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KERNEL: Stata module to compute various kernels

Author

Listed:
  • Florian Chavez Juarez

    (University of Geneva)

Programming Language

Stata

Abstract

kernel computes several kernel functions. The following kernel functions are included: epanechnikov, normal/gaussian, triangle, beta, logit, uniform, cosine, parzn. The module exports the estimated function as a new variable, which can then be used for various non-parametric estimation procedures.

Suggested Citation

  • Florian Chavez Juarez, 2014. "KERNEL: Stata module to compute various kernels," Statistical Software Components S457869, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457869
    Note: This module should be installed from within Stata by typing "ssc install kernel". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/k/kernel.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/k/kernel.hlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Vincenzo Verardi & Ben Jann, 2021. "A robust regression estimator for pairwise-difference transformed data: xtrobreg," London Stata Conference 2021 17, Stata Users Group.

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