high and greatly dependent on socioeconomic factors. Our data suggested an increasing trend among participants with the lowest income.