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Kenneth F. Wallis

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. Author Profile
    1. Ken Wallis at 75: Lessons in Life and Leadership by Mark Harrison
      by Mark Harrison in Mark Harrison's blog on 2013-07-14 01:20:28

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.

    Mentioned in:

    1. > Econometrics > Forecasting

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Turner, David S & Wallis, Kenneth F & Whitley, John D, 1989. "Differences in the Properties of Large-Scale Macroeconometric Models: The Role of Labour Market Specifications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(4), pages 317-344, Oct.-Dec..

    Mentioned in:

    1. Differences in the properties of large-scale macroeconometric models: The role of labour market specifications (Journal of Applied Econometrics 1989) in ReplicationWiki ()
  2. James Mitchell & Kenneth F. Wallis, 2011. "Evaluating density forecasts: forecast combinations, model mixtures, calibration and sharpness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 1023-1040, September.

    Mentioned in:

    1. Evaluating density forecasts: forecast combinations, model mixtures, calibration and sharpness (Journal of Applied Econometrics 2011) in ReplicationWiki ()

Working papers

  1. Jan P.A.M. Jacobs & Kenneth F. Wallis, 2007. "Cointegration, Long-Run Structural Modelling And Weak Exogeneity: Two Models Of The Uk Economy," CAMA Working Papers 2007-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Ibrar Hussain & Jawad Hussain & Arshad Ali & Shabir Ahmad, 2021. "A Dynamic Analysis of the Impact of Fiscal Adjustment on Economic Growth: Evidence From Pakistan," SAGE Open, , vol. 11(2), pages 21582440211, June.
    2. Ghassan, Hassan B., 2011. "Public and Private Investment in Saudi Economy: Evidence from Weak Exogeneity and Bound Cointegration Tests," MPRA Paper 56537, University Library of Munich, Germany.
    3. Accolley, Delali, 2018. "Accounting for Busines Cycles in Canada: II. The Role of Money," MPRA Paper 85481, University Library of Munich, Germany.
    4. Leonardo Gambacorta & Adrian Van Rixtel & Stefano Schiaffi, 2017. "Changing business models in international bank funding," BIS Working Papers 614, Bank for International Settlements.
    5. Badarau-Semenescu, Cristina & Ndiaye, Cheikh Tidiane, 2010. "Politique économique et transmission des chocs dans la zone euro," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(1), pages 35-77, mars.
    6. Dungey, Mardi & Fry, Renée, 2009. "The identification of fiscal and monetary policy in a structural VAR," Economic Modelling, Elsevier, vol. 26(6), pages 1147-1160, November.
    7. Batool, Irem & Goldmann, Kathrin, 2021. "The role of public and private transport infrastructure capital in economic growth. Evidence from Pakistan," Research in Transportation Economics, Elsevier, vol. 88(C).
    8. Jimmy Lockwood & Larry Lockwood & Sie Ting Lau, 2016. "Lost In Translation: Which Stock Prices Bear The Burden To Adjust To Exchange Rates?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 39(3), pages 263-290, September.
    9. Adam Elbourne & Henk Kranendonk & Rob Luginbuhl & Bert Smid & Martin Vromans, 2008. "Evaluating CPB's published GDP growth forecasts; a comparison with individual and pooled VAR based forecasts," CPB Document 172, CPB Netherlands Bureau for Economic Policy Analysis.
    10. Mardi Dungey & Denise R Osborn, 2009. "Modelling International Linkages for Large Open Economies: US and Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 121, Economics, The University of Manchester.
    11. Zuzana LAJDOVÁ & Peter BIELIK, 2015. "The evidence of asymmetric price adjustments," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(3), pages 105-115.

  2. Boero,Gianna & Smith,Jeremy & Wallis,Kenneth F, 2006. "Uncertainty and disagreement in economic prediction : the Bank of England Survey of External Forecasters," The Warwick Economics Research Paper Series (TWERPS) 811, University of Warwick, Department of Economics.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Time-varying Combinations of Predictive Densities using Nonlinear Filtering," Tinbergen Institute Discussion Papers 12-118/III, Tinbergen Institute.
    2. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    3. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Li, You & Tay, Anthony, 2021. "The role of macroeconomic and policy uncertainty in density forecast dispersion," Journal of Macroeconomics, Elsevier, vol. 67(C).
    5. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    6. Andreas Dibiasi, 2021. "Measuring Knightian uncertainty," Post-Print hal-03391638, HAL.
    7. Levenko, Natalia, 2020. "Rounding bias in forecast uncertainty," Research in Economics, Elsevier, vol. 74(4), pages 277-291.
    8. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    9. Schultefrankenfeld, Guido, 2010. "Forecast uncertainty and the Bank of England interest rate decisions," Discussion Paper Series 1: Economic Studies 2010,27, Deutsche Bundesbank.
    10. Masayuki Morikawa, 2016. "What Types of Policy Uncertainties Matter for Business?," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 527-540, December.
    11. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    12. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Discussion Paper 2012-072, Tilburg University, Center for Economic Research.
    13. Robert Rich & Joseph Tracy, 2021. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 233-253, February.
    14. Manzanares, Andrés & Garcí­a, Juan Angel, 2007. "Reporting biases and survey results: evidence from European professional forecasters," Working Paper Series 836, European Central Bank.
    15. Timur Hulagu & Saygin Sahinoz, 2012. "Is Disagreement a Good Proxy for Inflation Uncertainty? Evidence from Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 12(1), pages 53-62.
    16. Robert W. Rich & Joseph Song & Joseph Tracy, 2012. "The measurement and behavior of uncertainty: evidence from the ECB Survey of Professional Forecasters," Staff Reports 588, Federal Reserve Bank of New York.
    17. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    18. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    19. Liu, Yang & Sheng, Xuguang Simon, 2019. "The measurement and transmission of macroeconomic uncertainty: Evidence from the U.S. and BRIC countries," International Journal of Forecasting, Elsevier, vol. 35(3), pages 967-979.
    20. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    21. Luca Rossi, 2020. "Indicators of uncertainty: a brief user’s guide," Questioni di Economia e Finanza (Occasional Papers) 564, Bank of Italy, Economic Research and International Relations Area.
    22. Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
    23. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    24. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    25. Montes, Gabriel Caldas & Luna, Paulo Henrique, 2018. "Discretionary fiscal policy and disagreement in expectations about fiscal variables empirical evidence from Brazil," Economic Modelling, Elsevier, vol. 73(C), pages 100-116.
    26. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Nonlinear Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-172/4, Tinbergen Institute.
    27. Schultefrankenfeld, Guido, 2017. "Appropriate monetary policy and forecast disagreement at the FOMC," Discussion Papers 39/2017, Deutsche Bundesbank.
    28. Smietanka, Pawel & Bloom, Nicholas & Mizen, Paul, 2018. "Business investment, cash holding and uncertainty since the Great Financial Crisis," Bank of England working papers 753, Bank of England.
    29. Joseph E. Gagnon, 1997. "Inflation regimes and inflation expectations," International Finance Discussion Papers 581, Board of Governors of the Federal Reserve System (U.S.).
    30. Ganwen Zheng & Songping Zhu, 2021. "Research on the Effectiveness of China’s Macro Control Policy on Output and Technological Progress under Economic Policy Uncertainty," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    31. Kenneth Wallis, 2011. "Combining forecasts - forty years later," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 33-41.
    32. Richard K. Crump & Stefano Eusepi & Emanuel Moench & Bruce Preston, 2021. "The Term Structure of Expectations," Staff Reports 992, Federal Reserve Bank of New York.
    33. Montes, Gabriel Caldas & Souza, Ivan, 2020. "Sovereign default risk, debt uncertainty and fiscal credibility: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    34. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.
    35. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    36. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    37. Coroneo, Laura & Iacone, Fabrizio & Profumo, Fabio, 2024. "Survey density forecast comparison in small samples," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1486-1504.
    38. Philippe Andrade & Ghysels, E. & Julien Idier., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
    39. Klodiana Istrefi & Sarah Mouabbi, 2017. "Subjective interest rate uncertainty and the macroeconomy : a cross-country analysis," Rue de la Banque, Banque de France, issue 48, september.
    40. Paul Söderlind, 2011. "Inflation Risk Premia and Survey Evidence on Macroeconomic Uncertainty," International Journal of Central Banking, International Journal of Central Banking, vol. 7(2), pages 113-133, June.
    41. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Bank of Finland Research Discussion Papers 37/2012, Bank of Finland.
    42. Nikos Apokoritis & Gabriele Galati & Richhild Moessner & Federica Teppa, 2019. "Inflation expectations anchoring: new insights from micro evidence of a survey at high-frequency and of distributions," BIS Working Papers 809, Bank for International Settlements.
    43. Fabian Krüger & Ingmar Nolte, 2011. "Disagreement, Uncertainty and the True Predictive Density," Working Paper Series of the Department of Economics, University of Konstanz 2011-43, Department of Economics, University of Konstanz.
    44. Fuest, Angela & Schmidt, Torsten, 2020. "Inflation expectation uncertainty in a New Keynesian framework," Ruhr Economic Papers 867, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    45. Richhild Moessner & Feng Zhu & Colin Ellis, 2011. "Measuring disagreement in UK consumer and central bank inflation forecasts," BIS Working Papers 339, Bank for International Settlements.
    46. Kang, Wensheng & Lee, Kiseok & Ratti, Ronald A., 2014. "Economic policy uncertainty and firm-level investment," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 42-53.
    47. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    48. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    49. Lahiri, Kajal & Sheng, Xuguang, 2009. "Learning and heterogeneity in GDP and inflation forecasts," MPRA Paper 21448, University Library of Munich, Germany.
    50. Michael Clements & Robert W. Rich & Joseph Tracy, 2024. "An Investigation into the Uncertainty Revision Process of Professional Forecasters," Working Papers 24-19, Federal Reserve Bank of Cleveland.
    51. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    52. Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022. "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports 1025, Federal Reserve Bank of New York.
    53. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
    54. Montes, Gabriel Caldas & do Nascimento Valladares, Matheus, 2024. "The effects of economic uncertainty and economic policy uncertainty on banks’ loan loss provision in Brazil," Journal of Economics and Business, Elsevier, vol. 131(C).
    55. Marfatia, Hardik A., 2014. "Impact of uncertainty on high frequency response of the U.S. stock markets to the Fed's policy surprises," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 382-392.
    56. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    57. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2011. "Inflation uncertainty revisited: A proposal for robust measurement," ifo Working Paper Series 111, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    58. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    59. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," BIS Working Papers 936, Bank for International Settlements.
    60. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    61. Montes, Gabriel Caldas & Acar, Tatiana, 2020. "Fiscal credibility, target revisions and disagreement in expectations about fiscal results," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 38-58.
    62. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    63. Robert W. Rich & Joseph Tracy, 2017. "The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis," Staff Reports 808, Federal Reserve Bank of New York.
    64. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    65. Meredith J. Beechey, 2008. "Lowering the anchor: how the Bank of England's inflation-targeting policies have shaped inflation expectations and perceptions of inflation risk," Finance and Economics Discussion Series 2008-44, Board of Governors of the Federal Reserve System (U.S.).
    66. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    67. Glas, Alexander & Hartmann, Matthias, 2016. "Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters," Journal of Empirical Finance, Elsevier, vol. 39(PB), pages 215-228.
    68. Sébastien Fries & Jean‐Stéphane Mésonnier & Sarah Mouabbi & Jean‐Paul Renne, 2018. "National natural rates of interest and the single monetary policy in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 763-779, September.
    69. Keith Sill, 2012. "Measuring economic uncertainty using the Survey of Professional Forecasters," Business Review, Federal Reserve Bank of Philadelphia, issue Q4, pages 16-27.
    70. Joshua C.C. Chan & Yong Song, 2018. "Measuring Inflation Expectations Uncertainty Using High‐Frequency Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1139-1166, September.
    71. Gabriel C Montes & Caio F Ferreira, 2022. "Monetary policy opacity and disagreements in expectations about variables under central bank control," Economics Bulletin, AccessEcon, vol. 42(2), pages 703-721.
    72. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    73. Clements, Michael P, 2012. "Subjective and Ex Post Forecast Uncertainty : US Inflation and Output Growth," The Warwick Economics Research Paper Series (TWERPS) 995, University of Warwick, Department of Economics.
    74. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
    75. Masayuki MORIKAWA, 2016. "Business Uncertainty and Investment: Evidence from Japanese companies," Discussion papers 16014, Research Institute of Economy, Trade and Industry (RIETI).
    76. Stefano Eusepi & Richard Crump & Emanuel Moench & Philippe Andrade, 2014. "Noisy Information and Fundamental Disagreement," 2014 Meeting Papers 797, Society for Economic Dynamics.
    77. Casey, Eddie, 2020. "Do macroeconomic forecasters use macroeconomics to forecast?," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1439-1453.
    78. Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
    79. Adra, Samer & Barbopoulos, Leonidas G. & Saunders, Anthony, 2020. "The impact of monetary policy on M&A outcomes," Journal of Corporate Finance, Elsevier, vol. 62(C).
    80. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    81. de Mendonça, Helder Ferreira & Simão Filho, José & Abreu, Vanessa Castro, 2023. "Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy," Economic Systems, Elsevier, vol. 47(2).
    82. Maxime Phillot & Rina Rosenblatt-Wisch, 2018. "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers 2018-11, Swiss National Bank.
    83. Carola Conces Binder, 2021. "Central Bank Communication and Disagreement about the Natural Rate Hypothesis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 81-123, June.
    84. Masayuki MORIKAWA, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).
    85. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    86. Montes, Gabriel Caldas & Nicolay, Rodolfo Tomás da Fonseca & Acar, Tatiana, 2019. "Do fiscal communication and clarity of fiscal announcements affect public debt uncertainty? Evidence from Brazil," Journal of Economics and Business, Elsevier, vol. 103(C), pages 38-60.
    87. Macallan, Clare & Taylor, Tim & O'Grady, Tom, 2011. "Assessing the risk to inflation from inflation expectations," Bank of England Quarterly Bulletin, Bank of England, vol. 51(2), pages 100-110.
    88. 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.
    89. Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.
    90. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "Anchoring of consumers’ long-term euro area inflation expectations during the pandemic," Working Papers 715, DNB.
    91. Harimohan, Rashmi, 2012. "How has the risk to inflation from inflation expectations evolved?," Bank of England Quarterly Bulletin, Bank of England, vol. 52(2), pages 114-123.
    92. Gauvin, Ludovic & McLoughlin, Cameron & Reinhardt, Dennis, 2014. "Policy uncertainty spillovers to emerging markets – evidence from capital flows," Bank of England working papers 512, Bank of England.
    93. Philippe Andrade & Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2013. "Fundamental disagreement," Staff Reports 655, Federal Reserve Bank of New York.
    94. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans: Evidence from the Unexpected Acceptance of a Far-Reaching Referendum in Switzerland," CESifo Working Paper Series 5887, CESifo.
    95. Mario Canales & Bernabe Lopez-Martin, 2021. "Uncertainty, Risk, and Price-Setting: Evidence from CPI Microdata," Working Papers Central Bank of Chile 908, Central Bank of Chile.
    96. Maritta Paloviita & Matti Viren, 2014. "Inflation and output growth uncertainty in individual survey expectations," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 69-81, February.
    97. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    98. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans," KOF Working papers 16-406, KOF Swiss Economic Institute, ETH Zurich.
    99. Maxime Phillot & Rina Rosenblatt-Wisch, 2024. "Order Matters: An Experimental Study on How Question Ordering Affects Survey-Based Inflation Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 20(3), pages 63-114, July.
    100. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.
    101. Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019. "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, vol. 16(4), pages 649-678, October.
    102. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
    103. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    104. Esady, Vania, 2022. "Real and nominal effects of monetary shocks under time-varying disagreement," Bank of England working papers 1007, Bank of England.
    105. Paloviita, Maritta & Virén, Matti, 2014. "Analysis of forecast errors in micro-level survey data," Bank of Finland Research Discussion Papers 8/2014, Bank of Finland.

