Object Reference : Object View and Procedure Reference : Equation
  
 
liml
Limited Information Maximum Likelihood and K-class Estimation.
Syntax
eq_name.liml(options) y c x1 [x2 x3 ...] @ z1 [z2 z3 ...]
eq_name.liml(options) specification @ z1 [z2 z3 ...]
To use the liml command, list the dependent variable first, followed by the regressors, then any AR or MA error specifications, then an “@”-sign, and finally, a list of exogenous instruments.
You may estimate nonlinear equations or equations specified with formulas by first providing a specification, then listing the instrumental variables after an “@”-sign. There must be at least as many instrumental variables as there are independent variables. All exogenous variables included in the regressor list should also be included in the instrument list. A constant is included in the list of instrumental variables, unless the noconst option is specified.
Options
 
noconst
Do not include a constant in the instrumental list. Without this option, a constant will always be included as an instrument, even if not specified explicitly.
w=arg
Weight series or expression.
wtype=arg (default=“istdev”)
Weight specification type: inverse standard deviation (“istdev”), inverse variance (“ivar”), standard deviation (“stdev”), variance (“var”).
wscale=arg
Weight scaling: EViews default (“eviews”), average (“avg”), none (“none”).
The default setting depends upon the weight type: “eviews” if “wtype=istdev”, “avg” for all others.
kclass=number
Set the value of in the K‑class estimator. If omitted, LIML is performed, and is calculated as part of the estimation procedure.
se = arg (default=“iv”)
Set the standard-error calculation type: IV based (“se=iv”), K-Class based (“se=kclass”), Bekker (“se=bekk”), or Hansen, Hausman, and Newey (“se=hhn”).
m=integer
Set maximum number of iterations.
c=number
Set convergence criterion. The criterion is based upon the maximum of the percentage changes in the scaled coefficients. The criterion will be set to the nearest value between 1e-24 and 0.2.
numericderiv / ‑numericderiv
[Do / do not] use numeric derivatives only. If omitted, EViews will follow the global default.
fastderiv / ‑fastderiv
[Do / do not] use fast derivative computation. If omitted, EViews will follow the global default.
Available only for legacy estimation (“optmeth=legacy”).
showopts / ‑showopts
[Do / do not] display the starting coefficient values and estimation options in the estimation output.
coef=arg
Specify the name of the coefficient vector (if specified by list); the default behavior is to use the “C” coefficient vector.
prompt
Force the dialog to appear from within a program.
p
Print estimation results.
Examples
equation eq1.liml gdp c cpi inc @ lw lw(-1)
creates equation EQ1 and calculates a LIML estimation of GDP on a constant, CPI, and INC, using a constant, LW, and LW(-1) as instruments.
e1.liml(kclass=2)
estimates the same equation, but this time via K-Class estimation, with K=2.
Cross-references
See also “Limited Information Maximum Likelihood and K-Class Estimation” for discussion.