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What Explains the Lagged Investment Effect?

  • Eberly, Janice
  • Rebelo, Sérgio
  • Vincent, Nicolas

The best predictor of current investment at the firm level is lagged investment. This lagged-investment effect is empirically more important than the cash-flow and Q effects combined. We show that the specification of investment adjustment costs proposed by Christiano, Eichenbaum and Evans (2005) predicts the presence of a lagged-investment effect and that a generalized version of their model is consistent with the behavior of firm-level data from Compustat.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 8309.

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Date of creation: Apr 2011
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Handle: RePEc:cpr:ceprdp:8309
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  1. Mark E. Doms & Timothy Dunne, 1998. "Capital Adjustment Patterns in Manufacturing Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 409-429, April.
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  4. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper Series WP-01-08, Federal Reserve Bank of Chicago.
  5. Giorgio Primiceri & Alejandro Justiniano, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," 2006 Meeting Papers 353, Society for Economic Dynamics.
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  7. Gilchrist, S. & Himmelberg, C.P., 1995. "Evidence on the Role of Cash Flow for Investment," Papers 95-29, Columbia - Graduate School of Business.
  8. R. Glenn Hubbard, 1997. "Capital-Market Imperfections and Investment," NBER Working Papers 5996, National Bureau of Economic Research, Inc.
  9. Gertler, Mark & Kiyotaki, Nobuhiro, 2010. "Financial Intermediation and Credit Policy in Business Cycle Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 11, pages 547-599 Elsevier.
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  14. Damba Lkhagvasuren, 2005. "Big Locational Differences in Unemployment Despite High Labor Mobility," Working Papers 12002, Concordia University, Department of Economics, revised Feb 2012.
  15. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  16. Hayashi, Fumio, 1982. "Tobin's Marginal q and Average q: A Neoclassical Interpretation," Econometrica, Econometric Society, vol. 50(1), pages 213-24, January.
  17. David O Lucca, 2007. "Resuscitating Time-to-Build," 2007 Meeting Papers 909, Society for Economic Dynamics.
  18. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
  19. Lee, Bong-Soo & Ingram, Beth Fisher, 1991. "Simulation estimation of time-series models," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 197-205, February.
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  21. Timothy Erickson & Toni M. Whited, 2000. "Measurement Error and the Relationship between Investment and q," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 1027-1057, October.
  22. Hashmat Khan & Charlotta Groth, 2007. "Investment Adjustment Costs: An Empirical Assessment," Carleton Economic Papers 07-08, Carleton University, Department of Economics, revised Dec 2010.
  23. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
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