  3. Wallis, Kenneth, 2006. "A note on the calculation of entropy from histograms," MPRA Paper 52856, University Library of Munich, Germany.

    Cited by:

    1. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    2. Henry Chacon & Anuradha Roy, 2017. "Piecewise Solutions to Big Data," Working Papers o156mss, College of Business, University of Texas at San Antonio.
    3. Ewa Stanisławska & Maritta Paloviita, 2021. "Medium- vs. short-term consumer inflation expectations: evidence from a new euro area survey," NBP Working Papers 338, Narodowy Bank Polski.

  4. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F, 2004. "Sensitivity of the Chi-Squared Goodness-of-Fit Test to the Partitioning of Data," The Warwick Economics Research Paper Series (TWERPS) 694, University of Warwick, Department of Economics.

    Cited by:

    1. Menezes, Mozart B.C. & da Silveira, Giovani J.C. & Guimarães, Renato, 2018. "Estimating demand variability and capacity costs due to social network influence: The hidden cost of connection," International Journal of Production Economics, Elsevier, vol. 197(C), pages 317-329.
    2. Gordon Anderson, 2008. "The empirical assessment of multidimensional welfare, inequality and poverty: Sample weighted multivariate generalizations of the Kolmogorov–Smirnov two sample tests for stochastic dominance," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(1), pages 73-87, March.
    3. Bontemps, Christian, 2014. "Simple moment-based tests for value-at-risk models and discrete distribution," TSE Working Papers 14-535, Toulouse School of Economics (TSE).
    4. Bontemps, Christian, 2013. "Moment-Based Tests for Discrete Distributions," IDEI Working Papers 772, Institut d'Économie Industrielle (IDEI), Toulouse, revised Oct 2014.
    5. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).
    6. Oller, Lars-Erik & Teterukovsky, Alex, 2007. "Quantifying the quality of macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 23(2), pages 205-217.

  5. Kenneth F. Wallis, 2004. "Comparing Empirical Models of the Euro Economy," Econometric Society 2004 Australasian Meetings 14, Econometric Society.

    Cited by:

    1. Albonico, Alice & Calès, Ludovic & Cardani, Roberta & Croitorov, Olga & Ferroni, Filippo & Giovannini, Massimo & Hohberger, Stefan & Pataracchia, Beatrice & Pericoli, Filippo & Raciborski, Rafal & Rat, 2017. "The Global Multi-Country Model (GM): an Estimated DSGE Model for the Euro Area Countries," JRC Working Papers in Economics and Finance 2017-10, Joint Research Centre, European Commission.
    2. Alberto Bagnai & Christian Alexander Mongeau Ospina, 2014. "The a/simmetrie annual macroeconometric model of the Italian economy: structure and properties," a/ Working Papers Series 1405, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    3. Alessandro Cianci, 2016. "Disoccupazione strutturale in Italia e regole europee di bilancio," a/ Working Papers Series 1601, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    4. Heilemann, Ullrich & Findeis, Hagen, 2012. "Empirical determination of aggregate demand and supply curves: The example of the RWI Business Cycle Model," Economic Modelling, Elsevier, vol. 29(2), pages 158-165.
    5. Jérôme Creel & Bruno Ducoudre & Catherine Mathieu & Henri Sterdyniak, 2005. "Doit-on oublier la politique budgétaire? Une analyse critique de la nouvelle théorie anti-keynésienne des finances publiques," Post-Print hal-01020610, HAL.
    6. Catherine Mathieu & Henri Sterdyniak, 2009. "Global financial crisis: the french policy answer in a EU perspective," Working Papers hal-01069371, HAL.
    7. Michał Majsterek & Aleksander Welfe, 2012. "Price-wage nexus and the role of a tax system," Economic Change and Restructuring, Springer, vol. 45(1), pages 121-133, February.
    8. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    9. Barabas, György & Gebhardt, Heinz & Münch, Heinz Josef & Schmidt, Christoph M. & Schmidt, Torsten & Breitung, Jörg, 2005. "Methoden mittelfristiger gesamtwirtschaftlicher Projektionen: Dienstleistungsvorhaben im Auftrag des Bundesministeriums für Wirtschaft und Arbeit, Projektnummer 02/05. Vorläufiger Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 69948.
    10. Wallis, Kenneth F., 2008. "Macroeconomic modelling in central banks in Latin America," Documentos de Proyectos 3627, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Henry, Jérôme & Hernández de Cos, Pablo & Momigliano, Sandro, 2004. "The short-term impact of government budgets on prices: evidence from macroeconomic models," Working Paper Series 396, European Central Bank.
    12. Rosaria Rita Canale & Pasquale Foresti & Ugo Marani & Oreste Napolitano, 2008. "On keynesian effects of (apparent) non-keynesian fiscal policies," Politica economica, Società editrice il Mulino, issue 1, pages 5-46.
    13. Albonico, Alice & Calés, Ludovic & Cardani, Roberta & Croitorov, Olga & Ferroni, Filippo & Giovannini, Massimo & Hohberger, Stefan & Pataracchia, Beatrice & Pericoli, Filippo Maria & Raciborski, Rafal, 2019. "Comparing post-crisis dynamics across Euro Area countries with the Global Multi-country model," Economic Modelling, Elsevier, vol. 81(C), pages 242-273.
    14. jerome henry & sandro momigliano & pablo hernandez de cos, 2005. "The short-term impact of government budgets on prices Evidence from macroeconometric models," Macroeconomics 0501020, University Library of Munich, Germany.
    15. Wieland, Volker & Afanasyeva, Elena & Kuete, Meguy & Yoo, Jinhyuk, 2016. "New methods for macro-financial model comparison and policy analysis," IMFS Working Paper Series 107, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    16. Henry, Jerome & Hernandez de Cos, Pablo & Momigliano, Sandro, 2008. "The impact of government budgets on prices: Evidence from macroeconometric models," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 123-143.
    17. Carine Bouthevillain & John Caruana & Cristina Checherita & Jorge Cunha & Esther Gordo & Stephan Haroutunian & Geert Langenus & Amela Hubic & Bernhard Manzke & Javier J. Pérez & Pietro Tommasino, 2009. "Pros and cons of various fiscal measures to stimulate the economy," Economic Bulletin, Banco de España, issue JUL, pages 123-144, July.
    18. Barbara Annicchiarico & Fabio Di Dio & Francesco Felici & Francesco Nucci, 2013. "Assessing policy reforms for Italy using ITEM and QUESTIII," CEIS Research Paper 280, Tor Vergata University, CEIS, revised 17 May 2013.
    19. Andres Frick & Michael Graff & Jochen Kurt Hartwig & Boriss Siliverstovs, 2010. "Discretionary Fiscal Policy," KOF Working papers 10-253, KOF Swiss Economic Institute, ETH Zurich.
    20. Robert Kelm, 2010. "The Exchange Rate and Two Price Inflations in Poland in the Period 1999-2009. Do Globalization and Balassa-Samuelson Effect Matter?," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(4), pages 315-349, September.

