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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. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
  2. Franses Philip Hans & Paap Richard, 2013. "Common large innovations across nonlinear time series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 251-263, May.
  3. 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 727-742, December.
  4. 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.
  5. Monokroussos, George, 2015. "Nowcasting in Real Time Using Popularity Priors," MPRA Paper 68594, University Library of Munich, Germany.
  6. 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.
  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. 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.
  9. repec:hal:journl:halshs-00423890 is not listed on IDEAS
  10. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, 08.
  11. Sylvia Kaufmann, 2002. "Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data," Empirical Economics, Springer, vol. 27(2), pages 277-297.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. Kim, Chang-Jin & Nelson, Charles R, 2001. "A Bayesian Approach to Testing for Markov-Switching in Univariate and Dynamic Factor Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 989-1013, November.
  17. Balcilar, Mehmet & Gupta, Rangan & Miller, Stephen M., 2015. "Regime switching model of US crude oil and stock market prices: 1859 to 2013," Energy Economics, Elsevier, vol. 49(C), pages 317-327.
  18. 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.
  19. Owyang, Michael T. & Piger, Jeremy M. & Wall, Howard J. & Wheeler, Christopher H., 2008. "The economic performance of cities: A Markov-switching approach," Journal of Urban Economics, Elsevier, vol. 64(3), pages 538-550, November.
  20. Camacho, Maximo & Martinez-Martin, Jaime, 2015. "Monitoring the world business cycle," Economic Modelling, Elsevier, vol. 51(C), pages 617-625.
  21. Nataša Erjavec & Petar Sorić & Mirjana Čižmešija, 2016. "Predicting the probability of recession in Croatia: Is economic sentiment the missing link?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics, vol. 34(2), pages 555-579.
  22. Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
  23. 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.
  24. Owyang, Michael T. & Ramey, Garey, 2004. "Regime switching and monetary policy measurement," Journal of Monetary Economics, Elsevier, vol. 51(8), pages 1577-1597, November.
  25. Vítor Castro, 2011. "The Portuguese Business Cycle: Chronology and Duration Dependence," NIPE Working Papers 11/2011, NIPE - Universidade do Minho.
  26. Ritschl, Albrecht & Sarferaz, Samad, 2009. "Crisis? What Crisis? Currency vs. Banking in the Financial Crisis of 1931," CEPR Discussion Papers 7610, C.E.P.R. Discussion Papers.
  27. 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.
  28. 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.
  29. Camacho, Maximo & Pérez-Quirós, Gabriel & Poncela, Pilar, 2012. "Markov-switching dynamic factor models in real time," CEPR Discussion Papers 8866, C.E.P.R. Discussion Papers.
  30. 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.
  31. Olivier Darné & Laurent Ferrara, 2011. "Identification of Slowdowns and Accelerations for the Euro Area Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 335-364, 06.
  32. 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.
  33. 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.
  34. 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.
  35. Camacho, Maximo & Perez Quiros, Gabriel & Poncela, Pilar, 2014. "Green shoots and double dips in the euro area: A real time measure," International Journal of Forecasting, Elsevier, vol. 30(3), pages 520-535.
  36. 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.
  37. Shintani, Mototsugu, 2008. "A dynamic factor approach to nonlinear stability analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2788-2808, September.
  38. Louise Holm, 2016. "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.
  39. Nicholas Sly & Caroline Weber, 2013. "International Fiscal Policy Coordination and GDP Comovement," CESifo Working Paper Series 4358, CESifo Group Munich.
  40. Vitor Castro, 2013. "The Portuguese stock market cycle: Chronology and duration dependence," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(1), pages 1-23.
  41. Raffaella Giacomini & Barbara Rossi, 2013. "Forecasting in macroeconomics," Chapters, in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 17, pages 381-408 Edward Elgar Publishing.
  42. Francis X. Diebold & Glenn D. Rudebusch, 2001. "Five questions about business cycles," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.
  43. J. Polzehl & V. Spokoiny & C. Starica, 2004. "When did the 2001 recession really start?," Econometrics 0411017, EconWPA.
  44. Castro, Vítor, 2010. "The duration of economic expansions and recessions: More than duration dependence," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 347-365, March.
  45. 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.
  46. 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.
  47. Muriel Nguiffo-Boyom, 2008. "A monthly indicator of Economic activity for Luxembourg," BCL working papers 31, Central Bank of Luxembourg.
  48. Michael T. Owyang & Abbigail J. Chiodo, 2002. "Duration dependence in monetary policy: international evidence," Working Papers 2002-021, Federal Reserve Bank of St. Louis.
  49. 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.
  50. Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.
  51. Bruno, Giancarlo & Otranto, Edoardo, 2008. "Models to date the business cycle: The Italian case," Economic Modelling, Elsevier, vol. 25(5), pages 899-911, September.
