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Journal ArticleDOI

Purchasing Power Parity in the Long Run: A Cointegration Approach

Yoonbai Kim
- 01 Nov 1990 - 
- Vol. 22, Iss: 4, pp 491-503
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TLDR
In this paper, the authors used cointegration analysis to examine purchasing power parity relationships over a long-time horizon and found that the exchange rate is cointegrated strongly with the wholesale price index ratio and somewhat weakly with the consumer price index ratios.
Abstract
This paper utilizes cointegration analysis to examine purchasing power parity relationships over a long-time horizon. The results indicate that the exchange rate is cointegrated strongly with the wholesale price index ratio and somewhat weakly with the consumer price index ratio. The cointegrating coefficient between the exchange rate and the price ratio is close to one when cointegration is confirmed. The hypothesis that the real exchange rate follows a random walk is rejected in most cases. Finally, a new test for common trends finds no such common trends in exchange rates or price ratios. Copyright 1990 by Ohio State University Press.

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Citations
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Long memory processes and fractional integration in econometrics

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Real Exchange Rate Behavior: The Recent Float from the Perspective of the Past Two Centuries

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The behavior of real exchange rates during the post-Bretton Woods period

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Transactions costs and nonlinear adjustment in real exchange rates: an empirical investigation

TL;DR: In this paper, the authors used both monthly data for the interwar period and annual data spanning two centuries to show that the linear model of real exchange rate determination in the presence of transactions costs may be biased against the long-run PPP hypothesis.
References
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Journal ArticleDOI

Co-integration and Error Correction: Representation, Estimation and Testing

TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
Journal ArticleDOI

Distribution of the Estimators for Autoregressive Time Series with a Unit Root

TL;DR: In this article, the limit distributions of the estimator of p and of the regression t test are derived under the assumption that p = ± 1, where p is a fixed constant and t is a sequence of independent normal random variables.
Journal ArticleDOI

Testing for a Unit Root in Time Series Regression

TL;DR: In this article, the authors proposed new tests for detecting the presence of a unit root in quite general time series models, which accommodate models with a fitted drift and a time trend so that they may be used to discriminate between unit root nonstationarity and stationarity about a deterministic trend.
Journal ArticleDOI

Maximum likelihood estimation and inference on cointegration — with applications to the demand for money

TL;DR: In this paper, the estimation and testing of long-run relations in economic modeling are addressed, starting with a vector autoregressive (VAR) model, the hypothesis of cointegration is formulated as a hypothesis of reduced rank of the long run impact matrix.
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