EXAMPLE OF PLC, PLC WITH SCO, AND ARC-CO

Similar documents
Commodity Programs in 2014 Farm Bill. Key Provisions

2014 Farm Bill Overview

Supplemental Coverage Option Insurance SCO. Tim Lemmons Ext. Educator Northeast Research and Extension Center

Farm Bill Meeting Stoddard County

2014 Farm Bill How does it affect you and your operation? Section II: PLC, SCO, ARC-C, and ARC-I

Steven D. Johnson. What s Different in Crop Insurance?

Farm Bill Meeting Scott County

Archie Flanders University of Arkansas Northeast Research and Extension Center Keiser, AR. The Farm Bill Decision Making Process

ARC vs. PLC Enrollment Decisions

NAAFP Farm Bill Decision Aid Insurance Tool

FARM PROGRAM DECISION TOOL

Farm Bill Meeting Bollinger County

Farm Bill Meeting Cape County

Estimated Payments Under the 2014 County Agricultural Risk Coverage Program in Maryland

Combined SUpplemental REvenue (SURE), Average. Combined SUpplemental REvenue (SURE), with Other Risk Management Tools

Agricultural Risk Coverage (ARC) vs. Price Loss Coverage (PLC)

Agricultural Risk Coverage (ARC) vs. Price Loss Coverage (PLC)

Agricultural Risk Coverage (ARC) vs. Price Loss Coverage (PLC)

Agricultural Risk Coverage (ARC) vs. Price Loss Coverage (PLC)

PROGRAM DECISION STEPS FARM BILL TOOLBOX. Gary Schnitkey, Jonathan Coppess, Nick Paulson University of Illinois

Agricultural Risk Coverage (ARC) vs. Price Loss Coverage (PLC)

PROCRASTINATOR'S FARM BILL UPDATE. Paul Goeringer, Extension Legal Specialist, Women in Ag Wednesday Webinar March 11, 2015

Farm Bill Overview.

FARM PROGRAM DECISION TOOL

The Agricultural Act of 2014: Update on STAX, SCO & Farm Bill Implementation. Southeast Region December 2014

Risk Management Agency

Agricultural Policy and Risk Management Brief

Maryland Crop Insurance Workshop

The Agricultural Act of 2014: Update on STAX, SCO & Farm Bill Implementation. Mid-South Region December 2014

The 2014 Farm Bill. Program Selection Mitchell County. Neil Cates Livestock Extension Agent Post Rock Extension District #1

The Farm Safety Net: The Good and Not So Good Michael Boehlje and Michael Langemeier Center for Commercial Agriculture Purdue University

2014 Actual Average County Yield. times. higher of: Month Market Year Average Price or National Loan Rate 86% times

The 2014 U.S. Farm Bill: DDA Implications of Increased Countercyclical Support and Reliance on Insurance

The 2014 Farm Bill. Program Selection. JEWELL County. Sandra L. Wick K-State Research and Extension Post Rock District Crop Production Agent

2012 Harvest Prices for Corn and Soybeans: Implications for Crop Insurance Payments

Farm Bill Details and Decisions

Policies Revenue Protection (RP) Yield Protection (YP) Group Risk Income Protection (GRIP) Group Risk Protection (GRP)

Agricultural Risk Coverage County (ARC CO) vs. Price Loss Coverage (PLC)

Farm Bill and Texas A&M Computer Training. Nebraska Innovation Campus Conference Center January 14, 2015

PLC OR ARC? FARM BILL PROGRAM SIGN-UP AND DECISION AIDS

Strickler Insurance Update

Gardner Farm Income and Policy Simulator. University of Illinois at Urbana-Champaign Gardner Agricultural Policy Program

Farm Bill Details and Decisions

Ag Policy Brief #

Farm Bill 2014 Agricultural Act of What You Need To Know Doug Yoder, IFB

Farm Program Payments Revisited: Farmers May Choose Between County of Administration or Geographic County Location. Example 1:

2014 Farm Bill. Jay Yates Extension Program Specialist III Risk Management

The Economics of ARC vs. PLC

THE SUPPLEMENTAL COVERAGE OPTION (SCO)

Economic Conditions & the Title 1 Programs

FACT SHEET. Fundamentally, risk management. A Primer on Crop Insurance AGRICULTURE & NATURAL RESOURCES JAN 2016 COLLEGE OF

1/24/2008 GOALS TODAY. Introduction. Provide a basic overview of crop insurance alternatives for row crops in NC corn, soybeans, wheat

