• Media type: E-Article
  • Title: Plug-in bandwidth selection for kernel density estimation with discrete data
  • Contributor: Chu, Chi-Yang [Author]; Henderson, Daniel J. [Author]; Parmeter, Christopher F. [Author]
  • imprint: Basel: MDPI, 2015
  • Language: English
  • DOI: https://doi.org/10.3390/econometrics3020199
  • ISSN: 2225-1146
  • Keywords: bandwidth selection ; plug-in ; C14 ; nonparametric ; discrete variable ; kernel
  • Origination:
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  • Description: This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in non-uniform designs. We further find that plug-in bandwidths are relatively small. Several empirical examples show that the plug-in bandwidths are typically similar in magnitude to their cross-validated counterparts.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)