{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/21796"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/21796","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The effects of data aggregation on econometric estimates of climate change impact on corn and soybean production in the Midwest","abstract":"Climatologists have attempted to predict changes in regional climate patterns caused by increasing levels of CO$\\sb2$ and other trace gases in the atmosphere. Although the effects of climate are felt at the individual firm level, aggregate effects on crop production will determine if significant price movements will occur. Therefore, aggregate economic analysis which is based on theory of the firm under uncertainty is needed to assess the impact of climate change on crop production. Econometric estimation of the relationship between yields and key climatic variables can provide estimates of impact of climate change on yields. Then, acreage response equations are a reasonable alternative for modeling adjustments in regional land allocation in response to changing yield expectations.","abstract_html":"Climatologists have attempted to predict changes in regional climate patterns caused by increasing levels of CO$\\sb2$ and other trace gases in the atmosphere. Although the effects of climate are felt at the individual firm level, aggregate effects on crop production will determine if significant price movements will occur. Therefore, aggregate economic analysis which is based on theory of the firm under uncertainty is needed to assess the impact of climate change on crop production. Econometric estimation of the relationship between yields and key climatic variables can provide estimates of impact of climate change on yields. Then, acreage response equations are a reasonable alternative for modeling adjustments in regional land allocation in response to changing yield expectations.","abstract_has_math":true,"creators":["Park, Wayne Ivan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural Engineering","degree_department":null,"school":null,"contributors":["Garcia, Philip"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T13:19:24Z","date_published":"2011-05-07T13:19:24Z","updated_at":"2026-07-22T22:25:18Z","subjects":["Agriculture, Agronomy","Agriculture, General","Economics, Agricultural","Physics, Atmospheric Science"],"languages":["eng"],"rights":["Copyright 1992 Park, Wayne Ivan"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9215864","(UMI)AAI9215864"],"render_values":[{"text":"AAI9215864","href":null,"code":true},{"text":"(UMI)AAI9215864","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/21796","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Garcia, Philip"]},{"key":"dc:creator","label":"Author","values":["Park, Wayne Ivan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T13:19:24Z","10000-01-01","1992"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural Engineering"]},{"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":["Agriculture, Agronomy","Agriculture, General","Economics, Agricultural","Physics, Atmospheric Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1992 Park, Wayne Ivan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9215864","(UMI)AAI9215864","http://hdl.handle.net/2142/21796"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Climatologists have attempted to predict changes in regional climate patterns caused by increasing levels of CO$\\sb2$ and other trace gases in the atmosphere. Although the effects of climate are felt at the individual firm level, aggregate effects on crop production will determine if significant price movements will occur. Therefore, aggregate economic analysis which is based on theory of the firm under uncertainty is needed to assess the impact of climate change on crop production. Econometric estimation of the relationship between yields and key climatic variables can provide estimates of impact of climate change on yields. Then, acreage response equations are a reasonable alternative for modeling adjustments in regional land allocation in response to changing yield expectations.","If estimates of climate change impact on regional and national crop production are desired, it becomes necessary to model acreage response to an aggregate level to make the problem manageable. Estimates can be made at crop reporting district (CRD), state, or higher levels of aggregation. This dissertation examines the problems of aggregation in econometric modeling, and attempts to determine the relative merits of CRD and state level models for assessing the economic impact of a climate change on midwestern corn and soybean production.","Aggregate equations, such as state level acreage or yield equations, will usually suffer from aggregation error, however, aggregation may also reduce problems with specification errors. Thus, tests for consistent aggregation and model selection criteria are presented for assessing the tradeoff between aggregation and specification errors. This tradeoff generally favored CRD level yield equations, but favored state level acreage equations due to greater specification problems of the disaggregate acreage equations. Nonetheless, the effect of aggregation on estimation of climate change impact was small relative to other sources of error. The results suggest that the aggregate effects of climate change in major corn-producing states may be estimated with state level data.","Made available in DSpace on 2011-05-07T13:19:24Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9215864.pdf: 10626058 bytes, checksum: 1a609ab20e65e381bea545e32b1382d8 (MD5) Previous issue date: 1992","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:53:16Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:24:37-05:00 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":["The effects of data aggregation on econometric estimates of climate change impact on corn and soybean production in the Midwest"]}]}],"canonical_facts":{"dc:contributor":["Garcia, Philip"],"dc:creator":["Park, Wayne Ivan"],"dc:date":["2011-05-07T13:19:24Z","10000-01-01","1992"],"dc:description":["Climatologists have attempted to predict changes in regional climate patterns caused by increasing levels of CO$\\sb2$ and other trace gases in the atmosphere. Although the effects of climate are felt at the individual firm level, aggregate effects on crop production will determine if significant price movements will occur. Therefore, aggregate economic analysis which is based on theory of the firm under uncertainty is needed to assess the impact of climate change on crop production. Econometric estimation of the relationship between yields and key climatic variables can provide estimates of impact of climate change on yields. Then, acreage response equations are a reasonable alternative for modeling adjustments in regional land allocation in response to changing yield expectations.","If estimates of climate change impact on regional and national crop production are desired, it becomes necessary to model acreage response to an aggregate level to make the problem manageable. Estimates can be made at crop reporting district (CRD), state, or higher levels of aggregation. This dissertation examines the problems of aggregation in econometric modeling, and attempts to determine the relative merits of CRD and state level models for assessing the economic impact of a climate change on midwestern corn and soybean production.","Aggregate equations, such as state level acreage or yield equations, will usually suffer from aggregation error, however, aggregation may also reduce problems with specification errors. Thus, tests for consistent aggregation and model selection criteria are presented for assessing the tradeoff between aggregation and specification errors. This tradeoff generally favored CRD level yield equations, but favored state level acreage equations due to greater specification problems of the disaggregate acreage equations. Nonetheless, the effect of aggregation on estimation of climate change impact was small relative to other sources of error. The results suggest that the aggregate effects of climate change in major corn-producing states may be estimated with state level data.","Made available in DSpace on 2011-05-07T13:19:24Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9215864.pdf: 10626058 bytes, checksum: 1a609ab20e65e381bea545e32b1382d8 (MD5) Previous issue date: 1992","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:53:16Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:24:37-05:00 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"],"dc:identifier":["AAI9215864","(UMI)AAI9215864","http://hdl.handle.net/2142/21796"],"dc:language":["eng"],"dc:rights":["Copyright 1992 Park, Wayne Ivan"],"dc:subject":["Agriculture, Agronomy","Agriculture, General","Economics, Agricultural","Physics, Atmospheric Science"],"dc:title":["The effects of data aggregation on econometric estimates of climate change impact on corn and soybean production in the Midwest"],"dc:type":["text"],"thesis:degree_discipline":["Agricultural Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:18Z"}