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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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    1. 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.
    2. T. Stengos & E. Zacharias, 2006. "Intertemporal pricing and price discrimination: a semiparametric hedonic analysis of the personal computer market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 371-386, April.
    3. Bullard, James & Keating, John W., 1995. "The long-run relationship between inflation and output in postwar economies," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 477-496, December.
    4. Azariadis, Costas & Smith, Bruce D, 1996. "Private Information, Money, and Growth: Indeterminacy, Fluctuations, and the Mundell-Tobin Effect," Journal of Economic Growth, Springer, vol. 1(3), pages 309-332, September.
    5. Duca, John V. & Rosenthal, Stuart S., 1991. "An empirical test of credit rationing in the mortgage market," Journal of Urban Economics, Elsevier, vol. 29(2), pages 218-234, March.
    6. Theofanis P. Mamuneas & Andreas Savvides & Thanasis Stengos, 2006. "Economic development and the return to human capital: a smooth coefficient semiparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 111-132, January.
    7. 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.
    8. Paula Hernandez-Verme, 2004. "Inflation, growth and exchange rate regimes in small open economies," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 24(4), pages 839-856, November.
    9. Shin-Yi Chou & Jin-Tan Liu & Cliff J. Huang, 2004. "Health insurance and savings over the life cycle-a semiparametric smooth coefficient estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 295-322.
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    More about this item

    Keywords

    non-stationarity; semi-parametric smooth coefficients; nonlinearity; credit rationing;
    All these keywords.

    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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