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

From |
ACavallo@lexecon.com |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Fixed effects decomposition (was xthtaylor) |

Date |
Tue, 10 Feb 2004 14:35:28 -0600 |

Mario, Thanks for your tips - I forgot that these characteristics can be estimated using a random effects model. My question about the decomposition still stands though, how do I estimate g in the model below when using fixed effects. y(it)=b*x(it) + g*z(i) + a(i) + e(it) where x(it) are time varying characteristics, z(i) are time invariant characteristics, and a(i) are the fixed effects. My proposal is to estimate fixed effects model, predict a(i), then regress a(i) on z. I would bootstrap to get the standard errors right on the auxilliary regression xtreg y x, fe predict a, u by id : keep if _n==1 regress a z I looked in Greene's "Econometric Analysis" and Baltagi's "Econometric Analysis of Panel Data" but did not see any explanation. Does anyone have references or comments on my proposal? Regards, --Alex Cavallo Lexecon (312) 322-0208 voice (312) 322-0218 fax >Can I use XTHTAYLOR assuming no variables are correlated with a(i)? In >other words, is the endog(varlist_endog) option required? I don't yet have >Stata 8 so I can't just try this. The online help for -xthtaylor- states that the endog() option is required, http://www.stata.com/help.cgi?xthtaylor However, the Hausman-Taylor estimator of a model where every variable in X and Z is assumed to be uncorrelated with the random effect [a(i), or u(i) in stata's notation] is simply a random-effects model (-xtreg, re- y on X and Z varlists). I don't have the paper here, but I think this is stated in Hausman and Taylor (1981) econometrica paper. >If not, does anyone have a reaction to this proposed method: > 1. estimate y(it)=b*x(it) + a(i) + e(it) > 2. regress ahat(i) on z(i) to estimate ghat, using bootstrap to get >standard errors right Don't trust me much in this, but I think that depending on the procedures used in steps (1) and (2) (and possibly on the (un)balanced nature of your panel data set) you could get a "ghat" estimator that would be consistent but not efficient. If all variables in X and Z are really exogenous, -xtreg, fe- is both consistent and efficient. Hope this helps, Mario F. Rueda Narváez Departamento de Estadística y Econometría Facultad de Ciencias Económicas Universidad de Málaga El Ejido s/n 29013 Málaga (España) <http://www.estyeco.uma.es/>http://www.estyeco.uma.es/ Tlf: +34 952 13 71 90 Fax: +34 952 13 72 62 * * 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: Fixed effects decomposition (was xthtaylor)***From:*Mario F Rueda Narváez <mfrueda@uma.es>

- Prev by Date:
**Re: st: time series regression help** - Next by Date:
**st: New -sencode- and -sdecode- packages on SSC** - Previous by thread:
**Re: st: time series regression help** - Next by thread:
**Re: st: Fixed effects decomposition (was xthtaylor)** - Index(es):

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