  6. Wallis, Kenneth F., 2002. "Chi-squared tests of interval and density forecasts, and the Bank of England's fan charts," Royal Economic Society Annual Conference 2002 181, Royal Economic Society.

    Cited by:

    1. Bratu, Mihaela, 2013. "The Assessment And Improvement Of The Accuracy For The Forecast Intervals," Working Papers of Macroeconomic Modelling Seminar 132602, Institute for Economic Forecasting.
    2. G. Boero & J. Smith & KF. Wallis, 2002. "The properties of some goodness-of-fit tests," Working Paper CRENoS 200209, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
    4. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    5. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    6. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    7. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Sensitivity of the chi-squared goodness-of-fit test to the partitioning of data," Economic Research Papers 269588, University of Warwick - Department of Economics.
    8. Tsvetomira Tsenova, 2015. "Are Long-Term Inflation Expectations Well-Anchored? Evidence From The Euro Area And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 67(1), pages 65-82, January.
    9. Geoff Kenny & Thomas Kostka & Federico Masera, 2011. "How Informative are the Subjective Density Forecasts of Macroeconomists?," CESifo Working Paper Series 3671, CESifo.
    10. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
    11. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    13. Granger, Clive W. J. & Terasvirta, Timo & Patton, Andrew J., 2003. "Common factors in conditional distributions for Bivariate time series," LSE Research Online Documents on Economics 24854, London School of Economics and Political Science, LSE Library.
    14. Nowotarski, Jakub & Weron, Rafał, 2018. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
    15. Casillas-Olvera, Gabriel & Bessler, David A., 2006. "Probability forecasting and central bank accountability," Journal of Policy Modeling, Elsevier, vol. 28(2), pages 223-234, February.
    16. Francesco Ravazzolo & Shaun P. Vahey, 2010. "Forecast densities for economic aggregates from disaggregate ensembles," Working Paper 2010/02, Norges Bank.
    17. Kevin Dowd, 2004. "Too Good to be True? The (In)credibility of the UK Inflation Fan Charts," Occasional Papers 11, Industrial Economics Division, revised 11 Jan 2004.
    18. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
    19. G. Boero & E. Marrocu, 2002. "The performance of Setar Models: a regime conditional evaluation of point, interval and density forecasts," Working Paper CRENoS 200208, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    20. Dr. James Mitchell, 2009. "Measuring Output Gap Uncertainty," National Institute of Economic and Social Research (NIESR) Discussion Papers 342, National Institute of Economic and Social Research.
    21. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working papers 2012-12, University of Connecticut, Department of Economics.
    22. Tsyplakov, Alexander, 2014. "Theoretical guidelines for a partially informed forecast examiner," MPRA Paper 55017, University Library of Munich, Germany.
    23. Siliverstovs, B. & van Dijk, D.J.C., 2003. "Forecasting industrial production with linear, nonlinear, and structural change models," Econometric Institute Research Papers EI 2003-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
    25. Cogley, Timothy W. & Morozov, Sergei & Sargent, Thomas J., 2003. "Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system," CFS Working Paper Series 2003/44, Center for Financial Studies (CFS).
    26. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    27. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    28. Mark Harris & Paul Levine & Christopher Spencer, 2011. "A decade of dissent: explaining the dissent voting behavior of Bank of England MPC members," Public Choice, Springer, vol. 146(3), pages 413-442, March.
    29. Marco Vega, 2004. "Policy Makers Priors and Inflation Density Forecasts," Econometrics 0403005, University Library of Munich, Germany.
    30. Wolden Bache, Ida & Sofie Jore, Anne & Mitchell, James & Vahey, Shaun P., 2011. "Combining VAR and DSGE forecast densities," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1659-1670, October.
    31. Giorgio Valente & Lucio Sarno, 2004. "Comparing the accuracy of density forecasts from competing models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(8), pages 541-557.
    32. Koop, Gary & Onorante, Luca, 2011. "Estimating Phillips Curves in Turbulent Times using the ECB’s Survey of Professional Forecasters," SIRE Discussion Papers 2011-19, Scottish Institute for Research in Economics (SIRE).
    33. G. Boero & E. Marrocu, 2001. "Evaluating non-linear models on point and interval forecasts: an application with exchange rate returns," Working Paper CRENoS 200110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    34. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Decompositions of Pearson's chi-squared test," Journal of Econometrics, Elsevier, vol. 123(1), pages 189-193, November.
    35. Kajal Lahiri & J. George Wang, 2007. "The value of probability forecasts as predictors of cyclical downturns," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 11-14.
    36. Tura-Gawron, Karolina, 2019. "Consumers’ approach to the credibility of the inflation forecasts published by central banks: A new methodological solution," Journal of Macroeconomics, Elsevier, vol. 62(C).
    37. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2015. "EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area," CEIS Research Paper 340, Tor Vergata University, CEIS, revised 10 Apr 2015.
    38. Paul E. Carrillo & Eric R. Wit & William Larson, 2015. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 609-651, September.
    39. Kolassa, Stephan, 2016. "Evaluating predictive count data distributions in retail sales forecasting," International Journal of Forecasting, Elsevier, vol. 32(3), pages 788-803.
    40. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, June.
    41. Dowd, Kevin, 2007. "Too good to be true? The (In)credibility of the UK inflation fan charts," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 91-102, March.
    42. Anne Sofie Jore & James Mitchell & Shaun Vahey, 2008. "Combining Forecast Densities from VARs with Uncertain Instabilities," Reserve Bank of New Zealand Discussion Paper Series DP2008/18, Reserve Bank of New Zealand.
    43. Freeland, R. K. & McCabe, B. P. M., 2004. "Forecasting discrete valued low count time series," International Journal of Forecasting, Elsevier, vol. 20(3), pages 427-434.
    44. Elena-Ivona DUMITRESCU & Christophe HURLIN & Jaouad MADKOUR, 2011. "Testing Interval Forecasts: A New GMM-based Test," LEO Working Papers / DR LEO 1549, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    45. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    46. Hansen, Bruce E., 2006. "Interval forecasts and parameter uncertainty," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 377-398.
    47. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
    48. Garratt, Anthony & Mitchell, James & Vahey, Shaun P., 2014. "Measuring output gap nowcast uncertainty," International Journal of Forecasting, Elsevier, vol. 30(2), pages 268-279.
    49. Kevin Dowd, 2004. "The Swedish Inflation Fan Charts: An Evaluation of the Riksbank?s Inflation Density Forecasts," Occasional Papers 10, Industrial Economics Division, revised 11 Jan 2004.
    50. Goodness C. Aye & Mehmet Balcilar & Adél Bosch & Rangan Gupta & Francois Stofberg, 2013. "The out-of-sample forecasting performance of non-linear models of real exchange rate behaviour: The case of the South African Rand," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 10(1), pages 121-148, April.
    51. Christopher Spencer, 2006. "The Dissent Voting Behaviour of Bank of England MPC Members," School of Economics Discussion Papers 0306, School of Economics, University of Surrey.
    52. Jorge Fornero & Andrés Gatty, 2020. "Back testing fan charts of activity and inflation: the Chilean case," Working Papers Central Bank of Chile 881, Central Bank of Chile.
    53. Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.
    54. Knüppel, Malte & Schultefrankenfeld, Guido, 2008. "How informative are macroeconomic risk forecasts? An examination of the Bank of England's inflation forecasts," Discussion Paper Series 1: Economic Studies 2008,14, Deutsche Bundesbank.
    55. Goodhart, C. A. E. & Pradhan, Manoj, 2023. "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics 118680, London School of Economics and Political Science, LSE Library.
    56. Caraiani, Petre, 2016. "The role of money in DSGE models: a forecasting perspective," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 315-330.
    57. Matei Demetrescu, 2007. "Optimal forecast intervals under asymmetric loss," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 227-238.
    58. Anthony Garratt & James Mitchell & Shaun P. Vahey & Elizabeth C. Wakerly, 2009. "Real-time Inflation Forecast Densities from Ensemble Phillips Curves," Birkbeck Working Papers in Economics and Finance 0910, Birkbeck, Department of Economics, Mathematics & Statistics.
    59. Marc-Oliver Pohle, 2020. "The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation," Papers 2005.01835, arXiv.org.
    60. Onorante, Luca & Koop, Gary, 2012. "Estimating Phillips curves in turbulent times using the ECB's survey of professional forecasters," Working Paper Series 1422, European Central Bank.
    61. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    62. Klinger, Sabine & Heilemann, Ullrich, 2005. "Zu wenig Wettbewerb? Zu Stand und Entwicklung der Genauigkeit makroökonomischer Prognosen," Technical Reports 2005,16, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    63. Goodwin, Paul & Önkal, Dilek & Thomson, Mary, 2010. "Do forecasts expressed as prediction intervals improve production planning decisions?," European Journal of Operational Research, Elsevier, vol. 205(1), pages 195-201, August.
    64. Andrew J. Patton, 2006. "Estimation of multivariate models for time series of possibly different lengths," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173.
    65. Li, Yushu & Andersson, Jonas, 2014. "A Likelihood Ratio and Markov Chain Based Method to Evaluate Density Forecasting," Discussion Papers 2014/12, Norwegian School of Economics, Department of Business and Management Science.
    66. Goodhart, Charles, 2005. "An essay on the interactions between the Bank of England's forecasts, the MPC's policy adjustments, and the eventual outcome," LSE Research Online Documents on Economics 24665, London School of Economics and Political Science, LSE Library.
    67. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.
    68. Peñaranda, Francisco, 2003. "Evaluation of joint density forecasts of stock and bond returns: predictability and parameter uncertainty," LSE Research Online Documents on Economics 24857, London School of Economics and Political Science, LSE Library.
    69. Karsten R. Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Evaluating ensemble density combination - forecasting GDP and inflation," Working Paper 2009/19, Norges Bank.
    70. Heilemann Ullrich, 2004. "Besser geht’s nicht – Genauigkeitsgrenzen von Konjunkturprognosen / As Good as it Gets – Limits of Accuracy of Macroeconomic Short Term Forecasts," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(1-2), pages 51-64, February.
    71. Elena Ivona Dumitrescu & Christophe Hurlin & Jaouad Madkour, 2013. "Testing Interval Forecasts: a GMM-Based Approach," Post-Print hal-01385898, HAL.
    72. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
    73. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    74. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.

