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Recursive solution methods for dynamic linear rational expectations models

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  • Watson, Mark W.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 41 (1989)
Issue (Month): 1 (May)
Pages: 65-89

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Handle: RePEc:eee:econom:v:41:y:1989:i:1:p:65-89

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Web page: http://www.elsevier.com/locate/jeconom

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Cited by:
  1. Francesco Carravetta & Marco Sorge, 2010. "A “Nearly Ideal” Solution to Linear Time-Varying Rational Expectations Models," Computational Economics, Society for Computational Economics, vol. 35(4), pages 331-353, April.
  2. Preston J. Miller & Will Roberds, 1989. "How little we know about budget policy effects," Staff Report 120, Federal Reserve Bank of Minneapolis.
  3. Najand, Mohammad & Noronha, Gregory, 1998. "Causal relations among stock returns, inflation, real activity, and interest rates: Evidence from Japan," Global Finance Journal, Elsevier, vol. 9(1), pages 71-80.
  4. Ricardo Reis & Mark W. Watson, 2010. "Relative Goods' Prices, Pure Inflation, and the Phillips Correlation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 128-57, July.
  5. Radosław Cholewiński, 2009. "Real-Time Market Abuse Detection with a Stochastic Parameter Model," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 1(3), pages 261-284, November.
  6. Francis Vitek, 2005. "An Unobserved Components Model of the Monetary Transmission Mechanism in a Small Open Economy," Macroeconomics 0512019, EconWPA, revised 04 Feb 2006.
  7. Michael R. Pakko, 2002. "What Happens When the Technology Growth Trend Changes?: Transition Dynamics, Capital Growth and the 'New Economy'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 376-407, April.
  8. Carlos Pérez Montes, 2013. "Estimation of Regulatory Credit Risk Models," Banco de Espa�a Working Papers 1305, Banco de Espa�a.
  9. Alkulaib, Yaser A. & Najand, Mohammad & Mashayekh, Ahmad, 2009. "Dynamic linkages among equity markets in the Middle East and North African countries," Journal of Multinational Financial Management, Elsevier, vol. 19(1), pages 43-53, February.
  10. Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
  11. Casals, Jose & Sotoca, Sonia, 1997. "Exact initial conditions for maximum likelihood estimation of state space models with stochastic inputs," Economics Letters, Elsevier, vol. 57(3), pages 261-267, December.
  12. Yoshihiko Tsukuda & Tatsuyoshi Miyakoshi & Junji Shimada, 2005. "Dynamic Efficiency in the East European Emerging Markets," Asia-Pacific Financial Markets, Springer, vol. 12(2), pages 159-179, June.
  13. Casals, Jose & Sotoca, Sonia & Jerez, Miguel, 1999. "A fast and stable method to compute the likelihood of time invariant state-space models," Economics Letters, Elsevier, vol. 65(3), pages 329-337, December.
  14. Francis Vitek, 2005. "An Unobserved Components Model of the Monetary Transmission Mechanism in a Closed Economy," Macroeconomics 0512018, EconWPA, revised 04 Feb 2006.

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