|
|
|
| Registros recuperados: 20 | |
|
| |
|
| |
|
|
| McIntosh, Christopher S.; Shumway, C. Richard. |
| A restricted profit function model of California agriculture is specified and estimated subject to prior information provided by economic theory. Symmetry, homogeneity, and convexity of the profit function are maintained in the estimation. Parameter estimates and elasticities are presented for four input and 10 output equations. Tests of the hypotheses of nonjointness in inputs and Hicks-neutral technical change in variable inputs and outputs are rejected. The impacts of decoupling agricultural program payments are examined. |
| Tipo: Journal Article |
Palavras-chave: Agricultural Finance. |
| Ano: 1991 |
URL: http://purl.umn.edu/32610 |
| |
|
| |
|
| |
|
|
| Wysocki, Allen F.; Fairchild, Gary F.; Weldon, Richard N.; Biere, Arlo W.; Fulton, Joan R.; McIntosh, Christopher S.. |
| Agricultural marketing courses cover a broad spectrum of topics and issues. Undergraduate committees, program coordinators, and marketing-oriented faculty struggle with the appropriate number and content of marketing course offerings. Curricula issues are discussed from the perspectives of three agricultural economics departments. Size, expertise, interests, and pedagogic philosophy assist in determining the number, mix, and content of courses. Solving these problems includes modulization and increasing depth or breadth, to reflect the changing marketing system and student needs. Educators must continually look outward at the changing food system and inward to their marketing curriculum to assess needs and implement changes as they are warranted. |
| Tipo: Journal Article |
Palavras-chave: Agribusiness curricula; Agricultural marketing; Marketing courses; Marketing curricula; Teaching/Communication/Extension/Profession. |
| Ano: 2003 |
URL: http://purl.umn.edu/14670 |
| |
|
| |
|
|
| Dorfman, Jeffrey H.; McIntosh, Christopher S.. |
| Forecasts of economic time series are often evaluated according to their accuracy as measured by either quantitative precision or qualitative reliability. We argue that consumers purchase forecasts for the potential utility gains from utilizing them, not for their accuracy. Using Monte Carlo techniques to incorporate the temporal heteroskedasticity inherent in asset returns, the expected utility of a set of qualitative forecasts is simulated for corn and soybean futures prices. Monetary values for forecasts of various reliability levels are derived. The method goes beyond statistical forecast evaluation, allowing individuals to incorporate their own utility function and trading system into valuing a set of asset price forecasts. |
| Tipo: Journal Article |
Palavras-chave: Commodity prices; Forecast evaluation; Value of information; Consumer/Household Economics. |
| Ano: 1997 |
URL: http://purl.umn.edu/15060 |
| |
|
| |
|
| |
|
|
| Stavriotis, Paul A.; Houston, Jack E.; McIntosh, Christopher S.; Turner, Steven C.. |
| Resurging southeastern cotton production compels better cotton acreage forecasts for planning seed, chemical, and other input requirements. Structural models describe leading acreage response indicators, and forecasts are compared time-series models. Cotton price, loan rate, deficiency payments, lagged corn acreage, the PIK program, and previous cotton yield significantly influence response. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Crop Production/Industries. |
| Ano: 1998 |
URL: http://purl.umn.edu/16717 |
| |
|
|
| McIntosh, Christopher S.; Shideed, Kamil H.. |
| Corn acreage response in Iowa is examined using a time-varying parameter regression model. Separate estimates of the permanent portion of the parameter vector are obtained for each year over the period 1957-82. The estimated elasticities are grouped into program and nonprogram periods. The results indicate corn acreage response is more own-price elastics, and the elasticity is less variable under government acreage control programs than under a nonprogram regime. The assumption of parameter constancy is shown to be inappropriate for modeling Iowa corn acreage response over time. |
| Tipo: Journal Article |
Palavras-chave: Agricultural and Food Policy; Crop Production/Industries. |
| Ano: 1989 |
URL: http://purl.umn.edu/32462 |
| |
|
| |
|
| |
|
|
| McIntosh, Christopher S.; Bessler, David A.. |
| Forecast users and market analysts need quality forecast information to improve their decision-making abilities. When more than one forecast is available, the analyst can improve forecast accuracy by using a composite forecast. One of several approaches to forming composite forecasts is a Bayesian approach using matrix beta priors. This paper explains the matrix beta approach and applies it to three individual forecasts of U.S. hog prices. The Bayesian composite forecast is evaluated relative to composites made from simple averages, restricted least squares, and an adaptive weighting technique. |
| Tipo: Journal Article |
Palavras-chave: Demand and Price Analysis. |
| Ano: 1988 |
URL: http://purl.umn.edu/29269 |
| |
|
| |
|
|
| Saito, Yoshie; McIntosh, Christopher S.. |
| The efficiency of public education is examined using a cost indirect output distance function. Efficiency estimates are obtained using data envelopment analysis applied to data from Georgia public schools. Georgia school districts utilize educational budgets with reasonable efficiency, achieving an overall efficiency of 98% with a range of 93%-100%. If all school districts were 100% efficient, outputs could be expanded 2%. This could be achieved by increasing funding $75.46 million state-wide in total for each of the 3 years. From the consumers’ (voters) point of view, this result suggests that inefficiency costs Georgia, on average, a total of $226.38 million from 1994 to 1996. |
| Tipo: Journal Article |
Palavras-chave: Cost-indirect output distance function; Data envelopment analysis; Education; Efficiency; H72; I21; I28; C60. |
| Ano: 2003 |
URL: http://purl.umn.edu/43197 |
| |
|
|
| Houston, Jack E.; McIntosh, Christopher S.; Stavriotis, Paul A.; Turner, Steven C.. |
| Resurgent cotton production compels better acreage forecasts for planning seed, chemical, and other input requirements. Structural models describe leading acreage response indicators, and forecasts are compared to time-series models. Cotton price, loan rate, deficiency payments, lagged corn acreage, the PIK program, and previous cotton yield significantly influence cotton acreage response. |
| Tipo: Journal Article |
Palavras-chave: Resurgent cotton production; Cotton acreage; Crop Production/Industries. |
| Ano: 1999 |
URL: http://purl.umn.edu/15147 |
| |
| Registros recuperados: 20 | |
|
|
|