  7. Jacobs, Jan & Wallis, Kenneth F., 2002. "Comparing SVARs and SEMs: more shocking stories," Research Report 02C56, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Willem J.H. van Groenendaal, 2011. "Energy Model and Policy Advice: The Effect of Model Choice," Chapters, in: Raymond J.G.M. Florax & Henri L.F. de Groot & Peter Mulder (ed.), Improving Energy Efficiency through Technology, chapter 11, Edward Elgar Publishing.

  8. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F, 2002. "The Properties Of Some Goodness-Of-Fit Tests," The Warwick Economics Research Paper Series (TWERPS) 653, University of Warwick, Department of Economics.

    Cited by:

    1. G. Boero & E. Marrocu, 2002. "The performance of Setar Models: a regime conditional evaluation of point, interval and density forecasts," Working Paper CRENoS 200208, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Decompositions of Pearson's chi-squared test," Journal of Econometrics, Elsevier, vol. 123(1), pages 189-193, November.
    3. G. Marletto, 2006. "La politica dei trasporti come politica per l'innovazione: spunti da un approccio evolutivo," Working Paper CRENoS 200605, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. OA Carboni & G Medda, 2007. "Government Size and the Composition of Public Spending in a Neoclassical Growth Model," Working Paper CRENoS 200701, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  9. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.

    Cited by:

    1. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    2. Wojciech CHAREMZA & Carlos DÍAZ & Svetlana MAKAROVA, 2019. "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-18, March.
    3. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    4. Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2013. "Can macroeconomists forecast risk? Event-based evidence from the euro area SPF," Working Paper Series 1540, European Central Bank.
    5. Mehmet Balcilar & NICO KATZKE & Rangan Gupta, 2015. "Do Precious Metal Prices Help in Forecasting South African Inflation?," Working Papers 15-05, Eastern Mediterranean University, Department of Economics.
    6. Francisco Covas & Ben Rump & Egon Zakrajšek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
    7. Pierre L Siklos, 2010. "Relative Price Shocks, Inflation Expectations, and the Role of Monetary Policy," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    8. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
    9. Perez-Quiros, Gabriel & Timmermann, Allan, 2001. "Business cycle asymmetries in stock returns: Evidence from higher order moments and conditional densities," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 259-306, July.
    10. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    11. Shackleton, Mark B. & Taylor, Stephen J. & Yu, Peng, 2010. "A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2678-2693, November.
    12. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    13. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    14. Raffaella Giacomini & Andreas Gottschling & Christian Haefke & Halbert White, 2002. "Hypernormal densities," Economics Working Papers 638, Department of Economics and Business, Universitat Pompeu Fabra.
    15. Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
    16. G. Ascari & E. Marrocu, 2003. "Forecasting inflation: a comparison of linear Phillips curve models and nonlinear time serie models," Working Paper CRENoS 200307, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    17. Geoff Kenny & Thomas Kostka & Federico Masera, 2011. "How Informative are the Subjective Density Forecasts of Macroeconomists?," CESifo Working Paper Series 3671, CESifo.
    18. Lucio Sarno, 2003. "Nonlinear Exchange Rate Models: A Selective Overview," Rivista di Politica Economica, SIPI Spa, vol. 93(4), pages 3-46, July-Augu.
    19. Luisa Bisaglia & Matteo Grigoletto, 2018. "A new time-varying model for forecasting long-memory series," Papers 1812.07295, arXiv.org.
    20. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    21. Niguez, Trino-Manuel & Perote, Javier, 2004. "Forecasting the density of asset returns," LSE Research Online Documents on Economics 6845, London School of Economics and Political Science, LSE Library.
    22. Knotek, Edward S. & Zaman, Saeed, 2023. "Real-time density nowcasts of US inflation: A model combination approach," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
    23. João Henrique G. Mazzeu & Gloria González-Rivera & Esther Ruiz & Helena Veiga, 2020. "A bootstrap approach for generalized Autocontour testing Implications for VIX forecast densities," Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 971-990, November.
    24. Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2013. "Prediction of time series by statistical learning: general losses and fast rates," Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
    25. Kannika Duangnate & James W. Mjelde, 2020. "Prequential forecasting in the presence of structure breaks in natural gas spot markets," Empirical Economics, Springer, vol. 59(5), pages 2363-2384, November.
    26. Yushu Li & Jonas Andersson, 2020. "A likelihood ratio and Markov chain‐based method to evaluate density forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 47-55, January.
    27. George A. Krause, 2006. "Beyond the Norm," Rationality and Society, , vol. 18(2), pages 157-191, May.
    28. Michal Franta, 2016. "The Effect of Nonlinearity between Credit Conditions and Economic Activity on Density Forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(2), pages 147-166, March.
    29. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    30. Elliott, Graham & Timmermann, Allan, 2002. "Optimal Forecast Combination Under General Loss Functions and Forecast Error Distributions," University of California at San Diego, Economics Working Paper Series qt15r9t2q2, Department of Economics, UC San Diego.
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    2. G. Boero & J. Smith & KF. Wallis, 2002. "The properties of some goodness-of-fit tests," Working Paper CRENoS 200209, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. Norman R. Swanson & Nii Ayi Armah, 2011. "Predictive Inference Under Model Misspecification with an Application to Assessing the Marginal Predictive Content of Money for Output," Departmental Working Papers 201103, Rutgers University, Department of Economics.
    4. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
    5. Michal Franta & Jozef Barunik & Roman Horvath & Katerina Smidkova, 2011. "Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests," Working Papers 2011/10, Czech National Bank, Research and Statistics Department.
    6. Campbell, Sean D. & Diebold, Francis X., 2004. "Weather forecasting for weather derivatives," CFS Working Paper Series 2004/10, Center for Financial Studies (CFS).
    7. G. Ascari & E. Marrocu, 2003. "Forecasting inflation: a comparison of linear Phillips curve models and nonlinear time serie models," Working Paper CRENoS 200307, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    8. Lahiri, Kajal & Liu, Fushang, 2005. "ARCH models for multi-period forecast uncertainty-a reality check using a panel of density forecasts," MPRA Paper 21693, University Library of Munich, Germany.
    9. Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2013. "Prediction of time series by statistical learning: general losses and fast rates," Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
    10. Gabriela de Raaij & Burkhard Raunig, 2002. "Evaluating Density Forecasts with an Application to Stock Market Returns," Working Papers 59, Oesterreichische Nationalbank (Austrian Central Bank).
    11. Bharat Barot, 2005. "How Accurate Are The Swedish Forecasters On Gdp-Growth,Cpi- Inflation And Unemployment? (1993-2001)," Macroeconomics 0510017, University Library of Munich, Germany.
    12. Arrieta-Prieto, Mario & Schell, Kristen R., 2022. "Spatio-temporal probabilistic forecasting of wind power for multiple farms: A copula-based hybrid model," International Journal of Forecasting, Elsevier, vol. 38(1), pages 300-320.
    13. Mestre, Ricardo, 2007. "Are survey-based inflation expections in the euro area informative?," Working Paper Series 721, European Central Bank.
    14. Robert R. Bliss & Nikolaos Panigirtzoglou, 2001. "Recovering risk aversion from options," Working Paper Series WP-01-15, Federal Reserve Bank of Chicago.
    15. Clements, Michael P., 2006. "Internal consistency of survey respondentsíforecasts: Evidence based on the Survey of Professional Forecasters," Economic Research Papers 269742, University of Warwick - Department of Economics.
    16. Clements, Michael P., 2008. "Rounding of probability forecasts: The SPF forecast probabilities of negative output growth," Economic Research Papers 269880, University of Warwick - Department of Economics.
    17. Richhild Moessner & Feng Zhu & Colin Ellis, 2011. "Measuring disagreement in UK consumer and central bank inflation forecasts," BIS Working Papers 339, Bank for International Settlements.
    18. Valentina Corradi & Norman R. Swanson, 2003. "A Test for Comparing Multiple Misspecified Conditional Distributions," Departmental Working Papers 200314, Rutgers University, Department of Economics.
    19. Tsyplakov, Alexander, 2010. "The links between inflation and inflation uncertainty at the longer horizon," MPRA Paper 26908, University Library of Munich, Germany.
    20. Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998. "Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange," Center for Financial Institutions Working Papers 99-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
    21. Refet Gürkaynak & Justin Wolfers, 2005. "Macroeconomic Derivatives: An Initial Analysis of Market-Based Macro Forecasts, Uncertainty, and Risk," NBER Chapters, in: NBER International Seminar on Macroeconomics 2005, pages 11-50, National Bureau of Economic Research, Inc.
    22. Di Nino, Virginia & Aprigliano, Valentina, 2024. "How income expectations adjust to inflation – a consumers’ expectations-revealed pass-through," Working Paper Series 2986, European Central Bank.
    23. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    24. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2011. "Inflation uncertainty revisited: A proposal for robust measurement," ifo Working Paper Series 111, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    25. Diep Duong & Norman Swanson, 2013. "Density and Conditional Distribution Based Specification Analysis," Departmental Working Papers 201312, Rutgers University, Department of Economics.
    26. Corradi, Valentina & Swanson, Norman R., 2006. "Bootstrap conditional distribution tests in the presence of dynamic misspecification," Journal of Econometrics, Elsevier, vol. 133(2), pages 779-806, August.
    27. Cees Diks & Valentyn Panchenko & Dick van Dijk, 2008. "Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails," Discussion Papers 2008-10, School of Economics, The University of New South Wales.
    28. Shamiri, Ahmed & Shaari, Abu Hassan & Isa, Zaidi, 2007. "Practical Volatility Modeling for Financial Market Risk Management," MPRA Paper 9790, University Library of Munich, Germany, revised 15 May 2008.
    29. Michael P. Clements, 2014. "US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
    30. Robert W. Rich & Joseph Tracy, 2003. "Modeling uncertainty: predictive accuracy as a proxy for predictive confidence," Staff Reports 161, Federal Reserve Bank of New York.
    31. Amisano, Gianni & Giacomini, Raffaella, 2007. "Comparing Density Forecasts via Weighted Likelihood Ratio Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
    32. Deniz Igan & Thomas Lambert & Prachi Mishra & Eden Zhang, 2024. "The Politics of the Paycheck Protection Program," Working Papers 133, Ashoka University, Department of Economics.
    33. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    34. Giordani, Paolo & Soderlind, Paul, 2003. "Inflation forecast uncertainty," European Economic Review, Elsevier, vol. 47(6), pages 1037-1059, December.
    35. Cai, Lili & Swanson, Norman R., 2011. "In- and out-of-sample specification analysis of spot rate models: Further evidence for the period 1982-2008," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 743-764, September.
    36. Shamiri, Ahmed & Shaari, Abu Hassan & Isa, Zaidi, 2008. "Comparing the accuracy of density forecasts from competing GARCH models," MPRA Paper 13662, University Library of Munich, Germany.
    37. Patrick T. Brandt & John R. Freeman & Philip A. Schrodt, 2011. "Real Time, Time Series Forecasting of Inter- and Intra-State Political Conflict," Conflict Management and Peace Science, Peace Science Society (International), vol. 28(1), pages 41-64, February.
    38. Barot, Bharat, 2007. "Empirical Studies in Consumption, House Prices and the Accuracy of European Growth and Inflation Forecasts," Working Papers 98, National Institute of Economic Research.
    39. Wang, Yudong & Zhang, Bing & Diao, Xundi & Wu, Chongfeng, 2015. "Commodity price changes and the predictability of economic policy uncertainty," Economics Letters, Elsevier, vol. 127(C), pages 39-42.
    40. Öller, Lars-Erik & Barot, Bharat, 2000. "The Accuracy of European Growth and Inflation Forecasts," Working Papers 72, National Institute of Economic Research.
    41. Kreye, M.E. & Goh, Y.M. & Newnes, L.B. & Goodwin, P., 2012. "Approaches to displaying information to assist decisions under uncertainty," Omega, Elsevier, vol. 40(6), pages 682-692.
    42. Dean Croushore, 2010. "Philadelphia Fed forecasting surveys: their value for research," Business Review, Federal Reserve Bank of Philadelphia, issue Q3, pages 1-11.
    43. Jordi Pons, 2001. "The rationality of price forecasts: a directional analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 287-290.

