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]
st: Robust-RE and OLS(robust, cluster):
From
Stefano Li Pira <[email protected]>
To
[email protected]
Subject
st: Robust-RE and OLS(robust, cluster):
Date
Mon, 23 Dec 2013 16:05:39 +0100
Dear Statlist,
I am doing a random-effect analysis on a unbalance panel data with 13
firms, and 4 to 22 observation per firms. The number of observation
are 181.
I'm trying to measure to estimate the two-way and three-way interaction
1) I have chosen the RE analysis because I have a time-invariant
variable, so I could not compare the FE and the RE with the standard
Hausmann procedure.
can I use a different procedure to compare them?
is there a procedure to verify the small variability that, I think,
should confirm my choice of the RE even without the time-invariant
variable justification?
2) I decided to compare the RE-robust with an OLS(robust and cluster
errors) but the BreuschPagan result is not comprehensible. Is there
another test I can use?
Breusch and Pagan Lagrangian multiplier test for random effects
Zmarket_share_t1[idfirm,t] = Xb + u[idfirm] + e[idfirm,t]
Estimated results:
| Var sd = sqrt(Var)
---------+-----------------------------
Zmarket~1 | 1 1
e | .0198728 .1409709
u | 0 0
Test: Var(u) = 0
chibar2(01) = 0.00
Prob > chibar2 = 1.0000
Thanks
Stefano Li Pira
PhD Student
Department of Management
Università Ca'Foscari di Venezia
Fondamenta San Giobbe - 873 Cannaregio
30121 Venezia
Italy
E-mail: [email protected] - [email protected]
*
* 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/