coint_shin ============================================== Purpose ---------------- Computes a residual based test for the null of cointegration using a structural single equation model. Format ---------------- .. function:: { CIols, CIdols, cv } = coint_shin(y, x, model[, bwl, varm, q]) :noindexentry: :param y: Dependent variable. :type y: Nx1 matrix :param x: Independent variable. :type x: NxK matrix :param model: Model to be implemented. =========== ====================== 0 None 1 Constant only 2 Constant and trend =========== ====================== :type model: Scalar :param bwl: Optional, bandwidth length for long-run variance computation. Default = round(4 * (T/100)^(2/9)). :type bwl: Scalar :param varm: Optional, long-run consistent variance estimation method. Default = 1. =========== ===================================================== 1 iid. 2 Bartlett. 3 Quadratic Spectral (QS). 4 SPC with Bartlett (Sul, Phillips & Choi, 2005) 5 SPC with QS 6 Kurozumi with Bartlett 7 Kurozumi with QS =========== ===================================================== :type varm: Scalar :param q: Optional, number of leads and lags for DOLS estimation. Default = int(4 * (t/100)^(2/9)). :type q: Scalar :return CIols: CI test based on OLS estimation :rtype CIols: Scalar :return CIDols: CI test based on DOLS estimation :rtype CIDols: Scalar :return cv: 1%, 5%, 10% critical values for the model chosen. :rtype cv: Scalar Examples -------- :: library tspdlib; // Load dataset data = loadd(getGAUSSHome() $+ "pkgs/tspdlib/examples/ts_coint.csv", ". + date($Date, '%b-%y')"); // Define y and x matrix y = data[., 1]; x = data[., 2:cols(data)]; // No constant model = 0; // Call test { CIols, CIdols, cv} = coint_shin(y, x, model); Source ------ coint_shin.src