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From |
David Greenberg <dg4@nyu.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Ask Non linear equation |

Date |
Thu, 14 Feb 2008 20:28:27 -0500 |

The logarithm of a product is the sum of the logs of the individual factors. So you can rewrite this equation as log(Y) = alpha1 {log(X) + log[exp(alpha2*Z)]. In the second term, the log of the exponential is just alpha2*Z. So you can write this as log(Y) = alpha1 log(X) + alpha1*alpha2*Z. Define Y' = log(Y), X' = log(X), and you can estimate this as a linear equation. You can then recover alpha2 by dividing the estimated coefficient of Z by the estimated coefficient of X'. Or you can impose a constraint on the coefficients before doing the estimation. - David Greenberg, Sociology Department, New York University. ----- Original Message ----- From: adiwan fahlan <adiwan_f@yahoo.com> Date: Thursday, February 14, 2008 8:20 pm Subject: st: Ask Non linear equation To: statalist@hsphsun2.harvard.edu > Dear al > > my research in new economic geographic has demand an > advance > calculation. I want to ask about how to do this wage > equation : > > log (Y) = alpha1*log(X*exp(alpha2*Z)) > > Y is the dependent variable / wage > X and Z is the independent variable > and I have to find the coofiecient of alpha1 and > alpha2 > > According to the text book, its a nonlinear equation. > How can I program this equation in the non linear > programming? how to do that? or can I use nl command > that are already stored in STATA? > > I do really hope your help > > Thank you > > Regards > Adiwan > > > > > > ____________________________________________________________________________________ > Looking for last minute shopping deals? > Find them fast with Yahoo! Search. http://tools.search.yahoo.com/newsearch/category.php?category=shopping > * > * 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/ * * 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: Ask Non linear equation***From:*"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>

**References**:**st: _regress (stata9)***From:*"R.E. De Hoyos" <redeho@hotmail.com>

**st: Ask Non linear equation***From:*adiwan fahlan <adiwan_f@yahoo.com>

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