Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure

Gudbrand D. Lien, J. Brian Hardaker and James Richardson ()

No 25449, 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia from International Association of Agricultural Economists

Abstract: Often analysts must conduct risk analysis based on a small number of observations. This paper describes and illustrates the use of a kernel density estimation procedure to smooth out irregularities in such a sparse data set for simulating univariate and multivariate probability distributions.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 17
Date: 2006
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:iaae06:25449

DOI: 10.22004/ag.econ.25449

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