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    題名: Modelling Business Cycles in Taiwan with Time-Varying Markov-Switching Models
    其他題名: 臺灣景氣循環之探討:變動移轉機率馬可夫轉換模型之應用
    作者: Chen, Shyh-Wei;Lin, Jin-Lung
    陳仕偉;林金龍
    貢獻者: 經濟系
    關鍵詞: 馬可夫轉換模型;景氣循環;領先指標;同時指標
    Markov-switching model;Time-varying transition probability;Taiwan business cycle;Leading index;Coincident index
    日期: 2000-03
    上傳時間: 2015-10-12 11:46:03 (UTC+8)
    摘要: 本文應用變動移轉機率馬可夫轉換模型,以分析同時指標及領先指標是否有助於台灣經濟景氣循環轉折點之認定及經濟成長之預測。變動移轉機率模型較固定移轉機率模型更具有彈性,可以處理景氣轉折前後移轉機率的變動。實證結果發現同時指標與領先指標有助於景氣循環轉折點之預測,而且同時指標有助於經濟成長的預測而領先指標則無此效果。
    This paper employs Hamilton’s (1989) original Markov-switching model and the time-varying Markov-switching model developed by Filardo (1994), respectively, to investigate the business cycle and evaluate the usefulness of the coincident and leading indexes in dating the business cycle and in predicting future GDP in Taiwan. The empirical results suggest that these two indexes help date the business cycle in Taiwan and improve precision in predicting turning points. As for forecasting future GDP, the coincident index is useful whereas the leading index is not.
    關聯: 經濟論文, 28(1), 17-42
    Academia Economic Papers, 28(1), 17-42
    資料類型: article
    顯示於類別:[經濟學系] 期刊論文

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