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Citations for "Phillips Curve Inflation Forecasts"

by James H. Stock & Mark W. Watson

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  1. Carlos Garcia & Pablo Gonzalez & Antonio Moncado, 2010. "Proyecciones Macroeconómicas en Chile: Una Aproximación Bayesiana," ILADES-Georgetown University Working Papers inv262, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
  2. Igor Vetlov & Tibor Hlédik & Magnus Jonsson & Henrik Kucsera & Massimiliano Pisani, 2011. "Potential Output in DSGE Models," Bank of Lithuania Working Paper Series 9, Bank of Lithuania.
  3. Fabio Rumler & Maria Teresa Valderrama, "undated". "Comparing the New Keynesian Phillips Curve with Time Series Models to Forecast Inflation," EcoMod2007 23900080, EcoMod.
  4. repec:bof:bofitp:urn:nbn:fi:bof-201504131155 is not listed on IDEAS
  5. Lanne, Markku & Luoto, Jani & Saikkonen, Pentti, 2010. "Optimal Forecasting of Noncausal Autoregressive Time Series," MPRA Paper 23648, University Library of Munich, Germany.
  6. Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2013. "Real-Time Inflation Forecasting in a Changing World," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 29-44, January.
  7. Oleg Kitov & Ivan Kitov, 2011. "Inflation and unemployment in Switzerland: from 1970 to 2050," Papers 1102.5405, arXiv.org.
  8. Alan K. Detmeister, 2011. "The usefulness of core PCE inflation measures," Finance and Economics Discussion Series 2011-56, Board of Governors of the Federal Reserve System (U.S.).
  9. Kitov, Ivan & Kitov, Oleg, 2011. "The Australian Phillips curve and more," MPRA Paper 28762, University Library of Munich, Germany.
  10. Meyer, Brent & Zaman, Saeed, 2016. "The Usefulness of the Median CPI in Bayesian VARs Used for Macroeconomic Forecasting and Policy," FRB Atlanta Working Paper 2016-13, Federal Reserve Bank of Atlanta.
  11. Joshua C C Chan & Gary Koop & Roberto Leon-Gonzales & Rodney W Strachan, 2011. "Time Varying Dimension Models," CAMA Working Papers 2011-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  12. Luojia Hu & Maude Toussaint-Comeau, 2010. "Do labor market activities help predict inflation?," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q II, pages 52-63.
  13. Öğünç, Fethi & Akdoğan, Kurmaş & Başer, Selen & Chadwick, Meltem Gülenay & Ertuğ, Dilara & Hülagü, Timur & Kösem, Sevim & Özmen, Mustafa Utku & Tekatlı, Necati, 2013. "Short-term inflation forecasting models for Turkey and a forecast combination analysis," Economic Modelling, Elsevier, vol. 33(C), pages 312-325.
  14. Mazumder, Sandeep, 2011. "Cost-based Phillips Curve forecasts of inflation," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 553-567.
  15. Koop, Gary & Onorante, Luca, 2011. "Estimating Phillips Curves in Turbulent Times using the ECB’s Survey of Professional Forecasters," SIRE Discussion Papers 2011-19, Scottish Institute for Research in Economics (SIRE).
  16. Jacek Kwiatkowski, 2010. "Unobserved Component Model for Forecasting Polish Inflation," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 121-129.
  17. Lena Dräger & Michael J. Lamla & Damjan Pfajfar, 2014. "Are Consumer Expectations Theory-Consistent? The Role of Macroeconomic Determinants and Central Bank Communication," Macroeconomics and Finance Series 201401, Hamburg University, Department Wirtschaft und Politik.
  18. Tsyplakov, Alexander, 2010. "The links between inflation and inflation uncertainty at the longer horizon," MPRA Paper 26908, University Library of Munich, Germany.
  19. Ahmad, Saad & Civelli, Andrea, 2016. "Globalization and inflation: A threshold investigation," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 283-304.
  20. Dräger, Lena & Lamla, Michael J. & Pfajfar, Damjan, 2016. "Are survey expectations theory-consistent? The role of central bank communication and news," European Economic Review, Elsevier, vol. 85(C), pages 84-111.
