1 Getting a Grip on GRIP Gary Schnitkey Agricultural Economist University of Illinois.
1 How ARMS Data is Used: An Illinois Perspective Gary Schnitkey University of Illinois.
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Transcript of 1 How ARMS Data is Used: An Illinois Perspective Gary Schnitkey University of Illinois.
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How ARMS Data is How ARMS Data is Used: An Illinois Used: An Illinois PerspectivePerspective
Gary SchnitkeyUniversity of Illinois
![Page 2: 1 How ARMS Data is Used: An Illinois Perspective Gary Schnitkey University of Illinois.](https://reader036.fdocuments.net/reader036/viewer/2022080917/56649ef55503460f94c08a28/html5/thumbnails/2.jpg)
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ARMS data already ARMS data already used extensivelyused extensively
Research (primarily in finance group)
State-level data will enhance ARMS use and usefulness
![Page 3: 1 How ARMS Data is Used: An Illinois Perspective Gary Schnitkey University of Illinois.](https://reader036.fdocuments.net/reader036/viewer/2022080917/56649ef55503460f94c08a28/html5/thumbnails/3.jpg)
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Linkages between Linkages between ARMS and already ARMS and already existing dataexisting data
Data already created at state, university, commodity group, other level– Budgets– State income estimates– Farm financial databases
Example: Illinois Farm Business Farm Management (FBFM)
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Costs per acre, corn, Costs per acre, corn, 20022002
ARMS ------ Illinois FBFM ------ Heartland North Central South
Seed $32 $35 $34 $35Fertilizer 39 51 55 54Chemicals 26 34 34 31Power 89 113 106 101Land 104 121 130 70Labor 25 35 37 40Other 12 22 20 19Total $327 $411 $416 $350
Yield/acre 142 154 152 97
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Income estimatesIncome estimates
USDA FBFM($ million) * NFI **
1997 2,109 $50,2001998 1,425 13,8001999 1,081
31,2002999 1,569 54,1002001 1,664 30,9002002 642
27,1002003E 51,800
* USDA estimates of aggregate Illinois net farm income
** FBFM estimate of net income per grain farm
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USDA and FBFM: Trends USDA and FBFM: Trends over timeover time
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1997 1998 1999 2000 2001 2002 2003
Year
Ind
ex
nu
mb
er
(1.0
= a
ve
rag
e)
FBFM
USDA
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Combinations between Combinations between ARMS and existing data ARMS and existing data likely to be highly likely to be highly usefuluseful
ARMS random sample, national coverage
“State” detailed information about production processes, longitudinal
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Additional Additional informationinformation
Cropping practices * Household income
Costs and returns