Economics at your fingertips  

Spatially Smoothed Kernel Densities with Application to Crop Yield Distributions

Kuangyu Wen (), Ximing Wu () and David J. Leatham ()
Additional contact information
Kuangyu Wen: Huazhong University of Science and Technology
Ximing Wu: Texas A&M University
David J. Leatham: Texas A&M University

Journal of Agricultural, Biological and Environmental Statistics, 2021, vol. 26, issue 3, No 2, 349-366

Abstract: Abstract This study is motivated by the estimation of many crop yield densities, each with a small number of observations. These densities tend to resemble one another if they are spatially proximate. To gain flexibility and improve efficiency, we propose kernel-based estimators refined by empirical likelihood probability weights derived under spatially smoothed moment conditions. We construct spatially smoothed moments based on spline functions, which are robust to outliers and readily customizable. We use these methods to estimate the corn yield distributions of Iowa counties and to predict the premiums of crop insurance programs. Monte Carlo simulations and an empirical application demonstrate the good performance and usefulness of the proposed methods.

Keywords: Crop yield distributions; Empirical likelihood; Insurance; Kernel density estimation; Spatial smoothing (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.1007/s13253-021-00442-6

Access Statistics for this article

Journal of Agricultural, Biological and Environmental Statistics is currently edited by Stephen Buckland

More articles in Journal of Agricultural, Biological and Environmental Statistics from Springer, The International Biometric Society, American Statistical Association
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2022-05-12
Handle: RePEc:spr:jagbes:v:26:y:2021:i:3:d:10.1007_s13253-021-00442-6