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PROBLEMS AND RESULTS IN THE USE OF FARM ACCOUNT RECORDS TO DERIVE COBB-DOUGLAS VALUE PRODUCTIVITY FUNCTIONS. PDF

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Preview PROBLEMS AND RESULTS IN THE USE OF FARM ACCOUNT RECORDS TO DERIVE COBB-DOUGLAS VALUE PRODUCTIVITY FUNCTIONS.

PROBLEMS AND RESULTS IN THE USE OF FARM ACCOUNT RECORDS TO DERIVE COBB-DOUGLAS VALUE PRODUCTIVITY FUNCTIONS By LOUIS SCHNEIDER DRAKE A THESIS Submitted to the School of Graduate Studies of Michigan State College of Agriculture and Applied Science in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Agricultural Economics 1952 PBOBLXMS AMD R0ULTS IM THX USB OF PAW ACCOUNT BBCORDS TO DBIXY1 OGBB-DOUOIUB TALUB PBOXXJCTIPZTT PUMCTXOM br Louie Schneider Drain An Abairaot of a thaaii praaaaiad to M u .School of Qreduate Stodlee oP 1H nhtgan St*to College In partial ftilftU— it of the roqulroaoato Tor the degree of DOCTOft OP PHILOSOPHY Department of Agricultural Xeenoad.ee Approved ISOlS M M i i M r WWlI lit AMD IBDU IiniOII or rum aooouot w o o m to n m COIB-DOOOLAS TALUB PhOOSCTIYITI rUSCTIO» (41 ABSTKAOT) A t purpose or thia «tod|r is to tort tot i— fwlwm «f tot CrtW Dooglas toLtt pvotort&flto fwrtiw ftr trtltrtlip tot gross insoae of t fora by considering tot Input# or fatton nsrt. This fowtiat ptr> alts — t1 noting or olsstisitiss of gross lnooao with roopoot to rostors and tta# norginal ▼olao prodnotlwltiss of rostors* Tho hypothesis lo sot up that sop orison tot low nith tho fhaot&on will shoo thot tho lsttor os* tiaotoo will bo nsoTnl to faraan. Tho hppothools is adronood that dif- foronooo botnoon rooorded grooo Inn on a and gross iaooaao ootinotod ftoo Cobb-Doagloo equations eon bo osooontod for by Torlotloas botnoon fans in prlsos resolved, yields and prodostion rataa, ohoiso of enterprises, and also of business* Spoolol ottowtlon is givon to prooodaroo whioh will noko o totlotlool ly dotomlnod value productivity equations of pros* tleal value to fanara. ran Iho dots a n lpU osooont rooords for tjrpo of-famlng oroos 5 and 6t Michigan, 1990. Tho rorns oro cl aoolflod Into too groups, daliy and othor than dairy. This lo dona in order that tho statistical techniques nagr bo triad on a group of honogonooos fans (dairy), as wall aa on tho noro heterogeneous group of all fams. Tho statistical aothod consists oT oonwortlng tho fan aooount data into logorithno and solving for aquations ootlnatlng gross 1 noons by least oquareo* M s tilw iU if Droho On of tt« Cobb HwflM fuwtiN to « U m N |to m Imom « A mmr- glaal rvtarnt to laputa n t N on ttw> prlauy m b u H — >. H m n «« Ihti tlto gtltltoNldp Oitw m giM« iMNt and anjr parti— lor input lo Unit la tho logarlthno # that grooo lnoono lo o ftwrtioi of laputa* and that dlfforont fan aro ooaonttally trialo «lth ?ai U | oomblnatlono of 00 7 faotoro* all f«no bolag oa nubotaattally the mono valao produntivitar funotlon. Thaoo aooumptloaa aro ooaoldarod* It lo oheoa that tho Cohb-Oooglae funotlon glvoo a good oatlaato of grooo lnooao* Tho ootlaatoo of marginal valao prodnotlTitioo of faotoro tarn oat to bo about ao ahoald bo orpootod a priori* For dlf«* foroat oquatlono ootlaatlag grooo lnooao tho marginal valao prodaotlvlty of iavootaoat la load vorloo botaoon 0.03b and 0*096 la Ito ootlmatod ▼aluo* Iho ootlaato of tho marginal roturn to larootaoat la naoMiiarjr» Inoladlng oboolooooaro and doproolatloa ao amll aa Intoroot* mngoa firsa 0.23 to 0*35* Thaoo ootlaatoo and alallar onoo rofor to tho rotara to a aarglaal dollar of larootaoat or ohargo* Tho roonlta of tho work ouggoot that fara hunt nooo amaljrola roporto max profitably laelndo tho following Information • 1* latinotoa of grooo laoomo, that a foraor would homo a aotloh 00 of what ho ahould rooolro^ eoaoldorlag hlo lapato la rolatloa to tho laputo of othor f armora. 2* Satlaatoa of arorago aarglaal valao prwdaotlrltloo of footoro for all famo that thoro ahould bo an additional boolo fbr 00 ronnnaonriotlono for futuro oxpondlturoa on tho avorago farm. 3* Kotiaatoo of marginal Td.no produotlTltloa on individual farao to holp dnraoro plan for tho futuro* [)W«< m Sohnaldar DpaIh k» fcylaniU o M of la grota Iimmm a d ast laaat ftnoa thatr ootlastod valooo aardlng to tho affooto of jrlalda, prloM, ohoioo of «WrpriMit a d olso of batiain. In this ttadjr tho ootlaatoo of grooo lnooao aad aarglaal valao prodaotlvltlaa of 1x9 a to aro baaod oa all far ao, ao aro tho ootlaatoo of tho offoeto of dlfforoaooo In jlolda and prlooo. Tho standard of ooaparlooa nood not noooooarllr bo tho •anrorago" fan bat mmj bo a group of high profit far oa • ACKNOWLEDGE ME NTS The author wishes to express his sincere apprecia­ tion to the members of his graduate committee and to his teachers Tor their encouragement, high standards, and gen­ erous assistance and criticism. Those who helped particularly in the preparation of this dissertation are Professor T. K. Cowden, who gave much encouragement and confidence in the worth of study— in;’; agricxilture at the level of the whole farm as a unit;. Professor L. V/. Y/itt, who showed how to specify the prob­ lem and how to set up the method of study; Professor L# H. Brown, who gave invaluable suggestions for uses of the method and the results; Professor V. E. Smith, whose know­ ledge of production functions provided the author with most necessary criticisms as the work was in progress; Professor Leo Katz, who showed now to set up and test the statistical work, within the limitations of the data; and Professor Glen T. Johnson, visiting professor at Michigan State College, who pointed out basic porblems and numer­ ous potentialities in the use of the Cobb-Douglas function and gave much valuable counsel and criticism. Others who contributed to the work are Professor K. T. .’