No. Whatever inference procedures you used already use sample size to
come up with an answer.
You might need to worry about whether the inference makes sense, e.g.
in precisely what sense your data are a sample, but you can focus on
what the results mean scientifically and practically.
OLS doesn't define a model; it's just an estimation method.
Best to use meaningful titles.
Nick
njcoxstata@gmail.com
On 2 May 2013 14:16, <owner-statalist@hsphsun2.harvard.edu> wrote:
> I have estimated OLS and Probit models using pooled cross-country
> datasets. Due to the pooling of data from multiple countries I have a
> very large obervations (N). I am wondering if there is any additional
> test I may have to run to ensure that my estimates are not merely
> significant because of the large N
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