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Citations for "On Bayesian routes to unit roots"

by Peter C. Schotman & Herman K. van Dijk

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Cited by (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.):
  1. John Geweke, 1992. "Priors for macroeconomic time series and their application," Discussion Paper / Institute for Empirical Macroeconomics 64, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  2. K. Patterson, 2007. "Bias Reduction through First-order Mean Correction, Bootstrapping and Recursive Mean Adjustment," Journal of Applied Statistics, Taylor and Francis Journals, vol. 34(1), pages 23-45, January. [Downloadable!] (restricted)
  3. Valentina Corradi & Norman R. Swanson, 2003. "The Effect of Data Transformation on Common Cycle, Cointegration and Unit Root Tests: Monte Carlo Results and a Simple Test," Departmental Working Papers 200322, Rutgers University, Department of Economics. [Downloadable!]
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  4. R. Paap & H.K. van Dijk, 2002. "Bayes estimates of Markov trends in possibly cointegrated series," Econometric Institute Report 295, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
  5. Bierens, H., 1995. "Nonparametric cointegration analysis," Discussion Paper 123, Tilburg University, Center for Economic Research. [Downloadable!]
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  6. Katsumi Shimotsu, 2006. "Exact Local Whittle Estimation of Fractional Integration with Unknown Mean and Time Trend," Working Papers 1061, Queen's University, Department of Economics. [Downloadable!]
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  7. Philip Rothman, 1999. "Time Series Evidence on Whether Adjustment to Long-Run Equilibrium is Asymmetric," Working Papers 9904, East Carolina University, Department of Economics. [Downloadable!]
  8. Lupi, Claudio, 2009. "Covariate Augmented Dickey-Fuller Tests with R," Economics & Statistics Discussion Papers esdp09051, University of Molise, Dept. SEGeS. [Downloadable!]
  9. Gary Koop, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Working Papers gkoop-95-01, University of Toronto, Department of Economics. [Downloadable!]
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  10. repec:att:wimass:19199826 is not listed on IDEAS
  11. Gary Koop & Herman K. van Dijk & Henk Hoek, 1997. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 97-078/4, Tinbergen Institute. [Downloadable!]
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  12. Olivier Darné & Amélie Charles, 2009. "Large shocks in U.S. macroeconomic time series: 1860–1988," Working Papers hal-00422502_v1, HAL. [Downloadable!]
  13. Amit Sen, 2004. "Are US macroeconomic series difference stationary or trend-break stationary?," Applied Economics, Taylor and Francis Journals, vol. 36(18), pages 2025-2029, October. [Downloadable!] (restricted)
  14. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," UWO Department of Economics Working Papers 20025, University of Western Ontario, Department of Economics. [Downloadable!]
  15. Peter C.B. Phillips, 1992. "Bayesian Model Selection and Prediction with Empirical Applications," Cowles Foundation Discussion Papers 1023, Cowles Foundation, Yale University. [Downloadable!]
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  16. Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  17. Bierens, H.J., 1996. "Nonparametric nonlinear cotrending analysis, with an application to interest and inflation in the U.S," Discussion Paper 62, Tilburg University, Center for Economic Research. [Downloadable!]
  18. Zhijie Xiao & Peter C.B. Phillips, 1997. "An ADF Coefficient Test for a Unit Root in ARMA Models of Unknown Order with Empirical Applications to the U.S. Economy," Cowles Foundation Discussion Papers 1161, Cowles Foundation, Yale University. [Downloadable!]
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  19. Kleibergen, F. & Hoek, H., 1995. "Bayesian analysis of ARMA models using noninformative priors," Discussion Paper 116, Tilburg University, Center for Economic Research. [Downloadable!]
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  20. Draisma, Gerrit & Kaashoek, Johan F. & Dijk, Herman van, 1995. "A neural network applied to economic time series," Discussion Paper 128, Erasmus University Rotterdam, Faculty of Economics. [Downloadable!]
  21. Ramsey, J.B. & Rothman, P., 1993. "Time Irreversibility and Business Cycle Asymmetry," Working Papers 93-39, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
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  22. Olivier Darné & Amélie Charles, 2008. "The impact of outliers on transitory and permanent components in macroeconomic time series," Economics Bulletin, Economics Bulletin, vol. 3(60), pages 1-9. [Downloadable!]
  23. Johan F. Kaashoek & Herman K. van Dijk, 1997. "A Simple Strategy to prune Neural Networks with an Application to Economic Time Series," Tinbergen Institute Discussion Papers 97-123/4, Tinbergen Institute. [Downloadable!]
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  24. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650. [Downloadable!]
  25. Ricardo Gonçalves Silva, 2004. "Bayesian Semiparametric Regression for Autoregressive Models with Possible Unit Roots," Econometrics 0405002, EconWPA. [Downloadable!]
  26. N Terui & HK van Dijk, 1999. "Combined forecasts from linear and nonlinear time series models," Econometric Institute Report 172, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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  27. Katsumi Shimotsu & Peter C.B. Phillips, 2000. "Local Whittle Estimation in Nonstationary and Unit Root Cases," Cowles Foundation Discussion Papers 1266, Cowles Foundation, Yale University, revised Sep 2003. [Downloadable!]
Did you know? RePEc stands for Research Papers in Economics.

This page was last updated on 2009-11-20.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.