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dc.creatorSaez, Roberto R.
dc.date.accessioned2020-08-21T21:51:21Z
dc.date.available2020-08-21T21:51:21Z
dc.date.issued1983
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-515554
dc.descriptionTypescript (photocopy).en
dc.description.abstractUsing a comprehensive multiproduct-multifactor approach to product supply and factor demand analysis, this study analyzes 8 commodity groups and 8 input categories for the post-war (1946-1979) period for 10 farm production regions in the U.S. Product categories include livestock products, feed grains, food grains, oil crops, hay-forage, cotton, tobacco, and vegetable-fruit-sugar crops. Variable input categories are agricultural chemicals, feed-seed-livestock purchases, mechanical power-machinery, taxes-interest, hired labor, and miscellaneous inputs. Family labor and real estate are assumed to be fixed or quasi-fixed in the short-run. Other relevant exogenous variables are weather, government policies, and technology. Own and cross price elasticities of product supply and input demand are computed for each of the 10 regions and for the U.S. (derived from the regional estimates). Sensitivity of the results to alternative functional forms is examined. Predictive accuracy is evaluated both within and outside the data period. Tests are conducted on selected hypotheses about production structure and on implications of the competitive model. The specified system of supply and demand equations are the first derivatives of the indirect restricted profit function. Econometric estimation is accomplished using generalized least squares on the seemingly unrelated system. The normalized quadratic form of the profit function is judged superior to the translog form both in conformity of results to theoretical expectations and in explanatory power of the dependent variables. Own-price input demand parameters more closely approximate competitive expectations than do own-price product supply parameters. Derived U.S. supply and demand elasticities give own-price effects that are more consistent with theoretical expectations than most of the individual regions. Adjusting U.S. elasticities for upward-sloping variable input supply curves has only a modest effect on the implied responsiveness of producers. Explanatory power over the historical data and simulation beyond the data range are both acceptable but not outstanding. Symmetry, homogeneity and convexity in prices of the implied profit function are not supported by the data. Homotheticity in outputs is not rejected for the Texas-Oklahoma region, but weak separability of several subsets is rejected; for the Texas-Oklahoma region, Hick's-neutral technological change is rejected for variable inputs but not for outputs, and Solow-neutral and Harrod-neutral technical change are rejected; nonjointness is rejected in most regions; short-run scale effects are smaller than 1 in all regions.en
dc.format.extentxvii, 214 leaves ;en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectAgrarmarkten
dc.subjectMehrproduktproduktionen
dc.subjectProduktionskostenen
dc.subjectTheorieen
dc.subjectUSAen
dc.subjectAgricultural Economicsen
dc.subject.classification1983 Dissertation S127
dc.subject.lcshAgricultureen
dc.subject.lcshEconomic aspectsen
dc.subject.lcshUnited Statesen
dc.subject.lcshSupply and demanden
dc.titleMultiproduct agricultural supply response and factor demand estimation in the U.S. : the profit function approachen
dc.typeThesisen
thesis.degree.disciplinePhilosophyen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.namePh. D. in Philosophyen
thesis.degree.levelDoctorialen
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc10470750


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