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Testing for integration using evolving trend and seasonals models: A Bayesian approach
15 references·4 citing·42 second hop
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References

  • 1992Testing the null hypothesis of stationarity against the alternative of a unit root12,634 cited
  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 1998Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models2,265 cited
  • 1990Seasonal integration and cointegration1,475 cited
  • 1988Variable Trends in Economic Time Series673 cited
  • 1991To criticize the critics: An objective bayesian analysis of stochastic trends325 cited
  • 1993Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates307 cited
  • 1994A Consistent Test for a Unit Root303 cited
  • 1995Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability275 cited
  • 1996Periodicity and Stochastic Trends In Economic Time Series244 cited
  • 1999Dynamic Asymmetries in U.S. Unemployment185 cited
  • 1991On Bayesian routes to unit roots169 cited
  • 1997On the use of panel data in stochastic frontier models with improper priors152 cited
  • 1991The Temporal Stability of Dividends and Stock Prices: Evidence from the Likelihood Function93 cited
  • 1992‘Objective’ bayesian unit root tests

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  • 2006Chapter 7 Forecasting with Unobserved Components Time Series Models91 cited
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  • 2007Bayesian Analysis of the Output Gap35 cited
  • 2015Business and Financial Cycles: an estimation of cycles’ length focusing on Macroprudential Policy17 cited