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MODELING NONNEGATIVITY VIA TRUNCATED LOGISTIC AND NORMAL DISTRIBUTIONS: AN APPLICATION TO RANCH LAND PRICE ANALYSIS 31
Xu, Feng; Mittelhammer, Ronald C.; Torell, L. Allen.
This study presents an empirical method of modeling the nonnegativity of dependent variables using truncated logistic and normal disturbance distributions. The method is applied in estimating a ranch land hedonic price function. Results show that the degree of truncation is significant.
Tipo: Journal Article Palavras-chave: Land Economics/Use.
Ano: 1994 URL: http://purl.umn.edu/31238
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Estimating the Costs of Revenue Assurance 31
Xu, Feng; Hart, Chad E.; Smith, Darnell B.; Meyers, William H..
This study estimates the government cost of revenue assurance, one of the many proposals for the 1995 Farm Bill. Under the assumptions of nonnegativity and normality of revenue, a formula for computing the government cost of revenue assurance is derived. This formula is employed to estimate per acre revenue assurance costs at the 70, 75, and 80 percent levels of expected revenue coverage. These costs are compared with results from previous studies and with crop insurance premiums. The relative impacts of changes in yield mean, yield standard deviation, and price-yield correlation are also explored through metamodel analysis. The costs estimated for revenue assurance show that this program would result in substantial budget savings over the current program.
Tipo: Working or Discussion Paper Palavras-chave: Risk and Uncertainty.
Ano: 1995 URL: http://purl.umn.edu/18560
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