Policy Analysis with Integrated RuralFarm Household Data Mitch

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Policy Analysis with Integrated Rural/Farm Household Data Mitch Morehart, Jeffrey Hopkins, and James Johnson

Policy Analysis with Integrated Rural/Farm Household Data Mitch Morehart, Jeffrey Hopkins, and James Johnson Third International Conference on Agricultural Statistics, Cancun Mexico, November 2 -4, 2004 Economic Research Service, USDA

Complexity of Farm Household Structure Economic Research Service, USDA

Complexity of Farm Household Structure Economic Research Service, USDA

Determinants of ARMS Content Economic Research Service, USDA

Determinants of ARMS Content Economic Research Service, USDA

Stakeholder Involvement In Production Activities of U. S. Household-Farms Of the 2. 1 million

Stakeholder Involvement In Production Activities of U. S. Household-Farms Of the 2. 1 million U. S. farms: Landlords--209, 000 farmers rent land for a share of production; another 633, 000 farmers rent land for cash Lenders--910, 000 farmers owe debt at year-end; almost all use debt during the calendar year Hired Labor--632, 000 farmers use hired labor Contract Entities--50, 000 farmers grow agricultural commodities for other firms under a contract arrangement Partners--93, 000 households organized their farm as a partnership Shareholders--65, 000 households organized their farm as a family corporation Multiple Operator Households--145, 000 farms are organized with multiple households providing production assets Economic Research Service, USDA

Modular Design Enables ARMS To Reflect Complex Farm Structure Economic Research Service, USDA

Modular Design Enables ARMS To Reflect Complex Farm Structure Economic Research Service, USDA

ARMS correctly assigns income and expenses to the different stakeholders Economic Research Service, USDA

ARMS correctly assigns income and expenses to the different stakeholders Economic Research Service, USDA

Household income and wealth come from a variety of sources Economic Research Service, USDA

Household income and wealth come from a variety of sources Economic Research Service, USDA

Policy Example 1: Savings, Income Volatility, and Basic Needs Economic Research Service, USDA

Policy Example 1: Savings, Income Volatility, and Basic Needs Economic Research Service, USDA

Policy Example 2: Farm Household Impacts from Policy Reform Economic Research Service, USDA

Policy Example 2: Farm Household Impacts from Policy Reform Economic Research Service, USDA

Policy Example 3: On-farm Technology Adoption Economic Research Service, USDA

Policy Example 3: On-farm Technology Adoption Economic Research Service, USDA

Implications ARMS data collection is driven by issues confronting households that operate farm establishments

Implications ARMS data collection is driven by issues confronting households that operate farm establishments Data collection reflects measurement concepts for households, farm establishments, and the U. S. farm sector Issues confronting ARMS measurement system are dynamic Multiple income and wealth measures and changes in demand for data: imply need to collect data at the item and unit level of measurement Imply need to store data at item and unit level to enable use over time and across different issues and groups Household measures are developed within the context of the farm establishment to facilitate use in applied analyses Economic Research Service, USDA