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| Registros recuperados: 23 | |
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| Alemán Morales, Mireya. |
| La producción de “setas” (Pleurotus ostreatus), es una alternativa para producir y diversificar los alimentos que requiere la población en México. En el país es escasa la información acerca de la rentabilidad de éste cultivo. Por ello, el objetivo de este trabajo fue estimar una función de producción que muestre matemáticamente la relación funcional entre los insumos productivos utilizados y la producción “setas”. La variable dependiente la constituyó la producción de “setas” producidas y la variable independiente fueron las bolsas en producción. Los resultados económicos mostraron que la etapa de producción II, la que es económicamente relevante, se inicia en el punto donde se encuentran en el área de producción 2449 bolsas y termina donde el producto... |
| Tipo: Tesis |
Palavras-chave: Función de producción; Pleurotus ostreatus; Optimización; Rentabilidad; “setas”; Production function; Pleurotus ostreatus; Optimisation; Viability; “mushrooms”. |
| Ano: 2008 |
URL: http://hdl.handle.net/10521/1417 |
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| Alves, Eliseu Roberto de Andrade. |
| The article deals with the cost function at a mathematical level that only requires knowledge of differentials, but except for that, it keeps rigor at a high level. It only states theorems that require long proofs. The article justifies the existence of the cost function, points out its properties, and shows how it relates with the production function in the sense that one is the dual to the other. The article discusses partial and scale elasticities, both in the context of production and cost functions. Whenever profit is maximized, one is the reciprocal of the other. The cost function has not a defined form in the sense that it can be deduced from the axioms of production theory. But the articles points out the plausibility of the form that resembles an... |
| Tipo: Journal Article |
Palavras-chave: Cost function; Production function; Return to scale; Average cost; Profit; Production Economics. |
| Ano: 2007 |
URL: http://purl.umn.edu/54595 |
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| Neal, Mark. |
| Production functions that take into account uncertainty can be empirically estimated by taking a state contingent view of the world. Where there is no a priori information to allocate data amongst a small number of states, the estimation may be carried out with finite mixtures model. The complexity of the estimation almost guarantees a large number of local maxima for the likelihood function. However, it is shown, with examples, that a variation on the traditional method of finding starting values substantially improves the estimation results. One of the major benefits of the proposed method is the reliable estimation of a decision maker's ability to substitute output between states, justifying a preference for the state contingent approach over the use... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Production function; Econometrics starting values state contingent production Production Economics. |
| Ano: 2007 |
URL: http://purl.umn.edu/10435 |
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| Mjelde, James W.; Capps, Oral, Jr.; Griffin, Ronald C.. |
| Impacts of alternative specifications for heteroscedastic error structures are examined by estimating various production functions for corn in Central Texas. Production- and profit- maximizing levels of input and the shape of the profit equation obtained from models not corrected for heteroscedasticity differed from those obtained from models corroded for heteroscedasticaity. Using the profit-maximizing input levels for each production function gave essentially the same estimated yield and profit, regardless of the specification for heteroscedasticity employed. Differences of up to one-quarter to one-third are noted, however, in the amount of profit-maximizing levels of input used, depending on the heteroscedasticity correction. |
| Tipo: Journal Article |
Palavras-chave: Corn; Heteroscedasticity; Production function; Research Methods/ Statistical Methods. |
| Ano: 1995 |
URL: http://purl.umn.edu/15329 |
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| Joerding, Wayne H.; Li, Ying; Young, Douglas L.. |
| Feedforward networks have powerful approximation capabilities without the "explosion of parameters" problem faced by Fourier and polynomial expansions. This paper first introduces feedforward networks and describes their approximation capabilities, then we address several practical issues faced by applications of feedforward networks. First, we demonstrate networks can provide a reasonable estimate of a Bermudagrass hay fertilizer response function with the relatively sparse data often available from experiments. Second, we demonstrate that the estimated network with a practical number of hidden units provides reasonable flexibility. Third, we show how one can constrain feedforward networks to satisfy a priori information without losing their flexible... |
| Tipo: Journal Article |
Palavras-chave: Biological process models; Feedforward networks; Production function; Neural networks; Research Methods/ Statistical Methods. |
| Ano: 1994 |
URL: http://purl.umn.edu/15430 |
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| Yasar, Mahmut; Raciborski, Rafal; Poi, Brian P.. |
| Productivity is often computed by approximating the weighted sum of the inputs from the estimation of the Cobb–Douglas production function. Such estimates, however, may suffer from simultaneity and selection biases. Olley and Pakes (1996, Econometrica 64: 1263–1297) introduced a semiparametric method that allows us to estimate the production function parameters consistently and thus obtain reliable productivity measures by controlling for such biases. This study first reviews this method and then introduces a Stata command to implement it. We show that when simultaneity and selection biases are not controlled for, the coefficients for the variable inputs are biased upward and the coefficients for the fixed inputs are biased downward. |
| Tipo: Article |
Palavras-chave: Opreg; Levpet; Production function; Bias; Simultaneity; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/122587 |
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| Dhehibi, Boubaker; Lachaal, Lassaad. |
| This paper analyse the patterns of productivity and economic growth in the Tunisian agriculture during the 19612000. Results indicated that agriculture output growth where high in both the 19611970 and the 19711980 periods but decreased during the 19912000 period. Average output growth exceeded 6% during the 19811990 period, the average output growth during 19912000 had fallen to 4%. Over the whole period, capital was the most important contributor to output growth and labour is considered as the least significant contributor to economic growth. Total factor productivity contribution to output growth decreased from 4.64% in 19611970 to 2.86% in 19711980. In contrast, this contribution increased in 1981-1990 to close the 4.38%. In the last period,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Production function; Translog; Agriculture; TFP; Tunisia; International Development; Productivity Analysis; C8; O13; O14. |
| Ano: 2006 |
URL: http://purl.umn.edu/25707 |
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| Toledo T,Roger; Engler P,Alejandra. |
| Decisions are strongly influenced by risk and risk preferences of decision makers; however, in Chile there are few studies in the agricultural sector focused on this topic. The present paper analyzes the risk preferences of small producers of raspberries (Rubus idaeus L.) and the production function associated with their production system in the Bio-Bio Region of Chile. Under a mean-variance approach, the estimation procedure uses a flexible utility function to incorporate a variety of risk preference alternatives. Three different estimation procedures were used: Least Squares Estimation, Seemingly Unrelated Regression and Full Information Maximum Likelihood, which revealed the same conclusions. Results showed that small farmers are risk averse (γ... |
| Tipo: Journal article |
Palavras-chave: Risk aversion; Mean-variance utility function; Production function. |
| Ano: 2008 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000200007 |
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| Registros recuperados: 23 | |
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