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Estimating Currency Misalignment Using the Penn Effect: It’s Not as Simple As It Looks

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  • Yin-Wong Cheung
  • Menzie Chinn
  • Xin Nong
Abstract
We investigate the strength of the Penn effect in the most recent version of the Penn World Tables (PWTs). We find that the earlier findings of a Penn effect are confirmed, but that there is some evidence for nonlinearity. Developed and developing countries display different types of nonlinear behaviors. The nonlinear behaviors are likely attributable to differences across countries and do not change when additional control variables are added. We confirm earlier findings of large RMB misalignment in the mid-2000’s, but find that by 2011, the RMB seems near equilibrium. While the Penn effect is quite robust across datasets, estimated misalignment can noticeably change from a linear to a nonlinear specification, and from dataset to dataset.

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  • Yin-Wong Cheung & Menzie Chinn & Xin Nong, 2016. "Estimating Currency Misalignment Using the Penn Effect: It’s Not as Simple As It Looks," NBER Working Papers 22539, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:22539
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    Cited by:

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    3. Cécile Couharde & Carl Grekou & Valérie Mignon, 2021. "MULTIPRIL, a New Database on Multilateral Price Levels and Currency Misalignments," International Economics, CEPII research center, issue 165, pages 94-117.
    4. Yin-Wong Cheung & Sven Steinkamp & Frank Westermann, 2020. "A Tale of Two Surplus Countries: China and Germany," Open Economies Review, Springer, vol. 31(1), pages 131-158, February.
    5. Yin-Wong Cheung & Wenhao Wang, 2020. "A Jackknife Model Averaging Analysis of RMB Misalignment Estimates," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-45, June.
    6. Rui Mano & Ms. Carolina Osorio-Buitron & Mr. Luca A Ricci & Mr. Mauricio Vargas, 2019. "The Level REER model in the External Balance Assessment (EBA) Methodology," IMF Working Papers 2019/192, International Monetary Fund.
    7. Almås, Ingvild & Grewal, Mandeep & Hvide, Marielle & Ugurlu, Serhat, 2017. "The PPP approach revisited: A study of RMB valuation against the USD," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 18-38.
    8. Yin-Wong Cheung & Shi He, 2019. "Truths and Myths About RMB Misalignment: A Meta-analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 464-492, September.
    9. Yin‐Wong Cheung & Shi He, 2022. "RMB misalignment: What does a meta‐analysis tell us?," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1038-1086, September.
    10. Mr. Luis M. Cubeddu & Signe Krogstrup & Gustavo Adler & Mr. Pau Rabanal & Mai Dao & Mrs. Swarnali A Hannan & Luciana Juvenal & Ms. Carolina Osorio-Buitron & Cyril Rebillard & Mr. Daniel Garcia-Macia &, 2019. "The External Balance Assessment Methodology: 2018 Update," IMF Working Papers 2019/065, International Monetary Fund.
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    12. Grabowski, Wojciech & Welfe, Aleksander, 2020. "The Tobit cointegrated vector autoregressive model: An application to the currency market," Economic Modelling, Elsevier, vol. 89(C), pages 88-100.
    13. Yin-Wong Cheung & Shi He, 2019. "Truths and Myths About RMB Misalignment: A Meta-analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 464-492, September.

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    JEL classification:

    • F3 - International Economics - - International Finance
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

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