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Cotrending and the stationarity of the real interest rate

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  • Chapman, David A.
  • Ogaki, Masao

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  • Chapman, David A. & Ogaki, Masao, 1993. "Cotrending and the stationarity of the real interest rate," Economics Letters, Elsevier, vol. 42(2-3), pages 133-138.
  • Handle: RePEc:eee:ecolet:v:42:y:1993:i:2-3:p:133-138
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    References listed on IDEAS

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    1. Ram, Rati, 1988. "Inflation and relative-price variability : Effect of temporal aggregation," Economics Letters, Elsevier, vol. 28(2), pages 141-146.
    2. Stanley Fischer, 1981. "Relative Shocks, Relative Price Variability, and Inflation," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 12(2), pages 381-442.
    3. Lucas, Robert E, Jr, 1973. "Some International Evidence on Output-Inflation Tradeoffs," American Economic Review, American Economic Association, vol. 63(3), pages 326-334, June.
    4. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-174, January.
    5. Eytan Sheshinski & Yoram Weiss, 1977. "Inflation and Costs of Price Adjustment," Review of Economic Studies, Oxford University Press, vol. 44(2), pages 287-303.
    6. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    7. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    8. A. R. Pagan & A. D. Hall & P. K. Trivedi, 1983. "Assessing the Variability of Inflation," Review of Economic Studies, Oxford University Press, vol. 50(4), pages 585-596.
    9. Tobin, James, 1972. "Inflation and Unemployment," American Economic Review, American Economic Association, vol. 62(1), pages 1-18, March.
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    Cited by:

    1. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    2. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    3. Joseph E. Gagnon, 2008. "Inflation regimes and inflation expectations," Review, Federal Reserve Bank of St. Louis, issue May, pages 229-243.
    4. Massmann, Michael, 2007. "Cobra: A package for co-breaking analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 663-679, October.
    5. Joseph, Nathan Lael, 2003. "Predicting returns in U.S. financial sector indices," International Journal of Forecasting, Elsevier, vol. 19(3), pages 351-367.
    6. Ogaki, Masao & Park, Joon Y., 1997. "A cointegration approach to estimating preference parameters," Journal of Econometrics, Elsevier, pages 107-134.
    7. Matthew T. Holt & Timo Teräsvirta, 2012. "Global Hemispheric Temperature Trends and Co–Shifting: A Shifting Mean Vector Autoregressive Analysis," CREATES Research Papers 2012-54, Department of Economics and Business Economics, Aarhus University.
    8. Marco Centoni & Gianluca Cubadda, 2011. "Modelling comovements of economic time series: a selective survey," Statistica, Department of Statistics, University of Bologna, pages 267-294.
    9. Luis A. Gil-Alana & Andrea Mervar & James E. Payne, 2017. "The stationarity of inflation in Croatia: anti-inflation stabilization program and the change in persistence," Economic Change and Restructuring, Springer, vol. 50(1), pages 45-58, February.
    10. Chang, Tsangyao & Ranjbar, Omid & Tang, D.P., 2013. "Revisiting the mean reversion of inflation rates for 22 OECD countries," Economic Modelling, Elsevier, vol. 30(C), pages 245-252.
    11. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.

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