Evaluating how predictable errors in expected income affect consumption
This article studies whether anomalies in consumption can be explained by a behavioural model in which agents make predictable errors in forecasting income. We use a micro-data set containing subjective expectations about future income. This article shows that the null hypothesis of rational expectations is rejected in favour of the behavioural model, since consumption responds to predictable forecast errors. On average, agents who we predict are too pessimistic increase consumption after the predictable positive income shock. On average, agents who are too optimistic reduce the consumption.
If 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 45 (2013)
Issue (Month): 28 (October)
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAEC20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAEC20|
References listed on IDEAS
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.:
- Marjorie Flavin, 1999. "Robust Estimation of the Joint Consumption / Asset Demand Decision," NBER Working Papers 7011, National Bureau of Economic Research, Inc.
- Dominitz, Jeff, 2001. "Estimation of income expectations models using expectations and realization data," Journal of Econometrics, Elsevier, vol. 102(2), pages 165-195, June.
- Martin Browning & Annamaria Lusardi, 1996.
"Household Saving: Micro Theories and Micro Facts,"
96-01, University of Copenhagen. Department of Economics.
- Jappelli, Tullio & Pistaferri, Luigi, 2000.
"Using subjective income expectations to test for excess sensitivity of consumption to predicted income growth,"
European Economic Review,
Elsevier, vol. 44(2), pages 337-358, February.
- Jappelli, Tullio & Pistaferri, Luigi, 1997. "Using Subjective Income Expectations to Test for Excess Sensitivity of Consumption to Predicted Income Growth," CEPR Discussion Papers 1617, C.E.P.R. Discussion Papers.
- Luigi Pistaferri & Tullio Jappelli, 1998. "Using Subjective Income Expectations to Test for Excess Sensitivity of Consumption to Predicted Income Growth," CSEF Working Papers 12, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Hall, Robert E & Mishkin, Frederic S, 1982.
"The Sensitivity of Consumption to Transitory Income: Estimates from Panel Data on Households,"
Econometric Society, vol. 50(2), pages 461-81, March.
- Robert E. Hall & Frederic S. Mishkin, 1980. "The Sensitivity of Consumption to Transitory Income: Estimates from Panel Data on Households," NBER Working Papers 0505, National Bureau of Economic Research, Inc.
- Jeff Dominitz, 1998. "Earnings Expectations, Revisions, And Realizations," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 374-388, August.
- Christopher D. Carroll, 1992. "The Buffer-Stock Theory of Saving: Some Macroeconomic Evidence," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(2), pages 61-156.
- Sydney Ludvigson & Christina H. Paxson, 1997.
"Approximation bias in linearized Euler equations,"
9712, Federal Reserve Bank of New York.
- Marjorie A. Flavin, 1991. "The Joint Consumption/Asset Demand Decision: A Case Study in Robust Estimation," NBER Working Papers 3802, National Bureau of Economic Research, Inc.
- J. Dominitz & C. F. Manski, .
"Using expectations data to study subjective income expectations,"
Institute for Research on Poverty Discussion Papers
1050-94, University of Wisconsin Institute for Research on Poverty.
- Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," NBER Working Papers 4937, National Bureau of Economic Research, Inc.
- Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," Econometrics 9411003, EconWPA.
- Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-87, December.
- Stephen P. Zeldes, 1989. "Optimal Consumption with Stochastic Income: Deviations from Certainty Equivalence," The Quarterly Journal of Economics, Oxford University Press, vol. 104(2), pages 275-298.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:45:y:2013:i:28:p:4004-4021. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.