Experience of the Team
Team members have specific RMA-funded research project
experience on the following projects:
Prevented Planting Study
Reviewing FCIC crop policy provisions, crop insurance
administrative handbooks (underwriting and loss adjustment procedures) and
actuarial documents to determine if they adequately and equitably address
prevented planting situations at the localized and individual insured level.
Identifying specific localized PP situations that may have
occurred, including regions in the southeastern U.S. and at least two other
areas of the country as applicable, determining if PP policy provisions and
loss adjustment procedures were applied correctly, fairly and consistently
in addressing such PP localized or isolated cases.
Analyzing PP payment history using data available from RMA to
identify the frequency of PP claims in localized areas.
In addition, analyzing 25 percent of PP claims made to policyholders
in a representative area to determine if the application of PP provisions is
consistent among insurance providers. Recommending
changes to crop policy PP provisions and administrative procedures to ensure
consistent, fair, and equitable treatment of insureds in a localized or
individual PP situation.
Clearly stating the benefit derived from such change, and the
cost affiliated with implementing and administering the change and an
estimate of any associated premium rate change.
Multiple Year Coverage Risk Management Program
Describing fraud, waste, and abuse in the crop insurance program by insured producers located in the
geographical areas and whether a multi-year policy would reduce fraud,
waste, and abuse by insured producers in the same geographical areas.
Feasibility
of Revenue Coverage Plans that Maximize Producer Revenue
Investigating opportunities for new and improved revenue
coverage plans designed to enable producers to take maximum advantage of
fluctuations in market prices and thereby maximize revenue realized from the
sale of an agricultural commodity. Researching
the feasibility of:
Developing several new revenue
coverage plans for RMA insured and uninsured crops.
Developing modifications to or
improvements of RMA’s current revenue insurance products.
Developing new market
instruments or marketing contracts that support current or proposed revenue
insurance products for insured crops, insured crops with no revenue
coverage, and uninsured crops.
Expanding existing revenue
coverage plans to additional commodities, including dry beans in California.
Recommending
priorities for further development and implementation of new, modified, or
expanded revenue coverage plans; and new market instruments, marketing
contracts, or combinations that are recommended as feasible.
Cotton
Boll Weevil Eradication Program Impact on Actual Production History
Yields
Delivered a study identifying the reasons for and quantifying
the amount of change in cotton yields within the Southern cotton-growing
regions of the United States that have undertaken systematic, area-wide
efforts to detect, eradicate, suppress, control, or at least to prevent or retard the spread of boll
weevils and to recommend one or more methodologies for adjusting the cotton
producers’ APH.
Applying
Data Warehousing, Data Mining, and Data Analysis Techniques Toward Crop
Insurance Loss Patterns Analysis Project
Identified trends, patterns, anomalies, and relationships
between reinsurance organizations, insurance agents, adjusters, and
producers in crop insurance data provided by the USDA indicative of excess
claim adjustment over actual crop loss.
Incorporated data analysis and data mining techniques to accomplish
this objective. Identified
proposed county yields, actual yields, and actual losses over a four-year
cycle. Identified which
insurance agents, loss adjusters, and producers claim losses that appear
inconsistent with other insurance agents, loss adjusters, and producers
within the same county and/or adjacent counties.
Identified losses by insurance agent, loss adjuster, and producer
according to practice code (irrigated vs. non-irrigated) assess deviation
from norm and multiple standard deviations.
Identified patterns of collusion and anomalous behavior.
Identified patterns of losses by insurance agent, loss adjuster, and
producer according to reinsurance agreement (assigned risk fund), rate of
policy, loss units, and cause of losses.
Provided RMA with a method to process a large volume of yield data to
identify situations in which production may have been erroneously reported
in such a manner to enhance indemnity payments.
Primarily focused on situations in which part of all of the
production actually produced on a particular piece of land is reported as
produced on other land. Refined
earlier work on yield switching within a farm (reported under the same farm
ID). Analyzing the
reconstitution of units (reallocation of land to units) within a farm.
