[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Jose de Sousa <jose.de-sousa@univ-paris1.fr> |

To |
statalist@hsphsun2.harvard.edu, Shehzad Ali <sia500@york.ac.uk> |

Subject |
Re: st: interpretation of interaction terms |

Date |
Tue, 16 Dec 2008 10:59:31 +0100 |

Dear Shehzad, > Thanks, Rene and Dave. Semi-elasticity explanation makes good sense. > Please feel free to share any references if you get a chance. A simple reference is Woolridge, Introductory Econometrics. * Chapter 2, p.45, Table 2.3. for a nice discussion of elasticity and semi-elasticity differences. * Chapter 7 for a discussion on "Interpreting Coefficients on Dummy Explanatory Variables When the Dependent Variable Is log(y)" Best, Jose > On Dec 15 2008, RenÃ© Geppert wrote: > >> In an all linear specification, regression coefficients are usually >> interpreted as marginal effects. >> Accordingly, in a log-log-specification, regression coefficients >> can be thought of elasticities. >> And for a lin-log-model, hence, the coefficient represent something >> like semi-elasticities. >> >> -RenÃ© >> >> David Airey schrieb: >>> Yes, but I think the basic understanding or interpretation of >>> regression coefficients for continuous or binary variables is not >>> altered when a variable has been log transformed. It is true that >>> interactions can be present or absent depending on whether or not >>> a variable has been transformed, because interactions are scale >>> dependent. >>> >>> -Dave >>> >>> On Dec 14, 2008, at 7:31 PM, Shehzad Ali wrote: >>> >>>> Hi, >>>> >>>> Could someone please help me interpret the following: >>>> >>>> 1. Coefficient on an interaction term for a dummy and >>>> log-transformed variable in an OLS model when the dependent >>>> variable is in natural units or is also log-transformed >>>> >>>> 2. Coefficient on an interaction term for an untransformed >>>> continuous and log-transformed variable in an OLS model when the >>>> dependent variable is in natural units or is also log-transformed >>>> >>>> 3. Coefficient on an interaction term between a dummy and >>>> log-transformed variable in a probit regression >>>> >>>> Thank you, >>>> >>>> Shehzad >>>> * >>>> * 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/ >>> >>> * >>> * 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/ >> >> * >> * 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/ >> > > > > * > * 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/ > > -- > Ce message a ete verifie par MailScanner > pour des virus ou des polluriels et rien de > suspect n'a ete trouve. -- -- Ce message a ete verifie par MailScanner pour des virus ou des polluriels et rien de suspect n'a ete trouve. * * 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/

- Prev by Date:
**RE: st: Graphing Quadratic Interactions** - Next by Date:
**Re: st: Graphing Quadratic Interactions** - Previous by thread:
**Re: st: interpretation of interaction terms** - Next by thread:
**st: ttest, signrank, ranksum with for each?** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |