LOMODRS: Stata module to perform Lo R/S test for long range dependence in timeseries
lomodrs performs Lo's (1991) modified rescaled range (R/S, "range over standard deviation") test for long range dependence of a time series. The classical R/S test, devised by Hurst (1951) and Mandelbrot (1972), is shown to be excessively sensitive to "short-range dependence" (e.g. ARMA components). Lo's modified version of the statistic takes account of short-range dependence by performing a Newey-West correction (using a Bartlett window) to derive a consistent estimate of the long-range variance of the timeseries. Inference from the modified R/S test for long range dependence is complementary to that derived from that of other tests for long memory, or fractional integration in a timeseries, such as kpss, gphudak, modlpr and roblpr. This is version 1.0.3 of the software, updated from that published in STB-60 and compatible with Stata version 8 syntax. It may be applied to a single timeseries in a panel with the if qualifier or to all timeseries with the by prefix.
|Requires:||Stata version 8.2|
|Date of creation:||28 Jun 2000|
|Date of revision:||26 Jun 2006|
|Note:||This module may be installed from within Stata by typing "ssc install lomodrs". Windows users should not attempt to download these files with a web browser.|
|Contact details of provider:|| Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s412601. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.