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Econometrics Toolbox Functions

Alphabetical List By Category
adftest Augmented Dickey-Fuller test
aicbic Akaike or Bayesian information criteria
archtest Engle test for residual heteroscedasticity
arima Create ARIMA or ARIMAX time series model
arima Convert regression model with ARIMA errors to ARIMAX model
arma2ar Convert ARMA model to AR model
arma2ma Convert ARMA model to MA model
armairf Generate ARMA model impulse responses
autocorr Sample autocorrelation
bayeslm Create Bayesian linear regression model object
chowtest Chow test for structural change
collintest Belsley collinearity diagnostics
conjugateblm Bayesian linear regression model with conjugate prior for data likelihood
corrplot Plot variable correlations
crosscorr Sample cross-correlation
customblm Bayesian linear regression model with custom joint prior distribution
cusumtest Cusum test for structural change
diffuseblm Bayesian linear regression model with diffuse conjugate prior for data likelihood
disp Display summary information for state-space model
disp Display summary information for diffuse state-space model
dssm Create diffuse state-space model
egarch EGARCH conditional variance time series model
egarch Create EGARCH conditional variance model object
egcitest Engle-Granger cointegration test
empiricalblm Bayesian linear regression model with samples from prior or posterior distributions
estimate Estimate parameters of regression models with ARIMA errors
estimate Fit parameters of Bayesian linear regression model to data
estimate Estimate ARIMA or ARIMAX model parameters
estimate Fit conditional variance model to data
estimate Fit vector autoregression model to data
estimate Maximum likelihood parameter estimation of state-space models
estimate Maximum likelihood parameter estimation of diffuse state-space models
fgls Feasible generalized least squares
filter Apply lag operator polynomial to filter time series
filter Filter disturbances through regression model with ARIMA errors
filter Filter disturbances using ARIMA or ARIMAX model
filter Filter disturbances through conditional variance model
filter Filter disturbances through vector autoregression model
filter Forward recursion of state-space models
filter Forward recursion of diffuse state-space models
forecast Forecast responses of regression model with ARIMA errors
forecast Forecast responses of Bayesian linear regression model
forecast Forecast ARIMA or ARIMAX process
forecast Forecast conditional variances from conditional variance models
forecast Forecast vector autoregression model responses
forecast Forecast states and observations of state-space models
forecast Forecast states and observations of diffuse state-space models
garch GARCH conditional variance time series model
garch Create GARCH conditional variance model object
gjr GJR conditional variance time series model
gjr Create GJR conditional variance model object
hac Heteroscedasticity and autocorrelation consistent covariance estimators
hpfilter Hodrick-Prescott filter for trend and cyclical components
i10test Paired integration and stationarity tests
impulse Impulse response of regression model with ARIMA errors
impulse Impulse response function
infer Infer ARIMA or ARIMAX model residuals or conditional variances
infer Infer innovations of regression models with ARIMA errors
infer Infer conditional variances of conditional variance models
infer Infer vector autoregression model innovations
isStable Determine stability of lag operator polynomial
jcitest Johansen cointegration test
jcontest Johansen constraint test
kpsstest KPSS test for stationarity
lagmatrix Create matrix of lagged time series
LagOp Create lag operator polynomial (LagOp) object
LagOp.isEqLagOp Determine if two LagOp objects are same mathematical polynomial
LagOp.isNonZero Find lags associated with nonzero coefficients of LagOp objects
LagOp.minus Lag operator polynomial subtraction
LagOp.mldivide Lag operator polynomial left division
LagOp.mrdivide Lag operator polynomial right division
LagOp.mtimes Lag operator polynomial multiplication
LagOp.plus Lag operator polynomial addition
lbqtest Ljung-Box Q-test for residual autocorrelation
lmctest Leybourne-McCabe stationarity test
lmtest Lagrange multiplier test of model specification
lratiotest Likelihood ratio test of model specification
parcorr Sample partial autocorrelation
plot Visualize prior and posterior densities of Bayesian linear regression model parameters
pptest Phillips-Perron test for one unit root
price2ret Convert prices to returns
print Display estimation results for regression models with ARIMA errors
print Display parameter estimation results for ARIMA or ARIMAX models
print Display parameter estimation results for conditional variance models
recessionplot Overlay recession bands on a time series plot
recreg Recursive linear regression
refine Refine initial parameters to aid state-space model estimation
refine Refine initial parameters to aid diffuse state-space model estimation
reflect Reflect lag operator polynomial coefficients around lag zero
regARIMA Create regression model with ARIMA time series errors
ret2price Convert returns to prices
semiconjugateblm Bayesian linear regression model with semiconjugate prior for data likelihood
simsmooth State-space model simulation smoother
simulate Monte Carlo simulation of regression model with ARIMA errors
simulate Simulate regression coefficients and disturbance variance of Bayesian linear regression model
simulate Monte Carlo simulation of ARIMA or ARIMAX models
simulate Monte Carlo simulation of conditional variance models
simulate Monte Carlo simulation of vector autoregression models
simulate Monte Carlo simulation of state-space models
smooth Backward recursion of state-space models
smooth Backward recursion of diffuse state-space models
ssm Create state-space model
summarize Distribution summary statistics of Bayesian linear regression model
summarize Display vector autoregression (VAR) model estimation results
toCellArray Convert lag operator polynomial object to cell array
var2vec Convert VAR model to VEC model
varm Create vector autoregression model
vec2var Convert VEC model to VAR model
vgxar (To be removed) Convert VARMA model to VAR model
vgxcount (To be removed) Count VARMAX model parameters
vgxdisp (To be removed) Display VARMAX model parameters and statistics
vgxget (To be removed) Get VARMAX model specification parameters
vgxinfer (To be removed) Infer VARMAX model residuals
vgxloglik (To be removed) VARMAX model loglikelihoods
vgxma (To be removed) Convert VARMA model to VMA model
vgxplot (To be removed) Plot VARMAX model responses
vgxpred (To be removed) Forecast VARMAX model responses
vgxproc (To be removed) Generate VARMAX model responses from innovations
vgxqual (To be removed) Test VARMAX model for stability/invertibility
vgxset (To be removed) Set VARMAX model specification parameters
vgxsim (To be removed) Simulate VARMAX model responses
vgxvarx (To be removed) Estimate VARX model parameters
vratiotest Variance ratio test for random walk
waldtest Wald test of model specification
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