MODLPR: Stata module to estimate long memory in a timeseries

Christopher Baum and Vince Wiggins ()
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Vince Wiggins: Stata Corporation

Statistical Software Components from Boston College Department of Economics

Abstract: modlpr computes a modified form of the Geweke/Porter-Hudak (GPH, 1983) estimate of the long memory (fractional integration) parameter, d, of a timeseries, proposed by Phillips (1999a, 1999b). Distinguishing unit-root behavior from fractional integration may be problematic, given that the GPH estimator is inconsistent against d>1 alternatives. This weakness of the GPH estimator is solved by Phillips' Modified Log Periodogram Regression estimator, in which the dependent variable is modified to reflect the distribution of d under the null hypothesis that d=1. Removal of a linear trend is now the default behavior. This is version 1.1.7 of the software, updated from that published in STB-57, 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.

Language: Stata
Requires: Stata version 8.2
Keywords: time-series data; fractional integration; long memory (search for similar items in EconPapers)
Date: 2000-04-24, Revised 2006-02-12
Note: This module may be installed from within Stata by typing "ssc install modlpr". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/modlpr.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/modlpr.hlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s411002

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