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Citations for "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching"

by Chang-Jin Kim & Charles R. Nelson

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  1. Marcelle Chauvet & Jeremy M. Piger, 2005. "A comparison of the real-time performance of business cycle dating methods," Working Papers 2005-021, Federal Reserve Bank of St. Louis.
  2. Fabio Canova & Matteo Ciccarelli, 2007. "Estimating Multi-country VAR models," Discussion Papers 7_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
  3. Francis X. Diebold, 1998. "The Past, Present, and Future of Macroeconomic Forecasting," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 175-192, Spring.
  4. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Markov-switching dynamic factor models in real time," Working Papers 1205, Banco de España;Working Papers Homepage.
  5. Kholodilin, Konstantin A. & Yao, Vincent W., 2005. "Measuring and predicting turning points using a dynamic bi-factor model," International Journal of Forecasting, Elsevier, vol. 21(3), pages 525-537.
  6. Mototsugu Shintani, 2004. "A Dynamic Factor Approach to Nonlinear Stability Analysis," Vanderbilt University Department of Economics Working Papers 0418, Vanderbilt University Department of Economics.
  7. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
  8. Liu, Wen-Hsien & Chyi, Yih-Luan, 2006. "A Markov regime-switching model for the semiconductor industry cycles," Economic Modelling, Elsevier, vol. 23(4), pages 569-578, July.
  9. Albrecht Ritschl & Samad Salferaz, 2010. "Crisis?: What crisis?: currency vs. banking in the financial crisis of 1931," LSE Research Online Documents on Economics 28726, London School of Economics and Political Science, LSE Library.
  10. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
  11. Paap, R. & Franses, Ph.H.B.F., 1999. "Do the US and Canada have a common nonlinear cycle in unemployment?," Econometric Institute Research Papers EI 9907-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  12. Shyh-Wei Chen & Chung-Hua Shen, 2006. "Is there a duration dependence in Taiwan's business cycles?," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 109-128.
  13. Michael Dueker & Ada Jacox & David Kalist & Stephen Spurr, 2005. "The Practice Boundaries of Advanced Practice Nurses: An Economic and Legal Analysis," Journal of Regulatory Economics, Springer, vol. 27(3), pages 309-330, 01.
  14. Michael J. Dueker & Andreas M. Fischer, 1997. "The FOMC in 1996: "watchful waiting"," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 7-23.
  15. Charles R. Nelson, 2006. "The Beveridge-Nelson Decomposition in Retrospect and Prospect," Working Papers UWEC-2007-30, University of Washington, Department of Economics.
  16. Leiva-Leon, Danilo, 2013. "Real vs. Nominal Cycles: A Multistate Markov-Switching Bi-Factor Approach," MPRA Paper 54456, University Library of Munich, Germany.
  17. Vítor Castro, 2011. "The Portuguese Stock Market Cycle: Chronology and Duration Dependence," NIPE Working Papers 13/2011, NIPE - Universidade do Minho.
  18. Giordani, Paolo & Kohn, Robert & van Dijk, Dick, 2007. "A unified approach to nonlinearity, structural change, and outliers," Journal of Econometrics, Elsevier, vol. 137(1), pages 112-133, March.
  19. Maheu, John M. & McCurdy, Thomas H., 2000. "Volatility dynamics under duration-dependent mixing," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 345-372, November.
  20. Roberto S. Mariano & Yasutomo Murasawa, 2004. "Constructing a Coincident Index of Business Cycles without Assuming a One-factor Model," Working Papers 22-2004, Singapore Management University, School of Economics, revised Oct 2004.
  21. Mototsugu Shintani, 2010. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Levine's Working Paper Archive 506439000000000168, David K. Levine.
  22. Iiboshi, Hirokuni, 2007. "Duration dependence of the business cycle in Japan: A Bayesian analysis of extended Markov switching model," Japan and the World Economy, Elsevier, vol. 19(1), pages 86-111, January.
  23. Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.
  24. Roberto Casarin & Komla Mawulom Agudze & Monica Billio & Eric Girardin, 2014. "Growth-cycle phases in China�s provinces: A panel Markov-switching approach," Working Papers 2014:19, Department of Economics, University of Venice "Ca' Foscari".
  25. Lahiri, Kajal & Yao, Vincent Wenxiong, 2006. "Economic indicators for the US transportation sector," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 872-887, December.
  26. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
  27. Kajal Lahiri & Wenxiong Yao, 2004. "A dynamic factor model of the coincident indicators for the US transportation sector," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 595-600.
