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Simon van Norden

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Athanasios Orphanides & Simon van Norden, 2004. "The reliability of inflation forecasts based on output gap estimates in real time," Finance and Economics Discussion Series 2004-68, Board of Governors of the Federal Reserve System (U.S.).

    Mentioned in:

    1. Potential supply, the output gap and inflation
      by bankunderground in Bank Underground on 2016-01-25 13:30:48
    2. The output gap is the trojan horse of the fiscal compact
      by florincitu in FlorinCitu on 2012-02-21 00:51:00
  2. Orphanides, Athanasios & van Norden, Simon, 2005. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 583-601, June.

    Mentioned in:

    1. Potential supply, the output gap and inflation
      by bankunderground in Bank Underground on 2016-01-25 13:30:48
    2. The output gap is the trojan horse of the fiscal compact
      by florincitu in FlorinCitu on 2012-02-21 00:51:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. van Norden, Simon, 1996. "Regime Switching as a Test for Exchange Rate Bubbles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(3), pages 219-251, May-June.

    Mentioned in:

    1. Regime switching as a test for exchange rate bubbles (Journal of Applied Econometrics 1996) in ReplicationWiki ()

Working papers

  1. Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2018. "Can GDP measurement be further improved? Data revision and reconciliation," Papers 1808.04970, arXiv.org.

    Cited by:

    1. Maria do Rosário Anjos, 2021. "Free Competition and Fiscal Policy in European Union," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 6(6), pages 25-30, September.
    2. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    3. Sekine, Toshitaka, 2022. "Looking from Gross Domestic Income: Alternative view of Japan’s economy," Japan and the World Economy, Elsevier, vol. 64(C).
    4. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    5. Maria do Rosário Anjos, 2020. "Free Competition and Fiscal Policy in European Union," International Journal of Operations Management, Inovatus Services Ltd., vol. 1(1), pages 49-56, October.
    6. Eiji Goto & Jan P.A.M. Jacobs & Tara M. Sinclair & Simon van Norden, 2021. "Employment Reconciliation and Nowcasting," Working Papers 2021-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Kurt Graden Lunsford, 2023. "The Discrepancy Between Expenditure- and Income-Side Estimates of US Output," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(01), pages 1-7, January.

  2. Dean Croushore & Simon van Norden, 2017. "Fiscal Surprises at the FOMC," CIRANO Working Papers 2017s-09, CIRANO.

    Cited by:

    1. Galbraith, John W. & van Norden, Simon, 2019. "Asymmetry in unemployment rate forecast errors," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1613-1626.
    2. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
    3. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.

  3. Dean Croushore & Simon van Norden, 2016. "Fiscal Forecasts at the FOMC: Evidence from the Greenbooks," CIRANO Working Papers 2016s-17, CIRANO.

    Cited by:

    1. Cronin, David & McQuinn, Kieran, 2020. "Are official forecasts of output growth in the EU still biased? Evidence from stability and convergence programmes and the European Commission’s Spring forecasts," Papers WP681, Economic and Social Research Institute (ESRI).
    2. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    3. Ricco, Giovanni & Miranda-Agrippino, Silvia, 2018. "The Transmission of Monetary Policy Shocks," CEPR Discussion Papers 13396, C.E.P.R. Discussion Papers.
    4. Cronin, David & McQuinn, Kieran, 2020. "The (Pro-) Cyclicality of Fiscal Policy in the EU and Governments’ Expectations of Future Output Growth: New Evidence," Papers WP683, Economic and Social Research Institute (ESRI).
    5. Cronin, David & McQuinn, Kieran, 2021. "Are official forecasts of output growth in the EU still biased?," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 337-349.
    6. Jonathan J Adams & Philip Barrett, 2023. "Identifying News Shocks from Forecasts," Working Papers 001010, University of Florida, Department of Economics.
    7. Dean Croushore & Simon van Norden, 2017. "Fiscal Surprises At The Fomc," Working Papers 17-13, Federal Reserve Bank of Philadelphia.
    8. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
    9. Galbraith, John W. & van Norden, Simon, 2019. "Asymmetry in unemployment rate forecast errors," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1613-1626.
    10. Tomás Marinozzi, 2023. "Forecasting Inflation in Argentina: A Probabilistic Approach," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(81), pages 81-110, May.
    11. Cronin, David & McGowan, Kieran, 2023. "Government debt forecast errors and the net expenditure rule in EU countries," Papers WP756, Economic and Social Research Institute (ESRI).
    12. Pérez Quirós, Gabriel & Pérez, Javier J. & Paredes, Joan, 2015. "Fiscal targets. A guide to forecasters?," Working Paper Series 1834, European Central Bank.
    13. David Cronin & Kieran McQuinn, 2021. "The (pro-) cyclicality of government consumption in the EU and official expectations of future output growth: new evidence," International Economics and Economic Policy, Springer, vol. 18(2), pages 331-345, May.
    14. Metodij Hadzi-Vaskov & Mr. Luca A Ricci & Alejandro M. Werner & Rene Zamarripa, 2021. "Authorities’ Fiscal Forecasts in Latin America: Are They Optimistic?," IMF Working Papers 2021/154, International Monetary Fund.
    15. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
    16. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    17. Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.

  4. Dean Croushore & Simon van Norden, 2014. "Fiscal policy: ex ante and ex post," Working Papers 14-22, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Frankel, Jeffrey A. & Schreger, Jesse, 2016. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?," Working Paper Series 16-021, Harvard University, John F. Kennedy School of Government.

  5. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.

    Cited by:

    1. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    2. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014. "Combining distributions of real-time forecasts: An application to U.S. growth," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).
    3. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    4. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.

  6. Mardi Dungey & Jan PAM Jacobs & Jing Tian & Simon van Norden, 2012. "On the correspondence between data revision and trend-cycle decomposition," CAMA Working Papers 2012-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Dungey, Mardi & Jacobs, Jan & Tian, Jing & Norden, Simon van, 2012. "On trend-cycle decomposition and data revision," Research Report 12009-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    2. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.

  7. Simon van Norden, 2010. "Current Trends in the Analysis of Canadian Productivity Growth," CIRANO Working Papers 2010s-30, CIRANO.

    Cited by:

    1. Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CAMA Working Papers 2010-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.

  8. John W. Galbraith & Simon van Norden, 2009. "Calibration and Resolution Diagnostics for Bank of England Density Forecasts," CIRANO Working Papers 2009s-36, CIRANO.

    Cited by:

    1. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.

  9. John W. Galbraith & Simon van Norden, 2008. "The Calibration of Probabilistic Economic Forecasts," CIRANO Working Papers 2008s-28, CIRANO.

    Cited by:

    1. John W. Galbraith & Simon van Norden, 2009. "Calibration and Resolution Diagnostics for Bank of England Density Forecasts," CIRANO Working Papers 2009s-36, CIRANO.

  10. M. Martin Boyer & Simon van Norden, 2006. "Exchange Rates and Order Flow in the Long Run," CIRANO Working Papers 2006s-07, CIRANO.

    Cited by:

    1. Frömmel, Michael & D'Hoore, Dick & Lampaert, Kevin, 2021. "The Accuracy of Trade Classification Systems on the Foreign Exchange Market: Evidence from the RUB/USD Market," Finance Research Letters, Elsevier, vol. 42(C).
    2. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    3. Massimiliano Marzo & Paolo Zagaglia, 2011. "Trading Directions and the Pricing of Euro Interbank Deposits in the Long Run," Working Paper series 20_11, Rimini Centre for Economic Analysis.
    4. Zhang, Zhichao & Chau, Frankie & Zhang, Wenting, 2013. "Exchange rate determination and dynamics in China: A market microstructure analysis," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 303-316.
    5. Nikola Gradojevic & Christopher J. Neely, 2008. "The dynamic interaction of order flows and the CAD/USD exchange rate," Working Papers 2008-006, Federal Reserve Bank of St. Louis.
    6. Nikola Gradojevic & Camillo Lento, 2012. "Multiscale Analysis of Foreign Exchange Order Flows and Technical Trading Profitability," Working Paper series 31_12, Rimini Centre for Economic Analysis.
    7. Yoshihiro Kitamura, 2011. "The Impact of Order Flow on the Foreign Exchange Market: A Copula Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(1), pages 1-31, March.
    8. Martin D. D. Evans & Dagfinn Rime, 2011. "Micro approaches to foreign exchange determination," Working Paper 2011/05, Norges Bank.
    9. Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2014. "Quantifying Informational Linkages in a Global Model of Currency Spot Markets," Melbourne Institute Working Paper Series wp2014n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Viet Hoang Nguyen & Yongcheol Shin, 2011. "Asymmetric Price Impacts of Order Flow on Exchange Rate Dynamics," Melbourne Institute Working Paper Series wp2011n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Abolaji Daniel Anifowose & Izlin Ismail & Mohd Edil Abd Sukor, 2018. "Currency Order Flow and Exchange Rate Determination: Empirical Evidence from the Malaysian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 19(4), pages 902-920, August.
    13. Gradojevic, Nikola, 2012. "Frequency domain analysis of foreign exchange order flows," Economics Letters, Elsevier, vol. 115(1), pages 73-76.
    14. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  11. Simon van Norden, 2005. "Are We There Yet? Looking for the New Economy," Computing in Economics and Finance 2005 337, Society for Computational Economics.

    Cited by:

    1. Jacobs, Jan P.A.M. & van Norden, Simon, 2011. "Modeling data revisions: Measurement error and dynamics of "true" values," Journal of Econometrics, Elsevier, vol. 161(2), pages 101-109, April.
    2. Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CAMA Working Papers 2010-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  12. Cayen, Jean-Philippe & van Norden, Simon, 2004. "The reliability of Canadian output gap estimates," Discussion Paper Series 1: Economic Studies 2004,29, Deutsche Bundesbank.

    Cited by:

    1. Massimiliano Marcellino & Alberto Musso, 2010. "the Reliability of Real Time Estimates of the EURO Area Output Gap," Economics Working Papers ECO2010/06, European University Institute.
    2. Pierre L. Siklos, 2010. "Revisiting the Coyne Affair: a singular event that changed the course of Canadian monetary history," Canadian Journal of Economics, Canadian Economics Association, vol. 43(3), pages 994-1015, August.
    3. Aastveit, Knut Are & Trovik, Tørres, 2014. "Estimating the output gap in real time: A factor model approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
    4. Onur Ince & David H. Papell, 2013. "The (Un)Reliability of Real-Time Output Gap Estimates with Revised Data," Working Papers 13-02, Department of Economics, Appalachian State University.
    5. Kristian Jönsson, 2020. "Real-time US GDP gap properties using Hamilton’s regression-based filter," Empirical Economics, Springer, vol. 59(1), pages 307-314, July.
    6. Marcell Göttert & Timo Wollmershäuser, 2021. "Survey-Based Structural Budget Balances," EconPol Working Paper 59, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Arturo Antón-Sarabia, 2008. "El problema al final de la muestra en la estimación del PIB potencial," Working papers DTE 442, CIDE, División de Economía.
    8. Rochelle M. Edge & Jeremy B. Rudd, 2016. "Real-Time Properties of the Federal Reserve's Output Gap," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 785-791, October.
    9. Sergey Sinelnikov-Murylev & Sergey Drobyshevsky & Maria Kazakova & Michael Alexeev, . "Decomposition of Russia's GDP Growth Rates," Research Paper Series, Gaidar Institute for Economic Policy, pages 123-123.
    10. Xueting Yu & Yuhan Zhu & Guangming Lv, 2020. "Analysis of the Impact of China’s GDP Data Revision on Monetary Policy from the Perspective of Uncertainty," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(6), pages 1251-1274, May.
    11. Dean Croushore, 2008. "Frontiers of real-time data analysis," Working Papers 08-4, Federal Reserve Bank of Philadelphia.
    12. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
    13. Dana Kloudová, 2013. "Produkční mezera jako indikátor inflace - případ pro českou ekonomiku [Output Gap as Indicator of Inflation - Case for Czech Economy]," Politická ekonomie, Prague University of Economics and Business, vol. 2013(5), pages 639-652.
    14. G. Farrell, 2016. "Countercyclical Capital Buffers and Real-Time Credit-To-GDP Gap Estimates: A South African Perspective," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 40(1), pages 1-20, April.
    15. Ahsan ul Haq Satti & Wasim Shahid Malik, 2017. "The Unreliability of Output-Gap Estimates in Real Time," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 56(3), pages 193-219.
    16. Bernhardsen, Tom & Eitrheim, Øyvind & Jore, Anne Sofie & Røisland, Øistein, 2004. "Real-time Data for Norway: Challenges for Monetary Policy," Discussion Paper Series 1: Economic Studies 2004,26, Deutsche Bundesbank.
    17. L Christopher Plantier & Ozer Karagedikli, 2005. "Do so-called multivariate filters have better revision properties? An empirical analysis," Computing in Economics and Finance 2005 250, Society for Computational Economics.
    18. Fernandez, Adriana Z. & Koenig, Evan F. & Nikolsko-Rzhevskyy, Alex, 2010. "Can alternative Taylor-rule specifications describe Federal Reserve policy decisions?," Journal of Policy Modeling, Elsevier, vol. 32(6), pages 733-757, November.
    19. Quast, Josefine & Wolters, Maik H., 2023. "The Federal Reserve's output gap: The unreliability of real-time realiability tests," IMFS Working Paper Series 179, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    20. Chiu, Adrian & Wieladek, Tomasz, 2012. "Did output gap measurement improve over time?," Discussion Papers 36, Monetary Policy Committee Unit, Bank of England.
    21. Simon van Norden, 2015. "Estimates of Québec’s Growth Uncertainty," CIRANO Project Reports 2015rp-01, CIRANO.
    22. Cayen, Jean-Philippe & van Norden, Simon, 2004. "The reliability of Canadian output gap estimates," Discussion Paper Series 1: Economic Studies 2004,29, Deutsche Bundesbank.
    23. André Binette & Sylvain Martel, 2005. "Inflation and Relative Price Dispersion in Canada: An Empirical Assessment," Staff Working Papers 05-28, Bank of Canada.
    24. Gerhard Kempkes, 2014. "Cyclical Adjustment in Fiscal Rules: Some Evidence on Real-Time Bias for EU-15 Countries," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 70(2), pages 278-315, June.
    25. Todd E. Clark & Sharon Kozicki, 2004. "Estimating equilibrium real interest rates in real time," Research Working Paper RWP 04-08, Federal Reserve Bank of Kansas City.
    26. Quast, Josefine & Wolters, Maik H., 2019. "Reliable Real-time Output Gap Estimates Based on a Modified Hamilton Filter," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203535, Verein für Socialpolitik / German Economic Association.
    27. João Sousa Andrade & António Portugal Duarte, 2014. "Output-gaps in the PIIGS Economies: An Ingredient of a Greek Tragedy," GEMF Working Papers 2014-06, GEMF, Faculty of Economics, University of Coimbra.
    28. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2018. "The Real‐Time Properties of the Bank of Canada's Staff Output Gap Estimates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1167-1188, September.
    29. Hjelm, Göran & Jönsson, Kristian, 2010. "In Search of a Method for Measuring the Output Gap of the Swedish Economy," Working Papers 115, National Institute of Economic Research.
    30. Tom Bernhardsen & ØYvind Eitrheim, 2005. "Real-time data for Norway: Output gap revisions and challenges for monetary policy," Computing in Economics and Finance 2005 274, Society for Computational Economics.
    31. Adriana Fernandez & Evan F. Koenig & Alex Nikolsko-Rzhevskyy, 2008. "The relative performance of alternative Taylor rule specifications," Staff Papers, Federal Reserve Bank of Dallas, issue Jun.
    32. Kempkes, Gerhard, 2012. "Cyclical adjustment in fiscal rules: Some evidence on real-time bias for EU-15 countries," Discussion Papers 15/2012, Deutsche Bundesbank.
    33. Jaqueson K. Galimberti & Marcelo L. Moura, 2011. "Improving the reliability of real-time Hodrick-Prescott filtering using survey forecasts," Centre for Growth and Business Cycle Research Discussion Paper Series 159, Economics, The University of Manchester.
    34. International Monetary Fund, 2014. "Russian Federation: Selected Issues," IMF Staff Country Reports 2014/176, International Monetary Fund.
    35. S. Adnan H. A. S., Bukhari & Safdar Ullah, Khan, 2008. "Estimating Output Gap for Pakistan Economy:Structural and Statistical Approaches," MPRA Paper 9736, University Library of Munich, Germany, revised 20 Jun 2008.
    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. Marcellino, Massimiliano & Musso, Alberto, 2010. "Real time estimates of the euro area output gap: reliability and forecasting performance," Working Paper Series 1157, European Central Bank.
    38. Rafael Cusinato & André Minella & Sabino Silva Pôrto Júnior, 2013. "Output gap in Brazil: a real-time data analysis," Empirical Economics, Springer, vol. 44(3), pages 1113-1127, June.