  21. Pablo Pincheira & Andrés Gatty, 2014. "Forecasting Chilean Inflation with International Factors," Working Papers Central Bank of Chile 723, Central Bank of Chile.
  22. Diego Moccero & Shingo Watanabe & Boris Cournède, 2011. "What Drives Inflation in the Major OECD Economies?," OECD Economics Department Working Papers 854, OECD Publishing.
  23. Gunes Kamber & James Morley & Benjamin Wong, 2016. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Discussion Papers 2016-09, School of Economics, The University of New South Wales.
  24. Marlene Amstad & Ye Huan & Guonan Ma, 2014. "Developing an underlying inflation gauge for China," BIS Working Papers 465, Bank for International Settlements.
  25. Daniel L. Thornton, 2012. "How did we get to inflation targeting and where do we need to go to now? a perspective from the U.S. experience," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 65-81.
  26. Polito, Vito & Wickens, Michael R., 2012. "Modelling the U.S. sovereign credit rating," CEPR Discussion Papers 9150, C.E.P.R. Discussion Papers.
  27. De la Serve, M-E. & Lemoine, M., 2011. "Measuring the NAIRU: a complementary approach," Working papers 342, Banque de France.
  28. Antonello D'Agostino & Luca Gambetti & Domenico Giannone, 2009. "Macroeconomic Forecasting and Structural Change," Working Papers ECARES 2009_020, ULB -- Universite Libre de Bruxelles.
  29. Jamie Hall & Jarkko P. Jääskelä, 2011. "Inflation Volatility and Forecast Accuracy," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 44(4), pages 404-417, December.
  30. Pablo Pincheira Brown & Álvaro García Marín, 2009. "Forecasting Inflation in Chile With an Accurate Benchmark," Working Papers Central Bank of Chile 514, Central Bank of Chile.
  31. Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras & Rangan Gupta, 2015. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," Working Papers 201548, University of Pretoria, Department of Economics.
  32. Keith Sill, 2011. "Inflation dynamics and the New Keynesian Phillips curve," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 17-25.
  33. Arratibel, Olga & Kamps, Christophe & Leiner-Killinger, Nadine, 2009. "Inflation forecasting in the new EU Member States," Working Paper Series 1015, European Central Bank.
  34. Jens R Clausen & Bianca Clausen, 2010. "Simulating Inflation Forecasting in Real-Time; How Useful Is a Simple Phillips Curve in Germany, the UK, and the US?," IMF Working Papers 10/52, International Monetary Fund.
  35. Carlos J. García & Pablo González M. & Antonio Moncado S., 2013. "Macroeconomic Forecasting in Chile: a Structural Bayesian Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(1), pages 24-63, April.
  36. Kumar, Anil & Orrenius, Pia M., 2014. "A closer look at the Phillips curve using state-level data," Working Papers 1409, Federal Reserve Bank of Dallas.
  37. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
  38. Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2010. "Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach," CEPR Discussion Papers 7746, C.E.P.R. Discussion Papers.
  39. Rossi, Barbara & Sekhposyan, Tatevik, 2010. "Have economic models' forecasting performance for US output growth and inflation changed over time, and when?," International Journal of Forecasting, Elsevier, vol. 26(4), pages 808-835, October.
  40. Conrad, Christian & Hartmann, Matthias, 2014. "Cross-sectional evidence on the relation between monetary policy, macroeconomic conditions and low-frequency inflation uncertainty," Working Papers 0574, University of Heidelberg, Department of Economics.
  41. Pincheira, Pablo, 2013. "A Bunch of Models, a Bunch of Nulls and Inference about Predictive Ability," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 26-43, October.
  42. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2016. "The Term Premium as a Leading Macroeconomic Indicator," Working Papers 201613, University of Pretoria, Department of Economics.
  43. Murphy, Robert G., 2014. "Explaining inflation in the aftermath of the Great Recession," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 228-244.