  28. Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
  29. Michael T. Owyang & Garey Ramey, 2003. "Regime switching and monetary policy measurement," Working Papers 2001-002, Federal Reserve Bank of St. Louis.
  30. Chang-Jin Kim & Charles Nelson, 1998. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Working Papers 0059, University of Washington, Department of Economics.
  31. repec:hal:journl:halshs-00423890 is not listed on IDEAS
  32. Tsiaplias, Sarantis, 2008. "Factor estimation using MCMC-based Kalman filter methods," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 344-353, December.
  33. Cruz-Rodríguez, Alexis, 2004. "Un análisis del ciclo económico de la República Dominicana bajo cambios de régimen
    [Analysis of business cycle of the Dominican Republic using Markov Switching model]
    ," MPRA Paper 54352, University Library of Munich, Germany.
  34. Franses, Ph.H.B.F. & Paap, R., 2002. "Common large innovations across nonlinear time series," Econometric Institute Research Papers EI 2002-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  35. Florian Huber & Manfred M. Fischer, 2015. "A Markov switching factor-augmented VAR model for analyzing US business cycles and monetary policy," Department of Economics Working Papers wuwp201, Vienna University of Economics and Business, Department of Economics.
  36. Vítor Castro, 2011. "The Portuguese Business Cycle: Chronology and Duration Dependence," NIPE Working Papers 11/2011, NIPE - Universidade do Minho.
  37. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall & Christopher H. Wheeler, 2007. "The economic performance of cities: a Markov-switching approach," Working Papers 2006-056, Federal Reserve Bank of St. Louis.
  38. Chadwick, Meltem Gülenay & Fazilet, Fatih & Tekatli, Necati, 2015. "Understanding the common dynamics of the emerging market currencies," Economic Modelling, Elsevier, vol. 49(C), pages 120-136.
  39. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.
  40. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013," Working Papers 201429, University of Pretoria, Department of Economics.
  41. Michael J. Dueker & Martin Sola, 2008. "Multivariate Markov switching with weighted regime determination: giving France more weight than Finland," Working Papers 2008-001, Federal Reserve Bank of St. Louis.
  42. Vitor Castro, 2013. "The duration of business cycle expansions and contractions: are there change-points in duration dependence?," Empirical Economics, Springer, vol. 44(2), pages 511-544, April.
  43. James D. Hamilton, 2010. "Calling Recessions in Real Time," NBER Working Papers 16162, National Bureau of Economic Research, Inc.
  44. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
  45. Rodriguez Gabriel, 2007. "Application of Three Alternative Approaches to Identify Business Cycles in Peru," Working Papers 2007-007, Banco Central de Reserva del Perú.
  46. Maximo Camacho & Jaime Martinez-Martin, 2015. "Monitoring the world business cycle," Working Papers 1509, Banco de España;Working Papers Homepage.
  47. Jensen, Mark J. & Liu, Ming, 2006. "Do long swings in the business cycle lead to strong persistence in output?," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 597-611, April.
  48. Drew Creal & Siem Jan Koopman & Eric Zivot, 2010. "Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
  49. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 1210, University of Nevada, Las Vegas , Department of Economics.
  50. Garcia-Ferrer, Antonio & Queralt, Ricardo & Blazquez, Cristina, 2001. "A growth cycle characterisation and forecasting of the Spanish economy: 1970-1998," International Journal of Forecasting, Elsevier, vol. 17(3), pages 517-532.
  51. Muriel Nguiffo-Boyom, 2008. "A monthly indicator of Economic activity for Luxembourg," BCL working papers 31, Central Bank of Luxembourg.
  52. Camacho, Maximo & Pérez-Quirós, Gabriel & Poncela, Pilar, 2012. "Green Shoots and Double Dips in the Euro Area. A Real Time Measure," CEPR Discussion Papers 8896, C.E.P.R. Discussion Papers.
  53. Chew Lian Chua & Sarantis Tsiaplias, 2014. "A Bayesian Approach to Modelling Bivariate Time-Varying Cointegration and Cointegrating Rank," Melbourne Institute Working Paper Series wp2014n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  54. Andrea Carriero & Massimiliano Marcellino, 2007. "A Comparison of Methods for the Construction of Composite Coincident and Leading Indexes for the UK," Working Papers 590, Queen Mary University of London, School of Economics and Finance.
  55. John M. Maheu & Thomas H. McCurdy, 2002. "Nonlinear Features of Realized FX Volatility," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 668-681, November.
