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Estimating productivity changes with flexible coefficients
Technical progress in U.S. agriculture is evaluated using a new measure of productivity growth, flexible technical change. This measure allows for nonconstant returns to scale, market structures other than perfect competition, and time-varying coefficients. An integral part of the procedure is the e...
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| Published in: | Western Journal of Agricultural Economics 1991-12, Vol.16 (2), p.280-290 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
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| container_end_page | 290 |
| container_issue | 2 |
| container_start_page | 280 |
| container_title | Western Journal of Agricultural Economics |
| container_volume | 16 |
| creator | Dorfman, J.H. (University of Georgia) Foster, K.A |
| description | Technical progress in U.S. agriculture is evaluated using a new measure of productivity growth, flexible technical change. This measure allows for nonconstant returns to scale, market structures other than perfect competition, and time-varying coefficients. An integral part of the procedure is the estimation of the production function by Flexible Least Squares. Flexible technical change results are compared with two traditional measures of productivity growth and found to be more stable and more precise in a statistical sense. The results suggest that previous studies which employed total factor productivity measures may have overstated the impact of technology in agriculture. |
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(University of Georgia) ; Foster, K.A</creator><creatorcontrib>Dorfman, J.H. (University of Georgia) ; Foster, K.A</creatorcontrib><description>Technical progress in U.S. agriculture is evaluated using a new measure of productivity growth, flexible technical change. This measure allows for nonconstant returns to scale, market structures other than perfect competition, and time-varying coefficients. An integral part of the procedure is the estimation of the production function by Flexible Least Squares. Flexible technical change results are compared with two traditional measures of productivity growth and found to be more stable and more precise in a statistical sense. 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The results suggest that previous studies which employed total factor productivity measures may have overstated the impact of technology in agriculture.</description><subject>AGGREGATE DATA</subject><subject>AGREGAT</subject><subject>Agricultural economics</subject><subject>AGRICULTURAL PRODUCTION</subject><subject>ANALISIS ESTADISTICO</subject><subject>ANALYSE STATISTIQUE</subject><subject>CAMBIO TECNOLOGICO</subject><subject>Capacity utilization</subject><subject>CHANGEMENT TECHNOLOGIQUE</subject><subject>Coefficients</subject><subject>CRECIMIENTO ECONOMICO</subject><subject>CROISSANCE ECONOMIQUE</subject><subject>Crop production</subject><subject>DATOS GLOBALES</subject><subject>ECONOMIC GROWTH</subject><subject>ESTADOS UNIDOS DE AMERICA</subject><subject>ETATS UNIS</subject><subject>flexible least squares</subject><subject>flexible technical change</subject><subject>FONCTION DE PRODUCTION</subject><subject>FUNCIONES DE LA PRODUCCION</subject><subject>LEAST SQUARES</subject><subject>Mathematical independent variables</subject><subject>MEASUREMENT</subject><subject>MEDICION</subject><subject>MESURE</subject><subject>PRODUCCION</subject><subject>PRODUCTION</subject><subject>Production estimates</subject><subject>PRODUCTION FUNCTIONS</subject><subject>PRODUCTIVIDAD</subject><subject>PRODUCTIVITE</subject><subject>PRODUCTIVITY</subject><subject>Productivity growth</subject><subject>STATISTICAL ANALYSIS</subject><subject>Statistical discrepancies</subject><subject>TECHNICAL PROGRESS</subject><subject>TECHNOLOGICAL CHANGES</subject><subject>total factor productivity</subject><subject>USA</subject><issn>0162-1912</issn><issn>1068-5502</issn><issn>2327-8277</issn><issn>2327-8285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNotkE1LxDAQhoMoWFf_gCAUPBcykzQf3mRZP2DBg-65tGnSTant2mTV_fcG6mkOz8P7zswZyZChLBRKeU4yCgIL0ICX5CqEntJSAMOMPGxC9J919GOXH-apPZrov3085WZfj50N-Y-P-9wN9tc3g83NZJ3zxtsxhmty4eoh2Jv_uSK7p83H-qXYvj2_rh-3hUMQsVBG1lyoEo1UFHXLOWuNAuBKC6BAuSuBMWlbIVxDS-QcsQElrGYtU1awFblfctN-X0cbYtVPx3lMlRWgZpSyUulk3S1WH-I0V4c5XTWfKk51-kDJEr9duKunqu5mH6rduwYJLME_PoBUxQ</recordid><startdate>19911201</startdate><enddate>19911201</enddate><creator>Dorfman, J.H. 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(University of Georgia)</au><au>Foster, K.A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating productivity changes with flexible coefficients</atitle><jtitle>Western Journal of Agricultural Economics</jtitle><date>1991-12-01</date><risdate>1991</risdate><volume>16</volume><issue>2</issue><spage>280</spage><epage>290</epage><pages>280-290</pages><issn>0162-1912</issn><issn>1068-5502</issn><eissn>2327-8277</eissn><eissn>2327-8285</eissn><abstract>Technical progress in U.S. agriculture is evaluated using a new measure of productivity growth, flexible technical change. This measure allows for nonconstant returns to scale, market structures other than perfect competition, and time-varying coefficients. An integral part of the procedure is the estimation of the production function by Flexible Least Squares. Flexible technical change results are compared with two traditional measures of productivity growth and found to be more stable and more precise in a statistical sense. The results suggest that previous studies which employed total factor productivity measures may have overstated the impact of technology in agriculture.</abstract><cop>Bozeman, MT</cop><pub>Western Agricultural Economics Association</pub><tpages>11</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0162-1912 |
| ispartof | Western Journal of Agricultural Economics, 1991-12, Vol.16 (2), p.280-290 |
| issn | 0162-1912 1068-5502 2327-8277 2327-8285 |
| language | eng |
| recordid | cdi_proquest_journals_1293003589 |
| source | JSTOR Archival Journals |
| subjects | AGGREGATE DATA AGREGAT Agricultural economics AGRICULTURAL PRODUCTION ANALISIS ESTADISTICO ANALYSE STATISTIQUE CAMBIO TECNOLOGICO Capacity utilization CHANGEMENT TECHNOLOGIQUE Coefficients CRECIMIENTO ECONOMICO CROISSANCE ECONOMIQUE Crop production DATOS GLOBALES ECONOMIC GROWTH ESTADOS UNIDOS DE AMERICA ETATS UNIS flexible least squares flexible technical change FONCTION DE PRODUCTION FUNCIONES DE LA PRODUCCION LEAST SQUARES Mathematical independent variables MEASUREMENT MEDICION MESURE PRODUCCION PRODUCTION Production estimates PRODUCTION FUNCTIONS PRODUCTIVIDAD PRODUCTIVITE PRODUCTIVITY Productivity growth STATISTICAL ANALYSIS Statistical discrepancies TECHNICAL PROGRESS TECHNOLOGICAL CHANGES total factor productivity USA |
| title | Estimating productivity changes with flexible coefficients |
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