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PSPLINE: Stata module providing a penalized spline scatterplot smoother based on linear mixed model technology

Author

Listed:
  • Ben Jann

    (University of Bern)

  • Roberto G. Gutierrez

    (StataCorp)

Programming Language

Stata

Abstract

pspline uses xtmixed to fit a penalized spline regression and plots the smoothed function. Additional covariates can be specified to adjust the smooth and plot partial residuals.

Suggested Citation

  • Ben Jann & Roberto G. Gutierrez, 2008. "PSPLINE: Stata module providing a penalized spline scatterplot smoother based on linear mixed model technology," Statistical Software Components S456972, Boston College Department of Economics, revised 25 Jan 2009.
    • Handle: RePEc:boc:bocode:s456972
    Note: This module should be installed from within Stata by typing "ssc install pspline". 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/p/pspline.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/pspline.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/pspline.zip
    File Function: zip file of package
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/l/lidar.dta
    File Function: sample data file
    Download Restriction: no
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Method of the month: Semiparametric models with penalised splines
      by Sam Watson in The Academic Health Economists' Blog on 2017-12-19 13:00:05

    Citations

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    Cited by:

    1. BIA Michela & FLORES Carlos A. & MATTEI Alessandra, 2011. "Nonparametric Estimators of Dose-Response Functions," LISER Working Paper Series 2011-40, Luxembourg Institute of Socio-Economic Research (LISER).

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