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From |
"FEIVESON, ALAN H. (AL) (JSC-SK) (NASA)" <alan.h.feiveson@nasa.gov> |

To |
"'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: RE: Simulation question (now: equation solving problem) |

Date |
Thu, 3 Feb 2005 16:08:02 -0600 |

Amadou - How about: gen d=2 reg d X Y Z, nocons Obviously, you can't solve the equation exactly - you will get a least-squares solution. Al F. -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of adiallo5@worldbank.org Sent: Thursday, February 03, 2005 1:53 PM To: statalist@hsphsun2.harvard.edu Subject: RE: st: RE: Simulation question (now: equation solving problem) Dear all, Your're right. It's a matter of convention. I've been thought in school of "independent" and "dependent" variables. As long as I know what is what, it is not a big issue to me. Coming back to my initial problem, I think I want to solve something like: aX + bY + cZ = d where a, b, c are coefficients issues from the regression (my "betas" if I can say so) and X, Y, Z are vectors of observations (in my case POP and INVEST). d is equal to 2, if I stick to my previous problem of doubling my GDP. Is there a way to solve such an equation in stata? Best regards. Amadou. "FEIVESON, ALAN H. (AL) (JSC-SK) (NASA)" To: "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> <alan.h.feiveson@nasa.gov cc: > Subject: RE: st: RE: Simulation question Sent by: owner-statalist@hsphsun2. harvard.edu 02/03/2005 01:44 PM Please respond to statalist One convention that I like, is that if a variable is set by design in a prospective study, it is "independent". If a variable is observed and is the measure upon which one desires to do statistical inference, it is a "dependent variable". If is observed or measured in conjuntion with the dependent variable, but is not a "dependent" variable it is a "covariate". Al Feiveson -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of David Kantor Sent: Thursday, February 03, 2005 11:05 AM To: statalist@hsphsun2.harvard.edu Subject: RE: st: RE: Simulation question I, too, like terminology such as response/predictor/covariate. But we usually use "outcome" in place of "response". Then we often analyze family economic data, and we find ourselves in the paradoxical situation where our outcome is income. -- David At 08:46 AM 2/3/2005 -0800, John Wallace wrote: >I too prefer the response/predictor/covariate terminology. Sometimes >someone will ask if "response" means "independent" - that's as much >conflict as I've ever encountered over it. I like terms that sort of >have their definitions built into them. >[...] David Kantor Institute for Policy Studies Johns Hopkins University dkantor@jhu.edu 410-516-5404 * * 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/ * * 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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