[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
ACavallo@lexecon.com |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Re: tobit and SUR - software available to estimate it? |

Date |
Tue, 9 Dec 2003 12:30:40 -0600 |

By estimating separate equations you are not imposing the adding up constraint. Let me descrbe two applications that estimate share equations. The context is estimating shares of consupmtion across consumer products for households and price elasticities. One approach is to use the almost ideal demand system of Deaton and Muelbauer (1980). In this case, share equations are estimated simultaneously using the same set of regressors. The adding up restrictions and other restrictions implied by economic theory are imposed. The equations are estimated by maximum likelihood. See Poi (2002) in Stata Journal 2(4) for some Stata code. Another approach is the logit approach. You can model the share using the conditional logit model. In this case, shares are function of alternative specific characteristics. See Nevo (2000) "A Practitioner's Guide to Estimation of Random Coefficients Logit Models of Demand" for more on extensions of this model. Either way, you would have to write up some code to estimate the share equations correctly. Regards, --Alex Cavallo Lexecon (312) 322-0208 voice (312) 322-0218 fax On Tue, 9 Dec 2003, Mark Hanly wrote: > Hi John, > > Thank you for your reply. > > My feeling is that we cannot apply OLS in this case because we are looking > at the share of total distance a person travels on a particular day by, for > example, car. Many people not travel by car at all on a particular day so > their dependent variable will be zero, whereas many others will travel > exclusively by car on that day so their share of total distance travelled > that day that is done by car is one. (And the same will be true for the > other mode shares - transit and walking.) > > The general advice seems to be that we would have to model this using a > tobit model with 2 cluster points (at zero and one) if we model each > equation separately because OLS, it is said, will give a poor fit and could > introduce bias. > > Because the independent variables are the same for each dependent variable, > I would think that the error terms of each of the separate equations would > be related somehow. Or, at least, this should be checked for/accounted for > using some kind of SUR and the results compared with the three separate > estimations. > > However, I am open to all advice on this. > > Regards, > Mark > > At 10:21 09/12/2003 -0500, you wrote: > >Hi, > > > >If the independent variables are the same, the OLS and SURE estimators are > >equivalent. So, there is no gain in applying this estimator. > > > >John Kane > >Dept. of Economics > >SUNY-Oswego > > Mark Hanly > Research Fellow > > ESRC Transport Studies Unit > University College London > London WC1E 6BT > tel +44 (0)20 7679 1584 > fax +44 (0)20 7679 1567 > > www.cts.ucl.ac.uk > www.cts.ucl.ac.uk/seminars > * * 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: Re: tobit and SUR - software available to estimate it?***From:*"Brian P. Poi" <bpoi@stata.com>

- Prev by Date:
**st: RE: continuous to categorical and determination of monotonic categories** - Next by Date:
**st: RE: lizards: McCullagh & Nelder** - Previous by thread:
**Re: st: Re: tobit and SUR - software available to estimate it?** - Next by thread:
**Re: st: Re: tobit and SUR - software available to estimate it?** - Index(es):

© Copyright 1996–2014 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |