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From |
Kit Baum <baum@bc.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Re: comparison of OLS and fixed-effect regression coefficients |

Date |
Sat, 2 Feb 2008 06:27:02 -0500 |

But if the test that Martin mentions rejects its null, you have biased and inconsistent coefficients in the OLS regression.

What you can do to jointly test _both_ coefficients for differences is

webuse grunfeld

reg invest mvalue kstock

est store ols

xtreg invest mvalue kstock, fe

est store fe

hausman fe ols, sigmaless

The Hausman test in this context considers a consistent estimator (fe) vs a counterpart which would be efficient if the constraints that dummies were excluded from the fe model were appropriate. A strong rejection is based on the differences in the point and interval estimates.

Kit

Kit Baum, Boston College Economics and DIW Berlin

http://ideas.repec.org/e/pba1.html

An Introduction to Modern Econometrics Using Stata:

http://www.stata-press.com/books/imeus.html

On Feb 2, 2008, at 2:33 AM, Wencke wrote:

This is not what I was looking for. I would like to compare the

coefficients of 2 specific dependent variables and not the whole

regression model.

Let's assume the following model that I estimate twice, one OLS and one FE:

y = b1x1 + b2x2 + ... + bnxn

Then, I would like to test both b1 coefficients of x1 if they are

significant different from each other.

Hypothesis: b1(OLS) ~= b1(FE).

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