  11. Burridge, Peter & Wallis, Kenneth F, 1984. "Calculating the Variance of Seasonally Adjusted Series," The Warwick Economics Research Paper Series (TWERPS) 251, University of Warwick, Department of Economics.

    Cited by:

    1. Diebold, F.X. & Kilian, L. & Nerlove, Marc, 2006. "Time Series Analysis," Working Papers 28556, University of Maryland, Department of Agricultural and Resource Economics.
    2. Siem Jan Koopman & Philip Hans Franses, 2002. "Constructing Seasonally Adjusted Data with Time‐varying Confidence Intervals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 509-526, December.
    3. William P. Cleveland, 2002. "Estimated variance of seasonally adjusted series," Finance and Economics Discussion Series 2002-15, Board of Governors of the Federal Reserve System (U.S.).
    4. Agustín Maravall & Cristophe Planas, 1996. "Estimation Error and the Specification of Unobserved Component Models," Working Papers 9608, Banco de España.
    5. Christophe Planas & Alessandro Rossi, 2004. "Can inflation data improve the real-time reliability of output gap estimates?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 121-133.

  12. Burridge, Peter & Wallis, Kenneth F, 1983. "Signal Extraction in Nonstationary Series," The Warwick Economics Research Paper Series (TWERPS) 234, University of Warwick, Department of Economics.

    Cited by:

    1. Francesco Bianchi & Giovanni Nicolò & Dongho Song, 2023. "Inflation and Real Activity over the Business Cycle," NBER Working Papers 31075, National Bureau of Economic Research, Inc.

  13. Burridge, Peter & Wallis, Kenneth F, 1983. "Unobserved-Components Models for Seasonal Adjustment Filters," The Warwick Economics Research Paper Series (TWERPS) 244, University of Warwick, Department of Economics.

    Cited by:

    1. Álvarez, Luis J. & Delrieu, Juan C. & Espasa, Antoni, 1992. "Aproximación lineal por tramos a comportamientos no lineales: estimación de señales de nivel y crecimiento," DES - Documentos de Trabajo. Estadística y Econometría. DS 2940, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Eric Ghysels & Clive W.J. Granger & Pierre L. Siklos, 1995. "Is Seasonal Adjustment a Linear or Nonlinear Data Filtering Process?," CIRANO Working Papers 95s-19, CIRANO.
    3. Neil R. Ericsson & David F. Hendry & Hong-Anh Tran, 1993. "Cointegration, seasonality, encompassing, and the demand for money in the United Kingdom," International Finance Discussion Papers 457, Board of Governors of the Federal Reserve System (U.S.).
    4. Osborn, Denise R. & Heravi, Saeed & Birchenhall, C. R., 1999. "Seasonal unit roots and forecasts of two-digit European industrial production," International Journal of Forecasting, Elsevier, vol. 15(1), pages 27-47, February.
    5. Kaiser, Regina & Maravall, Agustin, 2005. "Combining filter design with model-based filtering (with an application to business-cycle estimation)," International Journal of Forecasting, Elsevier, vol. 21(4), pages 691-710.
    6. Kaiser Remiro, Regina & Maravall, Agustín, 1999. "Short-term and long-term trends, seasonal and the business cycle," DES - Working Papers. Statistics and Econometrics. WS 6291, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Huang, Tai-Hsin & Shen, Chung-Hua, 2002. "Seasonal cointegration and cross-equation restrictions on a forward-looking buffer stock model of money demand," Journal of Econometrics, Elsevier, vol. 111(1), pages 11-46, November.
    8. A Matas-Mir & D R Osborn, 2003. "Seasonal Adjustment and the Detection of Business Cycle Phases," Centre for Growth and Business Cycle Research Discussion Paper Series 26, Economics, The University of Manchester.
    9. Harris, Richard D.F. & Yilmaz, Fatih, 2008. "Retrieving seasonally adjusted quarterly growth rates from annual growth rates that are reported quarterly," European Journal of Operational Research, Elsevier, vol. 188(3), pages 846-853, August.
    10. Tomas del Barrio Castro & Denise R. Osborn, 2006. "A Random Walk through Seasonal Adjustment: Noninvertible Moving Averages and Unit Root Tests," Economics Discussion Paper Series 0612, Economics, The University of Manchester.
    11. McElroy Tucker S, 2010. "A Nonlinear Algorithm for Seasonal Adjustment in Multiplicative Component Decompositions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-23, September.
    12. Crafts, N. F. R. & Leybourne, S. J. & Mills, T. C., 1988. "Economic Growth In Nineteeth Century Britain: Comparisons With Europe In The Context Of Gerschenkron'S Hypotheses," Economic Research Papers 268342, University of Warwick - Department of Economics.
    13. Regina Kaiser & Agustín Maravall, 2000. "Notes on Time Series Analysis, ARIMA Models and Signal Extraction," Working Papers 0012, Banco de España.
    14. Kaiser Remiro, Regina & Maravall, Agustín, 2000. "Notes on time serie analysis, ARIMA models and signal extraction," DES - Working Papers. Statistics and Econometrics. WS 10058, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Antonio Matas-Mir & Denise R. Osborn & Marco J. Lombardi, 2008. "The effect of seasonal adjustment on the properties of business cycle regimes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 257-278.
    16. Webel, Karsten, 2016. "A data-driven selection of an appropriate seasonal adjustment approach," Discussion Papers 07/2016, Deutsche Bundesbank.
    17. Josef Arlt, 2023. "The problem of annual inflation rate indicator," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2772-2788, July.
    18. Tomás del Barrio Castro & Denise R. Osborn & A.M. Robert Taylor, 2012. "The Performance of Lag Selection and Detrending Methods for HEGY Seasonal Unit Root Tests," Economics Discussion Paper Series 1228, Economics, The University of Manchester.
    19. Paulo Rodrigues & Denise Osborn, 1999. "Performance of seasonal unit root tests for monthly data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 985-1004.

  14. Wallis, Kenneth F, 1981. "Models for X-11 and 'X-11-Forecast' Procedures for Preliminary and Revised Seasonal Adjustments," The Warwick Economics Research Paper Series (TWERPS) 198, University of Warwick, Department of Economics.

    Cited by:

    1. D. Stephen G. Pollock, 2018. "Filters, Waves and Spectra," Econometrics, MDPI, vol. 6(3), pages 1-33, July.
    2. Luati, Alessandra & Proietti, Tommaso, 2008. "On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing," MPRA Paper 8910, University Library of Munich, Germany.

  15. Wallis, Kenneth F, 1981. "Dynamic Models and Expectations Hypotheses," The Warwick Economics Research Paper Series (TWERPS) 187, University of Warwick, Department of Economics.

    Cited by:

    1. Junior, Renato Galvão Flôres & Szafarz, Ariane, 1992. "Minimal identification of dynamic rational expectations systems," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 46(3), July.

  16. Salmon, Mark & Wallis, Kenneth F, 1980. "Model Validation and Forecast Comparisons : Theoretical and Practical Considerations," The Warwick Economics Research Paper Series (TWERPS) 184, University of Warwick, Department of Economics.

    Cited by:

    1. Gajda, Jan B. & Markowski, Aleksander, 1998. "Model Evaluation Using Stochastic Simulations: The Case of the Econometric Model KOSMOS," Working Papers 61, National Institute of Economic Research.
    2. Jeffrey A. Frankel and Richard Meese., 1987. "Are Exchange Rates Excessively Variable," Economics Working Papers 8738, University of California at Berkeley.

Articles

  1. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2015. "The Measurement and Characteristics of Professional Forecasters' Uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1029-1046, November.

    Cited by:

    1. Hana Braitsch & James Mitchell & Taylor Shiroff, 2024. "Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation," Working Papers 24-25, Federal Reserve Bank of Cleveland.
    2. Li, You & Tay, Anthony, 2021. "The role of macroeconomic and policy uncertainty in density forecast dispersion," Journal of Macroeconomics, Elsevier, vol. 67(C).
    3. Olesya Grishchenko & Sarah Mouabbi & Jean‐Paul Renne, 2019. "Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1053-1096, August.
    4. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    5. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    6. Yoshiyuki Nakazono & Maiko Koga & Tomohiro Sugo, 2018. "Private Information and Analyst Coverage: Evidence from Firm Survey Data," Bank of Japan Working Paper Series 18-E-17, Bank of Japan.
    7. Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    8. Robert Rich & Joseph Tracy, 2021. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 233-253, February.
    9. Alexander Glas & Matthias Hartmann, 2022. "Uncertainty measures from partially rounded probabilistic forecast surveys," Quantitative Economics, Econometric Society, vol. 13(3), pages 979-1022, July.
    10. Pedersen, Michael, 2019. "Anomalies in macroeconomic prediction errors–evidence from Chilean private forecasters," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1100-1107.
    11. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    12. Conrad, Christian & Lahiri, Kajal, 2023. "Heterogeneous expectations among professional forecasters," ZEW Discussion Papers 23-062, ZEW - Leibniz Centre for European Economic Research.
    13. Monique Reid & Pierre Siklos, 2024. "Firm Level Expectations and Macroeconomic Conditions: Underpinnings and Disagreement," CAMA Working Papers 2024-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    15. Michael P. Clements, 2022. "Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 537-568, March.
    16. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    17. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018. "Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
    18. Robert W. Rich & Joseph Tracy, 2017. "The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis," Staff Reports 808, Federal Reserve Bank of New York.
    19. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    20. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    21. Markus Eyting & Patrick Schmidt, 2019. "Belief Elicitation with Multiple Point Predictions," Working Papers 1818, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 16 Nov 2020.
    22. Knüppel, Malte, 2014. "Forecast-error-based estimation of forecast uncertainty when the horizon is increased," Discussion Papers 40/2014, Deutsche Bundesbank.
    23. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    24. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    25. Fabian Krüger, 2017. "Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms," Empirical Economics, Springer, vol. 53(1), pages 235-246, August.
    26. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.

  2. 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.