  56. Sonia de Lucas Santos & M. Jesús Delgado Rodríguez & Inmaculada Álvarez Ayuso & José Luis Cendejas Bueno, 2011. "Los ciclos económicos internacionales: antecedentes y revisión de la literatura," Cuadernos de Economía - Spanish Journal of Economics and Finance, ELSEVIER, vol. 34(95), pages 73-84, Agosto.
  57. Grace H.Y. Lee, 2009. "Aggregate Shocks Decomposition For Eight East Asian Countries," Monash Economics Working Papers 17-09, Monash University, Department of Economics.
  58. Luke Hartigan, 2015. "Changes in the Factor Structure of the U.S. Economy: Permanent Breaks or Business Cycle Regimes?," Discussion Papers 2015-17, School of Economics, The University of New South Wales.
  59. Uchiyama, Hirokuni, 2006. "The index of agency cost and the financial accelerator: the case of Japan," Japan and the World Economy, Elsevier, vol. 18(1), pages 22-48, January.
  60. Jackson, Laura E. & Kose, M. Ayhan & Otrok, Christopher & Owyang, Michael T., 2015. "Specification and Estimation of Bayesian Dynamic Factor Models: A Monte Carlo Analysis with an Application to Global House Price Comovement," Working Papers 2015-31, Federal Reserve Bank of St. Louis.
  61. Darné, Olivier & Ferrara, Laurent, 2009. "Identification of slowdowns and accelerations for the euro area economy," CEPR Discussion Papers 7376, C.E.P.R. Discussion Papers.
  62. Monokroussos, George, 2015. "Nowcasting in Real Time Using Popularity Priors," MPRA Paper 68594, University Library of Munich, Germany.
  63. Jammazi, Rania & Aloui, Chaker, 2010. "Wavelet decomposition and regime shifts: Assessing the effects of crude oil shocks on stock market returns," Energy Policy, Elsevier, vol. 38(3), pages 1415-1435, March.
  64. Michael Funke & Harm Bandholz, 2003. "In search of leading indicators of economic activity in Germany," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 277-297.
  65. Vítor Castro, 2008. "The duration of economic expansions and recessions: More than duration dependence," NIPE Working Papers 18/2008, NIPE - Universidade do Minho.
  66. Sugita, Katsuhiro, 2008. "Bayesian analysis of a Markov switching temporal cointegration model," Japan and the World Economy, Elsevier, vol. 20(2), pages 257-274, March.
  67. Chen, Shyh-Wei, 2007. "Measuring business cycle turning points in Japan with the Markov Switching Panel model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 263-270.
  68. Shyh-Wei Chen, 2006. "Enhanced reliability of the leading indicator in identifying turning points in Taiwan? an evaluation," Economics Bulletin, AccessEcon, vol. 5(10), pages 1-17.
  69. Mototsugu Shintani & Zi-yi Guo, 2015. "Improving the Finite Sample Performance of Autoregression Estimators in Dynamic Factor Models: A Bootstrap Approach," Vanderbilt University Department of Economics Working Papers 15-00013, Vanderbilt University Department of Economics.
  70. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
  71. Wang, Jin-ming & Gao, Tie-mei & McNown, Robert, 2009. "Measuring Chinese business cycles with dynamic factor models," Journal of Asian Economics, Elsevier, vol. 20(2), pages 89-97, March.
  72. Caballero, Ricardo J. & Panageas, Stavros, 2008. "Hedging sudden stops and precautionary contractions," Journal of Development Economics, Elsevier, vol. 85(1-2), pages 28-57, February.
  73. Francisco Peñaranda, 2003. "Evaluation of joint density forecasts of stock and bond returns: predictability and parameter uncertainty," LSE Research Online Documents on Economics 24857, London School of Economics and Political Science, LSE Library.
  74. J. Polzehl & V. Spokoiny & C. Starica, 2004. "When did the 2001 recession really start?," Econometrics 0411017, EconWPA.
  75. Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
  76. Michael T. Owyang & Jeremy Piger & Howard J. Wall, 2005. "Business Cycle Phases in U.S. States," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 604-616, November.
  77. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Extracting non-linear signals from several economic indicators," Working Papers 1202, Banco de España;Working Papers Homepage.
  78. Toshiya Ishikawa, 2004. "Technology Diffusion and Business Cycle Asymmetry," DEGIT Conference Papers c009_016, DEGIT, Dynamics, Economic Growth, and International Trade.
  79. Mili, Mehdi & Sahut, Jean-Michel & Teulon, Frédéric, 2012. "Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence," Economic Modelling, Elsevier, vol. 29(3), pages 734-741.
