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: cascading dummies
From
Richard Goldstein <[email protected]>
To
[email protected]
Subject
Re: st: cascading dummies
Date
Mon, 01 Oct 2012 15:14:30 -0400
it is in the help file
On 10/1/12 2:59 PM, Shikha Sinha wrote:
> Thanks Richard!
>
> very helpful. What is the full reference of STB article, I am unable to find it.
>
> Thanks,
> Shikha
>
> On Mon, Oct 1, 2012 at 11:39 AM, Richard Goldstein
> <[email protected]> wrote:
>> Hi,
>>
>> neither is wrong or right -- they answer slightly different questions; A
>> asks for each dummy whether, and by how, much it is different from the
>> reference group (you do realize that you should only include 4 of the
>> dummies, right?); B asks whether each differs from the preceding level
>>
>> you can -findit cascade- to find a program I wrote to implement
>> cascading dummies; the help file, and even more the STB article,
>> discusses the differences; note that you can obtain the answer to either
>> question by following up the original method of forming the variables
>> with the appropriate -test- command(s)
>>
>> Rich
>>
>> On 10/1/12 2:31 PM, Shikha Sinha wrote:
>>> Hi all,
>>>
>>> Recently, I came across a new way of creating dummies and I wonder
>>> what the group thinks about this form.
>>>
>>> The independent variable X is coded as 1- very poor, and 5 as very
>>> rich. I want to estimate the effect by wealth quintile. I created the
>>> dummy the following ways, but I was told that this is wrong (A is
>>> wrong). The correct way to construct dummy is B and is called
>>> cascading dummies. I have never come across this before and would
>>> appreciate if you could shed light on the difference between the two
>>> and which is the correct way of creating dummies.
>>>
>>> A:
>>> id Y X1 (scale of 1-5), dum1 dum2 dum3 dum4 dum5
>>> 1 100 5 0 0 0 0 1
>>> 2 200 4 0 0 0 1 0
>>> 3 300 3 0 0 1 0 0
>>> 4 239 2 0 1 0 0 0
>>> 5 345 1 1 0 0 0 0
>>>
>>>
>>> B:
>>> id Y X1 (scale of 1-5), dum1 dum2 dum3 dum4 dum5
>>> 1 100 5 1 1 1 1 1
>>> 2 200 4 1 1 1 1 0
>>> 3 300 3 1 1 1 0 0
>>> 4 239 2 1 1 0 0 0
>>> 5 345 1 1 0 0 0 0
>>>
>>> Thanks,
>>> Shikha
*
* 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/