    Cited by:

    1. Pavlova, Lora, 2024. "Framing effects in consumer expectations surveys," ZEW Discussion Papers 24-036, ZEW - Leibniz Centre for European Economic Research.
    2. Hana Braitsch & James Mitchell & Taylor Shiroff, 2024. "Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation," Working Papers 24-25, Federal Reserve Bank of Cleveland.
    3. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    4. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
    5. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    6. Corona, Francisco & Tena Horrillo, Juan de Dios & Wiper, Michael Peter, 2015. "On the importance of the probabilistic model in identifying the most decisive game in a tournament," DES - Working Papers. Statistics and Econometrics. WS 21174, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Rosa, Carlo, 2011. "Words that shake traders," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 915-934.
    8. Kannika Duangnate & James W. Mjelde, 2020. "Prequential forecasting in the presence of structure breaks in natural gas spot markets," Empirical Economics, Springer, vol. 59(5), pages 2363-2384, November.
    9. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    10. Alexander Glas & Matthias Hartmann, 2022. "Uncertainty measures from partially rounded probabilistic forecast surveys," Quantitative Economics, Econometric Society, vol. 13(3), pages 979-1022, July.
    11. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    12. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, vol. 48(3), pages 1203-1231, May.
    13. Tsyplakov, Alexander, 2014. "Theoretical guidelines for a partially informed forecast examiner," MPRA Paper 55017, University Library of Munich, Germany.
    14. Krüger, Fabian & Pavlova, Lora, 2020. "Quantifying subjective uncertainty in survey expectations," Working Paper Series in Economics 139, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    15. David Harris & Gael M. Martin & Indeewara Perera & Don S. Poskitt, 2017. "Construction and visualization of optimal confidence sets for frequentist distributional forecasts," Monash Econometrics and Business Statistics Working Papers 9/17, Monash University, Department of Econometrics and Business Statistics.
    16. Michael K. Adjemian & Valentina G. Bruno & Michel A. Robe, 2020. "Incorporating Uncertainty into USDA Commodity Price Forecasts," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 696-712, March.
    17. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    18. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    19. BAN Kanemi & KAWAGOE Masaaki & MATSUOKA Hideaki, 2013. "Evaluating Density Forecasts with Applications to ESPF," ESRI Discussion paper series 302, Economic and Social Research Institute (ESRI).
    20. Jan-Egbert Sturm & Jakob de Haan & Jakob de Haan, 2009. "Does Central Bank Communication really Lead to better Forecasts of Policy Decisions? New Evidence Based on a Taylor Rule Model for the ECB," CESifo Working Paper Series 2760, CESifo.
    21. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "What is the Predictive Value of SPF Point and Density Forecasts?," Working Papers 22-37, Federal Reserve Bank of Cleveland.
    22. Krüger, Fabian & Pavlova, Lora, 2024. "Quantifying subjective uncertainty in survey expectations," International Journal of Forecasting, Elsevier, vol. 40(2), pages 796-810.
    23. Michael P. Clements, 2020. "Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts," ICMA Centre Discussion Papers in Finance icma-dp2020-01, Henley Business School, University of Reading.
    24. Constandina Koki & Loukia Meligkotsidou & Ioannis Vrontos, 2020. "Forecasting under model uncertainty: Non‐homogeneous hidden Markov models with Pòlya‐Gamma data augmentation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 580-598, July.

  3. James Mitchell & Kenneth F. Wallis, 2011. "Evaluating density forecasts: forecast combinations, model mixtures, calibration and sharpness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 1023-1040, September.

    Cited by:

    1. 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.
    2. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    3. Wojciech CHAREMZA & Carlos DÍAZ & Svetlana MAKAROVA, 2019. "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-18, March.
    4. Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2013. "Can macroeconomists forecast risk? Event-based evidence from the euro area SPF," Working Paper Series 1540, European Central Bank.
    5. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    6. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    7. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107034723, June.
    8. Barbara Rossi, 2021. "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1135-1190, December.
    9. Harvey, A. & Palumbo, D., 2019. "Score-Driven Models for Realized Volatility," Cambridge Working Papers in Economics 1950, Faculty of Economics, University of Cambridge.
    10. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    11. Emilio Zanetti Chini, 2018. "Forecaster’s utility and forecasts coherence," CREATES Research Papers 2018-01, Department of Economics and Business Economics, Aarhus University.
    12. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    13. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    14. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    15. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
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    40. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    41. Andres, Philipp, 2014. "Maximum likelihood estimates for positive valued dynamic score models; The DySco package," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 34-42.
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    44. Justyna Wróblewska & Anna Pajor, 2019. "One-period joint forecasts of Polish inflation, unemployment and interest rate using Bayesian VEC-MSF models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 23-45, March.
    45. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
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    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Christopher Gibbs, 2015. "Forecast Combination, Non-linear Dynamics, and the Macroeconomy," Discussion Papers 2015-05, School of Economics, The University of New South Wales.
    3. Beltrán, Sergio & Castro, Alain & Irizar, Ion & Naveran, Gorka & Yeregui, Imanol, 2022. "Framework for collaborative intelligence in forecasting day-ahead electricity price," Applied Energy, Elsevier, vol. 306(PA).
    4. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
    5. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    6. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    7. Zhang, Gang & Yang, Dazhi & Galanis, George & Androulakis, Emmanouil, 2022. "Solar forecasting with hourly updated numerical weather prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    8. David A. Mascio & Frank J. Fabozzi & J. Kenton Zumwalt, 2021. "Market timing using combined forecasts and machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 1-16, January.
    9. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    10. Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012. "Optimal Combination of Survey Forecasts," Working Papers ECARES ECARES 2012-023, ULB -- Universite Libre de Bruxelles.
    11. Yang, Dazhi & van der Meer, Dennis, 2021. "Post-processing in solar forecasting: Ten overarching thinking tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    12. Chen, Yi-Ting & Liu, Chu-An, 2023. "Model averaging for asymptotically optimal combined forecasts," Journal of Econometrics, Elsevier, vol. 235(2), pages 592-607.
    13. Gianni Amisano & John Geweke, 2017. "Prediction Using Several Macroeconomic Models," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 912-925, December.
    14. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2021. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone In?ation and Real Interest Rates," PIER Working Paper Archive 21-002, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Thomson, Mary E. & Pollock, Andrew C. & Önkal, Dilek & Gönül, M. Sinan, 2019. "Combining forecasts: Performance and coherence," International Journal of Forecasting, Elsevier, vol. 35(2), pages 474-484.
    16. Rodríguez-Vargas, Adolfo, 2020. "Forecasting Costa Rican inflation with machine learning methods," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    17. Bartosz Uniejewski & Katarzyna Maciejowska, 2022. "LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling," Papers 2207.04794, arXiv.org.
    18. Katarzyna Maciejowska & Bartosz Uniejewski & Tomasz Serafin, 2020. "PCA forecast averaging - predicting day-ahead and intraday electricity prices," WORking papers in Management Science (WORMS) WORMS/20/02, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    19. Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
    20. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    21. Christopher G. Gibbs & Andrey L. Vasnev, 2017. "Conditionally Optimal Weights and Forward-Looking Approaches to Combining Forecasts," Discussion Papers 2017-10, School of Economics, The University of New South Wales.
    22. Kenneth C. Lichtendahl & Yael Grushka-Cockayne & Robert L. Winkler, 2013. "Is It Better to Average Probabilities or Quantiles?," Management Science, INFORMS, vol. 59(7), pages 1594-1611, July.
    23. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    24. Fabio Busetti, 2017. "Quantile Aggregation of Density Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 495-512, August.
    25. Jakub Nowotarski & Rafal Weron, 2016. "To combine or not to combine? Recent trends in electricity price forecasting," HSC Research Reports HSC/16/01, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    26. Saghafian, Soroush & Tomlin, Brian & Biller, Stephan, 2018. "The Internet of Things and Information Fusion: Who Talks to Who?," Working Paper Series rwp18-009, Harvard University, John F. Kennedy School of Government.
    27. Mihaela SIMIONESCU, 2014. "Improving The Inflation Rate Forecasts Of Romanian Experts Using A Fixed-Effects Models Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 87-102, June.
    28. Yang, Dazhi & Yang, Guoming & Liu, Bai, 2023. "Combining quantiles of calibrated solar forecasts from ensemble numerical weather prediction," Renewable Energy, Elsevier, vol. 215(C).
    29. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    30. Silviu Pitis & Michael R. Zhang, 2020. "Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes," Papers 2001.10092, arXiv.org.
    31. Kamiński, Bogumił, 2015. "A method for the updating of stochastic kriging metamodels," European Journal of Operational Research, Elsevier, vol. 247(3), pages 859-866.
    32. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    33. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.
    34. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).
    35. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
    36. Jakub Nowotarski & Bidong Liu & Rafal Weron & Tao Hong, 2015. "Improving short term load forecast accuracy via combining sister forecasts," HSC Research Reports HSC/15/05, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    37. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).
    38. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.
    39. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    40. Alexander Frenkel A. & Natalia Volkova N. & Anton Surkov A. & Александр Френкель Адольфович & Наталия Волкова Николаевна & Антон Сурков Александрович, 2017. "Повышение точности прогнозирования интегральных показателей на основе объединения прогнозов // Improving the Prediction Accuracy of the Integral Indicators by the Means of Combining Forecasts," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 21(5), pages 118-127.
    41. Valeria Croce & Karl Wöber & John Kester, 2016. "Expert identification and calibration for collective forecasting tasks," Tourism Economics, , vol. 22(5), pages 979-994, October.

