2001
DOI: 10.3386/w8402
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Market Integration and Convergence to the Law of One Price: Evidence from the European Car Market

Abstract: This paper exploits the unique case of European market integration to investigate the relationship between integration and price convergence in international markets. Using a panel data set of car prices, we examine how the process of integration has affected cross-country price dispersion in Europe. We find surprisingly strong evidence of convergence towards both the absolute and the relative versions of the Law of One Price (LOOP). Our analysis illuminates the main sources of segmentation in international ma… Show more

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Cited by 73 publications
(61 citation statements)
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References 31 publications
(26 reference statements)
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“…For this purpose, Goldberg and Verboven [18] proposed to use the unit root test with panel data. The basic convergence equation can be expressed as: Under the null hypothesis of non-convergence, the parameter  equals zero as the shock to…”
Section: Methodsmentioning
confidence: 99%
“…For this purpose, Goldberg and Verboven [18] proposed to use the unit root test with panel data. The basic convergence equation can be expressed as: Under the null hypothesis of non-convergence, the parameter  equals zero as the shock to…”
Section: Methodsmentioning
confidence: 99%
“…Here several empirical tests of price convergence (what we refer to as stationarity) have been carried out, particularly in the international trade area (Frankel and Rose, 1996), but also with reference to consumer price indices across US cities (Cecchetti et al, 2002,) and car prices across European countries (Goldberg and Verboven, 2005).…”
Section: Stationaritymentioning
confidence: 99%
“…Generally, researchers use the same model for panel unit root tests as the model to estimate autoregressive equations and then calculate the halflife of the shocks by employing an approximation technique 2 . However, this calculation of halflife is appropriate only for first order autoregressive processes (Goldberg and Verboven, 2004, footnote 11). For higher order autoregressive processes, this formula would yield biased estimates.…”
Section: Introductionmentioning
confidence: 99%