Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: reshaping data?
From
[email protected]
To
[email protected]
Subject
Re: st: reshaping data?
Date
Sat, 27 Oct 2012 18:50:34 +0200
dear Nick,
P_1 and P_2 are the prices of two substitute goods,
in the example each of the three items (belonging to the family) has
two substitutes: the other two goods belonging to the family
best
Maria
Quoting Nick Cox <[email protected]>:
I am getting closer, but it seems to me that there is still some
arbitrariness here.
If I am 789 then the others are 790 and 791 and should be P_1 P_2. But
which should be which? I can't see a rationale here.
Nick
On Fri, Oct 26, 2012 at 2:35 PM, <[email protected]> wrote:
dear Nick,
each item is observed each week (for two years, so I have 106 observations
for each supermarket in my sample), and belongs to a family. The families
include from one up to 16 items (the number of items is not fixed for each
fam). What follows is an example of a family made up of three items
Code_item week Q P Code_family
789 1 8 2 1
790 1 25 4 1
791 1 9 1.3 1
789 2 12 2 1
790 2 2 3 1
791 2 20 1.2 1
and so forth for 106 times (each supermarket)
I'd like to regress Q on P (and other ctrl vbls, that I omit for brevity)
and the prices of the other two items (substitute goods), in other words to
have a dataset like follows:
Code_item week Q P Code_family P_1 P_2
789 1 8 2 1 4 1.3
790 1 25 4 1 2 1.3
791 1 9 1.3 1 2 4
789 2 12 2 1 3 1.2
790 2 2 3 1 2 1.2
791 2 20 1.2 1 2 3
thanks for your patience...
Quoting Nick Cox <[email protected]>:
Sorry, but this seems to imply as many predictors as observations,
which isn't a good idea.
Presumably you don't mean that, so you have tell us more about your
data structure for this to be clear to me.
Nick
On Fri, Oct 26, 2012 at 12:31 PM, <[email protected]> wrote:
dear Nick,
I'd like to estimate separate regressions, one for each family, hence the
number of predictors would be the same for each family
hope this clarifies
best
M.
Quoting Nick Cox <[email protected]>:
In that case I really don't understand what you are seeking. See also
Yuval's comments.
I've never come across a model in which there are a different number
of predictors for different observations, although I am always happy
to be educated.
It seems to me that
1. Either you are applying a standard model, in which case you can
give literature references.
2. Or this is a new model, in which case you need to explain how it
would be set-up and estimated.
Note that it's easy to get variables such as the mean of the other
prices in the same family. See
FAQ . . Creating variables recording prop. of the other members of a
group
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N.
J.
Cox
4/05 How do I create variables summarizing for each
individual properties of the other members of a
group?
http://www.stata.com/support/faqs/data/members.html
On Thu, Oct 25, 2012 at 3:39 PM, <[email protected]> wrote:
dear Nick,
thanks for your prompt reply. Unfortunately, the number of items is not
fixed
best regards
Maria
Quoting Nick Cox <[email protected]>:
This model formulation makes me feel a bit queasy, but I think what
you want is something like this.
Suppose for concreteness the number of items is fixed at 8. (I don't
see how this will work if the number is not fixed.) So, "for any value
of 8"
sort code_family code_item
forval i = 1/8 {
by code_family : gen P`i' = P[`i']
}
Note that, contrary to your title, there is no -reshape- here as you
want your observations to remain observations; at least that's my
understanding.
Nick
On Thu, Oct 25, 2012 at 3:08 PM, <[email protected]> wrote:
I have to estimate the equation
Q1=a+b1P1+b2P2+...bnPn+e
Where Q1 is the quantity of item 1 sold by a supermarket during a
week
,
P1
is the price of item 1 in that week, the other prices are those of
the
n
items belonging to the same family of items. My data set is organized
as
follows:
Code_item week Q P Code_family
789 1 8 2 1
790 1 25 4 1
791 1 9 1.3 1
792 1 12 2 1
800 1 7 2 2
801 1 20 1.2 2
802 1 11 1.6 2
803 1 12 2 2
And so forth for the other weeks and families...
For each item, how can I include in my regression the prices of the
other
(n-1) items of the same family, ignoring the prices of the items
belonging
to other families?
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.
**** Riservatezza / Confidentiality ****
In ottemperanza al D.Lgs. n. 196 del 30/6/2003 in materia di protezione
dei
dati personali, le informazioni contenute in questo messaggio sono
strettamente riservate ed esclusivamente indirizzate al destinatario
indicato (oppure alla persona responsabile di rimetterlo al
destinatario).
Vogliate tener presente che qualsiasi uso, riproduzione o divulgazione di
questo messaggio e' vietato. Nel caso in cui aveste ricevuto questo
messaggio per errore, vogliate cortesemente avvertire il mittente e
distruggere il presente messaggio.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.
**** Riservatezza / Confidentiality ****
In ottemperanza al D.Lgs. n. 196 del 30/6/2003 in materia di protezione dei
dati personali, le informazioni contenute in questo messaggio sono
strettamente riservate ed esclusivamente indirizzate al destinatario
indicato (oppure alla persona responsabile di rimetterlo al destinatario).
Vogliate tener presente che qualsiasi uso, riproduzione o divulgazione di
questo messaggio e' vietato. Nel caso in cui aveste ricevuto questo
messaggio per errore, vogliate cortesemente avvertire il mittente e
distruggere il presente messaggio.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.
**** Riservatezza / Confidentiality ****
In ottemperanza al D.Lgs. n. 196 del 30/6/2003 in materia di protezione dei dati personali, le informazioni contenute in questo messaggio sono strettamente riservate ed esclusivamente indirizzate al destinatario indicato (oppure alla persona responsabile di rimetterlo al destinatario). Vogliate tener presente che qualsiasi uso, riproduzione o divulgazione di questo messaggio e' vietato. Nel caso in cui aveste ricevuto questo messaggio per errore, vogliate cortesemente avvertire il mittente e distruggere il presente messaggio.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/