English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49199/83641 (59%)
Visitors : 7094982      Online Users : 62
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/23740


    Title: Estimation of Taiwan's binary monetary policy reaction function
    Authors: 黃河泉;Huang, Ho-chuan;Shen, Chung-hua
    Contributors: 淡江大學財務金融學系
    Keywords: Money;Policy;Taiwan;Narratives;Algorithms
    Date: 2002
    Issue Date: 2009-11-30 17:51:32 (UTC+8)
    Publisher: Emerald
    Abstract: This paper proposes a probit regression with autocorrelated errors (PAR) to estimate the reaction function of monetary policy in Taiwan using newly constructed binary monetary indicators. We develop a practical sampling scheme via the Gibbs sampling algorithm with data augmentation to make posterior inference of the binary monetary policy reaction function. In contrast to the conventional approach, our method avoids the problem of multiple integrals by directly drawing values of latent variables from the relevant full conditional density along with all the other parameters. Empirical results show that the monetary authority responds to macroeconomic conditions asymmetrically. Specifically, in the high‐inflation regime, a contractionary monetary policy is implemented to reduce the inflation rate. Once inflation is under control, that is, in the low‐inflation regime, attention is paid to stimulating the growth of the economy.
    Relation: Journal of Economic Studies 29(2-3), pp.222-239
    DOI: 10.1108/01443580210433598
    Appears in Collections:[財務金融學系暨研究所] 期刊論文

    Files in This Item:

    File SizeFormat
    0KbUnknown481View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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