ardl: Estimating autoregressive distributed lag and equilibrium correction models
Kripfganz, Sebastian | Schneider, Daniel C.
We present a command, ardl, for the estimation of autoregressive distributed lag (ARDL) models in a time-series context. The ardl command can be used to fit an ARDL model with the optimal number of autoregressive and distributed lags based on the Akaike or Bayesian (Schwarz) information criterion. The regression results can be displayed in the ARDL levels form or in the errorcorrection representation of the model. The latter separates long-run and short-run effects and is available in two different parameterizations of the long-run (cointegrating) relationship. The popular bounds-testing procedure for the existence of a long-run levels relationship is implemented as a postestimation feature. Comprehensive critical values and approximate p-values obtained from response-surface regressions facilitate statistical inference.
Afficher plus [+] Moins [-]Informations bibliographiques
Cette notice bibliographique a été fournie par University of Minnesota
Découvrez la collection de ce fournisseur de données dans AGRIS