Crop Insurance Decisions Gary Schnitkey, Bruce Sherrick, and Nick Paulson University of Illinois

Crop Revenue Coverage and Group Risk Plan Additional Risk Management Tools for Wheat Growers*

AGEC 429: AGRICULTURAL POLICY LECTURE 19: ANALYSIS OF THE 2014 FARM BILL I

Estimated ARC and PLC Payments for 2016 Covered Commodities

Seed Cotton Informational Meeting. Price Loss Coverage Program (PLC)

Farm Safety Net. Dr. Alejandro Plastina Assistant Professor, Economics

How Will the Farm Bill s Supplemental Revenue Programs Affect Crop Insurance?

Risk Management Agency

2014 FARM BILL COMMODITY PROGRAMS AND DECISION TOOLS

FARM PROGRAM DECISION GUIDE

The 2018 Farm Bill: Overview & Outlook

The Agriculture Risk Coverage (ARC) Program of the 2014 Farm Bill

RISK MANAGEMENT AND THE NEW 2014 FARM BILL

Pat Westhoff FAPRI-MU, University of Missouri

Farm Policy: 2012 and Beyond

The Common Crop (COMBO) Policy

Farm Bill Details and Decisions for 2014

The 2018 Farm Bill. Dr. Alejandro Plastina Assistant Professor, Economics

Presentation Outline

AGECON-18-09PR October 30, Implications of Hurricane Michael on the Seed Cotton ARC/PLC Selection Decision

Crop Insurance. Background

Agricultural Act of 2014

Suppose a farmer is eligible what triggers a corn PLC Payment? Suppose a farmer is eligible what triggers a corn County ARC Payment?

Suppose a farmer is eligible what triggers a corn PLC Payment? Suppose a farmer is eligible what triggers a corn County ARC Payment?

Suppose a farmer is eligible what triggers a corn PLC Payment? Suppose a farmer is eligible what triggers a corn County ARC Payment?

Crop Insurance & the 2012 Drought. Whitney Wiegel Ag Business Specialist MU Extension

Todd D. Davis John D. Anderson Robert E. Young. Selected Paper prepared for presentation at the. Agricultural and Applied Economics Association s

Analyzing Federal Farm Program and Crop Insurance Options to Assess Policy Design and Risk Management Implications for Crop Producers

2014 Farm Bill Update. International Crop Expo February 19, 2015

11/14/2011. Bradley D. Lubben, Ph.D. Special thanks to: Federal Budget. Economy Farm & General Economy. Politics. Super Committee (more politics)

cvacoop.com PROEDGE CONSULTING OUR GRAIN MARKETING FUNDAMENTALS

Farm/Ranch Management Decisions Under Drought

Why has Crop Insurance Changed from an Unpopular Policy to the Farmer Preferred Policy?

Should Basic Underwriting Rules be Applied to Average Crop Revenue Election and Supplemental Revenue?

Effects of Supplemental Revenue Programs on Crop Insurance Coverage Levels * Harun Bulut and Keith J. Collins National Crop Insurance Services (NCIS)

Proposed Farm Bill Impact On The Optimal Hedge Ratios For Crops. Trang Tran. Keith H. Coble. Ardian Harri. Barry J. Barnett. John M.

Revenue and Costs for Illinois Grain Crops, Actual for 2012 through 2017, Projected 2018 and 2019

Revenue and Costs for Corn, Soybeans, Wheat, and Double-Crop Soybeans, Actual for 2011 through 2016, Projected 2017 and 2018

FARM BILL UPDATE WHAT CAN WISCONSIN EXPECT?

2014 FARM BILL DECISION AID

Steven D. Johnson. Presentation Objectives

Current Crop Insurance and Federal Policy Situation

Adjusted Gross Revenue Pilot Insurance Program: Rating Procedure (Report prepared for the Risk Management Agency Board of Directors) J.