  13. Simon van Norden, 2004. "How Precise are Our Estimates of the Current Output Gap? New Evidence from Multivariate Estimates for the Euro-Zone," Computing in Economics and Finance 2004 299, Society for Computational Economics.

    Cited by:

    1. Sergey Sinelnikov-Murylev & Sergey Drobyshevsky & Maria Kazakova & Michael Alexeev, . "Decomposition of Russia's GDP Growth Rates," Research Paper Series, Gaidar Institute for Economic Policy, pages 123-123.

  14. Robert Gagné & Simon van Norden & Bruno Versaevel, 2003. "Testing Optimal Punishment Mechanisms Under Price Regulation: the Case of the Retail Market for Gasoline," CIRANO Working Papers 2003s-57, CIRANO.

    Cited by:

    1. Billette de Villemeur, Etienne & Flochel, Laurent & Versaevel, Bruno, 2012. "Optimal collusion with limited liability," MPRA Paper 38481, University Library of Munich, Germany.
    2. Etienne Billette de Villemeur & Laurent Flochel & Bruno Versaevel, 2009. "Optimal Collusion with Limited Severity Constraint," Working Papers 0909, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Flochel, Laurent & Versaevel, Bruno & de Villemeur, Étienne, 2009. "Optimal Collusion with Limited Liability and Policy Implications," IDEI Working Papers 547, Institut d'Économie Industrielle (IDEI), Toulouse, revised Jul 2011.
    4. Juan Esteban Carranza & Robert Clark & Jean-François Houde, 2015. "Price Controls and Market Structure: Evidence from Gasoline Retail Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 63(1), pages 152-198, March.

  15. Athanasios Orphanides & Simon van Norden, 2003. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," CIRANO Working Papers 2003s-01, CIRANO.

    Cited by:

    1. Lucian Croitoru, 2016. "Are We Systematically Wrong when Estimating Potential Output and the Natural Rate of Interest?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 128-151, June.
    2. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    3. Dany Brouillette & Marie-Noëlle Robitaille & Laurence Savoie-Chabot & Pierre St-Amant & Bassirou Gueye & Elise Martin, 2019. "The Trend Unemployment Rate in Canada: Searching for the Unobservable," Staff Working Papers 19-13, Bank of Canada.
    4. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the Euro Area potential output with a semi-structural multivariate Hodrick-Prescott filter," SciencePo Working papers Main hal-00972840, HAL.
    5. Bagsic, Cristeta & Paul, McNelis, 2007. "Output Gap Estimation for Inflation Forecasting: The Case of the Philippines," MPRA Paper 86789, University Library of Munich, Germany.
    6. Ippei Fujiwara & Yasuo Hirose, 2011. "Indeterminacy and forecastability," Globalization Institute Working Papers 91, Federal Reserve Bank of Dallas.
    7. Alessandro Flamini & Costas Milas, 2010. "Real-time Optimal Monetary Policy with Undistinguishable Model Parameters and Shock Processes Uncertainty," Working Papers 2010015, The University of Sheffield, Department of Economics, revised Jun 2010.
    8. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    9. Isabell Koske & Nigel Pain, 2008. "The Usefulness of Output Gaps for Policy Analysis," OECD Economics Department Working Papers 621, OECD Publishing.
    10. Athanasios Orphanides & John C. Williams, 2002. "Robust Monetary Policy Rules with Unknown Natural Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 63-146.
    11. Dopke, Jorg & Fritsche, Ulrich, 2006. "When do forecasters disagree? An assessment of German growth and inflation forecast dispersion," International Journal of Forecasting, Elsevier, vol. 22(1), pages 125-135.
    12. Costas Milas & Ruthira Naraidoo, 2009. "Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment," Working Paper series 42_09, Rimini Centre for Economic Analysis.
    13. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Camila Figueroa & Jorge Fornero & Pablo García, 2019. "Hindsight vs. Real time measurement of the output gap: Implications for the Phillips curve in the Chilean Case," Working Papers Central Bank of Chile 854, Central Bank of Chile.
    15. Chris McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," Reserve Bank of New Zealand Discussion Paper Series DP2016/10, Reserve Bank of New Zealand.
    16. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    17. Andreas Billmeier, 2006. "Measuring a Roller Coaster: Evidence on the Finnish Output Gap," Finnish Economic Papers, Finnish Economic Association, vol. 19(2), pages 69-83, Autumn.
    18. Sylvain Leduc & Kevin Moran & Robert J. Vigfusson, 2020. "Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications," Working Paper Series 2020-33, Federal Reserve Bank of San Francisco.
    19. Alonso Gomez & John M Maheu & Alex Maynard, 2008. "Improving Forecasts of Inflation using the Term Structure of Interest Rates," Working Papers tecipa-319, University of Toronto, Department of Economics.
    20. Afees A. Salisu & Kazeem Isah, 2017. "Predicting US CPI-Inflation in the presence of asymmetries, persistence, endogeneity, and conditional heteroscedasticity," Working Papers 026, Centre for Econometric and Allied Research, University of Ibadan.
    21. John W. Galbraith & Simon van Norden, 2009. "Calibration and Resolution Diagnostics for Bank of England Density Forecasts," CIRANO Working Papers 2009s-36, CIRANO.
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    165. Medel, Carlos A., 2015. "A Critical Review of Posch, J. and F. Rumler (2015), 'Semi-Structural Forecasting of UK Inflation Based on the Hybrid New Keynesian Phillips Curve,' Journal of Forecasting 34(2): 145-62," MPRA Paper 65665, University Library of Munich, Germany.
    166. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    167. Ioanna Kokores, 2015. "Lean-Against-the-Wind Monetary Policy: The Post-Crisis Shift in the Literature," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 66-99, july-Dece.
    168. Christopher G. Gibbs, 2015. "Overcoming the Forecast Combination Puzzle: Lessons from the Time-Varying Effciency of Phillips Curve Forecasts of U.S. Inflation," Discussion Papers 2015-09, School of Economics, The University of New South Wales.
    169. Sarah Lima & Marco Malgarini, 2016. "Does a Survey Based Capacity Utilization Measure Help Predicting Brazilian Output Gap in Real-Time?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 119-139, September.
    170. International Monetary Fund, 2014. "Russian Federation: Selected Issues," IMF Staff Country Reports 2014/176, International Monetary Fund.
    171. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.
    172. Stefan Gerlach & John Lewis, 2014. "Zero lower bound, ECB interest rate policy and the financial crisis," Empirical Economics, Springer, vol. 46(3), pages 865-886, May.
    173. Mamdouh Abdelmoula M. ABDELSALAM, 2017. "Improving Phillips Curve’s Inflation Forecasts under Misspecification," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 54-76, September.
    174. Ulrich Gunter, 2019. "Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules," Empirical Economics, Springer, vol. 56(4), pages 1283-1323, April.
    175. Rochelle M. Edge & Jeremy B. Rudd, 2012. "Real-time properties of the Federal Reserve's output gap," Finance and Economics Discussion Series 2012-86, Board of Governors of the Federal Reserve System (U.S.).
    176. Marcellino, Massimiliano & Musso, Alberto, 2010. "Real time estimates of the euro area output gap: reliability and forecasting performance," Working Paper Series 1157, European Central Bank.
    177. Fernández, Adriana Z. & Nikolsko-Rzhevskyy, Alex, 2010. "The changing nature of the U.S. economic influence in the World," Journal of Policy Modeling, Elsevier, vol. 32(2), pages 196-209, March.
    178. Afees A. Salisu & Kazeem Isah, 2017. "Predicting US Inflation: Evidence from a New Approach," Working Papers 039, Centre for Econometric and Allied Research, University of Ibadan.
    179. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy: An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank.
    180. Thanaset Chevapatrakul & Juan Paez-Farrell, 2014. "Monetary Policy Reaction Functions in Small Open Economies: a Quantile Regression Approach," Manchester School, University of Manchester, vol. 82(2), pages 237-256, March.
    181. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.

  16. Simon van Norden, 2002. "Filtering for Current Analysis," Staff Working Papers 02-28, Bank of Canada.

    Cited by:

    1. Athanasios Orphanides & John C. Williams, 2007. "Robust monetary policy with imperfect knowledge," Working Paper Series 2007-08, Federal Reserve Bank of San Francisco.
    2. Athanasios Orphanides, 2003. "Historical monetary policy analysis and the Taylor rule," Finance and Economics Discussion Series 2003-36, Board of Governors of the Federal Reserve System (U.S.).
    3. Michael Graff & Jan-Egbert Sturm, 2010. "The information content of capacity utilisation rates for output gap estimates," KOF Working papers 10-269, KOF Swiss Economic Institute, ETH Zurich.
    4. Michael Graff, 2004. "Estimates of the output gap in real time: how well have we been doing?," Reserve Bank of New Zealand Discussion Paper Series DP 2004/04, Reserve Bank of New Zealand.
    5. Phuong Nguyen-Hoang, 2015. "Volatile earmarked revenues and state highway expenditures in the United States," Transportation, Springer, vol. 42(2), pages 237-256, March.
    6. Quast, Josefine & Wolters, Maik H., 2019. "Reliable Real-time Output Gap Estimates Based on a Modified Hamilton Filter," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203535, Verein für Socialpolitik / German Economic Association.
    7. Garratt, Anthony & Lee, Kevin & Mise, Emi & Shields, Kalvinder, 2009. "Real time representation of the UK output gap in the presence of model uncertainty," International Journal of Forecasting, Elsevier, vol. 25(1), pages 81-102.

  17. Jean-Philippe Cayen & Simon van Norden, 2002. "La fiabilité des estimations de l'écart de production au Canada," Staff Working Papers 02-10, Bank of Canada.

    Cited by:

    1. Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Staff Working Papers 05-44, Bank of Canada.
    2. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the Euro Area potential output with a semi-structural multivariate Hodrick-Prescott filter," SciencePo Working papers Main hal-00972840, HAL.
    3. Camila Figueroa & Jorge Fornero & Pablo García, 2019. "Hindsight vs. Real time measurement of the output gap: Implications for the Phillips curve in the Chilean Case," Working Papers Central Bank of Chile 854, Central Bank of Chile.
    4. Paloviita, Maritta & Mayes, David, 2005. "The use of real-time information in Phillips-curve relationships for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 415-434, December.
    5. Andrew Rennison, 2003. "Comparing Alternative Output-Gap Estimators: A Monte Carlo Approach," Staff Working Papers 03-8, Bank of Canada.
    6. Marc-André Gosselin & René Lalonde, 2002. "Une approche éclectique d'estimation du PIB potentiel américain," Staff Working Papers 02-36, Bank of Canada.
    7. Ali Dib, 2002. "Nominal Rigidities and Monetary Policy in Canada Since 1981," Staff Working Papers 02-25, Bank of Canada.
    8. Michael Graff, 2004. "Estimates of the output gap in real time: how well have we been doing?," Reserve Bank of New Zealand Discussion Paper Series DP 2004/04, Reserve Bank of New Zealand.
    9. Odia Ndongo, Yves Francis, 2006. "Datation du Cycle du PIB Camerounais entre 1960 et 2003," MPRA Paper 552, University Library of Munich, Germany.
    10. Matthieu LEMOINE & Odile CHAGNY, 2005. "Estimating the potential output of the euro area with a semi-structural multivariate Hodrick-Prescott filter," Computing in Economics and Finance 2005 344, Society for Computational Economics.
    11. Orphanides, Athanasios & van Norden, Simon, 2005. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," CEPR Discussion Papers 4830, C.E.P.R. Discussion Papers.
    12. Cayen, Jean-Philippe & van Norden, Simon, 2004. "The reliability of Canadian output gap estimates," Discussion Paper Series 1: Economic Studies 2004,29, Deutsche Bundesbank.
    13. Charles St-Arnaud, 2004. "Une approche éclectique d'estimation du PIB potentiel pour le Royaume-Uni," Staff Working Papers 04-46, Bank of Canada.
    14. Pichette, Lise & Robitaille, Marie-Noëlle & Salameh, Mohanad & St-Amant, Pierre, 2019. "Dismiss the output gaps? To use with caution given their limitations," Economic Modelling, Elsevier, vol. 76(C), pages 199-215.
    15. Marc-André Gosselin & René Lalonde, 2006. "An Eclectic Approach to Estimating U.S. Potential GDP," Empirical Economics, Springer, vol. 31(4), pages 951-975, November.
    16. Hashmat Khan & Zhenhua Zhu, 2002. "Estimates of the Sticky-Information Phillips Curve for the United States, Canada, and the United Kingdom," Staff Working Papers 02-19, Bank of Canada.

