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

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  • 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.

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Bibliographic Info

Paper provided by Universidad de Guanajuato, Department of Economics and Finance in its series Department of Economics and Finance Working Papers with number EM200902.

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Length: 24 pages
Date of creation: Aug 2009
Date of revision:
Handle: RePEc:gua:wpaper:em200902

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Keywords: non-stationarity; semi-parametric smooth coefficients; nonlinearity; credit rationing;

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  1. Petrick, Martin, 2003. "Empirical measurement of credit rationing in agriculture: a methodological survey," IAMO Discussion Papers 45, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
  2. A. Senhadji Semlali & Mohsin S. Khan, 2000. "Threshold Effects in the Relationship Between inflation and Growth," IMF Working Papers 00/110, International Monetary Fund.
  3. Stengos, T. & Zacharias, E., 2003. "Intertemporal Pricing and Price Discrimination: A Semiparametric Hedonic Analysis of the Personal Computer Market," Working Papers 2003-9, University of Guelph, Department of Economics and Finance.
  4. Li, Qi, et al, 2002. "Semiparametric Smooth Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 412-22, July.
  5. Xiao, Zhijie, 2009. "Functional-coefficient cointegration models," Journal of Econometrics, Elsevier, vol. 152(2), pages 81-92, October.
  6. Cai, Zongwu & Li, Qi & Park, Joon Y., 2009. "Functional-coefficient models for nonstationary time series data," Journal of Econometrics, Elsevier, vol. 148(2), pages 101-113, February.
  7. Jansen, Dennis W. & Li, Qi & Wang, Zijun & Yang, Jian, 2008. "Fiscal policy and asset markets: A semiparametric analysis," Journal of Econometrics, Elsevier, vol. 147(1), pages 141-150, November.
  8. Allen N. Berger & Gregory F. Udell, 1990. "Some evidence on the empirical significance of credit rationing," Finance and Economics Discussion Series 105, Board of Governors of the Federal Reserve System (U.S.).
  9. Hernandez-Verme, Paula, 2002. "Inflation, Growth and Exchange Rate Regimes in Small Open Economies," MPRA Paper 16699, University Library of Munich, Germany, revised Aug 2009.
  10. Jeff Racine & Qi Li & Xi Zhu, 2004. "Kernel Estimation of Multivariate Conditional Distributions," Annals of Economics and Finance, Society for AEF, vol. 5(2), pages 211-235, November.
  11. 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.
  12. Mamuneas, T.P. & Savvides, A. & Stengos, T., 2002. "Economic Development and the Return to Human Capital: A Smooth Coefficient Semiparametric Approach," Working Papers 2002-14, University of Guelph, Department of Economics and Finance.
  13. 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.
  14. 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.
  15. Badi H. Baltagi & Dong Li, . "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Working Papers 0109, East Carolina University, Department of Economics.
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