Non-Convergence in Hard Red Winter (HRW) Wheat Futures How does non-convergence affect crop insurance? Non-Convergence Issue

Wyoming Barley Production: Opportunities to Manage Production, Quality and Revenue Risks

Case Studies on the Use of Crop Insurance in Managing Risk

Supplemental Coverage Option (SCO)

NGFA Country Elevator Conference St. Louis, Missouri Dec. 9, 2013

Transcription:

EXAMPLE OF PLC, PLC WITH SCO, AND ARC-CO Prof. Howard Leathers University of Maryland Maryland Agricultural Extension 1

Our website: http://www.arec.umd.edu/extension/crop-insurance Wheat in Northumberland County, VA. What we need for our examples: 7 different yield measures 6 different price measures 2 different area measures 2

Yield Measures Actual Production History (APH) yields per harvested for the individual farm. County average yields per planted acre for the last five years. County t-yields for the last five years Expected county yield for SCO. Program yield for the individual farm. Current (hypothetical) yield for the individual farm. Current (hypothetical) yield for the county. (Not included: district yields/planted acre for years when county yields are not available.) Actual Production History for our sample farm: year yield 2004/05 60 2005/06 60 2006/07 75 2007/08 65 2008/09 60 2009/10 75 2010/11 60 2011/12 60 2012/13 60 2013/14 75 Average APH 65 Different for each farm, but known at the time the example is computed. 3

County yield History: year Actual yield T yield Higher of Actual yield or 70% of t yield 70% of t yield 2009/10 47.9 63 44.1 47.9 2010/11 73.5 63 44.1 73.5 2011/12 67.5 63 44.1 67.5 2012/13 72.1 63 44.1 72.1 2013/14 74 69 48.3 74 Olympic average county yield 71.03 Different for each county, but known (except for 2013/14) at the time the example is computed. Actual yields Northumberland Co. VA, are from NASS website. The 2013/14 yield reflects the expected growth in national yield shown in the August WASDE report, also available at NASS website. T-yields are from RMA website. Other yields for our sample farm and county: Program yields: PLC payments are based on program yields, which differ from farm to farm. They can be updated to a recent four year average of yields on the farm; so we are using the 2005-09 average from the actual yield history for our sample farm: Program yield = 61.25 Expected county yield for supplemental coverage insurance: this is based on a complicated formula using county yields back to 1972. The expected county yields can be found on the University of Illinois crop insurance calculator. Expected county yield = 74 Different for each farm and county, but known. (Program yield FAS, expected county yield RMA). 4

Current Yield for our sample farm and county: This can take different values, for different hypothetical examples. We will use low values of yield not because that is likely, but because it illustrates how the various parts of the safety net work. When current yields are relatively high, program payments and insurance indemnities are likely to be zero. Assumed farm yield = 55 Assumed county average yield = 65 Different for each farm and county, made up for purposes of our examples. Price Measures Marketing year average price (MYA) for the last five years. PLC reference price. Average post-harvest months futures price during preplanting month. Average post-harvest month s futures price during harvest month. MYA (hypothetical) for upcoming year. Actual selling price for the individual farm in the upcoming year. (Not included on this list: Loan rates, posted county price on date of LDP claim, should MYA fall below loan rate.). 5

Price History: year Actual national MYA price PLC reference price Higher of last two columns 2009/10 4.87 5.5 5.5 2010/11 5.38 5.5 5.5 2011/12 7.24 5.5 7.24 2012/13 7.77 5.5 7.77 2013/14 6.87 5.5 6.87 Olympic average price for county ARC 6.54 Back to list of prices. To PLC calculations. To ARC-CO calculations. Different for each county, but known (except for 2013/14) at the time the example is computed. Actual yields Northumberland Co. VA, are from NASS website. The 2013/14 yield reflects the expected growth in national yield shown in the August WASDE report, also available at NASS website. T-yields are from RMA website. Other prices: Average of September 2015 CBOT wheat futures price during the period August 15-September 15, 2014: $6.00 (This is a rough guess, but founded in actual futures prices.) Back to prices head page. 6

Hypothetical prices for the current upcoming crop year. Average of September 2015 CBOT wheat futures price during the period July 2015: $5.20 MYA price for the 2014/15 crop year: $5.00 Actual farmer selling price: $5.30 (These are made up, and deliberately low, prices to illustrate how the programs and insurance policies work.) Area Measures Actual planted acres 200 acres Base acres 150 acres (Not included on this list: Actual insured acres, should those differ from actual planted acres.) 7

Review of all assumptions Things which are known to a considerable degree: Olympic average County Yield Average 71.03 expected county yield for SCO 74 Olympic average County-ARC price: $6.54 Base revenue insurance price: $6.00 PLC reference price: $5.50 Characteristics of our imaginary sample farm, things known from that farm s past: AYH average yield: 65 Program yield: 61.25 Base wheat acres: 150 Actual wheat acres: 200 Review of all assumptions Hypothetical future events Assumed farm yield = 55 Assumed county average yield = 65 Assumed insurance harvest price = $5.20 MYA price for the 2014/15 crop year: $5.00 Actual farmer selling price: $5.30 8

