Bookmark and Share

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   Yuval Arbel <[email protected]>
To   [email protected]
Subject   Re: st: reshaping data?
Date   Thu, 25 Oct 2012 16:24:52 +0200

Here is a link to an excellent book in consumer's behavior theory:

http://www.amazon.com/Economics-Consumer-Behavior-Angus-Deaton/dp/0521296765


On Thu, Oct 25, 2012 at 4:19 PM, Yuval Arbel <[email protected]> wrote:
> Before going any further, please note that the model you proposed is
> incorrectly specified. Any decent Econometric textbook will
> demonstrate the endogeneity between P1 and Q1. Moreover, if you would
> like to estimate the demand for each product - you need to have some
> measure to the level of income of each consumer
>
> On Thu, Oct 25, 2012 at 4:08 PM,  <[email protected]> wrote:
>> Dear all,
>> I would be grateful if you could help me to address the following problem:
>> 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?
>> Thank you in advance
>> Maria
>>
>>
>> ----------------------------------------------------------------
>> 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/
>
>
>
> --
> Dr. Yuval Arbel
> School of Business
> Carmel Academic Center
> 4 Shaar Palmer Street,
> Haifa 33031, Israel
> e-mail1: [email protected]
> e-mail2: [email protected]



-- 
Dr. Yuval Arbel
School of Business
Carmel Academic Center
4 Shaar Palmer Street,
Haifa 33031, Israel
e-mail1: [email protected]
e-mail2: [email protected]

*
*   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/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index