IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for "Time-to-build, time-to-plan, habit-persistence, and the liquidity effect"

by Rochelle M. Edge

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
  2. James M. Nason & Takashi Kano, 2004. "Business Cycle Implications of Habit Formation," Computing in Economics and Finance 2004 175, Society for Computational Economics.
  3. Jean Boivin & Marc P. Giannoni, 2003. "Has Monetary Policy Become More Effective?," NBER Working Papers 9459, National Bureau of Economic Research, Inc.
  4. M. Bambi & G. Fabbri & F. Gozzi, 2012. "Optimal policy and consumption smoothing effects in the time-to-build AK model," Economic Theory, Springer, vol. 50(3), pages 635-669, August.
  5. Erceg, Christopher J. & Levin, Andrew T., 2003. "Imperfect credibility and inflation persistence," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 915-944, May.
  6. Christopher A. Sims & Tao Zha, 2004. "Were there regime switches in U.S. monetary policy?," Working Paper 2004-14, Federal Reserve Bank of Atlanta.
  7. Jonathan Chiu, 2007. "Endogenously Segmented Asset Market in an Inventory Theoretic Model of Money Demand," Working Papers 07-46, Bank of Canada.
  8. Amato, Jeffery D. & Laubach, Thomas, 2004. "Implications of habit formation for optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 305-325, March.
  9. Graham, Liam, 2008. "Consumption habits and labor supply," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 382-395, March.
  10. Lars E.O. Svensson & Michael Woodford, 2004. "Implementing Optimal Policy through Inflation-Forecast Targeting," NBER Chapters, in: The Inflation-Targeting Debate, pages 19-92 National Bureau of Economic Research, Inc.
  11. Jonathan N. Millar & Stephen D. Oliner & Daniel E. Sichel, 2013. "Time-To-Plan Lags for Commercial Construction Projects," NBER Working Papers 19408, National Bureau of Economic Research, Inc.
  12. Sustek, Roman, 2009. "Monetary Aggregates and the Business Cycle," MPRA Paper 17202, University Library of Munich, Germany.
  13. Casares, Miguel, 2006. "Time-to-build, monetary shocks, and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1161-1176, September.
  14. Casares, Miguel, 2002. "Time-to-build approach in a sticky price, sticky wage optimizing monetary model," Working Paper Series 0147, European Central Bank.
  15. John M. Roberts, 2005. "Using structural shocks to identify models of investment," Finance and Economics Discussion Series 2005-69, Board of Governors of the Federal Reserve System (U.S.).
  16. Marianna Riggi, 2010. "Nominal And Real Wage Rigidities In New Keynesian Models: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 539-572, 07.
  17. Marc Giannoni & Michael Woodford, 2004. "Optimal Inflation-Targeting Rules," NBER Chapters, in: The Inflation-Targeting Debate, pages 93-172 National Bureau of Economic Research, Inc.
  18. Christopher Sims & Tao Zha, 2002. "Macroeconomic switching," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  19. Kirsanova, Tatiana & Satchi, Mathan & Vines, David, 2004. "Monetary Union: Fiscal Stabilization In The Face of Asymmetric Shocks," CEPR Discussion Papers 4433, C.E.P.R. Discussion Papers.
  20. Tsoukalas, John, 2009. "Time to Build Capital: Revisiting Investment-Cash Flow Sensitivities," MPRA Paper 18640, University Library of Munich, Germany.
  21. Yamin Ahmad, 2002. "Money Market Rates and Implied CCAPM Rates: Some International Evidence," Working Papers gueconwpa~02-02-06, Georgetown University, Department of Economics.
  22. Kevin X. D. Huang, 2005. "Specific factors meet intermediate inputs: implications for strategic complementarities and persistence," Working Papers 04-7, Federal Reserve Bank of Philadelphia.
  23. Yong-gook Jung, 2013. "A new strategy to estimate time-to-build completion rates," Economics Bulletin, AccessEcon, vol. 33(2), pages 1073-1081.
  24. Keen, Benjamin D., 2004. "In search of the liquidity effect in a modern monetary model," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1467-1494, October.
  25. Batini, Nicoletta & Nelson, Edward, 2001. "The Lag from Monetary Policy Actions to Inflation: Friedman Revisited," International Finance, Wiley Blackwell, vol. 4(3), pages 381-400, Winter.
  26. Jung, Yong-Gook, 2013. "An inference about the length of the time-to-build period," Economic Modelling, Elsevier, vol. 33(C), pages 42-54.
  27. Kevin Huang, 2006. "Specific factors meet intermediate inputs: implications for the persistence problem," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(3), pages 483-507, July.
  28. Miguel Casares, 2007. "The New Keynesian Model and the Euro Area Business Cycle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 209-244, 04.
  29. Tor Einarsson & Milton H. Marquis, 2002. "Banks, bonds, and the liquidity effect," Economic Review, Federal Reserve Bank of San Francisco, pages 35-50.
  30. Piti Disyatat, 2008. "Monetary policy implementation: Misconceptions and their consequences," BIS Working Papers 269, Bank for International Settlements.
  31. Richard K. Lyons, 2002. "Foreign exchange: macro puzzles, micro tools," Economic Review, Federal Reserve Bank of San Francisco, pages 51-69.
  32. Tommy Sveen & Lutz Weinke, 2004. "New Perspectives on Capital and Sticky Prices," Working Paper 2004/03, Norges Bank.
  33. Richard Mash, 2002. "Monetary Policy with an Endogenous Capital Stock when Inflation is Persistent," Economics Series Working Papers 108, University of Oxford, Department of Economics.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.