Market Revenue under this scenario Selling price: $5.30 Farm yield = 55 acres = 200 Market Revenue = 5.30 x 55 x 200 = 58,300 Insurance indemnity payments at 75% coverage Futures market insurance price: 6.00 APH average yield: 65 Insured revenue per acre: 6.00 x 65 x.75 = 292.50 Futures market harvest price: 5.20 Farm yield: 55 Actual revenue per acre: 5.20 x 55 = 286.00 Covered acres: 200 payment (292.50 286.00) x 200 = $1300 9

PLC payments under this scenario Payment rate: 5.50 5.00 =.50 Program yield = 61.25 Base acres = 150 PLC payment =.50 x 61.25 x 150 x.85 = 3,904.69 SCO indemnity payments under this scenario Futures market insurance price: 6.00 Expected average county yield: 74 SCO benchmark: 6.00 x 74 = 444 SCO trigger: 6.00 x 74 x.86 = 381.84 Futures market harvest price: 5.20 Actual county yield: 65 Actual revenue per acre: 5.20 x 65 = 338.00 Actual county revenue as % of SCO benchmark:.7613 Farm APH yield: 65 Futures market insurance price: 6.00 Farm expected revenue 6.00 x 65 = 390 Maximum SCO liability: (.86 -.75) x 390 = 42.9 10

SCO indemnity payments under this scenario, continued Items 1 and 2 from last slide: Actual county revenue as % of SCO benchmark:.7613 Maximum SCO liability: (.86 -.75) x 390 = 42.9 Shortfall compared to 86%:.86 -.7613 =.0987 Maximum percentage SCO coverage (with 75% revenue insurance):.86-.75 =.11 Shortfall as percentage of maximum: =.0987/.11 =.8976 SCO per acre:.8976 x 42.9 = $38.51 SCO on 200 acres: 38.51 x 200 = $7702 County ARC payments under this scenario. Olympic average County Yield Average 71.03 Olympic average County-ARC price: $6.54 County benchmark: 71.03 x 6.54 = 464.54 County Revenue guarantee: 71.03 x 6.54 x.86 = 399.50 Actual county yield: 65 Current MYA price: 5.00 Actual county revenue: 325 ARC payment rate: lower of (399.50 325) or 10% of 464.54 = 46.45 Base acres: 150 ARC payment: 46.45 x 150 x.85 = 5922.38 11

Program alternatives under this scenario: Summary Market income Insurance Program payment SCO Total County ARC + 75% rev. insur PLC + rev. insurance PLC + rev. ins. + SCO 58,300 1,300 5,922 0 65,522 58,300 1,300 3,905 0 63,505 58,300 1,300 3,905 7702 71,207 Normal or average corn income: 200 acres x 65 b/acre x $6.54/b = $85,020 86% of normal income: $73,117 Revenue insurance at 60% plus SCO Revenue insurance at 85% no SCO SCO premiums are more heavily subsidized. Market income Insurance Program payment SCO Total PLC+75% rev. ins. + SCO PLC+60% rev. ins. + SCO PLC+85% rev. ins. 58,300 1,300 3,905 8,768 72,273 58,300 0 3,905 8,995 71,200 58,300 9,100 3,905 0 72,195 12

Source: http://www.ilfb.org/media/1979709/sco crop_insurance_changes_webinar.pdf What if county yields stay high while farm yields are low? Individual farm yields are 40, but county yields are 75. Because county yields are high SCO payments are low. Because individual farm yields are low, revenue insurance indemnities are high. Market income Insurance Program payment SCO Total PLC+75% rev. ins. + SCO PLC+60% rev. ins. + SCO PLC+85% rev. ins. 42,400 16,900 3,905 0 63,205 42,400 5,200 3,905 0 51,505 42,400 24,700 3,905 0 71,005 13

What if county yields are low while farm yields are high? Individual farm yields are 60, but county yields are 55. Because county yields are low SCO payments are high. Because individual farm yields are high, revenue insurance indemnities are low. Market income Insurance Program payment SCO Total PLC+75% rev. ins. + SCO PLC+60% rev. ins. + SCO PLC+85% rev. ins. 63,600 0 3,905 8,580 76,085 63,600 0 3,905 16,837 84,342 63,600 3,900 3,905 0 71,405 Help Us Plan Meetings, workshops, online material, publications. Let us know where you see a need that we might fill. Howard Leathers hleathers@arec.umd.edu 14