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Conditional density estimation: an application to the Ecuadorian manufacturing sector

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Author Info
Kim Huynh () (Indiana University)
David Jacho-Chavez () (Indiana University)

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Abstract

This note applies conditional density estimation as a visual method to present results. The proposed method is illustrated by application to a firm-level manufacturing data set from Ecuador in 2002.

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File URL: http://economicsbulletin.vanderbilt.edu/2007/volume3/EB-07C10008A.pdf
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Publisher Info
Article provided by Economics Bulletin in its journal Economics Bulletin.

Volume (Year): 3 (2007)
Issue (Month): 62 ()
Pages: 1-6
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ebl:ecbull:v:3:y:2007:i:62:p:1-6

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Postal: Economics Bulletin, Department of Economics, 414 Calhoun Hall, Vanderbilt University, Nashville TN 37235, USA
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Related research
Keywords: Density Estimation; Kernel Smoothers; Production.;

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
O1 - Economic Development, Technological Change, and Growth - - Economic Development

References listed on IDEAS
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  1. Bashtannyk, David M. & Hyndman, Rob J., 2001. "Bandwidth selection for kernel conditional density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 36(3), pages 279-298, May. [Downloadable!] (restricted)
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  2. Jan G. De Gooijer & Dawit Zerom, 2003. "On Conditional Density Estimation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(2), pages 159-176. [Downloadable!] (restricted)
    Other versions:
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This page was last updated on 2009-12-12.

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