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: Very high t- statistics and very small standard errors
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Very high t- statistics and very small standard errors
Date
Wed, 2 May 2012 14:34:43 +0100
If your data are not time series, it is hard to see that Durbin-Watson
tests make any sense. (It is also puzzling how you managed to
calculate them.)
Alan Feiveson's point was I think to wonder about any cluster or
clumping structure: for example, millions of people would often show
some similarities within families or communities.
Nick
On Wed, May 2, 2012 at 2:09 PM, Laurie Molina <[email protected]> wrote:
> Thank you all.
> I will try adding more variables to the model, and think on the
> economic vs statistical significance of the results (I will look for
> the appropiate null hypothesis, as opossed to the default zero).
> Regarding the independe of the observations I ran Durbin Watson
> (although my data is non time series), and the error term do not seem
> to be correlated among observations.
> Regards and thanks again,
> LM
>
> On Tue, May 1, 2012 at 7:36 PM, David Hoaglin <[email protected]> wrote:
>> Laurie,
>>
>> It's unusual to see such a large number of observations and so few
>> explanatory variables. Often, as the amount of data increases, the
>> complexity of the model grows. Do those 4 million observations
>> actually have no structure other than that described by the 6
>> explanatory variables?
>>
>> David Hoaglin
>>
>> On Mon, Apr 30, 2012 at 8:54 PM, Laurie Molina <[email protected]> wrote:
>>> Hi everybody,
>>> I'm running some OLS with around 4 million observations and 6
>>> explanatory variables.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/