  5. Jacobs, Jan P.A.M. & Wallis, Kenneth F., 2010. "Cointegration, long-run structural modelling and weak exogeneity: Two models of the UK economy," Journal of Econometrics, Elsevier, vol. 158(1), pages 108-116, September.
    See citations under working paper version above.
  6. Jeremy Smith & Kenneth F. Wallis, 2009. "A Simple Explanation of the Forecast Combination Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 331-355, June.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    3. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    4. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    5. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    6. Christopher Gibbs, 2015. "Forecast Combination, Non-linear Dynamics, and the Macroeconomy," Discussion Papers 2015-05, School of Economics, The University of New South Wales.
    7. Yusupova, Alisa & Pavlidis, Nicos G. & Pavlidis, Efthymios G., 2023. "Dynamic linear models with adaptive discounting," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1925-1944.
    8. Tae-Hwy Lee & Ekaterina Seregina, 2022. "Combining Forecasts under Structural Breaks Using Graphical LASSO," Working Papers 202213, University of California at Riverside, Department of Economics.
    9. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    10. Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2014. "Forecasting UK GDP growth and inflation under structural change. A comparison of models with time-varying parameters," International Journal of Forecasting, Elsevier, vol. 30(1), pages 129-143.
    11. Krüger Fabian & Pohlmeier Winfried & Mokinski Frieder, 2011. "Combining Survey Forecasts and Time Series Models: The Case of the Euribor," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 63-81, February.
    12. Eric Hillebrand & Huiyu Huang & Tae-Hwy Lee & Canlin Li, 2018. "Using the Entire Yield Curve in Forecasting Output and Inflation," Econometrics, MDPI, vol. 6(3), pages 1-27, August.
    13. Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
    14. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    15. Tsvetomira Tsenova, 2015. "Are Long-Term Inflation Expectations Well-Anchored? Evidence From The Euro Area And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 67(1), pages 65-82, January.
    16. Claeskens, Gerda & Magnus, Jan R. & Vasnev, Andrey L. & Wang, Wendun, 2016. "The forecast combination puzzle: A simple theoretical explanation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 754-762.
    17. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    18. Qiu, Yue & Zheng, Yuchen, 2023. "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, vol. 125(C).
    19. Esteban Fernández-Vázquez & Blanca Moreno, 2017. "Entropy Econometrics for combining regional economic forecasts: A Data-Weighted Prior Estimator," Journal of Geographical Systems, Springer, vol. 19(4), pages 349-370, October.
    20. Nowotarski, Jakub & Raviv, Eran & Trück, Stefan & Weron, Rafał, 2014. "An empirical comparison of alternative schemes for combining electricity spot price forecasts," Energy Economics, Elsevier, vol. 46(C), pages 395-412.
    21. Martin Scheicher, 2010. "“Return-free risk”? Market pricing in credit risk markets," Research Bulletin, European Central Bank, vol. 11, pages 7-8.
    22. Seojeong Lee & Youngki Shin, 2018. "Optimal Estimation with Complete Subsets of Instruments," Department of Economics Working Papers 2018-15, McMaster University.
    23. Montero-Manso, Pablo & Athanasopoulos, George & Hyndman, Rob J. & Talagala, Thiyanga S., 2020. "FFORMA: Feature-based forecast model averaging," International Journal of Forecasting, Elsevier, vol. 36(1), pages 86-92.
    24. Masayoshi Hayashi, 2012. "Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program," CIRJE F-Series CIRJE-F-846, CIRJE, Faculty of Economics, University of Tokyo.
    25. Li, Haohua & Mei, Yuhe & Hao, Xianfeng & Chen, Zhuo, 2024. "Out-of-sample equity premium predictability: An EMD-denoising based model," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
    26. Pysarenko, Sergiy & Alexeev, Vitali & Tapon, Francis, 2019. "Predictive blends: Fundamental Indexing meets Markowitz," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 28-42.
    27. Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.
    28. Kourentzes, Nikolaos & Barrow, Devon & Petropoulos, Fotios, 2019. "Another look at forecast selection and combination: Evidence from forecast pooling," International Journal of Production Economics, Elsevier, vol. 209(C), pages 226-235.
    29. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    30. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    31. Mekelburg, Erik & Strauss, Jack, 2024. "Pooling and winsorizing machine learning forecasts to predict stock returns with high-dimensional data," Journal of Empirical Finance, Elsevier, vol. 79(C).
    32. Marina Diakonova & Luis Molina & Hannes Mueller & Javier J. Pérez & Cristopher Rauh, 2022. "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Working Papers 2232, Banco de España.
    33. Benjamin Avanzi & Yanfeng Li & Bernard Wong & Alan Xian, 2022. "Ensemble distributional forecasting for insurance loss reserving," Papers 2206.08541, arXiv.org, revised Jun 2024.
    34. Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
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  7. Gianna Boero & Jeremy Smith & KennethF. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
    See citations under working paper version above.
  8. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.

    Cited by:

    1. Michael K Andersson & Ted Aranki & André Reslow, 2017. "Adjusting for information content when comparing forecast performance," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 784-794, November.
    2. Capistrán, Carlos & López-Moctezuma, Gabriel, 2014. "Forecast revisions of Mexican inflation and GDP growth," International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
    3. Bovi, Maurizio, 2009. "Economic versus psychological forecasting. Evidence from consumer confidence surveys," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 563-574, August.
    4. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    5. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    6. Matei Demetrescu & Mu-Chun Wang, 2014. "Incorporating Asymmetric Preferences into Fan Charts and Path Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 287-297, April.
    7. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?," Macroeconomics and Finance Series 201201, University of Hamburg, Department of Socioeconomics.
    8. Demetrescu, Matei & Hacioglu Hoke, Sinem, 2018. "Predictive regressions under asymmetric loss: factor augmentation and model selection," Bank of England working papers 723, Bank of England.
    9. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    10. Jonas Dovern & Johannes Weisser, 2009. "Accuracy, Unbiasedness and Efficiency of Professional Macroeconomic Forecasts: An empirical Comparison for the G7," Jena Economics Research Papers 2009-091, Friedrich-Schiller-University Jena.
    11. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
    12. Haberis, Alex & Masolo, Riccardo & Reinold, Kate, 2016. "Deflation probability and the scope for monetary loosening in the United Kingdom," Bank of England working papers 627, Bank of England.
    13. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.
    14. 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.
    15. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," Post-Print hal-03399242, HAL.
    16. Klein, Tony, 2022. "Agree to disagree? Predictions of U.S. nonfarm payroll changes between 2008 and 2020 and the impact of the COVID19 labor shock," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 264-286.

  9. Gianna Boero & Jeremy Smith & Kenneth Wallis, 2005. "The Sensitivity of Chi-Squared Goodness-of-Fit Tests to the Partitioning of Data," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 341-370.
    See citations under working paper version above.
  10. Kenneth F. Wallis, 2005. "Combining Density and Interval Forecasts: A Modest Proposal," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 983-994, December.

    Cited by:

    1. 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.
    2. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    3. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    5. Hana Braitsch & James Mitchell & Taylor Shiroff, 2024. "Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation," Working Papers 24-25, Federal Reserve Bank of Cleveland.
    6. Jakub Nowotarski & Rafal Weron, 2014. "Merging quantile regression with forecast averaging to obtain more accurate interval forecasts of Nord Pool spot prices," HSC Research Reports HSC/14/03, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    7. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    8. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    9. Levenko, Natalia, 2020. "Rounding bias in forecast uncertainty," Research in Economics, Elsevier, vol. 74(4), pages 277-291.
    10. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
    11. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Lahiri, Kajal & Liu, Fushang, 2005. "ARCH models for multi-period forecast uncertainty-a reality check using a panel of density forecasts," MPRA Paper 21693, University Library of Munich, Germany.
    13. Bidong Liu & Jakub Nowotarski & Tao Hong & Rafal Weron, 2015. "Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts," HSC Research Reports HSC/15/01, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    14. Anthoulla Phella, 2020. "Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach," Papers 2010.12263, arXiv.org.
    15. Pär Österholm, 2006. "Incorporating judgement in fan charts," Finance and Economics Discussion Series 2006-39, Board of Governors of the Federal Reserve System (U.S.).
    16. Jagjit Chadha, 2016. "The New Art of Central Banking," National Institute of Economic and Social Research (NIESR) Discussion Papers 472, National Institute of Economic and Social Research.
    17. Geweke, John & Amisano, Gianni, 2011. "Optimal prediction pools," Journal of Econometrics, Elsevier, vol. 164(1), pages 130-141, September.
    18. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    19. Francesco Ravazzolo & Shaun P. Vahey, 2010. "Forecast densities for economic aggregates from disaggregate ensembles," Working Paper 2010/02, Norges Bank.
    20. Robert Rich & Joseph Tracy, 2021. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 233-253, February.
    21. 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.
    22. Tony Chernis & Taylor Webley, 2022. "Nowcasting Canadian GDP with Density Combinations," Discussion Papers 2022-12, Bank of Canada.
    23. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    24. Robert W. Rich & Joseph Song & Joseph Tracy, 2012. "The measurement and behavior of uncertainty: evidence from the ECB Survey of Professional Forecasters," Staff Reports 588, Federal Reserve Bank of New York.
    25. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    26. Matei Demetrescu & Mu-Chun Wang, 2014. "Incorporating Asymmetric Preferences into Fan Charts and Path Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 287-297, April.
    27. Stefania D'Amico & Athanasios Orphanides, 2014. "Inflation Uncertainty and Disagreement in Bond Risk Premia," Working Paper Series WP-2014-24, Federal Reserve Bank of Chicago.
    28. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    29. Dr. James Mitchell, 2009. "Measuring Output Gap Uncertainty," National Institute of Economic and Social Research (NIESR) Discussion Papers 342, National Institute of Economic and Social Research.
    30. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    31. Dr. James Mitchell, 2009. "Macro Modelling with Many Models," National Institute of Economic and Social Research (NIESR) Discussion Papers 337, National Institute of Economic and Social Research.
    32. Amendola, Alessandra & Christian, Francq, 2009. "Concepts and tools for nonlinear time series modelling," MPRA Paper 15140, University Library of Munich, Germany.
    33. Kenneth Wallis, 2011. "Combining forecasts - forty years later," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 33-41.
    34. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    35. Michael S. Smith & Shaun P. Vahey, 2016. "Asymmetric Forecast Densities for U.S. Macroeconomic Variables from a Gaussian Copula Model of Cross-Sectional and Serial Dependence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 416-434, July.
    36. Andrzej Kociecki & Marcin Kolasa & Michal Rubaszek, 2011. "Predictivistic Bayesian Forecasting System," NBP Working Papers 87, Narodowy Bank Polski.
    37. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
    38. Fabian Krüger & Ingmar Nolte, 2011. "Disagreement, Uncertainty and the True Predictive Density," Working Paper Series of the Department of Economics, University of Konstanz 2011-43, Department of Economics, University of Konstanz.
    39. Wolden Bache, Ida & Sofie Jore, Anne & Mitchell, James & Vahey, Shaun P., 2011. "Combining VAR and DSGE forecast densities," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1659-1670, October.
    40. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    41. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series) 1715, Federal Reserve Bank of Cleveland.
    42. Garratt, Anthony & Mise, Emi, 2014. "Forecasting exchange rates using panel model and model averaging," Economic Modelling, Elsevier, vol. 37(C), pages 32-40.
    43. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    44. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
    45. 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).
    46. Maciejowska, Katarzyna & Nowotarski, Jakub & Weron, Rafał, 2016. "Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging," International Journal of Forecasting, Elsevier, vol. 32(3), pages 957-965.
    47. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2015. "EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area," CEIS Research Paper 340, Tor Vergata University, CEIS, revised 10 Apr 2015.
    48. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2011. "Inflation uncertainty revisited: A proposal for robust measurement," ifo Working Paper Series 111, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    49. Reason Lesego Machete, 2011. "Early Warning with Calibrated and Sharper Probabilistic Forecasts," Papers 1112.6390, arXiv.org, revised Jan 2012.
    50. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    51. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    52. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    53. Jeremy Smith & Kenneth F. Wallis, 2009. "A Simple Explanation of the Forecast Combination Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 331-355, June.
    54. Anne Sofie Jore & James Mitchell & Shaun Vahey, 2008. "Combining Forecast Densities from VARs with Uncertain Instabilities," Reserve Bank of New Zealand Discussion Paper Series DP2008/18, Reserve Bank of New Zealand.
    55. Fabio Busetti, 2017. "Quantile Aggregation of Density Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 495-512, August.
    56. Christian Kascha & Francesco Ravazzolo, 2008. "Combining inflation density forecasts," Working Paper 2008/22, Norges Bank.
    57. Clements, Michael P, 2012. "Subjective and Ex Post Forecast Uncertainty : US Inflation and Output Growth," The Warwick Economics Research Paper Series (TWERPS) 995, University of Warwick, Department of Economics.
    58. Deniz Igan & Thomas Lambert & Prachi Mishra & Eden Zhang, 2024. "The Politics of the Paycheck Protection Program," Working Papers 133, Ashoka University, Department of Economics.
    59. Garratt, Anthony & Mitchell, James & Vahey, Shaun P., 2014. "Measuring output gap nowcast uncertainty," International Journal of Forecasting, Elsevier, vol. 30(2), pages 268-279.
    60. Timo Henckel & Shaun Vahey & Liz Wakerly, 2011. "Probabilistic interest rate setting with a shadow board: A description of the pilot project," CAMA Working Papers 2011-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    61. Li, Gang & Wu, Doris Chenguang & Zhou, Menglin & Liu, Anyu, 2019. "The combination of interval forecasts in tourism," Annals of Tourism Research, Elsevier, vol. 75(C), pages 363-378.
    62. Ohnsorge,Franziska Lieselotte & Stocker,Marc & Some,Modeste Y., 2016. "Quantifying uncertainties in global growth forecasts," Policy Research Working Paper Series 7770, The World Bank.
    63. Lee, Seohyun, 2017. "Three essays on uncertainty: real and financial effects of uncertainty shocks," MPRA Paper 83617, University Library of Munich, Germany.
    64. Anthony Garratt & James Mitchell & Shaun P. Vahey & Elizabeth C. Wakerly, 2009. "Real-time Inflation Forecast Densities from Ensemble Phillips Curves," Birkbeck Working Papers in Economics and Finance 0910, Birkbeck, Department of Economics, Mathematics & Statistics.
    65. Roberto Casarin & Giulia Mantoan & Francesco Ravazzolo, 2016. "Bayesian Calibration of Generalized Pools of Predictive Distributions," Econometrics, MDPI, vol. 4(1), pages 1-24, March.
    66. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    67. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    68. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    69. Francesco Ravazzolo & Shaun P Vahey, 2010. "Measuring Core Inflation in Australia with Disaggregate Ensembles," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    70. Tao Hong & Katarzyna Maciejowska & Jakub Nowotarski & Rafal Weron, 2014. "Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts," HSC Research Reports HSC/14/10, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    71. Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
    72. Robert W. Rich & Joseph Tracy, 2006. "The relationship between expected inflation, disagreement, and uncertainty: evidence from matched point and density forecasts," Staff Reports 253, Federal Reserve Bank of New York.
    73. P. Schanbacher, 2014. "Measuring and adjusting for overconfidence," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 423-452, October.
    74. Kocięcki, Andrzej & Kolasa, Marcin & Rubaszek, Michał, 2012. "A Bayesian method of combining judgmental and model-based density forecasts," Economic Modelling, Elsevier, vol. 29(4), pages 1349-1355.
    75. Jakub Nowotarski & Rafal Weron, 2013. "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," HSC Research Reports HSC/13/12, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    76. Fernandes, Cecilia Melo, 2021. "ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty," Working Paper Series 2582, European Central Bank.