Recommending methods to be developed to identify unacceptable land
reallocation practices.
Developing Catastrophic Rating Methodology and Incorporating
CAT Coverage Data
Reviewed catastrophic rating methodologies and proposed
alternatives. Reviewed current
conversion methodology and procedures for RA and CRC data to determine that
this has been done as accurately and efficiently as possible.
Recommended a catastrophic rating methodology.
Expansion
of Income Protection Insurance
Dr. Atwood
and Dr. Watts developed a new premium rating method that addresses some
of the deficiencies in the usual MPCI rating. The MPCI rating method does
not adjust for changes in technology (yields have almost doubled since crop
insurance began in the U.S. in the 1930’s), uses data from a relatively
small number of recent years, and uses the same expected yield and coverage,
spreading factors across crops and production regions. The IP approach
explicitly accounts for technology, combines long-term available regional
data with shorter-term farm data to reflect infrequent events, and rates
across coverage levels and expected yields, which are reflective of the
available data in that region. The IP approach can be used for either yield
or revenue insurance. The revenue insurance appropriately incorporates
price-yield correlation. Currently the IP approach rated by members of the
Watts Team is being piloted in 19 states and six crops.
Indexing
- A crucial step in determining indemnity payments and premiums is
determining the producer’s “normal” or expected yield. In the U.S. the
producer’s expected yield is based upon the average of from four to 10
years of his/her production history. The accuracy (statistical efficiency)
of basing the expected yield on only four to 10 observations is of concern.
Producers were concerned about the changes in expected yield as their yield
history was updated. A statistical method was developed that incorporates
information from other data sources to stabilize the expected yields through
time and increase the statistical efficiency of expected yields.
Range/Pasture Crop
Insurances
Evaluated
the feasibility of a crop insurance program for range and pasture producing
forage. During the past year
Dr. Atwood and Dr. Watts conducted a preliminary investigation
into the feasibility of a crop insurance program for grazing forage.
Dr. Atwood and Dr. Watts developed the necessary
modifications to the IP rating methods. Producer-level data has been
difficult to obtain and is limited. In those areas where producer-level data
exists, the relationship between regional- and producer-level data is
analyzed and extrapolated to areas where producer-level data does not exist.
Thereby, premiums can be developed for many more regions.
Reviewed MPIC cotton program in 11 western states
For the RMA, reviewed the cotton crop insurance program in the 11 major cotton
states. This review included an evaluation of the rating method, data used,
coverage available, and various contractual terms. In several states, the
premium rates have been adjusted. Expanded avocado program to five additional counties
RMA asked Dr. Atwood and Dr. Watts to develop a crop insurance program for
avocado. Dr. Atwood and Dr. Watts customized the IP rating process to fit the biological process and
market peculiarities of avocado. Dr. Atwood and Dr. Watts supervised data gathering at the farm level and
obtained the needed NASS data used to statistically calculate premiums.
Dr. Atwood and Dr. Watts then developed rate quoting software.
Dr. Atwood and Dr. Watts continue to maintain the software, update
the premiums, and address problems as they arise.
About 50 percent of the eligible avocado producers enrolled in the
program in the first year.
Research Report Livestock Insurance Program
Watts and Associates is under contract to RMA to
analyze the livestock industry and evaluate the viability of potential
livestock pilot insurance programs. Watts and Associates will develop
criteria for pilot insurance programs, assess risk perspectives and
strategies, and detail the risk management needs and interests of
producers. Watts and Associates will also study the likely industry impact of an insurance
program and determine the feasibility of offering a pilot livestock insurance program.
Evaluation of the Group Risk Plan – Rangeland Pilot Insurance Program
(GRP Rangeland) - Completed
Watts and Associates has completed an RMA contract to
evaluate the Group Risk Plan – Rangeland Pilot Insurance Program and
determine if it should be converted to a permanent program, continue as a
pilot program, be modified, or be discontinued. Watts and Associates collected,
validated, and analyzed both RMA and other relevant data. Further, input from producers
and other interested parties was gathered during listening sessions that were held in three
Montana locations. Finally, Watts and Associates reviewed existing rates to determine
actuarial soundness.
