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Reviewing The Sustainability/Stationarity Of Current Account Imbalances With Tests For Bounded Integration

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  • HELMUT HERWARTZ
  • FANG XU

Abstract

We investigate for 26 OECD economies whether their current account imbalances to GDP are driven by stochastic trends. Regarding bounded stationarity as the more natural counterpart of sustainability, results from Phillips–Perron tests for unit root and bounded unit root processes are contrasted. While the former hint at stationarity of current account imbalances for 12 economies, the latter indicate bounded stationarity for only six economies. Through panel‐based test statistics, current account imbalances are diagnosed as bounded non‐stationary. Thus, (spurious) rejections of the unit root hypothesis might be due to the existence of bounds reflecting hidden policy controls or financial crises.

Suggested Citation

  • Helmut Herwartz & Fang Xu, 2008. "Reviewing The Sustainability/Stationarity Of Current Account Imbalances With Tests For Bounded Integration," Manchester School, University of Manchester, vol. 76(3), pages 267-278, June.
    • Handle: RePEc:bla:manchs:v:76:y:2008:i:3:p:267-278
    DOI: 10.1111/j.1467-9957.2008.01059.x
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    References listed on IDEAS

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    1. Herwartz, H. & Xu, F., 2010. "A functional coefficient model view of the Feldstein-Horioka puzzle," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 37-54, February.
    2. Markus Reischmann, 2016. "Empirical Studies on Public Debt and Fiscal Transfers," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 63.
    3. Cavaliere, Giuseppe & Xu, Fang, 2014. "Testing for unit roots in bounded time series," Journal of Econometrics, Elsevier, vol. 178(P2), pages 259-272.
    4. Josep Lluís Carrion‐i‐Silvestre & María Dolores Gadea & Antonio Montañés, 2021. "Nearly Unbiased Estimation of Autoregressive Models for Bounded Near‐Integrated Stochastic Processes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 273-297, February.
    5. Josep Lluís Carrion-i-Silvestre & María Dolores Gadea & Antonio Montañés, 2017. "“Unbiased estimation of autoregressive models forbounded stochastic processes," AQR Working Papers 201710, University of Barcelona, Regional Quantitative Analysis Group, revised Dec 2017.
    6. Niklas Potrafke & Markus Reischmann, 2012. "Fiscal Equalization Schemes and Fiscal Sustainability," ifo Working Paper Series 141, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    8. Josep Lluís Carrion-i-Silvestre & María Dolores Gadea, 2021. ""Detecting multiple level shifts in bounded time series"," IREA Working Papers 202115, University of Barcelona, Research Institute of Applied Economics, revised Jul 2021.
    9. Joscha Beckmann & Robert Czudaj, 2017. "Effective Exchange Rates, Current Accounts and Global Imbalances," Review of International Economics, Wiley Blackwell, vol. 25(3), pages 500-533, August.
    10. Niklas Potrafke & Markus Reischmann, 2015. "Fiscal Transfers and Fiscal Sustainability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(5), pages 975-1005, August.

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    More about this item

    JEL classification:

    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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