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Testing the Sticky Information Phillips Curve

Citations

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Cited by:

  1. Mikael Carlsson & Oskar Nordstrom Skans, 2012. "Evaluating Microfoundations for Aggregate Price Rigidities: Evidence from Matched Firm-Level Data on Product Prices and Unit Labor Cost," American Economic Review, American Economic Association, vol. 102(4), pages 1571-1595, June.
  2. Marcelle Chauvet & Insu Kim, 2021. "Incomplete Price Adjustment and Inflation Persistence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1337-1371, September.
  3. Frédérique Bec & Raouf Boucekkine & Caroline Jardet, 2023. "Why Are Inflation Forecasts Sticky? Theory and Application to France and Germany," International Journal of Central Banking, International Journal of Central Banking, vol. 19(4), pages 215-249, October.
  4. Monique Reid & Gideon Rand, 2015. "A Sticky Information Phillips Curve for South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 506-526, December.
  5. Frédérique BEC, 2017. "Why are inflation forecasts sticky?," THEMA Working Papers 2017-23, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  6. Paul Hubert & Harun Mirza, 2019. "The role of forward‐ and backward‐looking information for inflation expectations formation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(8), pages 733-748, December.
  7. Hematy , Maryam & Pedram , Mehdi, 2015. "Threshold Effects in Sticky Information Philips Curve: Evidence from Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(1), pages 1-23, January.
  8. James M. Nason & Gregor W. Smith, 2021. "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 1-17, January.
  9. repec:zbw:rwirep:0255 is not listed on IDEAS
  10. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2009. "A naïve sticky information model of households' inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1332-1344, June.
  11. Casarin, Roberto & Costantini, Mauro & Paradiso, Antonio, 2021. "On the role of dependence in sticky price and sticky information Phillips curve: Modelling and forecasting," Economic Modelling, Elsevier, vol. 105(C).
  12. Marcelle, Chauvet & Insu, Kim, 2010. "Microfoundations of Inflation Persistence in the New Keynesian Phillips Curve," MPRA Paper 23109, University Library of Munich, Germany.
  13. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
  14. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Department of Economics, College of William and Mary.
  15. Andrade, Philippe & Le Bihan, Hervé, 2013. "Inattentive professional forecasters," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 967-982.
  16. Daley, Clayton, 2007. "A “Local” Model of the Firm: Sticky prices and the Phillips Curve," MPRA Paper 4012, University Library of Munich, Germany, revised 11 Jul 2007.
  17. Arslan, M. Murat, 2010. "Relative importance of sticky prices and sticky information in price setting," Economic Modelling, Elsevier, vol. 27(5), pages 1124-1135, September.
  18. Carrera Cesar, 2012. "Estimating Information Rigidity Using Firms' Survey Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-34, June.
  19. Kim, Insu & Kim, Young Se, 2019. "Inattentive agents and inflation forecast error dynamics: A Bayesian DSGE approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
  20. Benjamin D. Keen & Evan F. Koenig, 2018. "How Robust Are Popular Models of Nominal Frictions?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1299-1342, September.
  21. Waldyr D Areosa, 2016. "What drives inflation expectations in Brazil? Public versus private information," BIS Working Papers 544, Bank for International Settlements.
  22. James M. Nason & Gregor W. Smith, 2013. "Reverse Kalman filtering U.S. inflation with sticky professional forecasts," Working Papers 13-34, Federal Reserve Bank of Philadelphia.
  23. Harun Mirza & Lidia Storjohann, 2014. "Making Weak Instrument Sets Stronger: Factor‐Based Estimation of Inflation Dynamics and a Monetary Policy Rule," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 643-664, June.
  24. Scott R. Baker & Tucker S. McElroy & Xuguang S. Sheng, 2020. "Expectation Formation Following Large, Unexpected Shocks," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 287-303, May.
  25. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 920-940, August.
  26. Edward S. Knotek Ii, 2010. "A Tale of Two Rigidities: Sticky Prices in a Sticky-Information Environment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1543-1564, December.
  27. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.
  28. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
  29. repec:hal:spmain:info:hdl:2441/3v5mev848s8148gjqcbf4mva5q is not listed on IDEAS
  30. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
  31. Kara Engin, 2011. "Micro-Data on Nominal Rigidity, Inflation Persistence and Optimal Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-19, July.
  32. Carrera, César & Ramírez-Rondán, N.R., 2019. "Inflation, Information Rigidity, And The Sticky Information Phillips Curve," Macroeconomic Dynamics, Cambridge University Press, vol. 23(7), pages 2597-2615, October.
  33. Hahn, Volker & Marenčák, Michal, 2020. "Price points and price dynamics," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 127-144.
  34. Easaw Joshy & Golinelli Roberto, 2010. "Households Forming Inflation Expectations: Active and Passive Absorption Rates," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, November.
  35. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
  36. Sushant Acharya, 2017. "Costly Information, Planning Complementarities, and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 823-850, June.
  37. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
  38. Carrillo, Julio A., 2012. "How well does sticky information explain the dynamics of inflation, output, and real wages?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(6), pages 830-850.
  39. Orlando Gomes, 2012. "Transitional Dynamics in Sticky-Information General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 387-407, April.
  40. Gomes, Orlando, 2012. "Thought experimentation and the Phillips curve," Research in Economics, Elsevier, vol. 66(1), pages 45-64.
  41. Bredemeier, Christian & Goecke, Henry, 2011. "Sticky Prices vs. Sticky Information – A Cross-Country Study of Inflation Dynamics," Ruhr Economic Papers 255, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  42. Christian Bredemeier & Henry Goecke, 2011. "Sticky Prices vs. Sticky Information – A Cross-Country Study of Inflation Dynamics," Ruhr Economic Papers 0255, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  43. Arnildo da Silva Correa & Paulo Picchetti, 2016. "New Information and Updating of Market Experts’ Inflation Expectations," Working Papers Series 411, Central Bank of Brazil, Research Department.
  44. Latsos Sophia, 2018. "Real Wage Effects of Japan’s Monetary Policy," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 69(1), pages 177-215, July.
  45. Christian Gillitzer, 2016. "The Sticky Information Phillips Curve: Evidence for Australia," The Economic Record, The Economic Society of Australia, vol. 92(299), pages 548-567, December.
  46. Goecke, Henry & Luhan, Wolfgang J. & Roos, Michael W.M., 2013. "Rational inattentiveness in a forecasting experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 80-89.
  47. Gomes Orlando, 2009. "The Sticky Information Macro Model: Beyond Perfect Foresight," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-37, December.
  48. Mohammad Naim Azimi, 2016. "Drawing on Phillips curve: does the inverse relation between inflation and unemployment persist in transitional economies," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 7(2), pages 89-100.
  49. Mazumder, Sandeep, 2011. "The empirical validity of the New Keynesian Phillips curve using survey forecasts of inflation," Economic Modelling, Elsevier, vol. 28(6), pages 2439-2450.
  50. Yingying Xu & Zhi-Xin Liu & Hsu-Ling Chang & Adelina Dumitrescu Peculea & Chi-Wei Su, 2017. "Does self-fulfilment of the inflation expectation exist?," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1098-1113, March.
  51. Benedetto Molinari, 2014. "Sticky information and inflation persistence: evidence from the U.S. data," Empirical Economics, Springer, vol. 46(3), pages 903-935, May.
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