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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering |

Date |
Thu, 3 Dec 2009 12:24:13 -0000 |

If that's the problem then 1. If theoretical prediction means "numbers" then plotting data y and prediction y-hat versus predictor x is good but plotting data versus prediction and residuals versus prediction are likely to be more incisive. 2. If theoretical prediction means "an equation with parameters" then fitting it directly is indicated. Nick n.j.cox@durham.ac.uk L S The goal in doing this is actually not a regression discontinuity design, but rather to see whether actual data seems to fall along a line, which is predicted by theory. That is, I want to plot actual data against a theoretical prediction, plotting the actual data using a flexible functional form, and plotting a 95% confidence intervals. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: convert decimal number in binary format***From:*Jean-Benoit Hardouin <jean-benoit.hardouin@univ-nantes.fr>

**RE: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**References**:**Re: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*Austin Nichols <austinnichols@gmail.com>

**Re: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*L S <lts40301@gmail.com>

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