  52. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.
  53. 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.
  54. Maximo Camacho & Gabriel Perez‐Quiros & Pilar Poncela, 2015. "Extracting Nonlinear Signals from Several Economic Indicators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1073-1089, November.
  55. Oglend, Atle & Selland Kleppe, Tore, 2016. "How regular are directional movements in commodity and asset prices? A Wald test," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 290-306.
  56. Shintani, Mototsugu, 2005. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 517-538, June.
  57. Nelson, Charles R., 2008. "The Beveridge-Nelson decomposition in retrospect and prospect," Journal of Econometrics, Elsevier, vol. 146(2), pages 202-206, October.
  58. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
  59. Chauvet, Marcelle & Piger, Jeremy, 2008. "A Comparison of the Real-Time Performance of Business Cycle Dating Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 42-49, January.
  60. 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.
  61. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, Elsevier.
  62. Guérin, Pierre & Leiva-Leon, Danilo, 2014. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," MPRA Paper 59361, University Library of Munich, Germany.
  63. Carriero, Andrea & Marcellino, Massimiliano, 2007. "A comparison of methods for the construction of composite coincident and leading indexes for the UK," International Journal of Forecasting, Elsevier, vol. 23(2), pages 219-236.
  64. 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.
  65. Rodriguez Gabriel, 2007. "Application of Three Alternative Approaches to Identify Business Cycles in Peru," Working Papers 2007-007, Banco Central de Reserva del Perú.
  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. Hamilton, James D., 2011. "Calling recessions in real time," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1006-1026, October.
  68. Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
  69. 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.
  70. 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.
  71. Leiva-Leon Danilo, 2014. "Real vs. nominal cycles: a multistate Markov-switching bi-factor approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 1-24, December.
  72. Toshiya Ishikawa, 2004. "Technology Diffusion and Business Cycle Asymmetry," DEGIT Conference Papers c009_016, DEGIT, Dynamics, Economic Growth, and International Trade.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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".
  79. 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.
  80. Edoardo Otranto, 2005. "The multi-chain Markov switching model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 523-537.
  81. 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.
  82. Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," CESifo Working Paper Series 6457, CESifo Group Munich.
  83. Fossati Sebastian, 2016. "Dating US business cycles with macro factors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 529-547, December.
  84. 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.
  85. 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.
  86. Dovern, Jonas & Huber, Florian, 2015. "Global prediction of recessions," Economics Letters, Elsevier, vol. 133(C), pages 81-84.
  87. 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.
  88. 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.
  89. Gabriel Pérez-Quiros & Maximo Camacho & Pilar Poncela, 2010. "Green Shoots? Where, when and how?," Working Papers 2010-04, FEDEA.
  90. 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.
  91. 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.
  92. 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.
  93. Yasutomo Murasawa & Roberto S. Mariano, 2004. "Constructing a Coincident Index of Business Cycles Without Assuming a One-Factor Model," Econometric Society 2004 Far Eastern Meetings 710, Econometric Society.
  94. 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.
  95. 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.
  96. 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.
  97. 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.
  98. 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.
  99. 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.
  100. 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.
  101. Tsiaplias, Sarantis, 2008. "Factor estimation using MCMC-based Kalman filter methods," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 344-353, December.
  102. 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.
  103. Grace H.Y. Lee, 2009. "Aggregate Shocks Decomposition For Eight East Asian Countries," Monash Economics Working Papers 17-09, Monash University, Department of Economics.
  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. 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.
  106. 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.
  107. Chen, Shyh-Wei & Shen, Chung-Hua, 2006. "When Wall Street conflicts with Main Street--The divergent movements of Taiwan's leading indicators," International Journal of Forecasting, Elsevier, vol. 22(2), pages 317-339.
  108. 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.
  109. 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.
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  111. 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.).
  112. Moradi, Alireza, 2016. "Modeling Business Cycle Fluctuations through Markov Switching VAR:An Application to Iran," MPRA Paper 73608, University Library of Munich, Germany.
  113. 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.
  114. Maciejowska, Katarzyna, 2013. "Assessing the number of components in a normal mixture: an alternative approach," MPRA Paper 50303, University Library of Munich, Germany.
  115. 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.
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  117. Chen, Shyh-Wei & Shen, Chung-Hua, 2006. "Can the identification puzzle of Taiwan's turning points after 1990 be solved?," Economic Modelling, Elsevier, vol. 23(1), pages 174-195, January.
  118. 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.
  119. 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.
  120. David Bock & Eva Andersson & Marianne Frisén, 2005. "Statistical surveillance of cyclical processes with application to turns in business cycles," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 465-490.
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