TITLE

Econometric Analysis of Grading Standards: The Ordered Fractional Approach

AUTHOR(S)
Kawasaki, Kentaro; Lichtenberg, Erik
PUB. DATE
January 2014
SOURCE
American Journal of Agricultural Economics;Jan2014, Vol. 96 Issue 1, p345
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We present a method for estimating the quality of production when quality is measured by discrete grades and is thus both ordinal and fractional. Monte Carlo experiments indicate that our method estimates average partial effects of quality determinants more accurately than linear estimators, and provides estimates with low bias even with weak instruments. An application of the model to wheat production in Japan demonstrates the importance of disease control in determining wheat grade. Weather variable coefficients suggest that climate change could actually improve wheat quality in Japan, thereby allowing farmers to reduce fungicide use and other inputs, as well as switch varieties.
ACCESSION #
93914939

 

Related Articles

  • Bridge function and cavity correlation function for the Lennard-Jones fluid from simulation. Llano-Restrepo, Mario; Chapman, Walter G. // Journal of Chemical Physics;8/1/1992, Vol. 97 Issue 3, p2046 

    In this paper we present the results of a Monte Carlo simulation study of the cavity correlation function y(r) for the Lennard-Jones (LJ) fluid over a range of liquidlike densities and temperatures from the triple point to supercritical conditions. We also calculate the direct correlation...

  • Estimation of AR(1) models with unequally spaced pseudo-panels. McKenzie, David J. // Econometrics Journal;Jun2001, Vol. 4 Issue 1, p89 

    Surveys in developing countries are often taken at unequally spaced intervals. This paper provides for the estimation of dynamic pseudo-panel models with such data. Nonlinear least squares, minimum distance, and one-step estimators are used to impose the nonlinear parameter restrictions which...

  • Biotic Element Analysis in Biogeography. Hausdorf, Bernhard; Hennig, Christian // Systematic Biology;Oct2003, Vol. 52 Issue 5, p717 

    Biotic element analysis is an alternative to the areas-of-endemism approach for recognizing the presence or absence of vicariance events in a given region. If an ancestral biota was fragmented by vicariance events, biotic elements or clusters of distribution areas should emerge. We propose a...

  • Monte Carlo Sampling in Path Space: Calculating Time Correlation Functions by Transforming Ensembles of Trajectories. Dellago, Christoph; Geissler, Phillip L. // AIP Conference Proceedings;2003, Vol. 690 Issue 1, p192 

    Computational studies of processes in complex systems with metastable states are often complicated by a wide separation of time scales. Such processes can be studied with transition path sampling, a computational methodology based on an importance sampling of reactive trajectories capable of...

  • Combination of General Antithetic Transformations and Control Variables. Ben-Ameur, Hatem; L'Ecuyer, Pierre; Lemieux, Christiane // Mathematics of Operations Research;Nov2004, Vol. 29 Issue 4, p946 

    Several methods for reducing the variance in the context of Monte Carlo simulation are based on correlation induction. This includes antithetic variates, Latin hypercube sampling, and randomized version of quasi-Monte Carlo methods such as lattice rules and digital nets, where the resulting...

  • Correlations of a bound interface over a random substrate. De Coninck, J.; Dunlop, F.; Huillet, T. // European Physical Journal B -- Condensed Matter;Dec2006, Vol. 54 Issue 3, p341 

    The correlation function of a one-dimensional interface over a random substrate, bound to the substrate by a pressure term, is studied by Monte-Carlo simulation. It is found that the height correlation , averaged over the substrate disorder, fits a form $ae^{-(j/b)^c}$ to a surprising...

  • Testing structural breaks versus long memory with the Box�Pierce statistics: a Monte Carlo study. Bisaglia, Luisa; Gerolimetto, Margherita // Statistical Methods & Applications;2009, Vol. 18 Issue 4, p543 

    Several studies have found that occasional-break processes may produce realizations with slowly decaying autocorrelations, which is hardly distinguished from the long memory phenomenon. In this paper we suggest the use of the Box�Pierce statistics to discriminate long memory and...

  • Equations to Generate Normal Variates with Desired Intercorrelation Matrix. Ayinde, Kayode // International Journal of Statistics & Systems;2007, Vol. 2 Issue 2, p99 

    In Monte Carlo studies that involves multicollinearity, cointegration or any other form of correlation problems; it is often desired to generate variables that exhibit different degree of intercorrelations. In this paper, we provide equations that generate normally distributed random variables...

  • On the Performance of the Measure for Diagnosing Multiple High Leverage Collinearity-Reducing Observations. Bagheri, Arezoo; Habshah Midi // Mathematical Problems in Engineering;2012, Vol. 2012, Special section p1 

    There is strong evidence indicating that the existing measures which are designed to detect a single high leverage collinearity-reducing observation are not effective in the presence of multiple high leverage collinearity-reducing observations. In this paper, we propose a cutoff point for a...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics