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Nonlinear Time Series Analysis of Business Cycles Book

Nonlinear Time Series Analysis of Business Cycles
Nonlinear Time Series Analysis of Business Cycles, , Nonlinear Time Series Analysis of Business Cycles has a rating of 3.5 stars
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  • Nonlinear Time Series Analysis of Business Cycles
  • Written by author Costas Milas
  • Published by Emerald Group Publishing, March 2006
  • The business cycle has long been the focus of empirical economic research. Until recently statistical analysis of macroeconomic fluctuations was dominated by linear time series methods. Over the past 15 years, however, economists have increasingly applied
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Authors

Ch. 1Dating business cycle turning points1
Ch. 2Combining predictors & combining information in modelling : forecasting us recession probabilities and output growth55
Ch. 3The importance of nonlinearity in reproducing business cycle features75
Ch. 4The vector floor and ceiling model97
Ch. 5A new framework to analyze business cycle synchronization133
Ch. 6Non-linearity and instability in the euro area151
Ch. 7Nonlinear modelling of autoregressive structural breaks in some U.S. macroeconomic series175
Ch. 8Trend-cycle decomposition models with smooth-transition parameters : evidence from U.S. economics time series199
Ch. 9Modeling inflation and money demand using a Fourier-series approximation221
Ch. 10Random walk smooth transition autoregressive models247
Ch. 11Nonlinearity and structural change in interest rate reaction functions for the US, UK and Germany283
Ch. 12State asymmetries in the effects of monetary policy shocks on output : some new evidence for the euro-area311
Ch. 13Non-linear dynamics in output, real exchange rates and real money balances : Norway, 1830-2003333
Ch. 14A predictive comparison of some simple long- and short memory models of daily U.S. stock returns, with emphasis on business cycle effects379
Ch. 15Nonlinear modeling of the changing lag structure in U.S. housing construction407


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