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A Markov regime-switching model for the semiconductor industry cycles

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  • Liu, Wen-Hsien
  • Chyi, Yih-Luan

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  • 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.
    • Handle: RePEc:eee:ecmode:v:23:y:2006:i:4:p:569-578
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    4. Harald Gruber, 1998. "Learning by Doing and Spillovers: Further Evidence for the Semiconductor Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(6), pages 697-711, December.
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    7. Harald Gruber, 1995. "Market Structure, Learning and Product Innovation: Evidence for the EPROM Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 2(1), pages 87-101.
    8. Albert, James H & Chib, Siddhartha, 1993. "Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 1-15, January.
    9. Simon van Norden & Huntley Schaller & ), 1995. "Regime Switching in Stock Market Returns," Econometrics 9502002, University Library of Munich, Germany.
    10. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    11. Sola, Martin & Driffill, John, 1994. "Testing the term structure of interest rates using a stationary vector autoregression with regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 18(3-4), pages 601-628.
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    Citations

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    Cited by:

    1. Liu, Wen-Hsien & Chung, Ching-Fan & Chang, Kuang-Liang, 2013. "Inventory change, capacity utilization and the semiconductor industry cycle," Economic Modelling, Elsevier, vol. 31(C), pages 119-127.
    2. Iván Cárdenas-Gallo & Raha Akhavan-Tabatabaei & Mauricio Sánchez-Silva & Emilio Bastidas-Arteaga, 2016. "A Markov regime-switching framework to forecast El Niño Southern Oscillation patterns," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 829-843, March.
    3. Wen-Hsien Liu & Shu-Shih Weng, 2018. "On predicting the semiconductor industry cycle: a Bayesian model averaging approach," Empirical Economics, Springer, vol. 54(2), pages 673-703, March.
    4. Aubry, Mathilde & Renou-Maissant, Patricia, 2014. "Semiconductor industry cycles: Explanatory factors and forecasting," Economic Modelling, Elsevier, vol. 39(C), pages 221-231.
    5. Iván Cárdenas-Gallo & Raha Akhavan-Tabatabaei & Mauricio Sánchez-Silva & Emilio Bastidas-Arteaga, 2016. "A Markov regime-switching framework to forecast El Niño Southern Oscillation patterns," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 829-843, March.
    6. Elias, R.S. & Wahab, M.I.M. & Fang, L., 2014. "A comparison of regime-switching temperature modeling approaches for applications in weather derivatives," European Journal of Operational Research, Elsevier, vol. 232(3), pages 549-560.
    7. Tan, Hao & Mathews, John A., 2010. "Identification and analysis of industry cycles," Journal of Business Research, Elsevier, vol. 63(5), pages 454-462, May.
    8. Fomin, M., 2016. "Business cycles and acquisition policy: Analysis of M&A deals of metallurgical companies," Working Papers 6441, Graduate School of Management, St. Petersburg State University.

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