Is the spurious regression problem spurious? / Bennett T. McCallum.

Author/creator McCallum, Bennett T.
Other author National Bureau of Economic Research.
Format Electronic
Publication InfoCambridge, MA : National Bureau of Economic Research,
Supplemental ContentFull text available from NBER Working Papers

SeriesNBER working paper series ; working paper 15690
Working paper series (National Bureau of Economic Research : Online) ; working paper no. 15690. UNAUTHORIZED
Summary "So-called 'spurious regression' relationships between random-walk (or strongly autoregressive) variables are generally accompanied by clear signs of severe autocorrelation in their residuals. A conscientious researcher would therefore not end an investigation with such a result, but would likely re-estimate with an autocorrelation correction. Simulations show, for several typical cases, that the test-rejection statistics for the re-estimated relationships are very close to the true values, so do not yield results of the spurious type"--National Bureau of Economic Research web site.
General noteTitle from PDF file as viewed on 3/2/2010.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Other formsAlso available in print.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010655709