qardlr 1.1.1
- Removed an empty item from the author list of
qardlr-package.Rd, which caused an HTML validation NOTE
(“trimming empty
-
“). No changes to code.
qardlr 1.1.0
- Standard errors and Wald tests now follow Cho, Kim and Shin (2015):
the covariance of the long-run parameters is Theorem 2 (with (X’PX)^-1
and the error density estimated by a Gaussian kernel with the Bofinger
bandwidth), the covariance of phi and gamma is Theorem 1 with the
estimator of equation (13), and the Wald tests across quantiles use the
joint covariances of Theorems 3 and 4. The previous version assumed
independence across quantiles, computed the long-run standard errors by
a delta method without covariance terms, and fell back to a fixed
covariance of 0.01 when the quantile regression covariance failed.
- Fixed the contemporaneous coefficients with several covariates and q
> 1: the coefficient of x1 at lag 1 was reported as the coefficient
of x2 at lag 0.
gamma is now the level coefficient gamma(tau) of Cho,
Kim and Shin (2015), the sum of the coefficients on x_t, …, x_{t-q+1},
so that beta = gamma / (1 - sum(phi)) as printed; the coefficients on
x_t are in gamma0. Constancy tests for gamma are carried
out covariate by covariate because its covariance has rank one at each
quantile.
qardl_simulate(): the true long-run parameter is now
gamma_true / (1 - sum(phi_true)), the value implied by the simulated
process (the default beta_true of 1 was not the parameter of the
DGP).
- New outputs
cov_joint and fhat.