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Conditional density estimation: an application to the Ecuadorian manufacturing sector

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  • Kim Huynh

    ()
    (Indiana University)

  • David Jacho-Chavez

    ()
    (Indiana University)

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://www.accessecon.com/pubs/EB/2007/Volume3/EB-07C10008A.pdf
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Bibliographic Info

Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 3 (2007)
Issue (Month): 62 ()
Pages: 1-6

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Handle: RePEc:ebl:ecbull:eb-07c10008

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Keywords: Density Estimation;

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  1. Bashtannyk, David M. & Hyndman, Rob J., 2001. "Bandwidth selection for kernel conditional density estimation," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 36(3), pages 279-298, May.
  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.
  3. Jianqing Fan & Qiwei Yao & Howell Tong, 1996. "Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems," LSE Research Online Documents on Economics 6704, London School of Economics and Political Science, LSE Library.
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Cited by:
  1. João Amador & Sónia Cabral & José Maria, 2010. "What can we learn from the distribution of trade patterns?," Portuguese Economic Journal, Springer, vol. 9(2), pages 77-95, August.
  2. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Carbon dioxide emissions and governance: A nonparametric analysis for the G-20," Energy Economics, Elsevier, vol. 40(C), pages 110-118.
  3. João Amador & Sónia Cabral & José Maria, 2011. "A Simple Cross-Country Index of Trade Specialization," Open Economies Review, Springer, vol. 22(3), pages 447-461, July.

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