Included are the procedure adsur.g with a file adsur.rdme which
discusses installation and the estimation procedure. Adsur.g adaptively
estimates the coefficient vector in the estimation of a Seemingly Unrelated
Regression Model (SUR). The procedure provides estimates of the system
using
GLS, one-step adaptive, and an iterative adaptive estimator. The procedures
implement the estimator discussed in Hodgson, D., Choo, E., and
O. Linton,
(98), "Estimation in Multivariate Time Series Regression Models with
Elliptically
Symmetric Errors," working paper, University of Rochester and K. Vorkink(98)
"Estimating and Testing Linear Asset Pricing Models Under Elliptical
Symmetry,"
Working Paper, University of Rochester.
Adsur.g uses uses a power transformation. See the
papers for a discussion of the
different transformations used in the estimation procedure. The procedure
also allows
various kernels to be used in the nonparametric density estimation
used in the
adaptive estimation model.
Download in Text format: download
adsur.g
download
readme file