Estimating Euler Equations with Noisy Data: Two Exact GMM Estimators
In this paper we exploit the specific structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The first estimator assumes that the measurement error is lognormally distributed. The second estimator drops the distributional assumption and solves out for the unknown, but constant, conditional mean. Our Monte Carlo results suggest that both proposed estimators perform much better than conventional alternatives based on the exact Euler equation or its log-linear approximation, especially with short panels.
|Date of creation:||May 2005|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (45) 35 32 30 74
Fax: +45 35 32 30 00
Web page: http://www.econ.ku.dk/CAM/
More information through EDIRC
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.:
- Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
- Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May.
- 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.
- Orazio Attanasio & Hamish Low, 2002.
"Estimating Euler equations,"
IFS Working Papers
W02/06, Institute for Fiscal Studies.
- Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-86, September.
- Martin Browning & Annamaria Lusardi, 1995.
"Household Saving: Micro Theories and Micro Facts,"
Department of Economics Working Papers
1995-02, McMaster University.
- Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June.
- Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
- Runkle, David E., 1991. "Liquidity constraints and the permanent-income hypothesis : Evidence from panel data," Journal of Monetary Economics, Elsevier, vol. 27(1), pages 73-98, February.
- Attanasio, O.P. & Browning, M.J., 1993.
"Consumption over the life cycle and over the business cycle,"
1993-14, Tilburg University, Center for Economic Research.
- Attanasio, Orazio P & Browning, Martin, 1995. "Consumption over the Life Cycle and over the Business Cycle," American Economic Review, American Economic Association, vol. 85(5), pages 1118-37, December.
- Attanasio, O.P. & Browning, M., 1993. "Consumption Over the Life Cycle and Over the Business Cycle," Papers 9314, Tilburg - Center for Economic Research.
- Orazio P. Attanasio & Martin Browning, 1993. "Consumption over the Life Cycle and over the Business Cycle," NBER Working Papers 4453, National Bureau of Economic Research, Inc.
- Hausman, Jerry A. & Newey, Whitney K. & Ichimura, Hidehiko & Powell, James L., 1991. "Identification and estimation of polynomial errors-in-variables models," Journal of Econometrics, Elsevier, vol. 50(3), pages 273-295, December.
- Amemiya, Yasuo, 1985. "Instrumental variable estimator for the nonlinear errors-in-variables model," Journal of Econometrics, Elsevier, vol. 28(3), pages 273-289, June.
- Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.
- J. A. Hausman & W. K. Newey & J. L. Powel, 1988.
"Nonlinear Errors in Variables: Estimation of Some Engel Curves,"
504, Massachusetts Institute of Technology (MIT), Department of Economics.
- Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
- James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
- Sule Alan & Martin Browning, 2003. "Estimating Intertemporal Allocation Parameters using Simulated Residual Estimation," CAM Working Papers 2003-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
- Hong, Han & Tamer, Elie, 2003. "A simple estimator for nonlinear error in variable models," Journal of Econometrics, Elsevier, vol. 117(1), pages 1-19, November.
- Altonji, Joseph G & Siow, Aloysius, 1987.
"Testing the Response of Consumption to Income Changes with (Noisy) Panel Data,"
The Quarterly Journal of Economics,
MIT Press, vol. 102(2), pages 293-328, May.
- Joseph G. Altonji & Aloysius Siow, 1986. "Testing the Response of Consumption to Income Changes with (Noisy) PanelData," NBER Working Papers 2012, National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:kud:kuieca:2005_10. 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: (Thomas Hoffmann)
If references are entirely missing, you can add them using this form.