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Citations for "Dynamic pricing and imperfect common knowledge"

by Nimark, Kristoffer

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  1. F. Alvarez & F. Lippi & L. Paciello, 2010. "Optimal price setting with observation and menu costs," 2010 Meeting Papers 478, Society for Economic Dynamics.
  2. Leon W. Berkelmans, 2008. "Imperfect information and monetary models: multiple shocks and their consequences," Finance and Economics Discussion Series 2008-58, Board of Governors of the Federal Reserve System (U.S.).
  3. George-Marios Angeletos & Luigi Iovino & Jennifer La'O, 2011. "Cycles, Gaps, and the Social Value of Information," NBER Working Papers 17229, National Bureau of Economic Research, Inc.
  4. Bernardo Guimaraes & Caio Machado & Marcel Ribeiro, 2016. "A Model of the Confidence Channel of Fiscal Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(7), pages 1363-1395, October.
  5. Ken Kuttner & Tim Robinson, 2008. "Understanding the Flattening Phillips Curve," Department of Economics Working Papers 2008-15, Department of Economics, Williams College.
  6. Gabriel Desgranges & Stéphane Gauthier, 2011. "Privileged Information Exacerbates Market Volatility," Working Papers 2011-14, Centre de Recherche en Economie et Statistique.
  7. Guimarães, Bernardo de Vasconcellos & Machado, Caio Henrique, 2015. "Demand expectations and the timing of stimulus policies," Textos para discussão 379, Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
  8. Guido Lorenzoni, 2006. "A Theory of Demand Shocks," NBER Working Papers 12477, National Bureau of Economic Research, Inc.
  9. Francesco Bianchi & Leonardo Melosi, 2016. "Modeling The Evolution Of Expectations And Uncertainty In General Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57, pages 717-756, 05.
  10. Mäkinen, Taneli & Ohl, Björn, 2012. "Information Acquisition and Learning from Prices Over the Business Cycle," SSE/EFI Working Paper Series in Economics and Finance 740, Stockholm School of Economics, revised 11 Nov 2012.
  11. Leonardo Melosi, 2014. "Signaling Effects of Monteray Policy," 2014 Meeting Papers 830, Society for Economic Dynamics.
  12. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," LSE Research Online Documents on Economics 58083, London School of Economics and Political Science, LSE Library.
  13. Leonardo Melosi & Francesco Bianchi, 2012. "Inflationary Sentiments and Monetary Policy Communcation," 2012 Meeting Papers 893, Society for Economic Dynamics.
  14. Francesco Bianchi & Leonardo Melosi, 2014. "Constrained Discretion and Central Bank Transparency," NBER Working Papers 20566, National Bureau of Economic Research, Inc.
  15. Berkelmans, Leon, 2011. "Imperfect information, multiple shocks, and policy's signaling role," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 373-386.
  16. Nimark, Kristoffer P, 2013. "Man-bites-dog Business Cycles," CEPR Discussion Papers 9517, C.E.P.R. Discussion Papers.
  17. Angeletos, George-Marios & La’O, Jennifer, 2009. "Incomplete information, higher-order beliefs and price inertia," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 19-37.
  18. Giacomo Candian, 2016. "Information Frictions and Real Exchange Rate Dynamics," EcoMod2016 9106, EcoMod.
  19. Francesco Bianchi & Leonardo Melosi, 2013. "Dormant Shocks and Fiscal Virtue," Working Papers 13-12, Duke University, Department of Economics.
  20. Gabriel DESGRANGES & Stéphane GAUTHIER, 2008. "Stabilizing through Poor Information," THEMA Working Papers 2008-32, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  21. Leonardo Melosi, 2012. "Signaling effects of monetary policy," Working Paper Series WP-2012-05, Federal Reserve Bank of Chicago.
  22. George-Marios Angeletos & Jennifer La'O, 2009. "Incomplete Information, Higher-Order Beliefs and Price Inertia," NBER Working Papers 15003, National Bureau of Economic Research, Inc.
  23. Leonardo Melosi, 2011. "Public's Inflation Expectations and Monetary Policy," 2011 Meeting Papers 1151, Society for Economic Dynamics.
  24. Šauer, Radek, 2016. "The imperfect-common-knowledge Phillips curve: Calvo versus Rotemberg," Discussion Papers 50/2016, Deutsche Bundesbank, Research Centre.
  25. Hoffmann, Mathias & Hürtgen, Patrick, 2016. "Inflation expectations, disagreement, and monetary policy," Economics Letters, Elsevier, vol. 146(C), pages 59-63.
  26. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  27. Jennifer La'O, 2010. "Collateral Constraints and Noisy Fluctuations," 2010 Meeting Papers 780, Society for Economic Dynamics.
  28. George-Marios Angeletos & Jennifer La'O, 2010. "Noisy Business Cycles," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 319-378 National Bureau of Economic Research, Inc.
  29. Tim Willems, 2013. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economics Series Working Papers 687, University of Oxford, Department of Economics.
  30. Michael Rousakis, 2013. "Expectations and Fluctuations: The Role of Monetary Policy," 2013 Meeting Papers 681, Society for Economic Dynamics.
  31. Graham, Liam & Wright, Stephen, 2010. "Information, heterogeneity and market incompleteness," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 164-174, March.
  32. Renzo Rossini & Marco Vega & Zenón Quispe & Fernando Perez, 2016. "Inflation expectations and dollarisation in Peru," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 275-289 Bank for International Settlements.
  33. George-Marios Angeletos & Chen Lian, 2016. "Forward Guidance without Common Knowledge," NBER Working Papers 22785, National Bureau of Economic Research, Inc.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.