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Bayesian Analysis of an Unobserved-Component Time Series Model of GDP with Markov-Switching and Time-Varying Growths
6 references·2 citing·32 second hop
Bayesian Analysis of an Unobserved-Component Time Series Model of GDP with Markov-Switching and Time-Varying Growths (1999)Bayesian Analysis of an Unobserved-Compon…7. Regime Switching with Time-Varying Transition Probabilities (1999)7. Regime Switching with Time…STATISTICAL ANALYSIS OF ECONOMIC TIME SERIES VIA MARKOV SWITCHING MODELS (1994)STATISTICAL ANALYSIS OF ECONO…On the Periodic Structure of the Business Cycle (1994)On the Periodic Structure of …Business-Cycle Phases and Their Transitional Dynamics (1994)Business-Cycle Phases and The…Business-Cycle Analysis With a Markov-Switching Model (1993)Business-Cycle Analysis With …A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)A New Approach to the Economi…Principal Components as a Measure of Systemic Risk (2010)Principal Components as a Mea…Asymmetry in the Business Cycle: Friedman's Plucking Model with Correlated Innovations (2005)Asymmetry in the Business Cyc…New Indexes of Coincident and Leading Economic Indicators (1989)The federal funds rate and the channels of monetary transmission (1989)Stock market volatility and the business cycle (1996)Vulnerable Growth (2019)The General Theory of Employment, Interest and Money. (1936)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Construction Business Cycle Analysis Using the Regime Switching Model (2011)An Unobserved Components Model that Yields Business and Medium‐Run Cycles (2013)Recession-specific recoveries: L’s, U’s and everything in between (2021)Are Economic Time Series Asymmetric over the Business Cycle? (1984)A comparison of the forecast performance of Markov‐switching and threshold autoregressive models of US GNP (1998)Periodic Time Series Models (2004)A model of carbon price interactions with macroeconomic and energy dynamics (2011)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Trends and random walks in macroeconmic time series (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)ARCH modeling in finance (1992)Introductory Econometrics for Finance (2008)Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model (1987)Volatility dependence and contagion in emerging equity markets (2001)Principal Components as a Measure of Systemic Risk (2011)Extreme Correlation of International Equity Markets (2001)International Asset Allocation With Regime Shifts (2002)Systemic risk and spatiotemporal dynamics of the US housing market (2014)Systemic Risk and the Macroeconomy: An Empirical Evaluation (2015)Application of Principal Component Analysis on Perceived Barriers to Youth Entrepreneurship (2020)Modeling the conditional distribution of interest rates as a regime-switching process (1996)Business Cycle Turning Points, A New Coincident Index, and Tests of Duration Dependence Based on a Dynamic Factor Model With Regime Switching (1998)Regime Changes and Financial Markets (2012)A Bayesian Approach To Testing for Markov‐Switching in Univariate and Dynamic Factor Models (2001)Gold as an inflation hedge in a time-varying coefficient framework (2012)What causes price volatility and regime shifts in the natural gas market (2013)
this work references cited by second hop

References

  • 1989A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle9,681 cited
  • 1994Business-Cycle Phases and Their Transitional Dynamics883 cited
  • 19997. Regime Switching with Time-Varying Transition Probabilities450 cited
  • 1993Business-Cycle Analysis With a Markov-Switching Model213 cited
  • 1994STATISTICAL ANALYSIS OF ECONOMIC TIME SERIES VIA MARKOV SWITCHING MODELS144 cited
  • 1994On the Periodic Structure of the Business Cycle129 cited

Cited by

  • 2010Principal Components as a Measure of Systemic Risk46 cited
  • 2005Asymmetry in the Business Cycle: Friedman's Plucking Model with Correlated Innovations22 cited

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