*
* Example 16.7.5 starting page 446
*
open data mroz.dat
data(format=free,org=columns) 1 753 taxableinc federaltax hsiblings hfathereduc hmothereduc siblings lfp $
 hours kidsl6 kids618 age educ wage wage76 hhours hage heduc hwage faminc mtr mothereduc fathereduc unenployment $
 largecity exper
*
* Least squares on full sample
*
linreg(title="Least Squares") hours
# constant educ exper age kidsl6
*
* Least squares restricted to observations with positive hours
*
linreg(smpl=(hours>0),title="Least Squares on Hours>0") hours
# constant educ exper age kidsl6
*
* Tobit model. This is done with LDV (Limited Dependent Variables) with the option
* CENSOR=LOWER and LOWER=0.0.
*
ldv(censor=lower,lower=0.0,title="Tobit") hours
# constant educ exper age kidsl6
*
* This evaluates the normal distribution probabilities at the given setting for x,
* given the standard deviation and lower limit. %PRJCDF is the normal CDF value
* needed for adjusting the regression coefficient to compute marginal effects.
*
prj(xvector=||1.0,12.29,10.63,42.54,1.0||,scale=sqrt(%seesq),lower=0.0)
disp "Marginal Effect of Education" %prjcdf*%beta(2)