{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T05:33:17Z","timestamp":1741152797229,"version":"3.38.0"},"reference-count":12,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[1993,9,1]],"date-time":"1993-09-01T00:00:00Z","timestamp":746841600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of Supercomputing Applications"],"published-print":{"date-parts":[[1993,9]]},"abstract":"<jats:p> The goal of incorporating, into a computable general equilibrium model, an econometric model of agricul tural production that maintains flexibility and global convexity for a large number of inputs and outputs leads to a computationally complex estimation prob lem. We have developed and implemented an iterative least squares procedure to estimate the parameters of this nonlinear production system subject to nonlinear constraints imposed by the underlying economic the ory. The large computer memory of the Cornell Na tional Supercomputer Facility allows the estimation of this large, globally convex, flexible agricultural produc tion system. <\/jats:p>","DOI":"10.1177\/109434209300700307","type":"journal-article","created":{"date-parts":[[2007,3,5]],"date-time":"2007-03-05T01:17:47Z","timestamp":1173057467000},"page":"265-271","source":"Crossref","is-referenced-by-count":0,"title":["Globally Convex Agricultural Production System: Parameter Estimation"],"prefix":"10.1177","volume":"7","author":[{"given":"Agapi L.","family":"Somwaru","sequence":"first","affiliation":[{"name":"ECONOMIC RESEARCH SERVICE U.S. DEPARTMENT OF AGRICULTURE\rWASHINGTON, D.C. 20005-4788"}]},{"given":"Kenneth","family":"Hanson","sequence":"additional","affiliation":[{"name":"ECONOMIC RESEARCH SERVICE U.S. DEPARTMENT OF AGRICULTURE\rWASHINGTON, D.C. 20005-4788"}]}],"member":"179","published-online":{"date-parts":[[1993,9,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.2307\/1241066"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.2307\/1241922"},{"volume-title":"GAMS: a user's guide","year":"1988","author":"Brooke, A.","key":"atypb3"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.2307\/1911156"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1017\/S0899367X00002518"},{"key":"atypb6","doi-asserted-by":"crossref","unstructured":"Jorgenson, D.W. 1986. Econometric methods for modeling producer behavior. In Handbook of econometrics, vol. 3, edited by Z. Griliches and M. D. Intriligator. Amsterdam: North Holland, pp. 1842-1915.","DOI":"10.1016\/S1573-4412(86)03011-8"},{"key":"atypb7","unstructured":"Lau, L.J. 1978. Testing and imposing monotonicity, convexity, and quasi-convexity constraints. In Production economics: a dual approach to theory and applications , vol. 1, edited by M. Fuss and D. McFadden. Amsterdam: North Holland, pp. 409-453."},{"issue":"3","key":"atypb8","first-page":"375","volume":"56","author":"Lawrence, D.","year":"1988","journal-title":"Rev. Marketing Agricultural Econ."},{"volume-title":"Statistical methods of econometrics","year":"1970","author":"Malinvaud, E.","key":"atypb9"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.2307\/1242072"},{"volume-title":"The USDA\/ERS computable general equilibrium (CGE) model of the United States. Staff Report No. AGES 9049","year":"1990","author":"Robinson, S.","key":"atypb11"},{"key":"atypb12","doi-asserted-by":"publisher","DOI":"10.2307\/1242073"}],"container-title":["The International Journal of Supercomputing Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/109434209300700307","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/109434209300700307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T10:38:34Z","timestamp":1741084714000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/109434209300700307"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993,9]]},"references-count":12,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1993,9]]}},"alternative-id":["10.1177\/109434209300700307"],"URL":"https:\/\/doi.org\/10.1177\/109434209300700307","relation":{},"ISSN":["0890-2720"],"issn-type":[{"type":"print","value":"0890-2720"}],"subject":[],"published":{"date-parts":[[1993,9]]}}}