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: Quadratics and FD?
From
Lukas Borkowski <[email protected]>
To
[email protected]
Subject
st: Quadratics and FD?
Date
Mon, 9 Jul 2012 23:21:17 +0200
Dear all,
I use Stata 11.2 and work on a two period balanced panel. I try for ages to plot my key explanatory variable in a regression model in order to show graphically that there might be a turning point where the sign of my key explanatory changes. I want to compare these turning points over three categories of observations (ldc, lldc and sids). Now, the tricky thing is that I want to do that while controlling for unobserved fixed effects using the first differencing method suggested by Wooldridge (2002). I understand that the code for the pooled OLS estimator would be
//
qui reg lngdp_wb $controls c.pter##c.pter##(ldc lldc sids), vce(cluster id)
preserve
foreach var in $controls {
sum `var'
replace `var' = r(mean)
}
foreach var in ldc lldc sids {
qui replace ldc = 0
qui replace lldc = 0
qui replace sids = 0
qui replace `var' = 1
qui predict yhat_`var'
}
sort pter
twoway line yhat_ldc yhat_lldc yhat_sids pter
//
but when replace the first line with -qui reg lngdp_wb D.($controls pter ldc lldc sids pter_ldc pter_lldc pter_sids pter2 pter2_ldc pter2_lldc pter2_sids), vce(cluster id)- then the plotter scat is total useless due to extrem volatilities.
Do you have any suggestions what I can do in order to work that out?
Regards
#
Lukas Borkowski
*
* 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/