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Re: st: how to use inverse hyperbolic sine function |

Date |
Wed, 30 Mar 2005 19:58:18 -0500 (EST) |

Thanks a lot, Scott. Just two follow-up questions. 1) If my dependent variable is net worth (say the var name is "wealth"), do I simply use log(wealth+sqrt(wealth^wealth+1)) as the dependent variable in regression? 2) How to interpret the coefficients for control variables (eg. gender, edu, logged wages)? Same as the log transformation? Ying > An inverse hyperbolic sine transformation is: > IHS = log(z + sqrt(z^z + 1)) > > It is an alternative to log transformations when some of > the variables take on zero or negative values and as > an alternative to the Box-Cox when variables are zero or > negative. > > > See, for example: > > Layton, David F, 2001. "Alternative Approaches for Modeling > Concave Willingness to Pay Functions in Conjoint Valuation," > American Journalof Agricultural Economics, vol. 83(5), 1314-20. > > Burbidge, John B., Lonnie Magee and A. Leslie Robb. 1988 "Alternative > Transformations to Handle Extreme Values of the Dependent Variable." > Journal of the American Statistical Association, vol. 83, 123-127. > > > > Scott > > > ----- Original Message ----- > From: [email protected] > Date: Wednesday, March 30, 2005 1:40 pm > Subject: st: how to use inverse hyperbolic sine function > >> Dear users, >> >> I need to use inverse hyperbolic sine function to transform my >> dependentvariables in a regression, which, honestly, I don't >> understand very much. >> I failed to find the relevant commands to perform this technique >> in Stata >> 7.0. Does anybody have a relevant program which I can use as a >> reference,and have suggestions about interpreting the coefficient >> for varaibles like >> gender? Thanks a lot. >> >> >> >> Ying > > > * > * 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/

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