{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/20162"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/20162","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Farmer participation in government commodity programs: A multiyear risk management analysis","abstract":"Government programs for agricultural commodities affect planting decisions and farm income for many producers. Many proposals to reduce federal expenditures are being considered for reform in the 1995 Farm Bill. In order to determine the effect of these proposals on both farmers and government, the producer's planting and participation behavior must be analyzed. This study determines the value to an individual farmer of participating in government programs in a stochastic, multiyear planning environment. It also determines how producer behavior might change if certain proposals for the 1995 Farm Bill are adopted.","abstract_html":"Government programs for agricultural commodities affect planting decisions and farm income for many producers. Many proposals to reduce federal expenditures are being considered for reform in the 1995 Farm Bill. In order to determine the effect of these proposals on both farmers and government, the producer's planting and participation behavior must be analyzed. This study determines the value to an individual farmer of participating in government programs in a stochastic, multiyear planning environment. It also determines how producer behavior might change if certain proposals for the 1995 Farm Bill are adopted.","abstract_has_math":false,"creators":["Monke, James Dale"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Economics","degree_department":null,"school":null,"contributors":["Hauser, Robert J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T12:30:47Z","date_published":"2011-05-07T12:30:47Z","updated_at":"2026-07-22T22:25:15Z","subjects":["Economics, Finance","Economics, Agricultural","Political Science, Public Administration"],"languages":["eng"],"rights":["Copyright 1995 Monke, James Dale"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9624441","(UMI)AAI9624441"],"render_values":[{"text":"AAI9624441","href":null,"code":true},{"text":"(UMI)AAI9624441","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/20162","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hauser, Robert J."]},{"key":"dc:creator","label":"Author","values":["Monke, James Dale"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T12:30:47Z","10000-01-01","1995"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Economics, Finance","Economics, Agricultural","Political Science, Public Administration"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1995 Monke, James Dale"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9624441","(UMI)AAI9624441","http://hdl.handle.net/2142/20162"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Government programs for agricultural commodities affect planting decisions and farm income for many producers. Many proposals to reduce federal expenditures are being considered for reform in the 1995 Farm Bill. In order to determine the effect of these proposals on both farmers and government, the producer's planting and participation behavior must be analyzed. This study determines the value to an individual farmer of participating in government programs in a stochastic, multiyear planning environment. It also determines how producer behavior might change if certain proposals for the 1995 Farm Bill are adopted.","Stochastic elements are important because program participation and crop diversification may be substituted to manage risk. Multiyear planning is important because the ability to collect program benefits depends on dynamic planting decisions. The mathematical model uniquely combines a discrete stochastic program of uncertain ARP parameters and nested MOTAD submodels of intrayear variability. This new approach is the first known empirical study applying both risk- and variability-aversion coefficients in a multiyear model.","Results indicate that government programs are very valuable to producers by both increasing income and reducing risk. Reducing target prices affects a cross section of Illinois farmers more equally than decreasing acres eligible for deficiency payments but penalizes them more to achieve the same effect on the federal budget. Variability aversion is important.","Made available in DSpace on 2011-05-07T12:30:47Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9624441.pdf: 10785184 bytes, checksum: 3a73891aa2cf96b49310d82f9312bf34 (MD5) Previous issue date: 1995","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:41:59Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:18:14-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["Farmer participation in government commodity programs: A multiyear risk management analysis"]}]}],"canonical_facts":{"dc:contributor":["Hauser, Robert J."],"dc:creator":["Monke, James Dale"],"dc:date":["2011-05-07T12:30:47Z","10000-01-01","1995"],"dc:description":["Government programs for agricultural commodities affect planting decisions and farm income for many producers. Many proposals to reduce federal expenditures are being considered for reform in the 1995 Farm Bill. In order to determine the effect of these proposals on both farmers and government, the producer's planting and participation behavior must be analyzed. This study determines the value to an individual farmer of participating in government programs in a stochastic, multiyear planning environment. It also determines how producer behavior might change if certain proposals for the 1995 Farm Bill are adopted.","Stochastic elements are important because program participation and crop diversification may be substituted to manage risk. Multiyear planning is important because the ability to collect program benefits depends on dynamic planting decisions. The mathematical model uniquely combines a discrete stochastic program of uncertain ARP parameters and nested MOTAD submodels of intrayear variability. This new approach is the first known empirical study applying both risk- and variability-aversion coefficients in a multiyear model.","Results indicate that government programs are very valuable to producers by both increasing income and reducing risk. Reducing target prices affects a cross section of Illinois farmers more equally than decreasing acres eligible for deficiency payments but penalizes them more to achieve the same effect on the federal budget. Variability aversion is important.","Made available in DSpace on 2011-05-07T12:30:47Z (GMT). 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