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From |
Maarten buis <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Weighted Least Squares |

Date |
Tue, 15 Apr 2008 17:53:48 +0100 (BST) |

Sorry, but I still do not understand your question. It may help if you tell a bit more about your project, for instance: what are your levels? what is the purpose of your analysis? -- Maarten --- Tam Phan <[email protected]> wrote: > Maarten, X1 = % and X2= %, however, X1 +X2 does not necessary have to > add up to 100% (as a matter of fact they dont). > > The % are calculated based on the zone, they are not calcualted > across > zone (say zone 1 and zone 2). > > Basically the explanatory variables are at a zone level, however, the > regression is taking place at a higher level. In order to "adjust" > the zone explanatory varaibles, these are weighted to the higher > level. > > Tam > > On 4/15/08, Maarten buis <[email protected]> wrote: > > I read your question as follows: > > - you have two (or more) variables: x1 = % in zone1, and x2 = % in > > zone 2, which must add up to 100% > > - x1 and x2 are explanatory variables > > - you want these variables to have only one effect instead two (or > > more) because you see them as one variable. > > > > Is that correct? > > > > -- Maarten > > > > > > --- Tam Phan <[email protected]> wrote: > > > > > Hello Stata Users: > > > > > > I have a quick question on weighted Least squares: Below is the > > > following econometric equation: > > > > > > Q1+Q2 = alpha + [ (Q1/(Q1+Q2))*X1 + (Q2/(Q1+Q2))*X2 ]b + e > > > > > > Where X1 and X2 are the same explanatory variables, however with > > > different numerical values. For example, X1 would be the % in > one > > > zone, and X2 is the percent in another zone. > > > > > > Is there anything wrong w/ this logic? > > > > > > How about this econometric model: > > > > > > y1=alpha1+beta1(P)+e > > > y2= alpha2 +beta2(P)+v > > > > > > To obtain the aggregate effect one would sum: > > > > > > y1+y2=(alpha1+alpha2) +(beta1+beta2)P+(e+v) > > > > > > Is there anything wrong with the above logic? > > > > > > Tam > > > > > > Tam > > > * > > > * 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/ > > > > > > > > > ----------------------------------------- > > Maarten L. Buis > > Department of Social Research Methodology > > Vrije Universiteit Amsterdam > > Boelelaan 1081 > > 1081 HV Amsterdam > > The Netherlands > > > > visiting address: > > Buitenveldertselaan 3 (Metropolitan), room Z434 > > > > +31 20 5986715 > > > > http://home.fsw.vu.nl/m.buis/ > > ----------------------------------------- > > > > > > ___________________________________________________________ > > Yahoo! For Good helps you make a difference > > > > http://uk.promotions.yahoo.com/forgood/ > > * > > * 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/ > ----------------------------------------- Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands visiting address: Buitenveldertselaan 3 (Metropolitan), room Z434 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- ___________________________________________________________ Yahoo! For Good helps you make a difference http://uk.promotions.yahoo.com/forgood/ * * 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: Weighted Least Squares***From:*"Tam Phan" <[email protected]>

**References**:**Re: st: Weighted Least Squares***From:*"Tam Phan" <[email protected]>

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