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Re: st: How to use tobit where the low bounds are not fixed for each observation?
From
Yuval Arbel <[email protected]>
To
[email protected]
Subject
Re: st: How to use tobit where the low bounds are not fixed for each observation?
Date
Thu, 3 Nov 2011 00:08:20 +0200
Austin, thanks for the advice which seems very helpful.
I understand from your answer that -intreg- works properly only if the
residuals are normally distributed. Am I correct?.Maybe I can check
for normality after I run the model? anyway, the sample is big and
includes 15,000 observations, but about 10,000 of them are censored.
Also the question is: does -intreg- addresses the problem of selection
bias? in addition to the fact that the winning bids are censored (in
cases nobody had bought the offered land), I suspect there is higher
probability to arrange land auctions without minimum price in the
periphery rather the core areas where land is more expensive.
I wonder what is your opinion on this matter?
On Wed, Nov 2, 2011 at 11:31 PM, Austin Nichols <[email protected]> wrote:
> Yuval Arbel <[email protected]>:
> Start with -help intreg- but are you willing to assume a particular
> distribution (normal)?
>
> On Wed, Nov 2, 2011 at 4:01 PM, Yuval Arbel <[email protected]> wrote:
>> Dear Statalist Participants,
>>
>> I am working on land-auction data. The lands are allocated for
>> apartment construction or single family units. My question refers to
>> the following two groups:
>>
>> 1. Land auctions with minimum prices (low bounds) where land was
>> eventually sold
>> 2. Land auctions with minimum prices (low bounds) where land was not
>> sold (this is the largest group)
>>
>> I have two questions:
>>
>> 1. Is there any available stata command to run a tobit model where the
>> low bounds are not fixed? Is there any other procedure for
>> left-censored data?
>> 2. Is there any possibility to run the first proceudure with the
>> heckman correction?
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--
Dr. Yuval Arbel
School of Business
Carmel Academic Center
4 Shaar Palmer Street, Haifa, Israel
e-mail: [email protected]
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