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st: Re: re: Analyzing time series data on prices by districts & markets


From   Partho Sarkar <partho.ss@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Re: re: Analyzing time series data on prices by districts & markets
Date   Mon, 13 Jun 2011 20:12:45 +0530

My apologies- the answer would be as follows (I changed the example to
make it more representative!):

date	#mkts	#dist	#states
1	4	          4	2
2	2	          2	2

Thank you all
P. Sarkar



On Mon, Jun 13, 2011 at 8:00 PM, Partho Sarkar <partho.ss@gmail.com> wrote:
> Dear Dr, Cox,
>
> Many thanks for the prompt reply.  I am replying to you directly
> partly because I am not sure how to post a follow-up (please excuse me
> if this is inappropriate)
>
> The data looks like this:
>
> date    state   mkt     dist    price
> 1       Asm     Ca      ach     1700
> 1       Asm     Ka      ari     1450
> 1       Jha     Du      umk     1185
> 1       Jha     Pa      aka     2400
> 2       Asm     Ka      ari     1750
> 2       Ker     Ch      hir     2000
> 2       Ker     Ch      hir     2400
>
> And the first step of the answers for this example would be
>
> #mkts= 5        #dist=6 #states=3
>
>
> Best regards,
>
> Partha S. Sarkar
> Consultant Econometrician
> Indicus Analytics Pvt. Ltd (www.indicus.net)
> New Delhi, India
>
> You wrote:
>
> From      Nick Cox <n.j.cox@durham.ac.uk>
> To        "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
> Subject           st: RE: Analyzing time series data on prices by districts & markets
> Date      Mon, 13 Jun 2011 14:27:55 +0100
>
> The list's guidelines preclude attachments but certainly do not
> preclude ASCII text within a posting showing part of your data.
>
> Nick
> n.j.cox@durham.ac.uk
>
> In reply to my question:
>
>
>
>
>
> On Mon, Jun 13, 2011 at 6:21 PM, Partho Sarkar <partho.ss@gmail.com> wrote:
>> Hello all,
>>
>> I am quite new to Stata (and this list), and trying hard to quickly
>> pick up the skills while on the job.  Would really appreciate some
>> help with this task, and please excuse if this seems too elementary!
>>
>> Problem:
>>
>> I have a large dataset which gives prices of a commodity at each date
>> for different markets across the country.  The markets are classified
>> by State, District & Market (names).  (The commodity is only traded in
>> some markets, in some districts, and some states).   I need to get an
>> idea of the periods/dates for which the data are “sparse”, i.e., there
>> are too few of the Markets reporting a price.
>>
>> So I need,
>>
>> 1.      For each date, the total number of markets (over all states and
>> districts) for which a price is reported, and
>> 2.      The maximum number of markets for which a price is reported for any
>> date in the dataset
>>
>> In addition, to do a geographical analysis, I would like to record,
>> for each date
>>
>> 1.      The number of reporting markets in each district versus the total
>> no. of markets in that district,
>> 2.      The number of districts in each state for which prices are
>> reported, versus the total no. of districts in that state
>> 3.      Similarly, the number of states for which prices are reported,
>> versus the total no. of state s where a price is ever reported
>>
>> I hope this is clear, as I think the List rules prevent me from
>> including a preview/sample of my data.
>>
>> Thank you
>>
>> P. Sarkar
>> Consultant Econometrician
>> India
>>
>

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