In Stat 9.2, how can I use the values of v2 (str 40, say) to label v1
(int)? My data looks something like this:
V1 V2
1234 somerandomstring1
1234 somerandomstring1
2345 somerandomstring2
....
6578 somerandomstringn
....
etc.
I tried to encode v2 and then attach the resulting label to v1. I
encoded v2 all right, but then got stumped by how correctly to link the
labels to the values of v1. Encoding v2 gave me labels numbered 1 to
xxx, but v1 is a four digit number (although it does take exactly xxx
distinct values).
Many thanks!
Rajib Doogar,
Department of Accountancy,
The University of Illinois at Urbana-Champaign
1206 S. Sixth Street, Champaign, IL 61820
Ph: 217.244.8083, Fax: 217.244.0902
http://www.cba.uiuc.edu/doogar
-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox
Sent: Tuesday, May 30, 2006 9:54 AM
To: statalist@hsphsun2.harvard.edu
Subject: RE: st: Calculating Percent Change In Regression Coeffecients
On a different note, why this interest in percent change in coefficient
as a metric?
I make three elementary comments.
1. The behaviour of ratios can be complicated already. This measure is a
ratio calculated from ratios.
2. Specifically, is the behaviour as the denominator goes from small
positive through zero to small negative regarded as a feature?
3. There is a lack of symmetry in the calculation.
I can imagine a practical argument that (1) and
(2) do not matter for the application, and (3) might be irrelevant given
a time order, but I wouldn't put much weight on this measure.
Nick
n.j.cox@durham.ac.uk
Tim Wade
> Hi Raphael, I don't know how to do this in Mata, but here is a brute
> force solution using macros and for loops:
>
>
> . regress price headroom rep78 gear_ratio
>
> Source | SS df MS Number
> of obs = 69
> -------------+------------------------------ F( 3,
> 65) = 4.68
> Model | 102521828 3 34173942.7 Prob >
> F = 0.0051
> Residual | 474275131 65 7296540.47
> R-squared = 0.1777
> -------------+------------------------------ Adj
> R-squared = 0.1398
> Total | 576796959 68 8482308.22 Root
> MSE = 2701.2
>
> --------------------------------------------------------------
> ----------------
> price | Coef. Std. Err. t P>|t|
> [95% Conf. Interval]
> -------------+------------------------------------------------
> ----------------
> headroom | -136.9778 414.9107 -0.33 0.742
> -965.6117 691.6561
> rep78 | 576.2363 362.8717 1.59 0.117
> -148.4686 1300.941
> gear_ratio | -2995.126 829.7523 -3.61 0.001
> -4652.256 -1337.996
> _cons | 13577.64 3025.567 4.49 0.000
> 7535.166 19620.12
> --------------------------------------------------------------
> ----------------
>
> /*only include coefficients you want to compare*/
>
> . foreach var of varlist headroom rep78 {
> 2. local `var'1=_b[`var']
> 3. }
>
> . regress price headroom rep78
>
> Source | SS df MS Number
> of obs = 69
> -------------+------------------------------ F( 2,
> 66) = 0.43
> Model | 7450346.06 2 3725173.03 Prob >
> F = 0.6511
> Residual | 569346613 66 8626463.83
> R-squared = 0.0129
> -------------+------------------------------ Adj
> R-squared = -0.0170
> Total | 576796959 68 8482308.22 Root
> MSE = 2937.1
>
> --------------------------------------------------------------
> ----------------
> price | Coef. Std. Err. t P>|t|
> [95% Conf. Interval]
> -------------+------------------------------------------------
> ----------------
> headroom | 391.6261 422.1074 0.93 0.357
> -451.1385 1234.391
> rep78 | 69.23416 363.8024 0.19 0.850
> -657.1208 795.5892
> _cons | 4735.368 1930.863 2.45 0.017
> 880.276 8590.459
> --------------------------------------------------------------
> ----------------
>
> . foreach var of varlist headroom rep78 {
> 2. local `var'2=_b[`var']
> 3. }
>
> . foreach var of varlist headroom rep78 {
> 2. di as result "percent change for
> `var'="((``var'2'-``var'1')/``var'1')*100
> 3. }
> percent change for headroom=-385.90483 percent change for
> rep78=-87.985109
Raphael Fraser
>> I would like to calculate the percentage change in the regression
>> coeffecients of model 1 and model 2. Can any one help? I tried using
>> Mata but I did not know how to divide each element in a matrix with
>> different scalars.
>>
>> sysuse auto, clear
>> stset mpg, failure(foreign)
>> stcox mpg price weight rep78, nohr nolog /*Model 1*/ stcox mpg
>> weight rep78, nohr nolog /*Model 2*/
>>
>> For example % change = (rep78_m2 - rep78_m1) / rep78_m1
*
* 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/