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A Semiparametric Time Trend Varying Coefficients Model: With An Application to Evaluate Credit Rationing in U.S. Credit Market

Author

Listed:
  • Jingping Gu

    (Department of Economics, University of Arkansas)

  • Paula Hernandez-Verme

    (Department of Economics and Finance, Universidad de Guanajuato)

Abstract

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. For the remaining values of inflation in the sample, we find that credit is rationed and the Mundell-Tobin effect holds.

Suggested Citation

  • Jingping Gu & Paula Hernandez-Verme, 2009. "A Semiparametric Time Trend Varying Coefficients Model: With An Application to Evaluate Credit Rationing in U.S. Credit Market," Department of Economics and Finance Working Papers EM200902, Universidad de Guanajuato, Department of Economics and Finance.
    • Handle: RePEc:gua:wpaper:em200902
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    References listed on IDEAS

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    6. David, Drukker & Pedro, Gomis-Porqueras & Paula, Hernandez -erme, 2005. "Threshold effects in the relationship between inflation and growth: a new panel-data approach," MPRA Paper 38225, University Library of Munich, Germany.
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    13. Martin Petrick, 2005. "Empirical measurement of credit rationing in agriculture: a methodological survey," Agricultural Economics, International Association of Agricultural Economists, vol. 33(2), pages 191-203, September.
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    2. Emilio Munene Gachoki, 2023. "The Impact of Financial Development on Inflation: Empirical Evidence from Kenya using the ARDL Approach," International Journal of Science and Business, IJSAB International, vol. 28(1), pages 147-160.
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    4. Yan Li & Liangjun Su & Yuewu Xu, 2015. "A Combined Approach to the Inference of Conditional Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.

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    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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