English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49378/84106 (59%)
造訪人次 : 7368780      線上人數 : 83
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/23902

    題名: Scale of variance, unit of data and the power of unit root tests under structural changes - a strategy for analysing Nelson-Plosser data
    作者: 張萌旭;Chang, Meng-shiuh;胡登淵;Hu, Teng-yuan
    貢獻者: 淡江大學產業經濟學系
    日期: 2006-01
    上傳時間: 2009-11-30 17:58:14 (UTC+8)
    出版者: Taylor & Francis
    摘要: Lee and Strazicich (LS) designed a state-of-the-art statistic for testing for a unit root under structural changes. Using Monte Carlo experiments on the Nelson and Plosser data, this present study analyses the effects of scale of variance and data unit on the size-adjusted power of the LS unit root test. It is found that under the null and the alternative hypotheses of unit root shifts from right to left, the goodness of fit of the statistic worsens, and the power increases systematically when the scale of variance increases from 0.01 w to w and from w to 100 w (w being a weighting factor). The power increases when the data unit is reduced to one tenth and per cent (i.e. one hundredth) except for the Industrial Production Index, Total Unemployment Rate and Nominal Wages. To achieve the goal of higher power and better goodness of fit in the LS test, results suggest using the original variance rather than the best goodness-of-fit variance, changing the data unit to per cent, or using a mixed strategy selecting the data unit corresponding to a higher power for each data series.
    關聯: Applied Economics Letters 13(1), pp.51-56
    DOI: 10.1080/13504850500378213
    顯示於類別:[產業經濟學系暨研究所] 期刊論文


    檔案 大小格式瀏覽次數



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