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Research Article

Detecting Multiple Level Shifts in Bounded Time Series

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References

  • Bykhovskaya, A., and Duffy, J. A. (2022), “The Local to Unity Dynamic Tobit Model,” arXiv preprint arXiv:2210.02599.
  • Carrion-i-Silvestre, J. L., and Gadea, M. D. (2013), “GLS-based Unit Root Tests for Founded Processes,” Economics Letters, 120, 184–187. DOI: 10.1016/j.econlet.2013.04.016.
  • ——— (2016), “Bounds, Breaks and Unit Root Tests,” Journal of Time Series Analysis, 37, 165–181.
  • Carrion-i-Silvestre, J. L., Gadea, M. D., and Montañés, A. (2021), “Nearly Unbiased Estimation of Autoregressive Models for Bounded Near-Integrated Stochastic Processes,” Oxford Bulletin of Economics and Statistics, 83, 273–297. DOI: 10.1111/obes.12399.
  • Casini, A. (2022), “Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models,” Journal of Econometrics, forthcoming.
  • Casini, A., Deng, T., and Perron, P. (2022), “Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference,” arXiv preprint arXiv:2103.01604.
  • Casini, A., and Perron, P. (2019), Structural Breaks in Time Series, Oxford Research Encyclopedia of Economics and Finance, Oxford: Oxford University Press.
  • Cavaliere, G. (2005a), “Limited Time Series with a Unit Root,” Econometric Theory, 21, 907–945. DOI: 10.1017/S0266466605050462.
  • Cavaliere, G. (2005b), “Testing Mean Reversion in Target-Zone Exchange Rates,” Applied Economics, 37, 2335–2347. DOI: 10.1080/00036840500359283.
  • Cavaliere, G., and Xu, F. (2014), “Testing for Unit Roots in Bounded Nonstationary Time Series,” Journal of Econometrics, 178, 259–272. DOI: 10.1016/j.jeconom.2013.08.026.
  • Duffy, J. A., Mavroeidis, S., and Wycherley, S. (2022), “Cointegration with Occasionally Binding Constraints,” arXiv preprint arXiv:2211.09604.
  • Frankel, J., and Wei, S. J. (2008), “Estimation of De Facto Exchange Rate Regimes: Synthesis of the Techniques for Inferring Flexibility and Basket Weights,” IMF Staff Papers, 55, 384–416. DOI: 10.1057/imfsp.2008.18.
  • Granger, C. W. J. (2010), “Some Thoughts on the Development of Cointegration,” Journal of Econometrics, 158, 3–6. DOI: 10.1016/j.jeconom.2010.03.002.
  • Harvey, D. I., Leybourne, S. J., and Taylor, A. M. R. (2010), “Robust Methods for Detecting Multiple Level Breaks in Autocorrelated Time Series,” Journal of Econometrics, 157, 342–358. DOI: 10.1016/j.jeconom.2010.02.003.
  • Herwartz, H., and Xu, F. (2008), “Reviewing the Sustainability/Stationarity of Current Account Imbalances with Tests for Bounded Integration,” The Manchester School, 76, 267–278. DOI: 10.1111/j.1467-9957.2008.01059.x.
  • Kejriwal, M., and Perron, P. (2010), “A Sequential Procedure to Determine the Number of Breaks in Trend with an Integrated or Stationary Noise Component,” Journal of Time Series Analysis, 31, 305–328. DOI: 10.1111/j.1467-9892.2010.00666.x.
  • Ng, S., and Perron, P. (2001), “Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power,” Econometrica, 69, 1519–1554. DOI: 10.1111/1468-0262.00256.
  • Perron, P. (1989), “The Great Crash, the Oil Price Shock and the Unit Root Hypothesis,” Econometrica, 57, 1361–1401. DOI: 10.2307/1913712.
  • ——— (1990), “Testing for a Unit Root in a Time Series with a Changing Mean,” Journal of Business and Economic Statistics, 8, 153–162.
  • Perron, P., and Yabu, T. (2009), “Testing for Shifts in Trend with an Integrated or Stationary Noise Component,” Journal of Business and Economic Statistics, 27, 369–396. DOI: 10.1198/jbes.2009.07268.
  • Perron, P., and Qu, Z. (2007), “Simple Modification to Improve the Finite Sample Properties of Ng and Perron’s Unit Root Tests,” Economics Letters, 94, 12–19. DOI: 10.1016/j.econlet.2006.06.009.
  • Reinhart, C. (2000), “The Mirage of Floating Exchange Rates,” American Economic Review, 90, 65–70. DOI: 10.1257/aer.90.2.65.
  • Reinhart, C., and Rogoff, K. (2004), “The Modern History of Exchange Rate Arrangements: A Reinterpretation,” Quarterly Journal of Economics, 119, 1–48. DOI: 10.1162/003355304772839515.
  • Trokic, M. (2013), “Regulated Fractionally Integrated Processes,” Journal of Time Series Analysis, 34, 591–601.

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