  18. Athanasios Orphanides & Simon van Norden, 2001. "The Unreliability of Output Gap Estimates in Real Time," CIRANO Working Papers 2001s-57, CIRANO.

    Cited by:

    1. David Aikman & Michael T. Kiley & Seung Jung Lee & Michael G. Palumbo & Missaka Warusawitharana, 2015. "Mapping Heat in the U.S. Financial System," Finance and Economics Discussion Series 2015-59, Board of Governors of the Federal Reserve System (U.S.).
    2. Lucian Croitoru, 2016. "Are We Systematically Wrong when Estimating Potential Output and the Natural Rate of Interest?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 128-151, June.
    3. Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
    4. Güneş Kamber & James Morley & Benjamin Wong, 2017. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Reserve Bank of New Zealand Discussion Paper Series DP2017/01, Reserve Bank of New Zealand.
    5. Soojin Jo & Rodrigo Sekkel, 2019. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 436-446, July.
    6. Christopher Adam & David Cobham & Eric Girardin, 2005. "Monetary Frameworks and Institutional Constraints: UK Monetary Policy Reaction Functions, 1985–2003," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 497-516, August.
    7. Fabian Gunzinger & Jan-Egbert Sturm, 2016. "It's Politics, Stupid! Political Constraints Determined Governments' Reactions to the Great Recession," Kyklos, Wiley Blackwell, vol. 69(4), pages 584-603, November.
    8. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    9. Elisa Rubbo, 2023. "Networks, Phillips Curves, and Monetary Policy," Econometrica, Econometric Society, vol. 91(4), pages 1417-1455, July.
    10. Michael D. Bordo & Pierre L. Siklos, 2015. "Central Bank Credibility: An Historical and Quantitative Exploration," NBER Working Papers 20824, National Bureau of Economic Research, Inc.
    11. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the Euro Area potential output with a semi-structural multivariate Hodrick-Prescott filter," SciencePo Working papers Main hal-00972840, HAL.
    12. Karen E. Dynan & Douglas W. Elmendorf, 2001. "Do provisional estimates of output miss economic turning points?," Finance and Economics Discussion Series 2001-52, Board of Governors of the Federal Reserve System (U.S.).
    13. Wieland, Volker & Beck, Günter W., 2008. "Central Bank misperceptions and the role of money in interest rate rules," Working Paper Series 967, European Central Bank.
    14. Walsh, Carl E., 2004. "Implications of a Changing Economic Structure for the Strategy of Monetary Policy," Santa Cruz Department of Economics, Working Paper Series qt84g1q1g6, Department of Economics, UC Santa Cruz.
    15. Athanasios Orphanides, 2011. "Monetary Policy Lessons from the Crisis," Chapters, in: Sylvester Eijffinger & Donato Masciandaro (ed.), Handbook of Central Banking, Financial Regulation and Supervision, chapter 2, Edward Elgar Publishing.
    16. Michael T. Kiley, 2015. "What Can the Data Tell Us About the Equilibrium Real Interest Rate?," Finance and Economics Discussion Series 2015-77, Board of Governors of the Federal Reserve System (U.S.).
    17. Pagan, Adrian & Robinson, Tim, 2022. "Excess shocks can limit the economic interpretation," European Economic Review, Elsevier, vol. 145(C).
    18. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    19. Athanasios Orphanides & John C. Williams, 2008. "Imperfect knowledge and the pitfalls of optimal control monetary policy," Working Paper Series 2008-09, Federal Reserve Bank of San Francisco.
    20. Jean-Marc Fournier, 2016. "The Positive Effect of Public Investment on Potential Growth," OECD Economics Department Working Papers 1347, OECD Publishing.
    21. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    22. Miguel de Carvalho & Gabriel Martos, 2022. "Modeling interval trendlines: Symbolic singular spectrum analysis for interval time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 167-180, January.
    23. Jannsen, Nils & Wolters, Maik H., 2016. "Zu Produktionspotenzial und Produktionslücke in den Vereinigten Staaten," Kiel Insight 2016.2, Kiel Institute for the World Economy (IfW Kiel).
    24. Alessandro Flamini & Costas Milas, 2010. "Real-time Optimal Monetary Policy with Undistinguishable Model Parameters and Shock Processes Uncertainty," Working Papers 2010015, The University of Sheffield, Department of Economics, revised Jun 2010.
    25. Perry, Guillermo & Serven, Luis, 2003. "The anatomy of a multiple crisis : why was Argentina special and what can we learn from it?," Policy Research Working Paper Series 3081, The World Bank.
    26. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    27. Knut Are Aastveit & Anne Sofie Jore & Francesco Ravazzolo, 2014. "Forecasting recessions in real time," Working Paper 2014/02, Norges Bank.
    28. Martin Gächter & Aleksandra Riedl & Doris Ritzberger-Grünwald, 2012. "Business Cycle Synchronization in the Euro Area and the Impact of the Financial Crisis," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 33-60.
    29. Piergiorgio Alessandri & Pierluigi Bologna & Maddalena Galardo, 2020. "Financial crises, macroprudential policy and the reliability of credit-to-GDP gaps," Questioni di Economia e Finanza (Occasional Papers) 567, Bank of Italy, Economic Research and International Relations Area.
    30. Amy Y. Guisinger & Ruben Hernandez-Murillo & Michael T. Owyang & Tara M. Sinclair, 2015. "A State-Level Analysis of Okun's Law," Working Papers 2015-29, Federal Reserve Bank of St. Louis.
    31. Domenico Giannone & Lucrezia Reichlin & Luca Sala, 2005. "Monetary policy in real time," ULB Institutional Repository 2013/6401, ULB -- Universite Libre de Bruxelles.
    32. Isabell Koske & Nigel Pain, 2008. "The Usefulness of Output Gaps for Policy Analysis," OECD Economics Department Working Papers 621, OECD Publishing.
    33. Athanasios Orphanides & John C. Williams, 2002. "Robust Monetary Policy Rules with Unknown Natural Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 63-146.
    34. Costas Milas & Ruthira Naraidoo, 2009. "Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment," Working Paper series 42_09, Rimini Centre for Economic Analysis.
    35. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    36. Camila Figueroa & Jorge Fornero & Pablo García, 2019. "Hindsight vs. Real time measurement of the output gap: Implications for the Phillips curve in the Chilean Case," Working Papers Central Bank of Chile 854, Central Bank of Chile.
    37. Maja Ivanovic & Marijana Mitrovic-Mijatovic & Milena Vucinic, 2017. "The Towards identification of gaps in data availability for maintaining financial stability – the case of Montenegro," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.
    38. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    39. Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Mohamad Husam Helmi & Faek Nemla Ali & Coskun Akdeniz, 2016. "Monetary Policy Rules in Emerging Countries: Is there an Augmented Nonlinear Taylor Rule?," CESifo Working Paper Series 5965, CESifo.
    40. Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
    41. Scott A. Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Real Time," Working Papers 2019-037, Federal Reserve Bank of St. Louis, revised 11 Mar 2021.
    42. Chris McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," Reserve Bank of New Zealand Discussion Paper Series DP2016/10, Reserve Bank of New Zealand.
    43. Giorgio Primiceri, 2005. "Why Inflation Rose and Fell: Policymakers' Beliefs and US Postwar Stabilization Policy," NBER Working Papers 11147, National Bureau of Economic Research, Inc.
    44. Pedro Elosegui & Mirta González & María Cecilia Pérez & Máximo Sangiácomo, 2022. "A Diffusion Index Analysis of the Argentinean Business Economic Cycle During the COVID-19 Pandemic," BCRA Working Paper Series 2022105, Central Bank of Argentina, Economic Research Department.
    45. Klaus Schmidt-Hebbel & Carl E. Walsh, 2009. "Monetary Policy And Key Unobservables: Evidence From Large Industrial And Selected Inflation-Targeting Countries," Working Papers Central Bank of Chile 527, Central Bank of Chile.
    46. Gries, Thomas & Fritz, Marlon & Wiechers, Lukas, 2023. "Growth with Mismatch - Theory and Evidence from TFP Estimates," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277660, Verein für Socialpolitik / German Economic Association.
    47. Eric Ghysels & Casidhe Horan & Emanuel Moench, 2018. "Forecasting through the Rearview Mirror: Data Revisions and Bond Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 678-714.
    48. Lavan Mahadeva & Alex Muscatelli, 2005. "National Accounts Revisions and Output Gap Estimates in a Model of Monetary Policy with Data Uncertainty," Discussion Papers 14, Monetary Policy Committee Unit, Bank of England.
    49. Lise Pichette & Marie-Noëlle Robitaille, 2017. "Assessing the Business Outlook Survey Indicator Using Real-Time Data," Discussion Papers 17-5, Bank of Canada.
    50. Mabrouk Chetouane & Matthieu Lemoine & Marie-Elisabeth de La Serve, 2011. "Impact de la crise sur la croissance potentielle," Post-Print hal-03389354, HAL.
    51. Richard Harrison & George Kapetanios, 2004. "Forecasting with Measurement Errors in Dynamic Models," Working Papers 521, Queen Mary University of London, School of Economics and Finance.
    52. Jaromir Benes & Tibor Hledik & Jaromir Hurnik & Jiri Podpiera & Jan Vlcek, 2005. "CNB Economic Research Bulletin: Potential Output," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 3, number rb03/1 edited by Vladislav Flek, January.
    53. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2019. "Trends and cycles under changing economic conditions," Working Papers w201918, Banco de Portugal, Economics and Research Department.
    54. Claudio Borio & Marco Jacopo Lombardi & Fabrizio Zampolli, 2016. "Fiscal sustainability and the financial cycle," BIS Working Papers 552, Bank for International Settlements.
    55. Andreas Billmeier, 2009. "Ghostbusting: which output gap really matters?," International Economics and Economic Policy, Springer, vol. 6(4), pages 391-419, December.
    56. Massimiliano Marcellino & Alberto Musso, 2010. "the Reliability of Real Time Estimates of the EURO Area Output Gap," Economics Working Papers ECO2010/06, European University Institute.
    57. Ansgar Belke & Jens Klose, 2009. "Does the ECB Rely on a Taylor Rule?: Comparing Ex-post with Real Time Data," Discussion Papers of DIW Berlin 917, DIW Berlin, German Institute for Economic Research.
    58. Val鲩e Chouard & Daniel Fuentes Castro & Delphine Irac & Matthieu Lemoine, 2014. "Assessing the losses in euro area potential productivity due to the financial crisis," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2711-2720, August.
    59. Athanasios Orphanides & John C. Williams, 2007. "Robust monetary policy with imperfect knowledge," Working Paper Series 2007-08, Federal Reserve Bank of San Francisco.
    60. Bauer, Christian & Neuenkirch, Matthias, 2017. "Forecast uncertainty and the Taylor rule," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 99-116.
    61. Athanasios Orphanides & John C. Williams, 2004. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," International Finance Discussion Papers 804, Board of Governors of the Federal Reserve System (U.S.).
    62. Aurélien Goutsmedt & Goulven Rubin, 2018. "Robert J. Gordon and the Introduction of the Natural Rate Hypothesis in the Keynesian Framework," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02988080, HAL.
    63. Constantinescu, Mihnea & Nguyen, Anh Dinh Minh, 2021. "A century of gaps: Untangling business cycles from secular trends," Economic Modelling, Elsevier, vol. 100(C).
    64. Calista Cheung & Luke Frymire & Lise Pichette, 2020. "Can the Business Outlook Survey Help Improve Estimates of the Canadian Output Gap?," Discussion Papers 2020-14, Bank of Canada.
    65. Troy Davig & Michael Redmond, 2014. "Accounting for changes in the U.S. budget deficit," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 5-28.
    66. Yap, Josef T. & Majuca, Ruperto P. & Park, Cyn-Young, 2010. "The 2008 Financial Crisis and Potential Output in Asia: Impact and Policy Implications," Discussion Papers DP 2010-11, Philippine Institute for Development Studies.
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    68. Grintzalis, Ioannis & Lodge, David & Manu, Ana-Simona, 2017. "The implications of global and domestic credit cycles for emerging market economies: measures of finance-adjusted output gaps," Working Paper Series 2034, European Central Bank.
    69. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    70. Martin Mandler, 2009. "Decomposing Federal Funds Rate forecast uncertainty using real-time data," MAGKS Papers on Economics 200947, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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    530. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.
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    541. Sariola, Mikko, 2019. "An unobserved components model for Finland – Estimates of potential output and NAWRU," BoF Economics Review 2/2019, Bank of Finland.
    542. James H. Stock & Mark W. Watson, 2020. "Slack and Cyclically Sensitive Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S2), pages 393-428, December.
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    545. Tóth, Máté, 2021. "A multivariate unobserved components model to estimate potential output in the euro area: a production function based approach," Working Paper Series 2523, European Central Bank.
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    548. Matthieu Lemoine & Gian Luigi Mazzi & Paola Monperrus-Veroni & Frédéric Reynes, 2010. "A new production function estimate of the euro area output gap This paper is based on a report for Eurostat: 'Real time estimation of potential output, output gap, NAIRU and Phillips curve for Euro-zo," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 29-53.
    549. Matteo Cacciatore & Dmitry Matveev & Rodrigo Sekkel, 2022. "Uncertainty and Monetary Policy Experimentation: Empirical Challenges and Insights from Academic Literature," Discussion Papers 2022-9, Bank of Canada.
    550. Yasuo Hirose & Saori Naganuma, 2010. "Structural Estimation Of The Output Gap: A Bayesian Dsge Approach," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 864-879, October.
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  19. Athanasios Orphanides and Simon van Norden, 2001. "The Reliability of Inflation Forecasts Based on Output Gaps in Real Time," Computing in Economics and Finance 2001 247, Society for Computational Economics.

