In recent work Im, Lee, and Enders (2006) use stationary instrumental variables to test for cointegrating relationships. The advantage of their approach is that the t-statistics are asymptotically standard normal and the familiar critical values of the normal distribution may be used to assess significance. Thus, the test avoids the nuisance parameter problem in single equation regressions for cointegration. Using an updated version of the data set developed by Taylor (2002), the ILE test is compared to three single equation alternatives in testing for purchasing power parity: An error correction model, autoregressive distributed lag model, and the Engle-Granger two step procedure. The regressions with instruments provide evidence supportive of PPP for some countries but the empirical results differ across tests and the choice of instrument can affect the results.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
18079.
Find related papers by JEL classification: C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General F31 - International Economics - - International Finance - - - Foreign Exchange
This paper has been announced in the following NEP Reports:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: