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A nonparametric measure of convergence towards purchasing power parity

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  • Mototsugu Shintani

    (Department of Economics, Vanderbilt University, Nashville, TN 37235, USA)

Abstract

It has been claimed that the deviations from purchasing power parity are highly persistent and have quite long half-lives under the assumption of a linear adjustment of real exchange rates. However, inspired by trade cost models, nonlinear adjustment has been widely employed in recent empirical studies. This paper proposes a simple nonparametric procedure for evaluating the speed of adjustment in the presence of nonlinearity, using the largest Lyapunov exponent of the time series. The empirical result suggests that the speed of convergence to a long-run price level is indeed faster than what was found in previous studies with linear restrictions. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • Mototsugu Shintani, 2006. "A nonparametric measure of convergence towards purchasing power parity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 589-604.
  • Handle: RePEc:jae:japmet:v:21:y:2006:i:5:p:589-604
    DOI: 10.1002/jae.867
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    Cited by:

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    2. Kim, Hyeongwoo & Ryu, Deockhyun, 2015. "A nonparametric study of real exchange rate persistence over a century," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 406-418.
    3. Bask, Mikael & Widerberg, Anna, 2009. "Market structure and the stability and volatility of electricity prices," Energy Economics, Elsevier, vol. 31(2), pages 278-288, March.
    4. Bask, Mikael, 2010. "Measuring potential market risk," Journal of Financial Stability, Elsevier, vol. 6(3), pages 180-186, September.
    5. Bask, Mikael & Widerberg, Anna, 2007. "The Stability and Volatility of Electricity Prices: An Illustration of (lambda, sigma-2) Analysis," Working Papers in Economics 267, University of Gothenburg, Department of Economics.
    6. Angelos Kanas & Angelos Kotios & Panagiotis D. Zervopoulos, 2019. "Semi-parametric real exchange rates dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 643-656, February.
    7. Parhi, Mamata & Diebolt, Claude & Mishra, Tapas & Gupta, Prashant, 2013. "Convergence dynamics of output: Do stochastic shocks and social polarization matter?," Economic Modelling, Elsevier, vol. 30(C), pages 42-51.
    8. Dimitrios Malliaropulos & Ekaterini Panopoulou & Theologos Pantelidis & Nikitas Pittis, 2013. "Decomposing the persistence of real exchange rates," Empirical Economics, Springer, vol. 44(3), pages 1217-1242, June.
    9. Gawon Yoon, 2010. "On the performance of a nonparametric measure of convergence towards purchasing power parity in the presence of linearity," Applied Economics Letters, Taylor & Francis Journals, vol. 17(14), pages 1389-1396.
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    11. Rehim Kılıç, 2009. "Nonlinearity and Persistence in PPP: Does Controlling for Nonlinearity Solve the PPP Puzzle?," Review of International Economics, Wiley Blackwell, vol. 17(3), pages 570-587, August.
    12. Tapas Mishra & Mamata Parhi & Raúl Fuentes, 2015. "How Interdependent are Cross-Country Happiness Dynamics?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 491-518, June.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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