    Cited by:

    1. Athanasios Orphanides & John C. Williams, 2002. "Robust Monetary Policy Rules with Unknown Natural Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 63-146.
    2. Richard Harrison & George Kapetanios, 2004. "Forecasting with Measurement Errors in Dynamic Models," Working Papers 521, Queen Mary University of London, School of Economics and Finance.
    3. Clements, Michael P. & Galvão, Ana Beatriz, 2009. "First Announcements and Real Economic Activity," The Warwick Economics Research Paper Series (TWERPS) 885, University of Warwick, Department of Economics.
    4. Stracca, Livio & Musso, Alberto & van Dijk, Dick, 2007. "Instability and nonlinearity in the euro area Phillips curve," Working Paper Series 811, European Central Bank.
    5. Bernhardsen, Tom & Eitrheim, Øyvind & Jore, Anne Sofie & Røisland, Øistein, 2004. "Real-time Data for Norway: Challenges for Monetary Policy," Discussion Paper Series 1: Economic Studies 2004,26, Deutsche Bundesbank.
    6. Clements, Michael P. & Galvao, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation," Economic Research Papers 269743, University of Warwick - Department of Economics.
    7. Nelson, Edward & Nikolov, Kalin, 2001. "UK Inflation in the 1970s and 1980s: The Role of Output Gap Mismeasurement," CEPR Discussion Papers 2999, C.E.P.R. Discussion Papers.
    8. David E. Lindsey & Athanasios Orphanides & Robert H. Rasche, 2004. "The reform of October 1979: how it happened and why," Working Papers 2004-033, Federal Reserve Bank of St. Louis.
    9. Frédérick Demers, 2003. "The Canadian Phillips Curve and Regime Shifting," Staff Working Papers 03-32, Bank of Canada.
    10. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    11. Tom Bernhardsen & ØYvind Eitrheim, 2005. "Real-time data for Norway: Output gap revisions and challenges for monetary policy," Computing in Economics and Finance 2005 274, Society for Computational Economics.
    12. Ciccarelli, Matteo & Altavilla, Carlo, 2007. "Information combination and forecast (st)ability evidence from vintages of time-series data," Working Paper Series 846, European Central Bank.
    13. Mr. Papa M N'Diaye & Mr. Douglas Laxton, 2002. "Monetary Policy Credibility and the Unemployment-Inflation Tradeoff: Some Evidence From 17 Industrial Countries," IMF Working Papers 2002/220, International Monetary Fund.

  20. Marie-Josée Godbout & Simon van Norden, 1997. "Reconsidering Cointegration in International Finance: Three Case Studies of Size Distortion in Finite Samples," Staff Working Papers 97-1, Bank of Canada.

    Cited by:

    1. Boyer, M. Martin & van Norden, Simon, 2006. "Exchange rates and order flow in the long run," Finance Research Letters, Elsevier, vol. 3(4), pages 235-243, December.
    2. Lise Pichette, 2000. "Les effets réels du cours des actions sur la consommation," Staff Working Papers 00-21, Bank of Canada.
    3. David O. Cushman, 2000. "The failure of the monetary exchange rate model for the Canadian-U.S. dollar," Canadian Journal of Economics, Canadian Economics Association, vol. 33(3), pages 591-603, August.
    4. PINSHI, Christian P., 2020. "Rethinking Error Correction Model in Macroeconometric Analysis: A Relevant Review," MPRA Paper 102644, University Library of Munich, Germany.
    5. Robert A. Amano & Simon van Norden, 1995. "Oil Prices and the Rise and Fall of the U.S. Real Exchange Rate," International Finance 9502001, University Library of Munich, Germany.
    6. Angela Huang, 2004. "Examining finite-sample problems in the application of cointegration tests for long-run bilateral exchange rates," Reserve Bank of New Zealand Discussion Paper Series DP 2004/08, Reserve Bank of New Zealand.
    7. Christian P Pinshi, 2021. "Repenser le modèle à correction d'erreurs dans l'analyse macroéconométrique : Une revue," Working Papers hal-03168443, HAL.
    8. Marie-Josée Godbout & Simon van Norden, 1996. "Unit-Root Test and Excess Returns," Staff Working Papers 96-10, Bank of Canada.

  21. Pierre St-Amant & Simon van Norden, 1997. "Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada," Technical Reports 79, Bank of Canada.

    Cited by:

    1. Martha Misas & Enrique López, 2000. "La Utilización de la Capacidad Instalada de la Industria en Colombia: Un Nuevo Enfoque," Borradores de Economia 153, Banco de la Republica de Colombia.
    2. Dany Brouillette & Marie-Noëlle Robitaille & Laurence Savoie-Chabot & Pierre St-Amant & Bassirou Gueye & Elise Martin, 2019. "The Trend Unemployment Rate in Canada: Searching for the Unobservable," Staff Working Papers 19-13, Bank of Canada.
    3. Trejo García, José Carlos & Venegas-Martínez, Francisco & Martínez-García, Miguel Ángel, 2014. "Measuring Inflation Aversion Levels in Mexico through a Social Loss Function (2000-2011)," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Universidad Panamericana, Escuela de Ciencias Económicas y Empresariales & Universidad de las Améric (ed.), Teoría Económica: un panorama contemporáneo, volume 1, chapter 11, pages 255-272, Escuela Superior de Economía, Instituto Politécnico Nacional.
    4. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the Euro Area potential output with a semi-structural multivariate Hodrick-Prescott filter," SciencePo Working papers Main hal-00972840, HAL.
    5. Athanasios Orphanides & John C. Williams, 2002. "Robust Monetary Policy Rules with Unknown Natural Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 63-146.
    6. Marta Areosa, 2008. "Combining Hodrick-Prescott Filtering with a Production Function Approach to Estimate Output Gap," Working Papers Series 172, Central Bank of Brazil, Research Department.
    7. Martha Misas A. & Enrique López E., 2001. "Desequilibrios Reales en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 19(40), pages 5-45, December.
    8. Artur R. Sharafutdinov, 2023. "Output Gap in Russian Economy: Estimate Based on the IMF’s Multivariate Filter [Разрыв Выпуска В Российской Экономике: Оценка На Основе Многомерного Фильтра Мвф]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 4, pages 15-23, April.
    9. Kevin J. Lansing, 2002. "Learning about a shift in trend output: implications for monetary policy and inflation," Working Paper Series 2000-16, Federal Reserve Bank of San Francisco.
    10. Michael W. McCracken & Todd E. Clark, 2003. "The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence," Computing in Economics and Finance 2003 183, Society for Computational Economics.
    11. Martha López P., 2003. "Efficient Policy Rule for Inflation Targeting in Colombia," Borradores de Economia 240, Banco de la Republica de Colombia.
    12. Onur Ince & David H. Papell, 2013. "The (Un)Reliability of Real-Time Output Gap Estimates with Revised Data," Working Papers 13-02, Department of Economics, Appalachian State University.
    13. Andrew Hughes Hallett & Rasmus Kattai & John Lewis, 2009. "Can we rely on real time figures for cyclically adjusted budget balances?," Bank of Estonia Working Papers 2009-2, Bank of Estonia, revised 20 Oct 2009.
    14. Anthony Garratt & Kevin Lee & Emi Mise & Kalvinder Shields, 2006. "Real Time Representations of the Output Gap," Birkbeck Working Papers in Economics and Finance 0619, Birkbeck, Department of Economics, Mathematics & Statistics.
    15. Hjelm, Göran, 2003. "Simultaneous Determination of NAIRU, Output Gaps, and Structural Budget Balances: Swedish Evidence," Working Papers 81, National Institute of Economic Research.
    16. Kaloyan Ganev, 2004. "Statistical estimates of the deviations from the macroeconomic potential. An application to the economy of Bulgaria," Macroeconomics 0409010, University Library of Munich, Germany.
    17. Grech, Aaron George, 2004. "Estimating the output gap for the Maltese economy," MPRA Paper 33663, University Library of Munich, Germany.
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    19. Felipe Morandé & Mauricio Tejada, 2009. "Sources of Uncertainty in Conducting Monetary Policy in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 12, pages 451-509, Central Bank of Chile.
    20. Arturo Antón-Sarabia, 2008. "El problema al final de la muestra en la estimación del PIB potencial," Working papers DTE 442, CIDE, División de Economía.
    21. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    22. Vashchelyuk, N.V. (Ващелюк, Н.В.) & Zubarev, Andrey (Зубарев, Андрей) & Trunin, Pavel (Трунин, Павел), 2016. "Determination of the Output Gap for the Russian Economy [Определение Разрыва Выпуска Для Российской Экономики]," Working Papers 2137, Russian Presidential Academy of National Economy and Public Administration.
    23. Maral Kichian, 2000. "GAUSS™ Programs for the Estimation of State-Space Models with ARCH Errors: A User's Guide," Staff Working Papers 00-2, Bank of Canada.
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    25. ODIA NDONGO, Yves Francis, 2007. "Les sources des fluctuations marcoéconomiques au Cameroun," MPRA Paper 1308, University Library of Munich, Germany.
    26. Andrew Rennison, 2003. "Comparing Alternative Output-Gap Estimators: A Monte Carlo Approach," Staff Working Papers 03-8, Bank of Canada.
    27. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    28. Oezer Karagedikli & Ole Rummel, 2020. "Weighing up the Credit-to-GDP gap: A cautionary note," MAGKS Papers on Economics 202022, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    29. Russell Barnett & Sharon Kozicki & Christopher Petrinec, 2009. "Parsing shocks: real-time revisions to gap and growth projections for Canada," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 247-266.
    30. Van Norden, Simon, 2004. "Filtres pour l’analyse courante," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 523-546, Juin-Sept.
    31. Walter Engert & Jack Selody, 1998. "Uncertainty and Multiple Paradigms of the Transmission Mechanism," Staff Working Papers 98-7, Bank of Canada.
    32. P. Kiss, Gábor & Vadas, Gábor, 2005. "Légy résen! Az államháztartási egyenleg ciklikus igazítása [Be on your guard! Cyclically adjusted budget deficit]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 109-129.
    33. Wayne Robinson, 2004. "Real Shocks, Credibility & Stabilization Policy in a Small Open Economy," Money Affairs, CEMLA, vol. 0(1), pages 39-55, January-J.
    34. Athanasios Orphanides & Simon van Norden, 1999. "The Reliability of Output Gap Estimates in Real Time," Macroeconomics 9907006, University Library of Munich, Germany.
    35. Odile Chagny & Matthieu Lemoine, 2003. "Ecart de production dans la zone euro : une estimation par le filtre de Hodrick-Prescott multivarié," SciencePo Working papers Main hal-01019442, HAL.
    36. Eduardo Loría & Emmanuel Salas, 2015. "Mexico and the United States: cycle synchronization,1980.1-2013.4," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 75-102, May.
    37. João Sousa Andrade & António Portugal Duarte, 2012. "The Importance of a Good Indicator for Global Excess Demand," GEMF Working Papers 2012-15, GEMF, Faculty of Economics, University of Coimbra.
    38. Harri Kemp, 2014. "Measuring potential output for the South African economy: Embedding information about the financial cycle," Working Papers 03/2014, Stellenbosch University, Department of Economics.
    39. René Lalonde, 2000. "Le modèle USM d'analyse et de projection de l'économie américaine," Staff Working Papers 00-19, Bank of Canada.
    40. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    41. Dana Kloudová, 2016. "Does Using Nairu In The Production Function Influence Estimation Of Potential Output And Output Gap?," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 5(2), pages 1-21, June.
    42. Marc-André Gosselin & René Lalonde, 2002. "Une approche éclectique d'estimation du PIB potentiel américain," Staff Working Papers 02-36, Bank of Canada.
    43. Gonzalo Llosa & Shirley Miller, 2005. "Using additional information in estimating the output gap in Peru: a multivariate unobserved component approach," Working Papers 2005-004, Banco Central de Reserva del Perú.
    44. Grech, Aaron George, 2013. "Adapting the Hodrick-Prescott Filter for Very Small Open Economies," MPRA Paper 48803, University Library of Munich, Germany.
    45. Amador-Torres, J. Sebastián, 2017. "Finance-neutral potential output: An evaluation in an emerging market monetary policy context," Economic Systems, Elsevier, vol. 41(3), pages 389-407.
    46. James Yetman, 2000. "Probing Potential Output: Monetary Policy, Credibility, and Optimal Learning under Uncertainty," Staff Working Papers 00-10, Bank of Canada.
    47. Lise Pichette & Pierre St-Amant & Ben Tomlin & Karine Anoma, 2015. "Measuring Potential Output at the Bank of Canada: The Extended Multivariate Filter and the Integrated Framework," Discussion Papers 15-1, Bank of Canada.
    48. David Longworth & Brian O´Reilly, 2002. "The Monetary Policy Transmission Mechanism and Policy Rules in Canada," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy: Rules and Transmission Mechanisms, edition 1, volume 4, chapter 13, pages 357-392, Central Bank of Chile.
    49. Michael Graff, 2004. "Estimates of the output gap in real time: how well have we been doing?," Reserve Bank of New Zealand Discussion Paper Series DP 2004/04, Reserve Bank of New Zealand.
    50. David Laidler, 1999. "The Quantity of Money and Monetary Policy," Staff Working Papers 99-5, Bank of Canada.
    51. Odia Ndongo, Yves Francis, 2006. "Datation du Cycle du PIB Camerounais entre 1960 et 2003," MPRA Paper 552, University Library of Munich, Germany.
    52. Tatiana Cesaroni, 2010. "Estimating potential output using business survey data in a svar framework," Economics Bulletin, AccessEcon, vol. 30(3), pages 2249-2258.
    53. Grech, Aaron George, 2014. "Investigating potential output using the Hodrick-Prescott filter: an application for Malta," MPRA Paper 57131, University Library of Munich, Germany.
    54. Arturo Antón-Sarabia, 2009. "Efectos del ciclo económico en EE. UU. sobre la producción y el empleo en México," Working papers DTE 456, CIDE, División de Economía.
    55. Felipe Morandé Lavín & Mauricio Tejada, 2008. "Sources of Uncertainty for Conducting Monetary Policy in Chile," Working Papers wp285, University of Chile, Department of Economics.
    56. Anusha, "undated". "Evaluating reliability of some symmetric and asymmetric univariate filters," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2015-030, Indira Gandhi Institute of Development Research, Mumbai, India.
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    Cited by:

    1. Refet Gurkaynak, 2005. "Econometric Tests of Asset Price Bubbles: Taking Stock," Finance 0504008, University Library of Munich, Germany.
    2. Roche, Maurice J., 2001. "The rise in house prices in Dublin: bubble, fad or just fundamentals," Economic Modelling, Elsevier, vol. 18(2), pages 281-295, April.
    3. Brian Micallef, 2016. "Property price misalignment with fundamentals in Malta," CBM Working Papers WP/03/2016, Central Bank of Malta.
    4. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    5. Ozan Hatipoglu & Onur Uyar, 2012. "Do Bubbles Spill Over? Estimating Financial Bubbles in Emerging Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 64-75, November.
    6. Thérèse Laflèche, 1997. "Mesures du taux d'inflation tendanciel," Staff Working Papers 97-9, Bank of Canada.
    7. Kanas, Angelos & Yannopoulos, Andreas, 2001. "Comparing linear and nonlinear forecasts for stock returns," International Review of Economics & Finance, Elsevier, vol. 10(4), pages 383-398, December.
    8. Dmitry Kulikov, 2012. "Testing for Rational Speculative Bubbles on the Estonian Stock Market," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 4(1).
    9. Keith Anderson & Chris Brooks & Apostolos Katsaris, 2013. "Testing for speculative bubbles in asset prices," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 3, pages 73-94, Edward Elgar Publishing.
    10. Shuping Shi & Vipin Arora, 2011. "An Application Of Models Of Speculative Behaviour To Oil Prices," CAMA Working Papers 2011-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Yoon, Gawon, 2012. "Some properties of periodically collapsing bubbles," Economic Modelling, Elsevier, vol. 29(2), pages 299-302.
    12. Liu, Xiaoliang & Filler, Gunther & Odening, Martin, 2012. "Testing for Speculative Bubbles in Agricultural Commodity Prices: A Regime Switching Approach," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122554, European Association of Agricultural Economists.
    13. Knight, John & Satchell, Stephen & Srivastava, Nandini, 2014. "Steady state distributions for models of locally explosive regimes: Existence and econometric implications," Economic Modelling, Elsevier, vol. 41(C), pages 281-288.
    14. MeiChi Huang, 2013. "The Role of People’s Expectation in the Recent US Housing Boom and Bust," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 452-479, April.
    15. Maurice J. Roche, 1999. "Irish house prices: will the roof fall in?," Economics Department Working Paper Series n890699, Department of Economics, National University of Ireland - Maynooth.
    16. John Knight & Stephen Satchell & Nandini Srivastava, 2012. "Steady-State Distributions for Models of Bubbles: their Existence and Econometric Implications," Birkbeck Working Papers in Economics and Finance 1208, Birkbeck, Department of Economics, Mathematics & Statistics.
    17. Chris Brooks & Apostolos Katsaris, 2006. "Speculative Bubbles in the S&P 500: Was the Tech Bubble Confined to the Tech Sector?," ICMA Centre Discussion Papers in Finance icma-dp2006-07, Henley Business School, University of Reading.
    18. Martin Schneider, 2013. "Are Recent Increases of Residential Property Prices in Vienna and Austria Justified by Fundamentals?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 29-46.
    19. Manzan, S., 2003. "Nonlinear Mean Reversion in Stock Prices," CeNDEF Working Papers 03-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    20. Taamouti, Abderrahim, 2012. "Moments of multivariate regime switching with application to risk-return trade-off," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 292-308.
    21. Chris Brooks & Apostolos Katsaris, 2002. "Forecasting the Collapse of Speculative Bubbles: An Empirical Investigation of the S&P 500 Composite Index," ICMA Centre Discussion Papers in Finance icma-dp2002-04, Henley Business School, University of Reading.
    22. Wei Huang & Kin Keung Lai & Yoshiteru Nakamori & Shouyang Wang & Lean Yu, 2007. "Neural Networks In Finance And Economics Forecasting," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 113-140.
    23. Bell, Adrian R. & Brooks, Chris & Killick, Helen, 2022. "The first real estate bubble? Land prices and rents in medieval England c. 1300–1500," Research in International Business and Finance, Elsevier, vol. 62(C).
    24. Yan, Wu & Powell, John G. & Shi, Jing & Xu, Wei, 2007. "Chinese stock market cyclical regimes: 1991-2006," Economics Letters, Elsevier, vol. 97(3), pages 235-239, December.
    25. Matthew L. Higgins & Frank Ofori-Acheampong, 2018. "A Markov Regime-Switching Model with Time-Varying Transition Probabilities for Identifying Asset Price Bubbles," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 1-14, April.
    26. Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
    27. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    28. Gonzalez, Liliana & Powell, John G. & Shi, Jing & Wilson, Antony, 2005. "Two centuries of bull and bear market cycles," International Review of Economics & Finance, Elsevier, vol. 14(4), pages 469-486.
    29. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.
    30. Maurice J. Roche, 1999. "Irish House Prices - Will the Roof Cave In?," The Economic and Social Review, Economic and Social Studies, vol. 30(4), pages 343-362.
    31. Wasim Ahmad & N. Bhanumurthy & Sanjay Sehgal, 2015. "Regime dependent dynamics and European stock markets: Is asset allocation really possible?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(1), pages 77-107, February.
    32. Theodosios Perifanis, 2019. "Detecting West Texas Intermediate (WTI) Prices’ Bubble Periods," Energies, MDPI, vol. 12(14), pages 1-16, July.
    33. Chris Brooks & Apostolos Katsaris, 2002. "A Three-Regime Model of Speculative Behaviour: Modelling the Evolution of Bubbles in the S&P 500 Composite Index," ICMA Centre Discussion Papers in Finance icma-dp2002-14, Henley Business School, University of Reading.
    34. Uribe Gil, Jorge Mario, 2013. "Testing for multiple bubbles with daily data," Documentos de Trabajo 11028, Universidad del Valle, CIDSE.
    35. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.
    36. MeiChi Huang, 2014. "Monetary policy implications of housing shift-contagion across regional markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 589-608, October.

  23. Robert Vigfusson & Simon van Norden, 1996. "Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?," Staff Working Papers 96-11, Bank of Canada.

    Cited by:

    1. Roche, Maurice J., 2001. "The rise in house prices in Dublin: bubble, fad or just fundamentals," Economic Modelling, Elsevier, vol. 18(2), pages 281-295, April.
    2. Taipalus, Katja, 2012. "Detecting asset price bubbles with time-series methods," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2012_047.
    3. Al-Anaswah, Nael & Wilfling, Bernd, 2011. "Identification of speculative bubbles using state-space models with Markov-switching," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1073-1086, May.
    4. Kim, Bong Han & Min, Hong-Ghi, 2011. "Household lending, interest rates and housing price bubbles in Korea: Regime switching model and Kalman filter approach," Economic Modelling, Elsevier, vol. 28(3), pages 1415-1423, May.
    5. Catherine Araujo Bonjean & Catherine Simonet, 2016. "Are grain markets in Niger driven by speculation?," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 714-735.
    6. Maurice J. Roche & Kieran McQuinn, 2000. "Speculation in agricultural land," Economics Department Working Paper Series n1010700, Department of Economics, National University of Ireland - Maynooth.
    7. Mc Quinn, Kieran, 2004. "A Model of the Irish Housing Sector," Research Technical Papers 1/RT/04, Central Bank of Ireland.
    8. Maurice J. Roche, 1999. "Irish House Prices - Will the Roof Cave In?," The Economic and Social Review, Economic and Social Studies, vol. 30(4), pages 343-362.
    9. Catherine Araujo Bonjean & Catherine Simonet, 2012. "Are grain markets in Niger driven by speculation?," CERDI Working papers halshs-00626409, HAL.
    10. Byron J. Idrovo-Aguirre & Francisco J. Lozano & Javier E. Contreras-Reyes, 2021. "Prosperity or Real Estate Bubble? Exuberance Probability Index of Real Housing Prices in Chile," IJFS, MDPI, vol. 9(3), pages 1-24, September.

  24. Marie-Josée Godbout & Simon van Norden, 1996. "Unit-Root Test and Excess Returns," Staff Working Papers 96-10, Bank of Canada.

    Cited by:

    1. Zivot, Eric, 2000. "Cointegration and forward and spot exchange rate regressions," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 785-812, December.
    2. Eric Zivot, 1998. "Cointegration and Forward and Spot Exchange Rate Regressions," Econometrics 9812001, University Library of Munich, Germany.
    3. Joseph Atta-Mensah, 2004. "Money Demand and Economic Uncertainty," Staff Working Papers 04-25, Bank of Canada.

  25. John Murray & Simon van Norden & Robert Vigfusson, 1996. "Excess Volatility and Speculative Bubbles in the Canadian Dollar: Real of Imagined?," Technical Reports 76, Bank of Canada.

    Cited by:

    1. David Laidler, 1999. "Canada's Exchange Rate Options," Canadian Public Policy, University of Toronto Press, vol. 25(3), pages 324-332, September.
    2. Murray, John, 2000. "Why Canada needs a flexible exchange rate," The North American Journal of Economics and Finance, Elsevier, vol. 11(1), pages 41-60, August.
    3. corrinne ho & robert n mccauley, 2004. "Living with flexible exchange rates:," International Finance 0411003, University Library of Munich, Germany.
    4. Binyam Solomon, 2003. "Defence specific inflation: A Canadian perspective," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(1), pages 19-36.
    5. John Murray & Mark Zelmer & Zahir Antia, 2000. "International Financial Crises and Flexible Exchange Rates: Some Policy Lessons from Canada," Technical Reports 88, Bank of Canada.
    6. David Laidler, 1999. "The Exchange Rate Regime and Canada's Monetary Order," Staff Working Papers 99-7, Bank of Canada.
    7. William R. White, 1999. "Evolving international financial markets: some implications for Central Banks," BIS Working Papers 66, Bank for International Settlements.
    8. William R. White, 2000. "What have we learned from recent financial crises and policy responses?," BIS Working Papers 84, Bank for International Settlements.
    9. Corrinne Ho & Robert N. McCauley, 2003. "Living with flexible exchange rates: issues and recent experience in inflation targeting emerging market economies," BIS Working Papers 130, Bank for International Settlements.
    10. Neil Beattie & Jean-François Fillion, 1999. "An Intraday Analysis of the Effectiveness of Foreign Exchange Intervention," Staff Working Papers 99-4, Bank of Canada.
    11. Jeff M. Rogers & Pierre Siklos, 2001. "Foreign Exchange Market Intervention in Two Small Open Economies: The Canadian and Australian Experience," Research Paper Series 57, Quantitative Finance Research Centre, University of Technology, Sydney.

  26. Simon van Norden & Huntley Schaller, 1996. "Speculative Behaviour, Regime-Switching and Stock Market Crashes," Staff Working Papers 96-13, Bank of Canada.

    Cited by:

    1. Isabelle Weberpals, 1997. "The Liquidity Trap: Evidence from Japan," Staff Working Papers 97-4, Bank of Canada.
    2. Gordon W. Crawford & Michael C. Fratantoni, 2003. "Assessing the Forecasting Performance of Regime‐Switching, ARIMA and GARCH Models of House Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(2), pages 223-243, June.
    3. Kevin J. Lansing, 2007. "Rational and near-rational bubbles without drift," Working Paper Series 2007-10, Federal Reserve Bank of San Francisco.
    4. Carlos Canizares Martinez, 2023. "Leaning against housing booms fueled by credit," Working Papers 513, University of Milano-Bicocca, Department of Economics.
    5. Ryan Lemand, 2003. "The Contagion Effect Between the Volatilities of the NASDAQ-100 and the IT.CA :A Univariate and A Bivariate Switching Approach," Econometrics 0307002, University Library of Munich, Germany, revised 07 Dec 2020.
    6. Keith Anderson & Chris Brooks & Sotiris Tsolacos, 2009. "Testing for periodically collapsing rational speculative bubbles in US REITs," ICMA Centre Discussion Papers in Finance icma-dp2009-11, Henley Business School, University of Reading.
    7. Nick Chamie & Alain DeSerres & René Lalonde, "undated". "Optimum Currency Areas and Shock Asymmetry: A Comparison of Europe and the United States," Staff Working Papers 94-1, Bank of Canada.
    8. Daniel Racette & Jacques Raynauld & Christian Sigouin, 1995. "An Up-to-Date and Improved BVAR Model of the Canadian Economy," Macroeconomics 9503002, University Library of Munich, Germany.
    9. McMillan, David G., 2009. "Revisiting dividend yield dynamics and returns predictability: Evidence from a time-varying ESTR model," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 870-883, August.
    10. Simon van Norden & Robert Vigfusson, 1996. "Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?," Meeting papers 9603001, University Library of Munich, Germany.
    11. Nathan S. Balke & Mark E. Wohar, 2009. "Market fundamentals versus rational bubbles in stock prices: a Bayesian perspective," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 35-75.
    12. Ryan Lemand, 2003. "New Technology Stock Market Indexes Contagion: A VAR-dccMVGARCH Approach," Econometrics 0307003, University Library of Munich, Germany, revised 07 Dec 2020.
    13. Simon van Norden & Huntley Schaller, 2002. "Fads or bubbles?," Empirical Economics, Springer, vol. 27(2), pages 335-362.
    14. Sandeep Patel & Asani Sarkar, 1998. "Stock market crises in developed and emerging markets," Research Paper 9809, Federal Reserve Bank of New York.
    15. van Norden, Simon, 1996. "Regime Switching as a Test for Exchange Rate Bubbles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(3), pages 219-251, May-June.
    16. Chris Brooks & Apostolos Katsaris, 2002. "Forecasting the Collapse of Speculative Bubbles: An Empirical Investigation of the S&P 500 Composite Index," ICMA Centre Discussion Papers in Finance icma-dp2002-04, Henley Business School, University of Reading.
    17. Vansteenkiste, Isabel, 2017. "Did the crisis permanently scar the Portuguese labour market? Evidence from a Markov-switching Beveridge curve analysis," Working Paper Series 2043, European Central Bank.
    18. Vansteenkiste, Isabel, 2011. "What is driving oil futures prices? Fundamentals versus speculation," Working Paper Series 1371, European Central Bank.
    19. Lof, Matthijs, 2010. "Heterogeneity in Stock Pricing: A STAR Model with Multivariate Transition Functions," MPRA Paper 30520, University Library of Munich, Germany.
    20. Nick Chamie & Alain DeSerres & Rene Lalonde, 1994. "Optimum Currency Areas and Shock Asymmetry A Comparison of Europe and the United States," International Finance 9406001, University Library of Munich, Germany, revised 19 Aug 1994.
    21. Barry Cozier & Greg Tkacz, "undated". "The Term Structure and Real Activity in Canada," Staff Working Papers 94-3, Bank of Canada.
    22. Ryan Lemand, 2003. "Should Stock Market Indexes Time Varying Correlations Be Taken Into Account? A Conditional Variance Multivariate Approach," Econometrics 0307004, University Library of Munich, Germany, revised 07 Dec 2020.
    23. Chris Brooks & Apostolos Katsaris, 2002. "A Three-Regime Model of Speculative Behaviour: Modelling the Evolution of Bubbles in the S&P 500 Composite Index," ICMA Centre Discussion Papers in Finance icma-dp2002-14, Henley Business School, University of Reading.