  80. Louise Holm, 2015. "The Swedish business cycle, 1969-2013," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing,Centre for International Research on Economic Tendency Surveys, vol. 2015(2), pages 1-22.
  81. Mark W. French, 2005. "A nonlinear look at trend MFP growth and the business cycle: result from a hybrid Kalman/Markov switching model," Finance and Economics Discussion Series 2005-12, Board of Governors of the Federal Reserve System (U.S.).
  82. Maciejowska, Katarzyna, 2013. "Assessing the number of components in a normal mixture: an alternative approach," MPRA Paper 50303, University Library of Munich, Germany.
  83. Terence Mills, 2001. "Business cycle asymmetry and duration dependence: An international perspective," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 713-724.
  84. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
  85. Dagum, Estela Bee, 2010. "Business Cycles and Current Economic Analysis/Los ciclos económicos y el análisis económico actual," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 28, pages 577-594, Diciembre.
  86. Chen, Shyh-Wei & Shen, Chung-Hua, 2007. "A sneeze in the U.S., a cough in Japan, but pneumonia in Taiwan? An application of the Markov-Switching vector autoregressive model," Economic Modelling, Elsevier, vol. 24(1), pages 1-14, January.
  87. Francis X. Diebold & Glenn D. Rudebusch, 2001. "Five questions about business cycles," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.
  88. Bruno, Giancarlo & Otranto, Edoardo, 2008. "Models to date the business cycle: The Italian case," Economic Modelling, Elsevier, vol. 25(5), pages 899-911, September.
  89. Stöber, Jakob & Czado, Claudia, 2014. "Regime switches in the dependence structure of multidimensional financial data," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 672-686.
  90. Dovern, Jonas & Huber, Florian, 2015. "Global prediction of recessions," Economics Letters, Elsevier, vol. 133(C), pages 81-84.
  91. Fiorentini, Gabriele & Planas, Christophe & Rossi, Alessandro, 2016. "Skewness and kurtosis of multivariate Markov-switching processes," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 153-159.
  92. Nicholas Sly & Caroline Weber, 2013. "International Fiscal Policy Coordination and GDP Comovement," CESifo Working Paper Series 4358, CESifo Group Munich.
  93. Sarantis Tsiaplias, 2009. "Examining Feedback, Momentum and Overreaction in National Equity Markets," Melbourne Institute Working Paper Series wp2009n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  94. Gabriel Pérez-Quiros & Maximo Camacho & Pilar Poncela, 2010. "Green Shoots? Where, when and how?," Working Papers 2010-04, FEDEA.
  95. Marcelle Chauvet & Fang Dong, 2004. "Leading indicators of country risk and currency crises: the Asian experience," Economic Review, Federal Reserve Bank of Atlanta, issue Q 1, pages 25 - 37.
  96. Michael T. Owyang & Abbigail J. Chiodo, 2002. "Duration dependence in monetary policy: international evidence," Working Papers 2002-021, Federal Reserve Bank of St. Louis.
  97. Michael T. Owyang, 2002. "Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR," Working Papers 2002-018, Federal Reserve Bank of St. Louis.
  98. Francis W. Ahking, 2015. "Measuring U.S. Business Cycles: A Comparison of Two Methods and Two Indicators of Economic Activities (With Appendix A)," Working papers 2015-06, University of Connecticut, Department of Economics.
  99. Yushu Li & Simon Reese, 2014. "Wavelet improvement in turning point detection using a hidden Markov model: from the aspects of cyclical identification and outlier correction," Computational Statistics, Springer, vol. 29(6), pages 1481-1496, December.
  100. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, Elsevier.
  101. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
  102. Sarantis Tsiaplias, 2007. "A Metropolis-in-Gibbs Sampler for Estimating Equity Market Factors," Melbourne Institute Working Paper Series wp2007n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  103. Katarzyna Maciejowska, 2010. "Estimation Methods Comparison of SVAR Models with a Mixture of Two Normal Distributions," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 2(4), pages 279-314, September.
  104. Gary A. Wagner & Erick Elder, 2007. "How well are the states of the Eighth Federal Reserve District prepared for the next recession?," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 75-87.
  105. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
  106. Wagner, Gary A & Elder, Erick M., 2007. "Revenue Cycles and the Distribution of Shortfalls in U.S. States: Implications for an "Optimal" Rainy Day Fund," National Tax Journal, National Tax Association, vol. 60(4), pages 727-42, December.
  107. Sergey V. Smirnov & Nikolai V. Kondrashov & Anna V. Petronevich, 2016. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," HSE Working papers WP BRP 122/EC/2016, National Research University Higher School of Economics.
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