Private Insurance Company Involvement in the U.S. Crop Insurance Program

Author(s):  
Alan P. Ker
2018 ◽  
Vol 8 (2) ◽  
pp. 184-191
Author(s):  
Turgut Erdogmus ◽  
Marcel Czermak ◽  
Devin Baumsteiger ◽  
Daniel Kohn ◽  
Annalena Boller-Hoffecker ◽  
...  

The outsourcing of information technology to external providers has been a phenomenon for organizations around the world since decades. The main reasons for this trend are, for example, cost reductions through scaling, the temporary inclusion of specific skills in the own organization as well as the joint development of innovative solutions with an external partner. The client organization “RetBa,” a major private insurance company, was facing serious quality and performance issues in the delivery of the workplace services. Hence, in 2005 they decided for an outsourcing solution aiming at moving the responsibility for managing IT workplace services for over 50,000 seats worldwide to the external service provider “EuTu.” Over the years, the outsourcing project faced several problems due to the lack of performance and delayed delivery of services by the service provider EuTu. To solve these quality issues and avoid further failures, in 2011 RetBa appointed Scaleit Consulting, a third-party advisor. Scaleit Consulting had the responsibility to identify the causes for these issues, revise the workplace strategy, and support RetBa in the communication with the service provider.


2012 ◽  
Vol 12 (5) ◽  
pp. 1723-1729 ◽  
Author(s):  
J. I. Barredo ◽  
D. Saurí ◽  
M. C. Llasat

Abstract. Economic impacts from floods have been increasing over recent decades, a fact often attributed to a changing climate. On the other hand, there is now a significant body of scientific scholarship all pointing towards increasing concentrations and values of assets as the principle cause of the increasing cost of natural disasters. This holds true for a variety of perils and across different jurisdictions. With this in mind, this paper examines the time history of insured losses from floods in Spain between 1971 and 2008. It assesses whether any discernible residual signal remains after adjusting the data for the increase in the number and value of insured assets over this period of time. Data on insured losses from floods were sourced from Consorcio de Compensación de Seguros (CCS). Although a public institution, CCS compensates homeowners for the damage produced by floods, and thus plays a role similar to that of a private insurance company. Insured losses were adjusted using two proxy measures: first, changes in the total amount of annual surcharges (premiums) paid by customers to CCS, and secondly, changes in the total value of dwellings per year. The adjusted data reveals no significant trend over the period 1971–2008 and serves again to confirm that at this juncture, societal influences remain the prime factors driving insured and economic losses from natural disasters.


2004 ◽  
Vol 36 (2) ◽  
pp. 449-465 ◽  
Author(s):  
Roderick M. Rejesus ◽  
Bertis B. Little ◽  
Ashley C. Lovell ◽  
Mike Cross ◽  
Michael Shucking

This article analyzes anomalous patterns of agent, adjuster, and producer claim outcomes and determines the most likely pattern of collusion that is suggestive of fraud, waste, and abuse in the federal crop insurance program. Log–linear analysis of Poisson-distributed counts of anomalous entities is used to examine potential patterns of collusion. The most likely pattern of collusion present in the crop insurance program is where agents, adjusters, and producers nonrecursively interact with each other to coordinate their behavior. However, if a priori an intermediary is known to initiate and coordinate the collusion, a pattern where the producer acts as the intermediary is the most likely pattern of collusion evidenced in the data. These results have important implications for insurance program design and compliance.


2020 ◽  
pp. 1-26
Author(s):  
Robert W. Klein ◽  
Harold Weston

Widespread economic losses to many businesses due to COVID-19 business closures have led many plaintiffs’ attorneys to assert in lawsuits that business interruption (BI) insurance policies cover these losses, while insurers generally contend that their BI policies exclude coverage for a variety of reasons. We explain the basic coverage contentions below. Additionally, several states are considering measures that would retroactively establish coverage for pandemic-caused losses under BI policies. While the resolution of coverage disputes and the legality of retroactive coverage expansions in the courts is uncertain, clearly there is strong interest in making BI pandemic insurance available going forward. While a few insurers have offered BI pandemic coverage, no firms have purchased it (Lerner, 2020). Further, many insurers are reluctant to expand their BI policies to cover pandemic losses. Hence, there is strong interest in creating a federal government insurance program that would provide BI pandemic coverage. Currently, there are at least two formal proposals to establish such a program. One proposal is the Pandemic Risk Insurance Act of 2020 (PRIA), which was introduced in the U.S. Congress as H.R. 7011; PRIA would establish a Pandemic Risk Reinsurance Program (PRRP) modeled after the Terrorism Risk Reinsurance Program (TRRP) established by the Terrorism Risk Insurance Act (TRIA). Three industry trade associations also have proposed a Business Continuity Protection Program (BCPP) as an alternative to PRIA that is similar in some regard to the National Flood Insurance Program (NFIP). PRIA intends to create a public and private insurance program that would provide BI insurance for pandemics, with participating private insurers retaining 5% of losses above a deductible. We critique the program contemplated by PRIA and discuss the BCPP. Additionally, we consider a program concept of our own design that would also borrow from the NFIP (but would differ somewhat from the BCPP), as well as a program similar to the federal crop insurance program. We conclude that frameworks based on the NFIP or the federal crop insurance program would have several advantages over PRIA, which has a number of problems, but even these alternative frameworks would face many challenges. This policy brief provides a preliminary review of the PRIA and BCPP drafts, as well as other alternative frameworks, and draws from a longer working paper by the authors (Klein and Weston, 2020)


CHANCE ◽  
1999 ◽  
Vol 12 (4) ◽  
pp. 25-30 ◽  
Author(s):  
Alan P. Ker ◽  
Barry K. Goodwin

Author(s):  
Bertis B. Little ◽  
Walter L. Johnston ◽  
Ashley C. Lovell ◽  
Roderick M. Rejesus ◽  
Steve A. Steed

1999 ◽  
Vol 31 (3) ◽  
pp. 519-535 ◽  
Author(s):  
Thomas O. Knight ◽  
Keith H. Coble

AbstractThis paper examines the effects of optional subdivision on APHP losses for wheat, corn, and soybeans. Thirty-seven state/crop programs are analyzed and the implications of the results are discussed in relation to newly developed crop and revenue insurance programs. The results illustrate the importance of incorporating actuarial experience into the premium rate structure and contract provisions of an insurance program.


Equilibrium ◽  
2010 ◽  
Vol 5 (2) ◽  
pp. 181-194
Author(s):  
Marija Del Carmen Melgar ◽  
Jose Antonio Ordaz

The main purpose of the present paper is to provide an econometric model which estimates the number of automobile accidents that policyholders declare to their insurance companies, pointing out those variables that are significant in this process. Our empirical analysis is based on the data supplied by a private insurance company that operates in Spain, and on the zero-inflated count data models as methodology. We find a positive association between the levels of coverage and the accident rates, suggesting the existence of problems related to adverse selection and moral hazard. This result is one of the most important conclusions of our work and confirms the theoretical aspects pointed up by other empirical studies in the literature. Additionally, estimating the number of policyholders that suffered any accident but not declared, and how many these non-declared accidents are, could be very useful information for insurers to evaluate their risk planning. Our model attempts to reach this target as well.


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