  27. Robert Amano & Paul Fenton & David Tessier & Simon van Norden, 1996. "The credibility of monetary policy: a survey of the literature with some simple applications to Caanda," Meeting papers 9610001, University Library of Munich, Germany.

    Cited by:

    1. Robert Amano & Donald Coletti & Tiff Macklem, 1999. "Monetary Rules When Economic Behaviour Changes," Staff Working Papers 99-8, Bank of Canada.
    2. H. Askari, 1999. "Twenty-five years of post-Bretton Woods experience: some lessons," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 52(208), pages 3-38.
    3. Antulio N. Bomfim & Glenn D. Rudebusch, 1997. "Opportunistic and deliberate disinflation under imperfect credibility," Working Papers in Applied Economic Theory 97-07, Federal Reserve Bank of San Francisco.
    4. Gordon de Brouwer & Luci Ellis, 1998. "Forward-looking Behaviour and Credibility: Some Evidence and Implications for Policy," RBA Research Discussion Papers rdp9803, Reserve Bank of Australia.

  28. Simon van Norden & Robert Vigfusson, 1996. "Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures," Staff Working Papers 96-3, Bank of Canada.

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    1. Isabelle Weberpals, 1997. "The Liquidity Trap: Evidence from Japan," Staff Working Papers 97-4, Bank of Canada.
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    32. Kim, Bong Han & Min, Hong-Ghi, 2011. "Household lending, interest rates and housing price bubbles in Korea: Regime switching model and Kalman filter approach," Economic Modelling, Elsevier, vol. 28(3), pages 1415-1423, May.
    33. Ayşe GÜVELİ, 2019. "2000 Families Research: Some Findings and Potential for Future Research," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 60(1), pages 87-104, December.
    34. Luboš Komárek & Ivana Kubicová, 2011. "Možnosti identifikace bublin cen aktiv v české ekonomice [Methods of Identification Asset Price Bubbles In the Czech Economy]," Politická ekonomie, Prague University of Economics and Business, vol. 2011(2), pages 164-183.
    35. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    36. Catherine Araujo Bonjean & Catherine Simonet, 2016. "Are grain markets in Niger driven by speculation?," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 714-735.
    37. Dirk G Baur & Kristoffer Glover, 2012. "A Gold Bubble?," Working Paper Series 175, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    38. Vipin Arora & Shuping Shi, 2013. "A Heterogenous Agent Foundation for Tests of Asset Price Bubbles," CAMA Working Papers 2013-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    39. Maximilian Brauers & Matthias Thomas & Joachim Zietz, 2014. "Are There Rational Bubbles in REITs? New Evidence from a Complex Systems Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 165-184, August.
    40. Yan Li & Zhicheng Wang & Hongchuan Wang & Meiyu Wu & Lingling Xie, 2021. "Identifying price bubble periods in the Bitcoin market-based on GSADF model," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1829-1844, October.
    41. WAJIH KHALLOULI & MOHAMED Ayadi & RENE SANDRETTO, 2013. "Fondamentaux, Contagion Et Dynamique Des Anticipations :Une Evaluation A Partir De La Crise Financiere Coreenne," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 56(2), pages 175-189.
    42. Chen, Shyh-Wei & Hsu, Chi-Sheng & Xie, Zixong, 2016. "Are there periodically collapsing bubbles in the stock markets? New international evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 442-451.
    43. Mc Quinn, Kieran, 2004. "A Model of the Irish Housing Sector," Research Technical Papers 1/RT/04, Central Bank of Ireland.
    44. Anderson, Keith & Brooks, Chris, 2014. "Speculative bubbles and the cross-sectional variation in stock returns," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 20-31.
    45. Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
    46. Iskandar Simorangkir, 2012. "Study on early Warning Indicators of Bank Runs: Markov-Switching Approach," EcoMod2012 4147, EcoMod.
    47. Yang Hu & Les Oxley, 2016. "Are there Bubbles in Exchange Rates? Some New Evidence from G10 and Emerging Markets Countries," Working Papers in Economics 16/05, University of Waikato.
    48. Simon van Norden & Huntley Schaller & ), 1995. "Speculative Behaviour, Regime-Switching, and Stock Market Crashes," Econometrics 9502003, University Library of Munich, Germany.
    49. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    50. Zhang, Yue-Jun & Wang, Jing, 2015. "Exploring the WTI crude oil price bubble process using the Markov regime switching model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 377-387.
    51. McMillan, David G., 2007. "Bubbles in the dividend-price ratio? Evidence from an asymmetric exponential smooth-transition model," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 787-804, March.
    52. David G. McMillan, 2009. "Are Uk Share Prices Too High? Fundamental Value Or New Era," Bulletin of Economic Research, Wiley Blackwell, vol. 61(1), pages 1-20, January.
    53. Deev, Oleg & Kajurova, Veronika & Stavarek, Daniel, 2013. "Testing rational speculative bubbles in Central European stock markets," MPRA Paper 46582, University Library of Munich, Germany.
    54. Maldonado, Wilfredo L. & Tourinho, Octávio A.F. & Valli, Marcos, 2012. "Exchange rate bubbles: Fundamental value estimation and rational expectations test," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1033-1059.
    55. Hu, Yang & Oxley, Les, 2017. "Are there bubbles in exchange rates? Some new evidence from G10 and emerging market economies," Economic Modelling, Elsevier, vol. 64(C), pages 419-442.
    56. Baur, Dirk G. & Glover, Kristoffer J., 2015. "Speculative trading in the gold market," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 63-71.
    57. Wilfredo L. Maldonado & Octávio A. F. Tourinho & Jorge A. B. M. de Abreu, 2014. "Cointegrated Periodically Collapsing Bubbles in the Exchange Rate of 'BRICS' Countries," CAMA Working Papers 2014-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    58. Catherine Araujo Bonjean & Catherine Simonet, 2012. "Are grain markets in Niger driven by speculation?," CERDI Working papers halshs-00626409, HAL.
    59. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2016. "Non-linearities in financial bubbles: Theory and Bayesian evidence from S&P500," Journal of Financial Stability, Elsevier, vol. 24(C), pages 61-70.
    60. Vijay Kumar Vishwakarma & Ohannes George Paskelian, 2012. "Bubble In The Indian Real Estate Markets: Identification Using Regime-Switching Methodology," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(3), pages 27-40.
    61. Uribe Gil, Jorge Mario, 2013. "Testing for multiple bubbles with daily data," Documentos de Trabajo 11028, Universidad del Valle, CIDSE.
    62. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  34. Robert A. Amano & Simon van Norden, 1995. "Unit Root Tests and the Burden of Proof," Econometrics 9502005, University Library of Munich, Germany.

    Cited by:

    1. Leo Butler, 1996. "The Bank of Canada's New Quarterly Porjection Model Part 4 : A Semi- Structural Method to Estimate Potential Output : Combining Economic Theory with a Time-Series Filter," Technical Reports 77, Bank of Canada.
    2. Vicente Esteve, "undated". "Política fiscal y productividad del trabajo en la economía espanola: Un análisis de series temporales," Studies on the Spanish Economy 156, FEDEA.
    3. Carrion-i-Silvestre, Josep Lluis & Sanso-i-Rossello, Andreu & Ortuno, Manuel Artis, 2001. "Unit root and stationarity tests' wedding," Economics Letters, Elsevier, vol. 70(1), pages 1-8, January.
    4. Jaromír Hurník & David Navrátil, 2005. "Labor-Market Performance and Macroeconomic Policy: Time-Varying NAIRU in the Czech Republic (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 55(1-2), pages 25-40, January.
    5. Schlitzer, Giuseppe, 1995. "Testing the stationarity of economic time series: further Monte Carlo evidence," Ricerche Economiche, Elsevier, vol. 49(2), pages 125-144, June.
    6. Gauthier Tshiswaka-Kashalala, 2006. "Is Fiscal Policy Sustainable in South Africa? An Application of the Econometric Approach," Working Papers 200614, University of Pretoria, Department of Economics.
    7. Trofimov, Ivan D. & Md. Aris, Nazaria & Bin Rosli, Muhammad K. F., 2018. "Macroeconomic Determinants of the Labour Share of Income: Evidence from OECD Economies," MPRA Paper 85597, University Library of Munich, Germany.
    8. Robert A. Amano & Simon van Norden, 1995. "Oil Prices and the Rise and Fall of the U.S. Real Exchange Rate," International Finance 9502001, University Library of Munich, Germany.
    9. Denise Côté & Doug Hostland, 1996. "An Econometric Examination of the Trend Unemployment Rate in Canada," Staff Working Papers 96-7, Bank of Canada.
    10. Tang, Chor Foon & Lai, Yew Wah, 2011. "The Stability of Export-led Growth Hypothesis: Evidence from Asia's Four Little Dragons," MPRA Paper 27962, University Library of Munich, Germany.
    11. Shahbaz, Muhammad & Ferrer, Román & Hussain Shahzad, Syed Jawad & Haouas, Ilham, 2017. "Is the tourism-economic growth nexus time-varying? Bootstrap rolling-window causality analysis for the top ten tourist destinations," MPRA Paper 82713, University Library of Munich, Germany, revised 04 Nov 2017.
    12. Josep Lluís Carrion-i-Silvestre & Andreu Sansó, 2005. "The KPSS Test with Two Structural Breaks," DEA Working Papers 13, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    13. Tony Wirjanto, 2004. "Exploring consumption-based asset pricing model with stochastic-trend forcing processes," Applied Economics, Taylor & Francis Journals, vol. 36(14), pages 1591-1597.
    14. Eskandar Elmarzougui & Bruno Larue, 2013. "On the Evolving Relationship Between Corn and Oil Prices," Agribusiness, John Wiley & Sons, Ltd., vol. 29(3), pages 344-360, June.
    15. Jean-François Fillion, 1996. "L'endettement du Canada et ses effets sur les taux d'interet reels de long term," Staff Working Papers 96-14, Bank of Canada.
    16. Tang, Chor Foon, 2010. "The determinants of health expenditure in Malaysia: A time series analysis," MPRA Paper 24356, University Library of Munich, Germany.
    17. Tang, Chor Foon & Shahbaz, Muhammad, 2011. "Revisiting the Electricity Consumption-Growth Nexus for Portugal: Evidence from a Multivariate Framework Analysis," MPRA Paper 28393, University Library of Munich, Germany.
    18. Amano, Robert A. & van Norden, Simon, 1995. "Terms of trade and real exchange rates: the Canadian evidence," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 83-104, February.
    19. Jean-François Fillion, "undated". "L'endettement du secteur prive au Canada: un examen macroeconomique," Staff Working Papers 94-7, Bank of Canada.
    20. Jean-Francois Fillion, 1995. "L'endettement du secteur prive au Canada: un examen macroeconomique," Macroeconomics 9502006, University Library of Munich, Germany.
    21. Gabriel, Vasco J., 2003. "Cointegration and the joint confirmation hypothesis," Economics Letters, Elsevier, vol. 78(1), pages 17-25, January.
    22. Eriksson , Åsa, 2004. "Testing Structural Hypotheses on Cointegration Vectors: A Monte Carlo Study," Working Papers 2004:29, Lund University, Department of Economics.
    23. Ivan D. TROFIMOV & Nazaria Md. ARIS & Muhammad Khairil Firdaus Bin ROSLI, 2018. "Macroeconomic determinants of the labour share of income: Evidence from OECD economies," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(616), A), pages 25-48, Autumn.
    24. Amano, Robert A., 1998. "On the Optimal Seigniorage Hypothesis," Journal of Macroeconomics, Elsevier, vol. 20(2), pages 295-308, April.
    25. Pascalau, Razvan, 2008. "Unit Roots Tests with Smooth Breaks: An Application to the Nelson-Plosser Data Set," MPRA Paper 7220, University Library of Munich, Germany.
    26. Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).

  35. Jeff Gable & Simon van Norden & Robert Vigfusson, "undated". "Analytical Derivatives for Markov Switching Models," Staff Working Papers 95-7, Bank of Canada.

    Cited by:

    1. Ryan Lemand, 2003. "The Contagion Effect Between the Volatilities of the NASDAQ-100 and the IT.CA :A Univariate and A Bivariate Switching Approach," Econometrics 0307002, University Library of Munich, Germany, revised 07 Dec 2020.
    2. Ryan Lemand, 2003. "New Technology Stock Market Indexes Contagion: A VAR-dccMVGARCH Approach," Econometrics 0307003, University Library of Munich, Germany, revised 07 Dec 2020.
    3. John Murray & Simon van Norden & Robert Vigfusson, 1996. "Excess Volatility and Speculative Bubbles in the Canadian Dollar: Real of Imagined?," Technical Reports 76, Bank of Canada.
    4. Simon van Norden & Robert Vigfusson, 1996. "Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures," Staff Working Papers 96-3, Bank of Canada.
    5. Andrew P. Blake, 2004. "Analytic Derivatives for Linear Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 24(1), pages 77-96, August.
    6. Yang, Minxian, 2001. "Closed-form likelihood function of Markov-switching models," Economics Letters, Elsevier, vol. 70(3), pages 319-326, March.
    7. Maddalena Cavicchioli, 2021. "Statistical inference for mixture GARCH models with financial application," Computational Statistics, Springer, vol. 36(4), pages 2615-2642, December.
    8. Ryan Lemand, 2003. "Should Stock Market Indexes Time Varying Correlations Be Taken Into Account? A Conditional Variance Multivariate Approach," Econometrics 0307004, University Library of Munich, Germany, revised 07 Dec 2020.

Articles

  1. Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2022. "Can GDP Measurement Be Further Improved? Data Revision and Reconciliation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 423-431, January.
    See citations under working paper version above.
  2. Croushore, Dean & van Norden, Simon, 2019. "Fiscal Surprises at the FOMC," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1583-1595.
    See citations under working paper version above.
  3. Galbraith, John W. & van Norden, Simon, 2019. "Asymmetry in unemployment rate forecast errors," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1613-1626.

