indicator | Include indicator saturation detection as part of estimation routine. |
w=arg | Weight series or expression. Note: we recommend that, absent a good reason, you employ the default settings Inverse std. dev. weights (“wtype=istdev”) with EViews default scaling (“wscale=eviews”) for backward compatibility with versions prior to EViews 7. |
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. |
z | Turn off backcasting in ARMA models where “arma=cls”. |
optmethod = arg | Optimization method for nonlinear least squares and ARMA: “bfgs” (BFGS); “newton” (Newton-Raphson), “opg” or “bhhh” (OPG or BHHH), “kohn” (Kohn-Ansley for ARMA estimated by ML or GLS), or “legacy” (EViews legacy for nonlinear least squares and ARMA estimated by CLS). Gauss-Newton is the default method. |
optstep = arg | Step method for nonlinear least squares and ARMA: “marquardt” (Marquardt); “dogleg” (Dogleg); “linesearch” (Line search). Marquardt is the default method. |
cov=arg | Covariance method: “ordinary” (default method based on inverse of the estimated information matrix), “huber” or “white” (Huber-White sandwich method available for nonlinear least squares or ARMA estimated by CLS), “hac” (Newey-West HAC, available for nonlinear least squares or ARMA estimated by CLS).. |
covinfo = arg | Information matrix method: “opg” (OPG); “hessian” (observed Hessian). (Applicable when non-legacy “optmethod=”.) |
nodf | Do not perform degree of freedom corrections in computing coefficient covariance matrix. The default is to use degree of freedom corrections. |
covlag=arg (default=1) | Whitening lag specification: integer (user-specified lag value), “a” (automatic selection). |
covinfosel=arg (default=“aic”) | Information criterion for automatic selection: “aic” (Akaike), “sic” (Schwarz), “hqc” (Hannan-Quinn) (if “lag=a”). |
covmaxlag=integer | Maximum lag-length for automatic selection (optional) (if “lag=a”). The default is an observation-based maximum of . |
covkern=arg (default=“bart”) | Kernel shape: “none” (no kernel), “bart” (Bartlett, default), “bohman” (Bohman), “daniell” (Daniel), “parzen” (Parzen), “parzriesz” (Parzen-Riesz), “parzgeo” (Parzen-Geometric), “parzcauchy” (Parzen-Cauchy), “quadspec” (Quadratic Spectral), “trunc” (Truncated), “thamm” (Tukey-Hamming), “thann” (Tukey-Hanning), “tparz” (Tukey-Parzen). |
covbw=arg (default=“fixednw”) | Kernel Bandwidth: “fixednw” (Newey-West fixed), “andrews” (Andrews automatic), “neweywest” (Newey-West automatic), number (User-specified bandwidth). |
covnwlag=integer | Newey-West lag-selection parameter for use in nonparametric kernel bandwidth selection (if “covbw=neweywest”). |
covbwint | Use integer portion of bandwidth. |
m=integer | Set maximum number of iterations. |
c=scalar | 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. |
arma=arg | ARMA estimation method: “ml” (maximum likelihood); “gls” (generalized least squares), “cls” (conditional least squares). Not applicable to ARFIMA models which always estimate using maximum likelihood. |
armastart=arg | ARMA coefficient starting values: “auto” (automatic) “fixed” (legacy EViews fixed); “random” (random draw); “user” (user-specified). Applicable when “arma=ml” or “arma=gls”. |
s | Use the current coefficient values in estimator coefficient vector as starting values for equations specified by list with AR or MA terms when “arma=cls” (see also
param ). |
s=number | Determine starting values for equations specified by list with AR or MA terms when “arma=cls”. Specify a number between zero and one representing the fraction of preliminary least squares estimates computed without AR or MA terms to be used. Note that out of range values are set to “s=1”. Specifying “s=0” initializes coefficients to zero. By default EViews uses “s=1”. Does not apply to coefficients for AR and MA terms which are set to EViews determined default values. |
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”). |
cov=arg | Covariance method: “ordinary” (default method based on inverse of the estimated information matrix), “huber” or “white” (Huber-White sandwich method available for nonlinear least squares or ARMA estimated by CLS), “hac” (Newey-West HAC, available for nonlinear least squares or ARMA estimated by CLS)., “hc” (extended heteroskedasticity consistent), “hcuser” (user-specified heteroskedasticity), “cr” (cluster robust). The extended “hc” methods are only available for linear specifications. |
hctype=arg (default “hc2”) | Extended heteroskedasticity consistent method: “hc0” (no d.f. adjustment), “hc1” (d.f. adjusted), “hc2”, “hc3”, “hc4”, “hc4m”, “hc5”, when “cov=hc”. |
userwt=arg | Name of series containing user-diagonal weights (if “cov=hcuser”) |
crtype=arg (default “cr1”) | Cluster robust weighting method: “cr0” (no finite sample correction), “cr1” (finite sample correction), “hc2”, “hc3”, “hc4”, “hc4m”, “hc5”, when “cov=cr”. |
crname=arg | Cluster robust series name, when “cov=cr”. |
