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Citations for "Non-stationary hours in a DSGE model"

by Yongsung Chang & Taeyoung Doh & Frank Schorfheide

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  1. Fabio Canova & Filippo Ferroni, 2010. "The dynamics of US inflation: Can monetary policy explain the changes?," Economics Working Papers 1241, Department of Economics and Business, Universitat Pompeu Fabra.
  2. Fabio Canova & Tobias Menz, 2011. "Does Money Matter in Shaping Domestic Business Cycles? An International Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 577-607, 06.
  3. Zanetti, Francesco, 2008. "Labor and investment frictions in a real business cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3294-3314, October.
  4. Canova, Fabio, 2014. "Bridging DSGE models and the raw data," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 1-15.
  5. Kim, Bae-Geun, 2010. "Identifying a permanent markup shock and its implications for macroeconomic dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1471-1491, August.
  6. Canova, Fabio & Menz, Tobias, 2009. "Japan's Lost Decade: Does Money have a Role?," CEPR Discussion Papers 7608, C.E.P.R. Discussion Papers.
  7. Pierre Lafourcade & Joris de Wind, 2012. "Taking Trends Seriously in DSGE Models: An Application to the Dutch Economy," DNB Working Papers 345, Netherlands Central Bank, Research Department.
  8. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
  9. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2012. "A Pitfall with DSGE-Based, Estimated, Government Spending Multipliers," TSE Working Papers 12-289, Toulouse School of Economics (TSE).
  10. Fève, Patrick & Guay, Alain, 2009. "Identification of Technology Shocks in Structural VARs," TSE Working Papers 09-028, Toulouse School of Economics (TSE).
  11. Fabio Canova & Tobias Menz, 2010. "Does Money Matter in Shaping Domestic Business Cycles? An International Investigation (with appendices)," Working Papers 516, Barcelona Graduate School of Economics.
  12. Taeyoung Doh, 2009. "Yield curve in an estimated nonlinear macro model," Research Working Paper RWP 09-04, Federal Reserve Bank of Kansas City.
  13. Mumtaz, Haroon & Zanetti, Francesco, 2015. "Factor adjustment costs: A structural investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 341-355.
  14. Federico S. Mandelman & Francesco Zanetti, 2008. "Technology shocks, employment, and labor market frictions," FRB Atlanta Working Paper 2008-10, Federal Reserve Bank of Atlanta.
  15. Canova, Fabio, 2013. "Bridging DSGE Models and the raw data," CEPR Discussion Papers 9379, C.E.P.R. Discussion Papers.
  16. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "Désinflation et chômage dans la zone euro: une analyse à l'aide d'un modèle VAR structurel," TSE Working Papers 09-014, Toulouse School of Economics (TSE).
  17. Fabio Canova & Filippo Ferroni, 2009. "Multiple filtering devices for the estimation of cyclical DSGE models," Economics Working Papers 1135, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2010.
  18. Sean Holly & Ivan Petrella, . " Factor demand linkages and the business cycle: interpreting aggregate fluctuations as sectoral fluctuations," CDMA Conference Paper Series 0809, Centre for Dynamic Macroeconomic Analysis.
  19. Amélie Charles & Olivier Darné & Fabien Tripier, 2015. "Are unit root tests useful in the debate over the (non)stationarity of hours worked?," Post-Print hal-01101618, HAL.
  20. Holly, S. & Petrella, I., 2008. "Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations," Cambridge Working Papers in Economics 0827, Faculty of Economics, University of Cambridge.
  21. Peter N. Ireland & Scott Schuh, 2006. "Productivity and U.S. macroeconomic performance: interpreting the past and predicting the future with a two-sector real business cycle model," Working Papers 06-10, Federal Reserve Bank of Boston.
  22. Martial Dupaigne & Patrick Feve & Julien Matheron, 2007. "Technology Shocks, Non-stationary Hours and DSVAR," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 238-255, April.
  23. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," 2009 Meeting Papers 1034, Society for Economic Dynamics.
  24. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "Une estimation de la cible implicite d’inflation dans la zone euro," TSE Working Papers 09-137, Toulouse School of Economics (TSE).
  25. Hirata, Hideaki, 2014. "Preference shocks, international frictions, and international business cycles," Journal of Asian Economics, Elsevier, vol. 34(C), pages 92-104.
  26. Cristiano Cantore & Filippo Ferroni & Miguel A León-Ledesma, 2012. "Interpreting the Hours-Technology time-varying relationship," Studies in Economics 1201, School of Economics, University of Kent.
  27. Marco Lombardi & Silvia Sgherri, 2007. "(Un)naturally Low? Sequential Monte Carlo Tracking of the US Natural Interest Rate," DNB Working Papers 142, Netherlands Central Bank, Research Department.
  28. Chaudourne, Jeremy & Fève, Patrick & Guay, Alain, 2012. "Understanding the Effect of Technology Shocks in SVARs with Long-Run Restrictions," IDEI Working Papers 738, Institut d'Économie Industrielle (IDEI), Toulouse.
  29. Massimo Franchi & Paolo Paruolo, 2015. "Minimality of State Space Solutions of DSGE Models and Existence Conditions for Their VAR Representation," Computational Economics, Society for Computational Economics, vol. 46(4), pages 613-626, December.
  30. Federico S. Mandelman & Francesco Zanetti, 2008. "Estimating general equilibrium models: an application with labour market frictions," Technical Books, Centre for Central Banking Studies, Bank of England, edition 1, number 1, November.
  31. Peter N. Ireland, 2008. "On the Welfare Cost of Inflation and the Recent Behavior of Money Demand," NBER Working Papers 14098, National Bureau of Economic Research, Inc.
  32. Taeyoung Doh, 2012. "What Does the Yield Curve Tell Us about the Federal Reserve’s Implicit Inflation Target?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 469-486, 03.
  33. Peter N. Ireland, 2009. "Stochastic Growth in the United States and Euro Area," Boston College Working Papers in Economics 713, Boston College Department of Economics, revised 01 Aug 2010.
  34. Cristiano Cantore & Filippo Ferroni & Miguel A. León-Ledesma, 2012. "The dynamics of hours worked and technology," Working Papers 1238, Banco de España;Working Papers Homepage.
  35. Wolters, Maik H., 2016. "How the baby boomers' retirement wave distorts model-based output gap estimates," Kiel Working Papers 2031, Kiel Institute for the World Economy (IfW).
  36. Jean-Philippe Cayen & Marc-André Gosselin & Sharon Kozicki, 2009. "Estimating DSGE-Model-Consistent Trends for Use in Forecasting," Staff Working Papers 09-35, Bank of Canada.
  37. Fuentes-Albero, Cristina, 2007. "Technology Shocks, Statistical Models, and The Great Moderation," MPRA Paper 3589, University Library of Munich, Germany.
  38. Nora Traum & Shu-Chun Susan Yang, 2010. "Does Government Debt Crowd Out Investment? A Bayesian DSGE Approach: Working Paper 2010-02," Working Papers 21397, Congressional Budget Office.
  39. Patrick F?ve & Julien Matheron & Jean-Guillaume Sahuc, 2013. "A Pitfall with Estimated DSGE-Based Government Spending Multipliers," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 141-78, October.
  40. Joao Madeira, 2013. "Assessing the empirical relevance of Walrasian labor frictions to business cycle fluctuations," Discussion Papers 1304, Exeter University, Department of Economics.
  41. Michal Andrle & Tibor Hledik & Ondra Kamenik & Jan Vlcek, 2009. "Implementing the New Structural Model of the Czech National Bank," Working Papers 2009/2, Czech National Bank, Research Department.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.