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Estimating Euler equations with noisy data: two exact GMM estimators

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  • Sule Alan
  • Orazio Attanasio
  • Martin Browning

Abstract

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.
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Suggested Citation

  • Sule Alan & Orazio Attanasio & Martin Browning, 2009. "Estimating Euler equations with noisy data: two exact GMM estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 309-324, March.
  • Handle: RePEc:jae:japmet:v:24:y:2009:i:2:p:309-324
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    References listed on IDEAS

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    1. repec:bla:obuest:v:79:y:2017:i:5:p:717-746 is not listed on IDEAS
    2. Alexis Akira Toda & Kieran James Walsh, 2017. "Fat tails and spurious estimation of consumption‐based asset pricing models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1156-1177, September.
    3. Antoine Bozio & Guy Laroque & Cormac O’Dea, 2017. "Discount rate heterogeneity among older households: a puzzle?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(2), pages 647-680, April.
    4. Sule Alan & Kadir Atalay & Thomas F. Crossley, 2012. "Euler Equation Estimation on Micro Data," Koç University-TUSIAD Economic Research Forum Working Papers 1221, Koc University-TUSIAD Economic Research Forum.
    5. Quintana-Domeque, Climent & Wohlfart, Johannes, 2016. "“Relative concerns for consumption at the top”: An intertemporal analysis for the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 172-194.
    6. Naeem Ahmed & Matthew Brzozowski & Thomas F. Crossley, 2005. "Measurement Errors in Recall Food Expenditure Data," Quantitative Studies in Economics and Population Research Reports 396, McMaster University.
    7. Keshav Dogra & Olga Gorbachev, 2016. "Consumption Volatility, Liquidity Constraints and Household Welfare," Economic Journal, Royal Economic Society, vol. 126(597), pages 2012-2037, November.
    8. Natalia, Khorunzhina & Wayne Roy, Gayle, 2011. "Heterogenous intertemporal elasticity of substitution and relative risk aversion: estimation of optimal consumption choice with habit formation and measurement errors," MPRA Paper 34329, University Library of Munich, Germany.
    9. Thomas H. Jørgensen, 2017. "Life-Cycle Consumption and Children: Evidence from a Structural Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 717-746, October.
    10. Ghiglino, Christian & Tabasso, Nicole, 2016. "Risk aversion in a model of endogenous growth," Journal of Mathematical Economics, Elsevier, vol. 64(C), pages 30-40.
    11. Einian, Majid & Nili, Masoud, 2016. "Consumption Smoothing and Borrowing Constraints: Evidence from Household Surveys of Iran," MPRA Paper 72461, University Library of Munich, Germany.
    12. Sule Alan & Martin Browning, 2010. "Estimating Intertemporal Allocation Parameters using Synthetic Residual Estimation," Review of Economic Studies, Oxford University Press, vol. 77(4), pages 1231-1261.
    13. Irina Khvostova & Alexander Larin & Anna Novak, 2014. "Euler equation with habits and measurement errors: estimates on Russian micro data," HSE Working papers WP BRP 52/EC/2014, National Research University Higher School of Economics.
    14. Olga Gorbachev, 2011. "Did Household Consumption Become More Volatile?," American Economic Review, American Economic Association, vol. 101(5), pages 2248-2270, August.
    15. Jørgensen, Thomas H., 2013. "Structural estimation of continuous choice models: Evaluating the EGM and MPEC," Economics Letters, Elsevier, vol. 119(3), pages 287-290.
    16. repec:voj:journl:v:63:y:2016:i:4:p:395-409 is not listed on IDEAS
    17. Larin, Alexander & Novak, Anna & Khvostova, Irina, 2013. "Consumption dynamics in Russia: Estimates on microdata," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 32(4), pages 29-44.
    18. Shih-Chuan Tsai, 2012. "Liquidity and Yield Curve Estimation," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(5), pages 4-24, September.
    19. Shih-Chuan Tsai, 2012. "Liquidity and Yield Curve Estimation," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(5), pages 4-24, September.
    20. Sadat, Nafis, 2015. "Estimation of International Financial Integration: Evidence from European Countries," MPRA Paper 66283, University Library of Munich, Germany, revised 25 Aug 2015.
    21. Naeem Ahmed & Matthew Brzozowski & Thomas Crossley, 2006. "Measurement errors in recall food consumption data," IFS Working Papers W06/21, Institute for Fiscal Studies.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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