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Exchange Rate Economics: Theories and Evidence

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54 Purchasing power parity <strong>and</strong> the PPP puzzle<br />

Table 2.1 Engle–Granger two-step cointegration tests<br />

CPI<br />

WPI<br />

α 0 α 1 ADF α 0 α 1 ADF<br />

Canada −0.00001 0.223 −2.400 0.783 −0.672 2.100<br />

France 3.157 −3.662 −2.260 1.709 −1.192 −2.350<br />

Germany 5.552 −3.266 −1.620 3.144 −2.250 −1.420<br />

Italy 1.916 −2.892 −2.050 0.668 −0.365 −1.470<br />

Japan 1.088 −1.390 −2.670 2.161 −1.621 −2.920<br />

Netherl<strong>and</strong>s 1.681 −1.275 −2.150 2.111 −1.593 −1.310<br />

Sweden −0.318 0.921 −1.950 0.929 −0.809 −1.180<br />

Switzerl<strong>and</strong> 0.382 −0.758 −2.360 2.254 −1.355 −1.650<br />

United Kingdom 0.614 −0.579 −2.350 0.517 −0.478 −2.060<br />

Notes<br />

The countries in the first column denote the home currency component of the nominal exchange<br />

rate used in the Engle–Granger two-step regression (in all cases the foreign currency is the US<br />

dollar). The entries in the columns labelled α 0 <strong>and</strong> α 1 denote estimated coefficients <strong>and</strong> ADF<br />

denotes the augmented Dickey–Fuller statistic calculated from the residuals of the cointegration<br />

regression. The critical value for the latter is −2.98. The labels CPI <strong>and</strong> WPI indicate the use of<br />

a consumer or wholesale price measure in the cointegrating regression.<br />

of the estimated augmented Dickey–Fuller statistics are significant at the 5% level<br />

(indeed,none are significant at even the 10% level). Taylor <strong>and</strong> McMahon (1988)<br />

use the Engle–Granger two-step test to evaluate the PPP hypothesis for inter-war<br />

exchange rates; however,see Ahking (1990) for a critique of this work.<br />

However,as is now well known the two-step method of Engle <strong>and</strong> Granger<br />

suffers from a number of deficiencies,such as having poor small sample properties<br />

<strong>and</strong>,in the presence of endogeneity <strong>and</strong> serial correlation,the asymptotic<br />

distribution of the estimates will depend on nuisance parameters (see,for example,Banerjee<br />

et al. 1986). Since Johansen’s (1988,1995) full information maximum<br />

likelihood method produces asymptotically optimal estimates (because it has a parametric<br />

correction for serial correlation <strong>and</strong> endogeneity) a number of researchers<br />

have applied this method to testing the PPP hypothesis. Thus,Cheung <strong>and</strong> Lai<br />

(1993),Kugler <strong>and</strong> Lenz (1993),MacDonald (1993,1995a) <strong>and</strong> MacDonald <strong>and</strong><br />

Marsh (1994a) all report strong evidence of cointegration,<strong>and</strong> therefore support<br />

for weak-form PPP,but little evidence in favour of strong-form PPP when US<br />

dollar bilateral exchange rates are used,since homogeneity restrictions are usually<br />

strongly rejected. MacDonald (1993,1995a) reports more evidence in favour of<br />

strong-form PPP when DM-based bilaterals are used.<br />

For illustrative purposes,we present Table 2.2 which contains a representative<br />

set of Johansen-based PPP results from MacDonald (1995a) (these estimates are<br />

constructed using the same data sets underlying the numbers in Table 2.1 for the<br />

Engle–Granger tests,discussed earlier).<br />

Table 2.2 should be read in the following way. The numbers in the column<br />

labelled ‘Trace’ are estimates of Johansen’s Trace test for the hypothesis that there<br />

are at most r distinct cointegrating vectors. The estimates of the normalised cointegrating<br />

vectors are contained in the two columns under α 0 <strong>and</strong> α 1 ,the entries

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