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  • 标题:A Semiparametric Time Trend Varying Coefficients Model: With an Application to Evaluate Credit Rationing in U.S. Creditmarket
  • 本地全文:下载
  • 作者:Qi Gao ; Jingping Gu ; Paula Hernandez-verme
  • 期刊名称:Annals of Economics and Finance
  • 电子版ISSN:1529-7373
  • 出版年度:2012
  • 卷号:13
  • 期号:01
  • 出版社:Peking University Press
  • 摘要:

    In this paper, we propose a new semiparametric varying coefficient model
    which extends the existing semi-parametric varying coefficient models to allow
    for a time trend regressor with smooth coefficient function. We propose to use
    the local linear method to estimate the coefficient functions and we provide the
    asymptotic theory to describe the asymptotic distribution of the local linear
    estimator. We present an application to evaluate credit rationing in the U.S.
    credit market. Using U.S. monthly data (1952.1-2008.1) and using inflation as
    the underlying state variable, we find that credit is not rationed for levels of
    inflation that are either very low or very high; and for the remaining values of
    inflation, we find that credit is rationed and the Mundell-Tobin effect holds.

  • 关键词:Non-stationarity; Semi-parametric smooth coefficients; Nonlinearity;Credit rationing
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