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Generalized Method of Moments and Macroeconomics

Author

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  • Hansen, Bruce E
  • West, Kenneth D

Abstract

We consider the contribution to the analysis of economic time series of the generalized method-of-moments estimator introduced by Hansen. We outline the theoretical contribution, conduct a small-scale literature survey, and discuss some ongoing theoretical research.

Suggested Citation

  • Hansen, Bruce E & West, Kenneth D, 2002. "Generalized Method of Moments and Macroeconomics," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 460-469, October.
  • Handle: RePEc:bes:jnlbes:v:20:y:2002:i:4:p:460-69
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    References listed on IDEAS

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    1. repec:cup:etheor:v:11:y:1995:i:1:p:105-21 is not listed on IDEAS
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    10. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(01), pages 105-121, February.
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    Cited by:

    1. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42 Edward Elgar Publishing.
    2. Fritsche, Ulrich, 2006. "Ergebnisse der ökonometrischen Untersuchung zum Forschungsprojekt Wirtschaftspolitische Regime westlicher Industrienationen," Working Papers 24, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    3. Hsu, Shih-Hsun & Kuan, Chung-Ming, 2011. "Estimation of conditional moment restrictions without assuming parameter identifiability in the implied unconditional moments," Journal of Econometrics, Elsevier, vol. 165(1), pages 87-99.
    4. Daniel S Kanda, 2006. "Credit Flows, Fiscal Policy, and the External Deficit of Bosnia and Herzegovina," IMF Working Papers 06/276, International Monetary Fund.
    5. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    6. Oleg Korenok & Stanislav Radchenko, 2006. "The role of permanent and transitory components in business cycle volatility moderation," Empirical Economics, Springer, vol. 31(1), pages 217-241, March.
    7. Markku Lanne & Pentti Saikkonen, 2011. "GMM Estimation with Non‐causal Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(5), pages 581-592, October.
    8. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    9. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    10. Stanislav Anatolyev, 2007. "Optimal Instruments In Time Series: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 143-173, February.
    11. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    12. Josef Arlt & Miroslav Plašil, 2005. "Empirical Testing of New Keynesian Phillips Curve in Conditions of the Czech Republic in 1994 - 2003," Prague Economic Papers, University of Economics, Prague, vol. 2005(2), pages 117-129.
    13. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.
    14. Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2010. "Evaluating German business cycle forecasts under an asymmetric loss function," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, pages 1-18.
    15. Ming-Tao Chou & Ya - Ling Yang & Su-Chiung Chang, 2012. "A Study of the Dynamic Relationship between Crude Oil Price and the Steel Price Index," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 30-42, May.
    16. Ulf von Kalckreuth, 2003. "Exploring the role of uncertainty for corporate investment decisions in Germany," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(II), pages 173-206, June.
    17. Travaglini, Guido, 2008. "Dynamic GMM Estimation With Structural Breaks. An Application to Global Warming and its Causes," MPRA Paper 7108, University Library of Munich, Germany.
    18. Lee, Yoonsuk & Brorsen, B. Wade, 2012. "Impacts of Permanent and Transitory Shocks on Optimal Length of Moving Average to Predict Wheat Basis," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125001, Agricultural and Applied Economics Association.
    19. Alastair R. Hall, 2013. "Generalized Method of Moments," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 14, pages 313-333 Edward Elgar Publishing.
    20. Erika Gulyas & Richard Startz, 2005. "The Tradeoff between Inflation and the Real Economy: Forward-Looking Behavior and the Inflation Premium," Working Papers UWEC-2005-25, University of Washington, Department of Economics.
    21. Chen, Song Xi & Cui, Hengjian, 2007. "On the second-order properties of empirical likelihood with moment restrictions," Journal of Econometrics, Elsevier, vol. 141(2), pages 492-516, December.
    22. Travaglini, Guido, 2010. "Dynamic Econometric Testing of Climate Change and of its Causes," MPRA Paper 23600, University Library of Munich, Germany.
    23. Jesus M. Garcia-Iglesias & Rebeca Muñoz Torres & George Saridakis, 2013. "Did the Bank of Mexico follow a systematic behaviour in its transition to an inflation targeting regime?," Applied Financial Economics, Taylor & Francis Journals, vol. 23(14), pages 1205-1213, July.
    24. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.

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