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Estimating the Euler equation for output

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  • Jeffrey C. Fuhrer
  • Glenn D. Rudebusch

Abstract

New Keynesian macroeconomic models have generally emphasized that expectations of future output are a key factor in determining current output. The theoretical motivation for such forward-looking behavior relies on a straightforward generalization of the well-known Euler equation for consumption. In this paper, we use maximum likelihood and generalized method of moments (GMM) methods to explore the empirical importance of output expectations. We find little evidence that rational expectations of future output help determine current output, especially after taking into account the small-sample bias in GMM.

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Bibliographic Info

Paper provided by Federal Reserve Bank of Boston in its series Working Papers with number 02-3.

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Date of creation: 2002
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Handle: RePEc:fip:fedbwp:02-3

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Keywords: Keynesian economics ; Consumption (Economics);

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References

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  1. Nelson, Charles R & Startz, Richard, 1990. "The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One," The Journal of Business, University of Chicago Press, vol. 63(1), pages S125-40, January.
  2. Glenn D. Rudebusch, 2000. "Assessing nominal income rules for monetary policy with model and data uncertainty," Working Paper Series 2000-03, Federal Reserve Bank of San Francisco.
  3. Evan F. Koenig, 1993. "Rethinking the IS in IS-LM: adapting Keynesian tools to non-Keynesian economies Part 1," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Sep, pages 32-50.
  4. Svensson, Lars E. O., 1999. "Inflation targeting as a monetary policy rule," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 607-654, June.
  5. McCallum, Bennett T. & Nelson, Edward, 1998. "Nominal Income Targeting in an Open-Economy Optimizing Model," Seminar Papers 644, Stockholm University, Institute for International Economic Studies.
  6. Arturo Estrella & Jeffrey C. Fuhrer, 2003. "Monetary Policy Shifts and the Stability of Monetary Policy Models," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 94-104, February.
  7. Lars E. O. Svensson, 1997. "Inflation Targeting: Some Extensions," NBER Working Papers 5962, National Bureau of Economic Research, Inc.
  8. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.
  9. Nelson, C. & Startz, R., 1988. "Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator," Working Papers 88-06, University of Washington, Department of Economics.
  10. 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.
  11. Casares, Miguel & McCallum, Bennett T., 2006. "An optimizing IS-LM framework with endogenous investment," Journal of Macroeconomics, Elsevier, vol. 28(4), pages 621-644, December.
  12. Jeff Fuhrer & Arturo Estrella, 1999. "Are 'Deep' Parameters Stable? The Lucas Critique as an Empirical Hypothesis," Computing in Economics and Finance 1999 621, Society for Computational Economics.
  13. Julio J. Rotemberg & Michael Woodford, 1999. "Interest Rate Rules in an Estimated Sticky Price Model," NBER Chapters, in: Monetary Policy Rules, pages 57-126 National Bureau of Economic Research, Inc.
  14. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information: A Model of Monetary Nonneutrality and Structural Slumps," Harvard Institute of Economic Research Working Papers 1941, Harvard - Institute of Economic Research.
  15. Marvin Goodfriend & Robert G. King, 1998. "The new neoclassical synthesis and the role of monetary policy," Working Paper 98-05, Federal Reserve Bank of Richmond.
  16. Alastair R. Hall & Atsushi Inoue, 2005. "The Large Sample Behaviour of the Generalized Method of Moments Estimator in Misspecified Models," Econometrics 0505002, EconWPA.
  17. Karl Whelan & Jeremy Rudd, 2003. "Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?," Computing in Economics and Finance 2003 181, Society for Computational Economics.
  18. Richard Clarida & Jordi Gali & Mark Gertler, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," NBER Working Papers 7147, National Bureau of Economic Research, Inc.
  19. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
  20. Arturo Estrella & Jeffrey C. Fuhrer, 2002. "Dynamic Inconsistencies: Counterfactual Implications of a Class of Rational-Expectations Models," American Economic Review, American Economic Association, vol. 92(4), pages 1013-1028, September.
  21. Fuhrer, Jeffrey C, 1997. "The (Un)Importance of Forward-Looking Behavior in Price Specifications," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 338-50, August.
  22. Smets, Frank, 2000. "What horizon for price stability," Working Paper Series 0024, European Central Bank.
  23. Anderson, Gary & Moore, George, 1985. "A linear algebraic procedure for solving linear perfect foresight models," Economics Letters, Elsevier, vol. 17(3), pages 247-252.
  24. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
  25. John Shea, 1996. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," NBER Technical Working Papers 0193, National Bureau of Economic Research, Inc.
  26. Kenneth D. West & David W. Wilcox, 1993. "Some evidence on finite sample behavior of an instrumental variables estimator of the linear quadratic inventory model," Finance and Economics Discussion Series 93-29, Board of Governors of the Federal Reserve System (U.S.).
  27. Oliner, Stephen & Rudebusch, Glenn & Sichel, Daniel, 1995. "New and Old Models of Business Investment: A Comparison of Forecasting Performance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 806-26, August.
  28. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
  29. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, 05.
  30. Michael Woodford, 1996. "Control of the Public Debt: A Requirement for Price Stability?," NBER Working Papers 5684, National Bureau of Economic Research, Inc.
  31. Jeffrey Fuhrer & George Moore & Scott Schuh, 1993. "Estimating the linear-quadratic inventory model: maximum likelihood versus generalized method of moments," Finance and Economics Discussion Series 93-11, Board of Governors of the Federal Reserve System (U.S.).
  32. Fuhrer, Jeffrey C & Moore, George R, 1995. "Monetary Policy Trade-offs and the Correlation between Nominal Interest Rates and Real Output," American Economic Review, American Economic Association, vol. 85(1), pages 219-39, March.
  33. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  34. Evan F. Koenig, 1993. "Rethinking the IS in IS-LM: adapting Keynesian tools to non-Keynesian economies Part 2," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Dec, pages 17-35.
  35. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(02), pages 222-240, April.
  36. Oliner, Stephen D. & Rudebusch, Glenn D. & Sichel, Daniel, 1996. "The Lucas critique revisited assessing the stability of empirical Euler equations for investment," Journal of Econometrics, Elsevier, vol. 70(1), pages 291-316, January.
  37. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, July.
  38. Alastair R. Hall & Glenn D. Rudebusch & David W. Wilcox, 1994. "Judging instrument relevance in instrumental variables estimation," Finance and Economics Discussion Series 94-3, Board of Governors of the Federal Reserve System (U.S.).
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