  44. Kaaresvirta, Juuso & Mehrotra, Aaron, 2008. "Business surveys and inflation forecasting in China," BOFIT Discussion Papers 22/2008, Bank of Finland, Institute for Economies in Transition.
  45. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2015. "Consumer and asset prices: Some recent evidence," Wismar Discussion Papers 01/2015, Hochschule Wismar, Wismar Business School.
  46. Muhammad Nadim Hanif & Muhammad Jahanzeb Malik, 2015. "Evaluating the Performance of Inflation Forecasting Models of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 11, pages 43-78.
  47. Polito, Vito & Wickens, Michael, 2015. "Sovereign credit ratings in the European Union: A model-based fiscal analysis," European Economic Review, Elsevier, vol. 78(C), pages 220-247.
  48. Niu, Linlin & Xu, Xiu & Chen, Ying, 2015. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," BOFIT Discussion Papers 12/2015, Bank of Finland, Institute for Economies in Transition.
  49. Pablo M. Pincheira & Carlos A. Medel, 2016. "Forecasting with a Random Walk," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 539-564, December.
  50. João Valle e Azevedo & Ana Pereira, 2010. "Forecasting Inflation (and the Business Cycle?) with Monetary Aggregates," Working Papers w201024, Banco de Portugal, Economics and Research Department.
  51. Manzan, Sebastiano & Zerom, Dawit, 2013. "Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?," International Journal of Forecasting, Elsevier, vol. 29(3), pages 469-478.
  52. Robert G. Murphy, 2016. "Why Has Inflation Been So Unresponsive to Economic Activity in Recent Years?," Boston College Working Papers in Economics 920, Boston College Department of Economics.
  53. Kitov, Ivan, 2009. "The anti-Phillips curve," MPRA Paper 13641, University Library of Munich, Germany.
  54. Ghysels, Eric & Ozkan, Nazire, 2015. "Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1009-1020.
  55. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
  56. El-Shagi, Makram, 2011. "Inflation expectations: Does the market beat econometric forecasts?," The North American Journal of Economics and Finance, Elsevier, vol. 22(3), pages 298-319.
  57. Ercio Muñoz S. & Alfredo Pistelli M., 2010. "¿Tienen los Terremotos un Impacto Inflacionario en el Corto Plazo? Evidencia para una Muestra de Países," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(2), pages 113-127, April.
  58. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 69(4), December.
  59. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
  60. Jennifer Castle & David Hendry & Michael P. Clements, 2014. "Robust Approaches to Forecasting," Economics Series Working Papers 697, University of Oxford, Department of Economics.
  61. Stephen McKnight & Alexander Mihailov & Kerry Patterson & Fabio Rumler, 2014. "The Predictive Performance of Fundamental Inflation Concepts: An Application to the Euro Area and the United States," Economics & Management Discussion Papers em-dp2014-03, Henley Business School, Reading University.
  62. Heaton, Chris, 2015. "Testing for multiple-period predictability between serially dependent time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 587-597.
  63. Altug, Sumru & Çakmaklı, Cem, 2016. "Forecasting inflation using survey expectations and target inflation: Evidence for Brazil and Turkey," International Journal of Forecasting, Elsevier, vol. 32(1), pages 138-153.
  64. Fröhling, Annette & Lommatzsch, Kirsten, 2011. "Output sensitivity of inflation in the euro area: Indirect evidence from disaggregated consumer prices," Discussion Paper Series 1: Economic Studies 2011,25, Deutsche Bundesbank, Research Centre.
  65. Manzan, Sebastiano & Zerom, Dawit, 2009. "Are Macroeconomic Variables Useful for Forecasting the Distribution of U.S. Inflation?," MPRA Paper 14387, University Library of Munich, Germany.
  66. Knotek, Edward S. & Zaman, Saeed, 2014. "On the Relationships between Wages, Prices, and Economic Activity," Economic Commentary, Federal Reserve Bank of Cleveland, issue Aug.
  67. Natan P. Epstein & Corrado Macchiarelli, 2010. "Estimating Poland's Potential Output; A Production Function Approach," IMF Working Papers 10/15, International Monetary Fund.
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