Credit Constraints, Learning and Aggregate Consumption Volatility
AbstractThis paper documents three empirical facts. First, the volatility of consumption growth relative to income growth rose from 1947-1960 and then fell dramatically by 50 percent from the 1960s to the 1990s. Second, the correlation between consumption growth and personal income growth fell by about 50 percent over the same time period. Finally, the absolute deviation of consumption growth from its mean exhibits one break in U.S. data, and the mean of the absolute deviations has fallen by about 30 percent. First, I find that a standard dynamic, stochastic general equilibrium model is unable to explain these facts. Then, I examine the ability of two hypotheses: a fall in credit constraints and changing beliefs about the permanence of income shocks to account for these facts. I find evidence for both explanations and the beliefs explanation is more consistent with the data. Importantly, I find that estimated changes in beliefs about the permanence of income shocks have significant explanatory power for consumption changes.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Brandeis University, Department of Economics and International Businesss School in its series Working Papers with number 06.
Length: 34 pages
Date of creation: Nov 2007
Date of revision: Nov 2009
Consumption; Business Fluctuations; Learning;
Other versions of this item:
- Daniel L. Tortorice, 2010. "Credit Constraints, Learning, and Aggregate Consumption Volatility," 2010 Meeting Papers 738, Society for Economic Dynamics.
- E21 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
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.:
- Perron, P. & Bai, J., 1995.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Cahiers de recherche
9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
- Fatih Guvenen, 2006.
"Learning your earning: are labor income shocks really very persistent?,"
Discussion Paper / Institute for Empirical Macroeconomics
145, Federal Reserve Bank of Minneapolis.
- Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
- Fatih Guvenen, 2005. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," Macroeconomics 0507004, EconWPA.
- Mark Aguiar & Gita Gopinath, 2004.
"Emerging market business cycles: the cycle is the trend,"
04-4, Federal Reserve Bank of Boston.
- Mark Aguiar & Gita Gopinath, 2007. "Emerging Market Business Cycles: The Cycle Is the Trend," Journal of Political Economy, University of Chicago Press, vol. 115, pages 69-102.
- Mark Aguiar & Gita Gopinath, 2004. "Emerging Market Business Cycles: The Cycle is the Trend," NBER Working Papers 10734, National Bureau of Economic Research, Inc.
- Stephen G Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2005.
"Assessing the Sources of Changes in the Volatility of Real Growth,"
RBA Annual Conference Volume,
in: Christopher Kent & David Norman (ed.), The Changing Nature of the Business Cycle
Reserve Bank of Australia.
- Stephen G. Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2006. "Assessing the Sources of Changes in the Volatility of Real Growth," NBER Working Papers 11946, National Bureau of Economic Research, Inc.
- Karen E. Dynan & Douglas W. Elmendorf & Daniel E. Sichel, 2005.
"Can financial innovation help to explain the reduced volatility of economic activity?,"
Finance and Economics Discussion Series
2005-54, Board of Governors of the Federal Reserve System (U.S.).
- Dynan, Karen E. & Elmendorf, Douglas W. & Sichel, Daniel E., 2006. "Can financial innovation help to explain the reduced volatility of economic activity?," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 123-150, January.
- Jushan Bai & Pierre Perron, 2003.
"Computation and analysis of multiple structural change models,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
- Tom Doan, . "RATS programs to replicate examples of Bai-Perron procedure," Statistical Software Components RTZ00008, Boston College Department of Economics.
- Tom Doan, . "BAIPERRON: RATS procedure to perform Bai-Perron Test for Multiple Structural Changes," Statistical Software Components RTS00013, Boston College Department of Economics.
- Tom Doan, . "MULTIPLEBREAKS: RATS procedure to perform multiple structural change analysis," Statistical Software Components RTS00138, Boston College Department of Economics.
- BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Meredith Robitaille).
If references are entirely missing, you can add them using this form.