/right, who gave ideas for analyzing the data in consider­ ation of its intended use; Professor C. R. Koglund, who suggested ways of finding out how data could be improved for work with gross income functions in the future; and Pro ii fessors W. D. Baten and L. L. Boger, both of whom helped generously with mathematical problems. The author acknowledges his debt to Professor E. E. Peterson, In whose course In agricultural production econ omics he came on the application of the exponential gross Income function to farming. Professor Peterson helped him set out the Idea of the work In definite form, and to coordinate the method with the available data. Teachers other than those directly concerned with the dissertation have helped the author to form a phil­ osophy of an economic system and to realize the possibil­ ities of service through study of the economics of agri­ culture. These professors are D. C. Cline, R. W. Llnd- holn, Leonard Ball, I.!, F. Cravens, and Raleigh 3arlowe. Thanks are due the farm account clerks for their willing aid with the computations, typing, and diagrams. By his understanding cooperation In granting the au­ thor an extended leave of absence, Dean Fay L. Partlo of the Michigan College of Mining and Technology helped to make the work possible. It Is Impossible to give specific credit——or enough— to the anonymous workers who, over the years, have devel­ oped the Michigan farm account system, compiled the data, and thus provided the foundation on which this work could be built. ill VITA Louis Schneider Drake was born in Leelenau County, Michigan, on June 11, 1912* He attended, public schools in Traverse City, Bellaire, and Mancelona, Michigan, and graduated from the Mancelona High School in 1929* At Michigan State College he specialized in agricultural economics and farm management, and obtained the degree of Bachelor of Science in 193U- from that institution, lie obtained a graduate as si stantship in farm mangement at Cornell University and pursued graduate studies from 193^4- to 1937* At that time he accepted a position as Land Use Specialist for the Resettlement Administration, and was 1 ter transferred to the Bureau of Agricultural Economics as Acting B. A. E. Representative for New York State. He received the degree of Master of Science from Cornell University In 1939* He was with the federal government as Assistant B. A. E. Representative for Michigan and B. A. E. Representative for Connecticut un­ til 191^2. He had meanwhile, from 1939 until 19U2 been a partner In a commercial potato farm in Houghton County, Michigan, and continued In the farming business until l?li-8. In 19-4-6 he accepted a position with the Michigan College of Mining and Technology in the department of engineering administration, where he was successively an Instructor, an assistant professor, and an associate professor of economics, which position he now holds. iv INTRODUCTION A Brief of the Purpose, Materials, Methods and Results of the Dissertation I# Purpose of the study and definition of terms: the purpose of this study is to show how certain types of formulas can aid fanners in determining A* How their gross Incomes compare with those of other farms when investments and expenses are considered;(estimate of gross income); 3, What increase In gross Income farmers should expect If they increase any single kind of out­ lay by a "iven proportion (elasticities of prose income v.'ith respect to factors of production) ; C. What the additional returns for additional out­ lays are (estimates of marginal returns to fac- tors); D* Why net Income usually varies from Its expected amount (effects on net Income of yields, pro­ duction rates, prices, and size of business)* II. Materials: Two types of materials are used In this study; A. The analytic tools: the Cobb-Douglas gross in- a b k come estimating equstions--P r Cx y ...z_ • (Chapter I) 3* The data: observations of I9I+ farms in type-of- farming areas 5 and 6, HIchipan, 1950 (Chapter II) v Ill* Methods (Chapters III and IV) A* Classificatory methods 1. Inputs: factors of the farm business are classified into different categories with different degrees of refinement. Thus more insight is gained into the componental structure of gross income; 2* Farms: the farms are divided into two group s: a* 86 dairy farms b* 108 farms other than dairy. 3* Mathematical methods 1. The categories of factors end *rooc income are taken off the farm account records; 2* These data are converted into logarithms; 3* Regression equations are calculated by the Doolittle method; Standard errors of estimate of single co­ efficients are computed in some cases; 5* The elasticities of gross income with re­ spect to categories of factors are given by the coefficients of the terms on the rl;^it— hand side of each logarithmic equation; 6. Marginal value productivities of categories of factors are determined by taking the partial derivatives of the gross income vi

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