    Cited by:

    1. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    2. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    3. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    4. Todd Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model," Working Papers 2307, University of Strathclyde Business School, Department of Economics.
    5. Marcellino, Massimiliano & Clark, Todd & Huber, Florian & Koop, Gary & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
    6. Donayre, Luiggi, 2022. "On the behavior of Okun's law across business cycles," Economic Modelling, Elsevier, vol. 112(C).
    7. Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
    8. Tanujit Chakraborty & Ashis Kumar Chakraborty & Munmun Biswas & Sayak Banerjee & Shramana Bhattacharya, 2021. "Unemployment Rate Forecasting: A Hybrid Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 183-201, January.
    9. Bas Scheer, 2022. "Addressing Unemployment Rate Forecast Errors in Relation to the Business Cycle," CPB Discussion Paper 434, CPB Netherlands Bureau for Economic Policy Analysis.
    10. Ovidiu BUZOIANU & Amelia DIACONU & Marcela Antoaneta NICULESCU & Silviu DIACONU, 2020. "Analysis Of The Economic And Social Effects Of Unemployment In Romania," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 705-711, November.
    11. Muneeb Ahmad & Yousaf Ali Khan & Chonghui Jiang & Syed Jawad Haider Kazmi & Syed Zaheer Abbas, 2023. "The impact of COVID‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 528-543, January.

  4. Dean Croushore & Simon van Norden, 2018. "Fiscal Forecasts at the FOMC: Evidence from the Greenbooks," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 933-945, December.
    See citations under working paper version above.
  5. Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.

    Cited by:

    1. Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
    2. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R, Federal Reserve Bank of Cleveland, revised 15 Aug 2022.
    3. Sayag, Doron & Ben-hur, Dano & Pfeffermann, Danny, 2022. "Reducing revisions in hedonic house price indices by the use of nowcasts," International Journal of Forecasting, Elsevier, vol. 38(1), pages 253-266.
    4. Croushore, Dean & Del Monaco Santos, Pedro, 2022. "The personal saving rate: Data revisions and forecasts," Economics Letters, Elsevier, vol. 219(C).
    5. Jonas Dovern & Christopher Zuber, 2020. "Recessions and Potential Output: Disentangling Measurement Errors, Supply Shocks, and Hysteresis Effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(4), pages 1431-1466, October.

  6. Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing & van Norden, Simon, 2015. "Trend In Cycle Or Cycle In Trend? New Structural Identifications For Unobserved-Components Models Of U.S. Real Gdp," Macroeconomic Dynamics, Cambridge University Press, vol. 19(4), pages 776-790, June.

    Cited by:

    1. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    2. Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
    3. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Andrew E. Evans, 2020. "Average labour productivity dynamics over the business cycle," Empirical Economics, Springer, vol. 59(4), pages 1833-1863, October.
    5. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
    6. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.

  7. M. Dungey & J. P. A. M. Jacobs & J. Tian & S. van Norden, 2013. "On the correspondence between data revision and trend-cycle decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 20(4), pages 316-319, March.
    See citations under working paper version above.
  8. M. Martin Boyer & Eric Jacquier & Simon Van Norden, 2012. "Are Underwriting Cycles Real and Forecastable?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(4), pages 995-1015, December.

    Cited by:

    1. Elisa Luciano & Jean-Charles Rochet, 2022. "The Fluctuations of Insurers’ Risk Appetite," Post-Print hal-04052327, HAL.
    2. Bruno Feunou & Mohammad R. Jahan-Parvar & Cédric Okou, 2015. "Downside Variance Risk Premium," Staff Working Papers 15-36, Bank of Canada.
    3. Maik Dehnert, 2020. "Sustaining the current or pursuing the new: incumbent digital transformation strategies in the financial service industry," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1071-1113, November.
    4. David L. Dicks & James R. Garven, 2022. "Asymmetric information and insurance cycles," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 449-474, June.
    5. Christian Biener & Martin Eling, 2013. "Recent Research Developments Affecting Nonlife Insurance—The CAS Risk Premium Project 2012 Update," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(2), pages 219-231, September.
    6. Loubergé, Henri & Dionne, Georges, 2024. "Developments in risk and insurance economics: The past 50 years," Working Papers 24-1, HEC Montreal, Canada Research Chair in Risk Management.
    7. Elisa Luciano & Jean Charles Rochet, 2021. "Risk Appetite Fluctuations in the Insurance Industry," Carlo Alberto Notebooks 666 JEL Classification: G, Collegio Carlo Alberto.
    8. Feng Frank Y. & Powers Michael R., 2019. "Ordinary and Markov-Switching Autoregressive Models for Firm-Level Underwriting Data," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 13(2), pages 1-16, July.
    9. Key Pousttchi & Alexander Gleiss, 2019. "Surrounded by middlemen - how multi-sided platforms change the insurance industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 609-629, December.
    10. Sedar Olmez & Akhil Ahmed & Keith Kam & Zhe Feng & Alan Tua, 2023. "Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: a Lloyd's of London Case Study," Papers 2307.05581, arXiv.org.

  9. John W. Galbraith & Simon van Norden, 2012. "Assessing gross domestic product and inflation probability forecasts derived from Bank of England fan charts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(3), pages 713-727, July.

    Cited by:

    1. Gergely Ganics & Barbara Rossi & Tatevik Sekhposyan, 2019. "From fixed-event to fixed-horizon density forecasts: Obtaining measures of multi-horizon uncertainty from survey density forecasts," Economics Working Papers 1689, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    3. Taillardat, Maxime & Fougères, Anne-Laure & Naveau, Philippe & de Fondeville, Raphaël, 2023. "Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1448-1459.
    4. Carlos Diaz Vela, 2016. "Extracting the Information Shocks from the Bank of England Inflation Density Forecasts," Discussion Papers in Economics 16/13, Division of Economics, School of Business, University of Leicester.
    5. Chris McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," Reserve Bank of New Zealand Discussion Paper Series DP2016/10, Reserve Bank of New Zealand.
    6. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    7. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    8. Kajal Lahiri & Huaming Peng & Yongchen Zhao, 2013. "Testing the Value of Probability Forecasts for Calibrated Combining," Discussion Papers 13-02, University at Albany, SUNY, Department of Economics.
    9. Ana Beatriz Galvão & Michael Owyang, 2022. "Forecasting low‐frequency macroeconomic events with high‐frequency data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1314-1333, November.
    10. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    11. Galbraith, John W. & van Norden, Simon, 2019. "Asymmetry in unemployment rate forecast errors," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1613-1626.
    12. Wojciech Charemza & Carlos Díaz & Svetlana Makarova, 2015. "Choosing the Right Skew Normal Distribution: the Macroeconomist’ Dilemma," Discussion Papers in Economics 15/08, Division of Economics, School of Business, University of Leicester.
    13. Fabian Kruger & Hendrik Plett, 2022. "Prediction intervals for economic fixed-event forecasts," Papers 2210.13562, arXiv.org, revised Mar 2024.
    14. Simon van Norden, 2015. "Estimates of Québec’s Growth Uncertainty," CIRANO Project Reports 2015rp-01, CIRANO.
    15. Rossi, Barbara & Ganics, Gergely & Sekhposyan, Tatevik, 2020. "From Fixed-event to Fixed-horizon Density Forecasts: Obtaining Measures of Multi-horizon Uncertainty from Survey Density Foreca," CEPR Discussion Papers 14267, C.E.P.R. Discussion Papers.
    16. Elena Andreou & Andros Kourtellos, 2018. "Scoring rules for simple forecasting models: The case of Cyprus GDP and its sectors," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(1), pages 59-73, June.
    17. Anthony Garratt & Timo Henckel & Shaun P. Vahey, 2019. "Empirically-transformed linear opinion pools," CAMA Working Papers 2019-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Garratt, Anthony & Mitchell, James & Vahey, Shaun P., 2014. "Probability Forecasting for Inflation Warnings from the Federal Reserve," EMF Research Papers 07, Economic Modelling and Forecasting Group.
    19. Marc-Oliver Pohle, 2020. "The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation," Papers 2005.01835, arXiv.org.
    20. Schreiber, Sven & Soldatenkova, Natalia, 2016. "Anticipating business-cycle turning points in real time using density forecasts from a VAR," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 166-187.
    21. Luca Brugnolini & Giuseppe Ragusa, 2022. "Euro Area Deflationary Pressure Index," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 883-900, October.

  10. Galbraith, John W. & van Norden, Simon, 2011. "Kernel-based calibration diagnostics for recession and inflation probability forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1041-1057, October.

    Cited by:

    1. Chris McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," Reserve Bank of New Zealand Discussion Paper Series DP2016/10, Reserve Bank of New Zealand.
    2. Kajal Lahiri & Huaming Peng & Yongchen Zhao, 2013. "Testing the Value of Probability Forecasts for Calibrated Combining," Discussion Papers 13-02, University at Albany, SUNY, Department of Economics.
    3. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
    4. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    5. Tsyplakov, Alexander, 2013. "Evaluation of Probabilistic Forecasts: Proper Scoring Rules and Moments," MPRA Paper 45186, University Library of Munich, Germany.
    6. Tsyplakov, Alexander, 2012. "Assessment of probabilistic forecasts: Proper scoring rules and moments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 115-132.
    7. Simon van Norden, 2015. "Estimates of Québec’s Growth Uncertainty," CIRANO Project Reports 2015rp-01, CIRANO.
    8. Turgut Kisinbay & Chikako Baba, 2011. "Predicting Recessions: A New Approach for Identifying Leading Indicators and Forecast Combinations," IMF Working Papers 2011/235, International Monetary Fund.
    9. Marc-Oliver Pohle, 2020. "The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation," Papers 2005.01835, arXiv.org.
    10. Tsyplakov, Alexander, 2014. "Theoretical guidelines for a partially informed forecast examiner," MPRA Paper 55017, University Library of Munich, Germany.

  11. Jacobs, Jan P.A.M. & van Norden, Simon, 2011. "Modeling data revisions: Measurement error and dynamics of "true" values," Journal of Econometrics, Elsevier, vol. 161(2), pages 101-109, April.

    Cited by:

    1. Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007. "A state space approach to extracting the signal from uncertain data," Bank of England working papers 336, Bank of England.
    2. Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
    3. Jan Jacobs & Jan-Egbert Sturm, 2009. "The information content of KOF indicators on Swiss current account data revisions," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(2), pages 161-181.
    4. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    5. Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
    6. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    7. Bouwman, Kees E. & Jacobs, Jan P.A.M., 2005. "Forecasting with real-time macroeconomic data: the ragged-edge problem and revisions," CCSO Working Papers 200505, University of Groningen, CCSO Centre for Economic Research.
    8. Beetsma, Roel & Giuliodori, Massimo & Wierts, Peter & Walschot, Mark, 2010. "Fifty Years of Fiscal Planning and Implementation in the Netherlands," CEPR Discussion Papers 7969, C.E.P.R. Discussion Papers.
    9. Galvao, Ana Beatriz & Mitchell, James & Runge, Johnny, 2019. "Communicating Data Uncertainty: Experimental Evidence for U.K. GDP," EMF Research Papers 30, Economic Modelling and Forecasting Group.
    10. Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
    11. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    12. Clements, Michael P. & Galvão, Ana Beatriz, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," The Warwick Economics Research Paper Series (TWERPS) 953, University of Warwick, Department of Economics.
    13. Clements, Michael P., 2019. "Do forecasters target first or later releases of national accounts data?," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1240-1249.
    14. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014. "Combining distributions of real-time forecasts: An application to U.S. growth," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).
    15. Nilss Olekalns & Kalvinder Shields, 2008. "Nowcasting, Business Cycle Dating and the Interpretation of New Information when Real Time Data are Available," Department of Economics - Working Papers Series 1040, The University of Melbourne.
    16. Hännikäinen, Jari, 2014. "Multi-step forecasting in the presence of breaks," MPRA Paper 55816, University Library of Munich, Germany.
    17. M. Mogliani & T. Ferrière, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
    18. Hännikäinen, Jari, 2015. "Selection of an estimation window in the presence of data revisions and recent structural breaks," MPRA Paper 66759, University Library of Munich, Germany.
    19. David de Antonio Liedo, 2014. "Nowcasting Belgium," Working Paper Research 256, National Bank of Belgium.
    20. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    21. Strohsal, Till & Wolf, Elias, 2020. "Data revisions to German national accounts: Are initial releases good nowcasts?," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1252-1259.
    22. Michael P. Clements, 2017. "Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 420-433, July.
    23. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    24. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    25. Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2018. "Can GDP measurement be further improved? Data revision and reconciliation," Papers 1808.04970, arXiv.org.
    26. Clements, Michael P. & Galvão, Ana Beatriz, 2009. "First Announcements and Real Economic Activity," The Warwick Economics Research Paper Series (TWERPS) 885, University of Warwick, Department of Economics.
    27. Boriss Siliverstovs, 2012. "Are GDP Revisions Predictable? Evidence for Switzerland," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 58(4), pages 299-326.
    28. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
    29. Andreas Dibiasi & Samad Sarferaz, 2020. "Measuring Macroeconomic Uncertainty: The Labor Channel of Uncertainty from a Cross-Country Perspective," Papers 2006.09007, arXiv.org, revised Dec 2020.
    30. Sentana, Enrique & Almuzara, Martin & Amengual, Dante & Fiorentini, Gabriele, 2022. "GDP Solera: The Ideal Vintage Mix," CEPR Discussion Papers 17196, C.E.P.R. Discussion Papers.
    31. Juan Manuel Julio, 2011. "Modeling Data Revisions," Borradores de Economia 641, Banco de la Republica de Colombia.
    32. Travis J. Berge, 2023. "Time-Varying Uncertainty of the Federal Reserve's Output Gap Estimate," The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1191-1206, September.
    33. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    34. Chrystalleni Aristidou & Kevin Lee & Kalvinder Shields, 2015. "Real-Time Data should be used in Forecasting Output Growth and Recessionary Events in the US," Discussion Papers 2015/13, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    35. Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
    36. Dungey, Mardi & Jacobs, Jan & Tian, Jing & van Norden, Simon, 2012. "On the correspondence between data revision and trend-cycle decomposition," Working Papers 12975, University of Tasmania, Tasmanian School of Business and Economics, revised 01 Mar 2012.
    37. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    38. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
    39. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).
    40. Mardi Dungey & Jan P. A. M. Jacobs & Jing Tian & Simon van Norden, 2013. "Trend-cycle decomposition: implications from an exact structural identification," Working Papers 13-22, Federal Reserve Bank of Philadelphia.
    41. Deicy J. Cristiano & Manuel D. Hernández & José David Pulido, 2012. "Pronósticos de corto plazo en tiempo real para la actividad económica colombiana," Borradores de Economia 724, Banco de la Republica de Colombia.
    42. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    43. Maximo Camacho & Gabriel Perez-Quiros, 2008. "Introducing the EURO-STING: Short Term INdicator of Euro Area Growth," Working Papers 0807, Banco de España.
    44. Kevin Lee & Nilss Olekalns & Kalvinder Shields, 2008. "Nowcasting, Business Cycle Dating and the Interpretation of New Information when Real Time Data are Available," Discussion Papers in Economics 08/17, Division of Economics, School of Business, University of Leicester.
    45. Carlo Altavilla & Matteo Ciccarelli, 2011. "Monetary Policy Analysis in Real-Time. Vintage Combination from a Real-Time Dataset," CESifo Working Paper Series 3372, CESifo.
    46. Chiu, Adrian & Wieladek, Tomasz, 2012. "Did output gap measurement improve over time?," Discussion Papers 36, Monetary Policy Committee Unit, Bank of England.
    47. Peter A. Zadrozny, 2016. "Real-Time State Space Method for Computing Smoothed Estimates of Future Revisions of U.S. Monthly Chained CPI," CESifo Working Paper Series 5897, CESifo.
    48. Clements, Michael P. & Galvao, Ana Beatriz, 2019. "Measuring the Effects of Expectations Shocks," EMF Research Papers 31, Economic Modelling and Forecasting Group.
    49. Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CAMA Working Papers 2010-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    50. Michael P. Clements & Ana Beatriz Galvão, 2011. "Improving Real-time Estimates of Output Gaps and Inflation Trends with Multiple-vintage Models," Working Papers 678, Queen Mary University of London, School of Economics and Finance.
    51. Joao Tovar Jalles, 2015. "How Quickly is News Incorporated in Fiscal Forecasts?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2802-2812.
    52. Chiu Adrian & Wieladek Tomasz, 2013. "Is the “Great Recession” really so different from the past?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-48, October.
    53. van Dijk, D.J.C. & Franses, Ph.H.B.F. & Ravazzolo, F., 2007. "Evaluating real-time forecasts in real-time," Econometric Institute Research Papers EI 2007-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    54. Galvao, Ana Beatriz, 2016. "Data Revisions and DSGE Models," EMF Research Papers 11, Economic Modelling and Forecasting Group.
    55. Goodwin, Thomas & Tian, Jing, 2017. "A state space approach to evaluate multi-horizon forecasts," Working Papers 2017-15, University of Tasmania, Tasmanian School of Business and Economics.
    56. Roland Döhrn, 2023. "Are German National Accounts informationally efficient?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 23-42, March.
    57. Juan Bógalo & Pilar Poncela & Eva Senra, 2021. "Circulant Singular Spectrum Analysis to Monitor the State of the Economy in Real Time," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
    58. Michael P. Clements & Ana Beatriz Galvão, 2023. "Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 164-185, March.
    59. Michael P. Clements, 2014. "Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets," ICMA Centre Discussion Papers in Finance icma-dp2014-06, Henley Business School, University of Reading.
    60. Juan Manuel Julio, 2011. "Data Revisions and the Output Gap," Borradores de Economia 642, Banco de la Republica de Colombia.
    61. Bob Krebs, 2019. "Revisions to Quarterly National Accounts data in Luxembourg," BCL working papers 136, Central Bank of Luxembourg.
    62. Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.
    63. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
    64. Baetje, Fabian & Friedrici, Karola, 2016. "Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence," Economics Letters, Elsevier, vol. 143(C), pages 38-43.
    65. Yuliya Rychalovska & Sergey Slobodyan & Rafael Wouters, 2023. "Professional Survey Forecasts and Expectations in DSGE Models," CERGE-EI Working Papers wp766, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    66. Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
    67. Götz, Thomas B. & Hecq, Alain & Urbain, Jean-Pierre, 2016. "Combining forecasts from successive data vintages: An application to U.S. growth," International Journal of Forecasting, Elsevier, vol. 32(1), pages 61-74.
    68. Tian, Jing & Goodwin, Thomas, 2018. "An unobserved component modeling approach to evaluate multi-horizon forecasts," Working Papers 2018-04, University of Tasmania, Tasmanian School of Business and Economics.
    69. Richard G. Anderson & Charles S. Gascon, 2009. "Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 349-370.
    70. Michael P Clements & Ana Beatriz Galvao, 2017. "Data Revisions and Real-time Probabilistic Forecasting of Macroeconomic Variables," ICMA Centre Discussion Papers in Finance icma-dp2017-01, Henley Business School, University of Reading.
    71. Croushore, Dean & Del Monaco Santos, Pedro, 2022. "The personal saving rate: Data revisions and forecasts," Economics Letters, Elsevier, vol. 219(C).
    72. Cecilia Frale & Valentina Raponi, 2011. "Revisions in ocial data and forecasting," Working Papers LuissLab 1194, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    73. Clements, Michael P. & Galvão, Ana Beatriz, 2013. "Forecasting with vector autoregressive models of data vintages: US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 29(4), pages 698-714.
    74. Clements, Michael P. & Galvao, Ana Beatriz, 2020. "Density Forecasting with BVAR Models under Macroeconomic Data Uncertainty," EMF Research Papers 36, Economic Modelling and Forecasting Group.
    75. Strohsal, Till & Wolf, Elias, 2019. "Data revisions to German national accounts: Are initial releases good nowcasts?," Discussion Papers 2019/11, Free University Berlin, School of Business & Economics.
    76. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
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  12. van Norden, Simon, 2011. "Current trends in the analysis of Canadian productivity growth," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 5-25, January.
    See citations under working paper version above.
  13. Boyer, M. Martin & van Norden, Simon, 2006. "Exchange rates and order flow in the long run," Finance Research Letters, Elsevier, vol. 3(4), pages 235-243, December.
    See citations under working paper version above.
  14. Orphanides, Athanasios & van Norden, Simon, 2005. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 583-601, June.
    See citations under working paper version above.
  15. Cayen, Jean-Philippe & van Norden, Simon, 2005. "The reliability of Canadian output-gap estimates," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 373-393, December.
    See citations under working paper version above.
  16. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    See citations under working paper version above.
  17. Simon van Norden & Huntley Schaller, 2002. "Fads or bubbles?," Empirical Economics, Springer, vol. 27(2), pages 335-362.
    See citations under working paper version above.
  18. van Norden Simon & Vigfusson Robert, 1998. "Avoiding the Pitfalls: Can Regime-Switching Tests Reliably Detect Bubbles?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-24, April.

    Cited by:

    1. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers CoFie-03-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    2. Refet Gurkaynak, 2005. "Econometric Tests of Asset Price Bubbles: Taking Stock," Finance 0504008, University Library of Munich, Germany.
    3. Psaradakis, Zacharias & Sola, Martin & Spagnolo, Fabio, 2001. "A simple procedure for detecting periodically collapsing rational bubbles," Economics Letters, Elsevier, vol. 72(3), pages 317-323, September.
    4. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    5. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    6. Uribe, Jorge & Fernández, Julián, 2014. "Burbujas financieras y comportamiento reciente de los mercados de acciones en América Latina," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 81, pages 57-90, April.
    7. Shu-Ping Shi, 2013. "Specification sensitivities in the Markov-switching unit root test for bubbles," Empirical Economics, Springer, vol. 45(2), pages 697-713, October.
    8. Ozan Hatipoglu & Onur Uyar, 2012. "Do Bubbles Spill Over? Estimating Financial Bubbles in Emerging Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 64-75, November.
    9. Luboš Komárek & Martin Motl, 2012. "Behaviorální a fundamentální rovnovážný měnový kurz české koruny [Behavioural and Fundamental Equilibrium Exchange Rate of the Czech Koruna]," Politická ekonomie, Prague University of Economics and Business, vol. 2012(2), pages 147-166.
    10. Shuping Shi & Peter C.B. Phillips, 2023. "Diagnosing housing fever with an econometric thermometer," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 159-186, February.
    11. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    12. Yoon, Gawon, 2012. "Some properties of periodically collapsing bubbles," Economic Modelling, Elsevier, vol. 29(2), pages 299-302.
    13. Su, Chi-Wei & Li, Zheng-Zheng & Chang, Hsu-Ling & Lobonţ, Oana-Ramona, 2017. "When Will Occur the Crude Oil Bubbles?," Energy Policy, Elsevier, vol. 102(C), pages 1-6.
    14. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    15. Liu, Xiaoliang & Filler, Gunther & Odening, Martin, 2012. "Testing for Speculative Bubbles in Agricultural Commodity Prices: A Regime Switching Approach," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122554, European Association of Agricultural Economists.
    16. McMillan, David G., 2009. "Revisiting dividend yield dynamics and returns predictability: Evidence from a time-varying ESTR model," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 870-883, August.
    17. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    18. Harvey, David I. & Leybourne, Stephen J. & Sollis, Robert, 2017. "Improving the accuracy of asset price bubble start and end date estimators," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 121-138.
    19. Al-Anaswah, Nael & Wilfling, Bernd, 2011. "Identification of speculative bubbles using state-space models with Markov-switching," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1073-1086, May.
    20. Nunes, Maurício Simiano & da Silva, Sérgio, 2009. "Bolhas Racionais no Índice Bovespa," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 63(2), June.
    21. Michaelides, Panayotis G. & Tsionas, Efthymios & Konstantakis, Konstantinos, 2016. "Financial Bubble Detection : A Non-Linear Method with Application to S&P 500," MPRA Paper 74477, University Library of Munich, Germany.
    22. Esteban Gómez & sandra Rozo, 2007. "Beyond Bubbles:The role of asset prices in early-warning indicators," Borradores de Economia 4050, Banco de la Republica.
    23. Siwar Mehri Helali, 2019. "Detecting and Date-Stamping Rational Bubbles in Asset Price: An Empirical Investigation in the Tunisian Stock Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(8), pages 1-91, August.
    24. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    25. Kodjovi G. Assoe, 1998. "Regime-Switching in Emerging Stock Market Returns," Multinational Finance Journal, Multinational Finance Journal, vol. 2(2), pages 101-132, June.
    26. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2014. "Bubbles in food commodity markets: Four decades of evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 129-155.
    27. Chris Brooks & Apostolos Katsaris, 2002. "Forecasting the Collapse of Speculative Bubbles: An Empirical Investigation of the S&P 500 Composite Index," ICMA Centre Discussion Papers in Finance icma-dp2002-04, Henley Business School, University of Reading.
    28. Maximilian Brauers & Matthias Thomas & Joachim Zietz, 2014. "Are There Rational Bubbles in REITs? New Evidence from a Complex Systems Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 165-184, August.
    29. Hess, Martin K., 2003. "What drives Markov regime-switching behavior of stock markets? The Swiss case," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 527-543.
    30. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    31. Matthew L. Higgins & Frank Ofori-Acheampong, 2018. "A Markov Regime-Switching Model with Time-Varying Transition Probabilities for Identifying Asset Price Bubbles," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 1-14, April.
    32. Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
    33. Esteban Gómez & Sandra Rozo, 2008. "Beyond bubbles: the role of asset prices in early-warning indicators," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 26(56), pages 114-148, June.
    34. Ma, Richie Ruchuan & Xiong, Tao, 2021. "Price explosiveness in nonferrous metal futures markets," Economic Modelling, Elsevier, vol. 94(C), pages 75-90.
    35. Renne, Jean-Paul, 2013. "Regime switching in bond yield and spread dynamics," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/13651 edited by Monfort, Alain.
    36. McMillan, David G., 2007. "Bubbles in the dividend-price ratio? Evidence from an asymmetric exponential smooth-transition model," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 787-804, March.
    37. Leone, Vitor & de Medeiros, Otavio Ribeiro, 2015. "Signalling the Dotcom bubble: A multiple changes in persistence approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 77-86.
    38. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2016. "Non-linearities in financial bubbles: Theory and Bayesian evidence from S&P500," Journal of Financial Stability, Elsevier, vol. 24(C), pages 61-70.
    39. Mark J. Holmes & Ping Wang, 2008. "Real Convergence and Regime-Switching Among EU Accession Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 6(1), pages 9-27.
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    5. Ekaterini Panopoulou & Theologos Pantelidis, 2014. "Speculative behaviour and oil price predictability," Discussion Paper Series 2014_09, Department of Economics, University of Macedonia, revised Dec 2014.
    6. Ogonna Nneji & Chris Brooks & Charles Ward, 2013. "Commercial Real Estate and Equity Market Bubbles: Are They Contagious to REITs?," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2496-2516, September.
    7. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Mark E. Wohar, 2016. "Periodically Collapsing Bubbles in the South African Stock Market," Working Papers 201624, University of Pretoria, Department of Economics.
    8. Carlos Canizares Martinez, 2023. "Leaning against housing booms fueled by credit," Working Papers 513, University of Milano-Bicocca, Department of Economics.
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    13. Keith Anderson & Chris Brooks & Apostolos Katsaris, 2013. "Testing for speculative bubbles in asset prices," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 3, pages 73-94, Edward Elgar Publishing.
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    25. Ogonna Nneji & Chris Brooks & Charles Ward, 2011. "Housing and equity bubbles: Are they contagious to REITs?," ICMA Centre Discussion Papers in Finance icma-dp2011-11, Henley Business School, University of Reading.
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    29. Catherine Araujo Bonjean & Catherine Simonet, 2016. "Are grain markets in Niger driven by speculation?," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 714-735.
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    31. Maximilian Brauers & Matthias Thomas & Joachim Zietz, 2014. "Are There Rational Bubbles in REITs? New Evidence from a Complex Systems Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 165-184, August.
    32. Accolley, Delali, 2021. "Some Markov-Switching Models for the Toronto Stock Exchange," MPRA Paper 108072, University Library of Munich, Germany.
    33. Ogonna Nneji & Chris Brooks & Charles Ward, 2011. "Intrinsic and Rational Speculative Bubbles in the U.S. Housing Market 1960-2009," ICMA Centre Discussion Papers in Finance icma-dp2011-01, Henley Business School, University of Reading.
    34. Bell, Adrian R. & Brooks, Chris & Killick, Helen, 2022. "The first real estate bubble? Land prices and rents in medieval England c. 1300–1500," Research in International Business and Finance, Elsevier, vol. 62(C).
    35. Matthew L. Higgins & Frank Ofori-Acheampong, 2018. "A Markov Regime-Switching Model with Time-Varying Transition Probabilities for Identifying Asset Price Bubbles," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 1-14, April.
    36. Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
    37. Simon van Norden & Huntley Schaller & ), 1995. "Speculative Behaviour, Regime-Switching, and Stock Market Crashes," Econometrics 9502003, University Library of Munich, Germany.
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