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Generalized Method of Moments and Macroeconomics

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Author Info

  • 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.

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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 20 (2002)
Issue (Month): 4 (October)
Pages: 460-69

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Handle: RePEc:bes:jnlbes:v:20:y:2002:i:4:p:460-69

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Cited by:
  1. von Kalckreuth, Ulf, 2000. "Exploring the role of uncertainty for corporate investment decisions in Germany," Discussion Paper Series 1: Economic Studies 2000,05, Deutsche Bundesbank, Research Centre.
  2. 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.
  3. Stanislav Anatolyev, 2007. "Optimal Instruments In Time Series: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 143-173, 02.
  4. Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function," Macroeconomics and Finance Series 200905, Hamburg University, Department Wirtschaft und Politik.
  5. 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.
  6. Daniel Kanda, 2006. "Credit Flows, Fiscal Policy, and the External Deficit of Bosnia and Herzegovina," IMF Working Papers 06/276, International Monetary Fund.
  7. 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.
  8. Travaglini, Guido, 2010. "Dynamic Econometric Testing of Climate Change and of its Causes," MPRA Paper 23600, University Library of Munich, Germany.
  9. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
  10. 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.
  11. 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.
  12. 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.
  13. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.
  14. 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.
  15. 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.
  16. Fritsche, Ulrich, 2006. "Ergebnisse der ökonometrischen Untersuchung zum Forschungsprojekt Wirtschaftspolitische Regime westlicher Industrienationen," Working Papers 24, Institute of Management Berlin (IMB), Berlin School of Economics and Law.

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