[Limdep Nlogit List] Limdep vs Stata 9

[Mentzakis, Emmanouil]

Dear Marc,

A small observation irrelevant of sample size but related to significance levels. Your command in Stata does not estimate a panel model.

Try something like: xtreg lnaf l.lnaf l.lnta ... , robust cluster(code)

Hope this helps.

Manos


________________________________________
From: limdep-bounces at limdep.itls.usyd.edu.au [limdep-bounces at limdep.itls.usyd.edu.au] On Behalf Of Marc Goergen [goergenm at Cardiff.ac.uk]
Sent: 26 March 2009 16:19
To: Limdep and Nlogit Mailing List
Subject: Re: [Limdep Nlogit List] Limdep vs Stata 9

Dear Bill

Thank you very much for your reply. This is very helpful.

I have followed your suggestions and created the lagged values of LNAF and LNTA. However, this doesn't seem to make a difference. What is really puzzling is that Limdep ends up with a larger (not smaller) number of observations that Stata. Could it be the way Limdep deals with unbalanced panels?

Marc


Prof. Marc Goergen
Cardiff Business School
Cardiff University
Colum Drive
Cardiff CF10 3EU

Tel:   029 2087 6450

http://www.cf.ac.uk/carbs/faculty/goergenm/index.html

My working papers are available at:
http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=29035

>>> William Greene <wgreene at stern.nyu.edu> 26/03/2009 13:03 >>>
You should create the lagged values of LNAF and LNTA
before the REGRESS command, then adjust the sample to
exclude the first observation in each group. LIMDEP
is including a set of period dummies in the regression.
I'm not sure Stata does that - I do not see it in the
Stata command. LIMDEP is not computing "robust" standard
errors. Apparently, Stata is.
/B. Greene

----- Original Message -----
From: "Marc Goergen" <goergenm at Cardiff.ac.uk>
To: limdep at limdep.itls.usyd.edu.au
Sent: Thursday, March 26, 2009 8:55:53 AM GMT -05:00 US/Canada Eastern
Subject: [Limdep Nlogit List] Limdep vs Stata 9

Dear all

I have been running a pooled OLS regression on the same dataset in both Limdep and Stata 9. However, the results I obtained are significantly different:

1. Limdep seems to include roughly 10% more observations than Stata does, despite using the skip command in Limdep.

2. Some of the variables that were highly significant in Limdep are no longer significant in Stata. This is especially true for a dummy variable which was significant at the 0.1% level in Limdep, but at best has a p-value of 0.39 in Stata.

3. While for the case of Limdep the results for OLS without group dummy variables are significantly different from those with group dummy variables, in Stata the differences are much less pronounced.

The command I used in Limdep is:

REGRESS; LHS= LNAF; RHS= LNAF[-1],LNTA[-1], ...; STR=CODE; PERIOD=YEAR; PANEL$

The command I used in Stata is:

regress lnaf l.lnaf l.lnta ... , robust cluster(code)

Dropping the "robust" and "cluster" options in Stata does not bring the results more in line with those obtained from Limdep.

Best wishes,

Marc


Prof. Marc Goergen
Cardiff Business School
Cardiff University
Colum Drive
Cardiff CF10 3EU

Tel:   029 2087 6450

http://www.cf.ac.uk/carbs/faculty/goergenm/index.html

My working papers are available at:
http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=29035

_______________________________________________
Limdep site list
Limdep at limdep.itls.usyd.edu.au
http://limdep.itls.usyd.edu.au
_______________________________________________
Limdep site list
Limdep at limdep.itls.usyd.edu.au
http://limdep.itls.usyd.edu.au

_______________________________________________
Limdep site list
Limdep at limdep.itls.usyd.edu.au
http://limdep.itls.usyd.edu.au


The University of Aberdeen is a charity registered in Scotland, No SC013683.