k=arg (default = 0.7) | Parameter for “cov=hc, hctype=hc5” or “cov=cr, crtype=cr5”. |
k1=arg (default = 1.0) | Parameter for “cov=hc, hctype=hc4m” or “cov=cr, crtype=cr4m”. |
k2=arg (default = 1.5) | Parameter for “cov=hc, hctype=hc4m” or “cov=cr, crtype=cr4m”. |
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. |
noiis | Do not search for impulse terms. |
sis | Search for step-shift terms. |
trend | Search for trend terms. |
pval=number (default = 0.05) | Set the terminal condition p-value used to determine the stopping point of each search path |
nolm | Do not perform AR LM diagnostic test. |
arpval=number (default = 0.025) | Set p-value used in AR LM diagnostic test. |
arlags=int (default = 1) | Set number of lags used in AR LM diagnostic test. |
noarch | Do not perform ARCH LM diagnostic test. |
archpval=number (default = 0.025) | Set p-value used in ARCH LM diagnostic test. |
archlags=int (default = 1) | Set number of lags used in ARCH LM diagnostic test. |
nojb | Do not perform Jarque-Bera normality diagnostic test. |
jbpval=number (default = 0.025) | Set p-value used in Jarque-Bera normality diagnostic test. |
nopet | Do not perform Parsimonious Encompassing diagnostic test. |
petpval=number (default = 0.025) | Set p-value used in Parsimonious Encompassing diagnostic test. |
nogum | Do not include the general model as a candidate for model selection. |
noempty | Do not include the empty model as a candidate for model selection. |
ic =arg | Set the information criterion used in model selection: “AIC” (Akaike information criteria, default), “BIC” (Schwarz information criteria), “HQ” (Hannan-Quin criteria). |
blocks=int | Override the EViews’ determination of the number of blocks in which to split the estimation sample. |
cx=arg | Cross-section effects: (default) none, fixed effects (“cx=f”), random effects (“cx=r”). |
per=arg | Period effects: (default) none, fixed effects (“per=f”), random effects (“per=r”). |
wgt=arg | GLS weighting: (default) none, cross-section system weights (“wgt=cxsur”), period system weights (“wgt=persur”), cross-section diagonal weighs (“wgt=cxdiag”), period diagonal weights (“wgt=perdiag”). |
cov=arg | Coefficient covariance method: (default) ordinary, White cross-section system (period clustering) robust (“cov=cxwhite” or “cov=percluster”), White period system (cross-section clustering) robust (“cov=perwhite” or “cov=cxcluster”), White heteroskedasticity robust (“cov=stackedwhite”), White two-way cluster robust (cov=bothcluster”), Cross-section system robust/PCSE (“cov=cxsur”), Period system robust/PCSE (“cov=persur”), Cross-section heteroskedasticity robust/PCSE (“cov=cxdiag”), Period heteroskedasticity robust/PCSE (“cov=perdiag”). |
keepwgts | Keep full set of GLS weights used in estimation with object, if applicable (by default, only small memory weights are saved). |
rancalc=arg (default=“sa”) | Random component method: Swamy-Arora (“rancalc=sa”), Wansbeek-Kapteyn (“rancalc=wk”), Wallace-Hussain (“rancalc=wh”). |
nodf | Do not perform degree of freedom corrections in computing coefficient covariance matrix. The default is to use degree of freedom corrections. |
coef=arg | Specify the name of the coefficient vector (if specified by list); the default behavior is to use the “C” coefficient vector. |
iter=arg (default= “onec”) | Iteration control for GLS specifications: perform one weight iteration, then iterate coefficients to convergence (“iter=onec”), iterate weights and coefficients simultaneously to convergence (“iter=sim”), iterate weights and coefficients sequentially to convergence (“iter=seq”), perform one weight iteration, then one coefficient step (“iter=oneb”). Note that random effects models currently do not permit weight iteration to convergence. |
unbalsur | Compute SUR factorization in unbalanced data using the subset of available observations for a cluster. |
m=integer | Set maximum number of iterations. |
c=scalar | 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. |
s | Use the current coefficient values in estimator coefficient vector as starting values for equations specified by list with AR terms (see also
param ). |
s=number | Determine starting values for equations specified by list with AR terms. Specify a number between zero and one representing the fraction of preliminary least squares estimates computed without AR terms to be used. Note that out of range values are set to “s=1”. Specifying “s=0” initializes coefficients to zero. By default EViews uses “s=1”. Does not apply to coefficients for AR terms which are instead set to EViews determined default values. |
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. |
showopts / ‑showopts | [Do / do not] display the starting coefficient values and estimation options in the estimation output. |
prompt | Force the dialog to appear from within a program. |
p | Print basic estimation results. |