Research and Development of a Pilot Crop Insurance Program for Silage Sorghum
RMA has contracted Watts and Associates to develop the
components of a silage sorghum crop insurance pilot program. Watts and
Associates will design and develop all program components as follows:
- Underwriting materials
- Loss adjustment standards
- Rating procedures
- Pricing methods
- Actuarial documents
- Data Acceptance System modifications
Quality Review of Dry Bean and Sugar Beet Crop Insurance Policies
Watts and Associates has been contracted by RMA to
assess the dry bean and sugar beet crop insurance policies. Watts and
Associates will identify any problem areas or issues with the crop policies
and will make recommendations for crop policy and program changes to limit
fraud, waste, and abuse. Watts and Associates will use our expertise in
crop insurance policy development to assure actuarial soundness, and
determine acceptability of the crop programs to producers, insurance
providers, the Government, and other interested parties.
Research Report Storage Insurance Options for Apples, Onions, Sugar Beets, and
Sweetpotatoes
Watts and Associates is working under contract with RMA
to determines the feasibility of offering insurance for storage of apples,
onions, sweetpotatoes, or sugar beets. Watts and Associates will conduct
research to identify the risks confronted by storage crop producers and
describe their techniques for managing risk. Watts and Associates will also
1) investigate the impacts of developing or expanding crop insurance programs,
2) propose options for each crop for new product development and/or modification
of existing programs, and 4) recommend to RMA the best proposal for product
development.
Research and Development of a Christmas Tree Insurance Program
Watts and Associates is under contract from
RMA to deliver the components of a crop insurance pilot program for
Christmas trees. Watts and Associates will conduct a study to establish
objectives for research and criteria for a viable insurance program. In
preparing the pilot insurance program, Watts and Associates will gather
input from producers, collect and analyze data, and determine the impacts
and economic risks of Christmas tree production and marketing. Watts and
Associates will also evaluate the feasibility of offering a pilot Christmas
tree insurance program to producers. If feasible Watts and Associates will
design and develop all program components required for program
implementation.
Research Report for Hybrid Sunflower Seed, Sesame, and Spelt Crop
Insurance Programs
RMA has contracted Watts and Associates to conduct
a research study to analyze the feasibility of developing a crop
insurance program for hybrid sunflower seed, sesame, and spelt. If
feasible, Watts and Associates will recommend and justify a new or existing
crop insurance structure for insuring each crop.
Review of AUP and ELS Cotton Skip-Row Planting Factors
Watts and Associates has been contracted by TKCC (for
RMA) to conduct a research study of the AUP and ELS cotton skip-row planting
factors. In particular, Watts and Associates will conduct research and make recommendations
regarding current skip-row standards, non-irrigated, cotton skip-row yield
conversion factors, and associated planting procedures. Watts and
Associates will use our expertise in data collection, validation, analysis,
statistical modeling, and crop insurance procedures to determine
the validity of existing factors.
Sweetpotato Pilot Evaluation
Watts and Associates has been contracted by RMA to
evaluate the sweetpotato pilot crop insurance program. Watts and Associates
will assess the rating and pricing sufficiency of the program and feedback
from program stakeholders to determine if the sweetpotato crop insurance
program should be continued as a pilot, modified, terminated, or converted
to a permanent program.
Cultivated Wild Rice Pilot Evaluation
Watts and Associates is working under contract with RMA
to review the cultivated wild rice pilot crop insurance program. Watts and
Associates will gather feedback from program stakeholders, compile a
Feedback and Issues Report on the program, and evaluate the rating and
pricing sufficiency of the program. These factors will be used to determine
if the program should be continued as a pilot, modified, terminated, or
converted to a permanent program.
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Key Staff Profiles
Dr. Myles Watts
Dr. Joe Atwood
Dr. James Driscoll
Tim Watts
Dr. Randy Landgren
Steve Loar, MCPD, MCSE, MCAD, MCSD, MCDBA
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