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From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: mfx - conditional and unconditional elasticities |

Date |
Thu, 20 Dec 2007 10:40:54 -0500 |

Even Bergseng <even.bergseng@umb.no>: I think not. Predicting at some X=x is a way of characterizing/interpreting the model's estimated coefficients; selecting on the explanatory variables X in creating a subsample to predict over (or to compute means of X at which to predict) is unproblematic, and relatively easy to interpret for a simple selection rule, e.g. X=(female, college). Selecting on y seems like a bad idea for all kinds of reasons. On Dec 20, 2007 10:31 AM, Even Bergseng <even.bergseng@umb.no> wrote: > I want to use -mfx- to compute elasiticities after -tobit/xttobit-. My interpretation is that the commands > > . mfx compute, eyex predict(ystar(0,.)) > . mfx compute, eyex predict(e(0,.)) > > should produce respectively unconditional (all observations) and conditional (non-limit observations) elasticities. Am I correct? > > If so: Both elasticities are interpreted at the mean of all observations. Would it be logical to use mean values for the non-limit sample to produce the conditional elasticities? (i.e. add the option at(avg) to mfx where avg is means for the non-limit sample). > * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: mfx - conditional and unconditional elasticities***From:*Even Bergseng <even.bergseng@umb.no>

**References**:**st: Basic question on interpreting Durbin alternative test for autocorrelation***From:*"Josiane Georges" <jgeorges@health.nyc.gov>

**Re: st: Basic question on interpreting Durbin alternative testfor autocorrelation***From:*Robert A Yaffee <bob.yaffee@nyu.edu>

**RE: st: Basic question on interpreting Durbin alternative testfor autocorrelation***From:*"Josiane Georges" <jgeorges@health.nyc.gov>

**st: mfx - conditional and unconditional elasticities***From:*Even Bergseng <even.bergseng@umb.no>

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