Quantity versus Price Rationing of Credit: An Empirical Test
AbstractOne proxy of price rationing of credit is an aggregation of information on interest rates, while loan officer survey data measures quantity rationing of credit, meaning some borrowers are denied loans. The latter Granger causes real GDP but the former does not. The loan officer survey is a better leading indicator of credit market conditions that affect real activity.
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Bibliographic InfoArticle provided by MDPI, Open Access Journal in its journal International Journal of Financial Studies.
Volume (Year): 1 (2013)
Issue (Month): 3 (July)
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Web page: http://www.mdpi.com/
loan officer survey; quantity rationing of credit; vector autoregression (VAR);
Find related papers by JEL classification:
- G1 - Financial Economics - - General Financial Markets
- G2 - Financial Economics - - Financial Institutions and Services
- G3 - Financial Economics - - Corporate Finance and Governance
- F2 - International Economics - - International Factor Movements and International Business
- F3 - International Economics - - International Finance
- F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
- F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July.
- Sirio Aramonte & Samuel Rosen & John W. Schindler, 2013. "Assessing and combining financial conditions indexes," Finance and Economics Discussion Series 2013-39, Board of Governors of the Federal Reserve System (U.S.).
- Lown, Cara & Morgan, Donald P., 2006.
"The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
- Lown, Cara & Morgan, Donald P., 2004. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," SIFR Research Report Series 27, Institute for Financial Research.
- Kliesen, Kevin L. & Owyang, Michael T. & Vermann, E. Katarina, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
- George A. Waters, 2011.
"Quantity Rationing of Credit,"
Working Paper Series
20111005, Illinois State University, Department of Economics.
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