  11. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.

    Cited by:

    1. Andrew Mountford, 2005. "Leaning into the Wind: A Structural VAR Investigation of UK Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 597-621, October.
    2. Jacobs, Jan P.A.M. & Wallis, Kenneth F., 2010. "Cointegration, long-run structural modelling and weak exogeneity: Two models of the UK economy," Journal of Econometrics, Elsevier, vol. 158(1), pages 108-116, September.
    3. David Fielding & Anja Shortland, 2010. "What Explains Changes in the Level of Abuse Against Civilians during the Peruvian Civil War?," Working Papers 1003, University of Otago, Department of Economics, revised May 2010.
    4. Tafirenyika Sunde & Olusegun A. Akanbi, 2016. "Sources of unemployment in Namibia: an application of the structural VAR approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 125-143.
    5. Mehmood, Sultan, 2013. "Terrorism and the macroeconomy: Evidence from Pakistan," MPRA Paper 44546, University Library of Munich, Germany.
    6. Wallis, Kenneth F., 2008. "Macroeconomic modelling in central banks in Latin America," Documentos de Proyectos 3627, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    7. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
    8. Pool, Sebastiaan & de Haan, Leo & Jacobs, Jan P.A.M., 2015. "Loan loss provisioning, bank credit and the real economy," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 124-136.
    9. Hyeon-Seung Huh, 2013. "A Monte Carlo test for the identifying assumptions of the Blanchard and Quah (1989) model," Applied Economics Letters, Taylor & Francis Journals, vol. 20(6), pages 601-605, April.

  12. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Decompositions of Pearson's chi-squared test," Journal of Econometrics, Elsevier, vol. 123(1), pages 189-193, November.

    Cited by:

    1. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Sensitivity of the chi-squared goodness-of-fit test to the partitioning of data," Economic Research Papers 269588, University of Warwick - Department of Economics.

  13. Kenneth F. Wallis, 2004. "An Assessment of Bank of England and National Institute Inflation Forecast Uncertainties," National Institute Economic Review, National Institute of Economic and Social Research, vol. 189(1), pages 64-71, July.

    Cited by:

    1. Lundholm, Michael, 2010. "Sveriges Riksbank's Inflation Interval Forecasts 1999-2005," Research Papers in Economics 2010:11, Stockholm University, Department of Economics.
    2. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    3. Wojciech CHAREMZA & Carlos DÍAZ & Svetlana MAKAROVA, 2019. "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-18, March.
    4. Carlos Díaz, 2018. "Extracting information shocks from the Bank of England inflation density forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(3), pages 316-326, April.
    5. Barbara Rossi, 2021. "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1135-1190, December.
    6. Jacob T. Jones & Tara M. Sinclair & Herman O. Stekler, 2018. "A Textual Analysis of the Bank of England Growth Forecasts," Working Papers 2018-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised May 2019.
    7. Maximiano Pinheiro & Paulo Esteves, 2012. "On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information," Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
    8. Knüppel, Malte & Schultefrankenfeld, Guido, 2019. "Assessing the uncertainty in central banks’ inflation outlooks," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
    9. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Schultefrankenfeld, Guido, 2010. "Forecast uncertainty and the Bank of England interest rate decisions," Discussion Paper Series 1: Economic Studies 2010,27, Deutsche Bundesbank.
    11. Casillas-Olvera, Gabriel & Bessler, David A., 2006. "Probability forecasting and central bank accountability," Journal of Policy Modeling, Elsevier, vol. 28(2), pages 223-234, February.
    12. Hua, Zhongsheng & Zhang, Bin, 2008. "Improving density forecast by modeling asymmetric features: An application to S&P500 returns," European Journal of Operational Research, Elsevier, vol. 185(2), pages 716-725, March.
    13. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Discussion Paper 2012-072, Tilburg University, Center for Economic Research.
    14. Malte Knüppel & Guido Schultefrankenfeld, 2017. "Interest rate assumptions and predictive accuracy of central bank forecasts," Empirical Economics, Springer, vol. 53(1), pages 195-215, August.
    15. Doaa Akl Ahmed, 2011. "Modelling the Density of Inflation Using Autoregressive Conditional Heteroscedasticity, Skewness, and Kurtosis Models," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    16. Kevin Dowd, 2004. "Too Good to be True? The (In)credibility of the UK Inflation Fan Charts," Occasional Papers 11, Industrial Economics Division, revised 11 Jan 2004.
    17. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    18. Wojciech Charemza & Carlos Diaz Vela & Svetlana Makarova, 2013. "Too many skew normal distributions? The practitioner’s perspective," Discussion Papers in Economics 13/07, Division of Economics, School of Business, University of Leicester.
    19. Kevin Dowd, 2007. "Validating multiple-period density-forecasting models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 251-270.
    20. Colin Ellis, 2017. "Scenario-based stress tests: are they painful enough?," Contemporary Economics, Vizja University, vol. 11(2), June.
    21. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    22. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
    23. Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
    24. Doaa Akl Ahmed & Mamdouh M. Abdelsalam, 2015. "Modelling the Density of Egyptian Quarterly CPI Inflation," Working Papers 936, Economic Research Forum, revised Aug 2015.
    25. Dowd, Kevin, 2007. "Too good to be true? The (In)credibility of the UK inflation fan charts," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 91-102, March.
    26. Rodríguez, Gabriel, 2017. "Modeling Latin-American stock and Forex markets volatility: Empirical application of a model with random level shifts and genuine long memory," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 393-420.
    27. Wojciech Charemza & Carlos Diaz Vela & Svetlana Makarova, 2013. "Inflation fan charts, monetary policy and skew normal distribution," Discussion Papers in Economics 13/06, Division of Economics, School of Business, University of Leicester.
    28. Jackson, Emerson Abraham & Tamuke, Edmund, 2018. "Probability Forecast Using Fan Chart Analysis: A case of the Sierra Leone Economy," MPRA Paper 88853, University Library of Munich, Germany, revised 04 Sep 2018.
    29. Knüppel, Malte, 2011. "Evaluating the calibration of multi-step-ahead density forecasts using raw moments," Discussion Paper Series 1: Economic Studies 2011,32, Deutsche Bundesbank.
    30. Kevin Dowd, 2004. "The Swedish Inflation Fan Charts: An Evaluation of the Riksbank?s Inflation Density Forecasts," Occasional Papers 10, Industrial Economics Division, revised 11 Jan 2004.
    31. Jorge Fornero & Andrés Gatty, 2020. "Back testing fan charts of activity and inflation: the Chilean case," Working Papers Central Bank of Chile 881, Central Bank of Chile.
    32. Seohyun Lee, 2025. "Measuring Interdependence of Inflation Uncertainty," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2707-2741, May.
    33. Cronin, David & Dowd, Kevin, 2011. "Fiscal fan charts - A tool for assessing member states’ (likely?) compliance with EU fiscal rules," Research Technical Papers 15/RT/11, Central Bank of Ireland.
    34. Knüppel, Malte & Schultefrankenfeld, Guido, 2008. "How informative are macroeconomic risk forecasts? An examination of the Bank of England's inflation forecasts," Discussion Paper Series 1: Economic Studies 2008,14, Deutsche Bundesbank.
    35. Goodhart, C. A. E. & Pradhan, Manoj, 2023. "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics 118680, London School of Economics and Political Science, LSE Library.
    36. Lee, Seohyun, 2017. "Three essays on uncertainty: real and financial effects of uncertainty shocks," MPRA Paper 83617, University Library of Munich, Germany.
    37. Knüppel, Malte, 2014. "Forecast-error-based estimation of forecast uncertainty when the horizon is increased," Discussion Papers 40/2014, Deutsche Bundesbank.
    38. 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.
    39. Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
    40. Fabian Krüger, 2017. "Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms," Empirical Economics, Springer, vol. 53(1), pages 235-246, August.
    41. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.
    42. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.

  14. Wallis, Kenneth F., 2004. "Comparing empirical models of the euro economy," Economic Modelling, Elsevier, vol. 21(5), pages 735-758, September.
    See citations under working paper version above.
  15. Wallis, Kenneth F., 2003. "Chi-squared tests of interval and density forecasts, and the Bank of England's fan charts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 165-175.
    See citations under working paper version above.
  16. Mitchell, Peter R. & Sault, Joanne E. & Wallis, Kenneth F., 2000. "Fiscal policy rules in macroeconomic models: principles and practice," Economic Modelling, Elsevier, vol. 17(2), pages 171-193, April.

    Cited by:

    1. Hinterlang, Natascha & Moyen, Stephane & Röhe, Oke & Stähler, Nikolai, 2023. "Gauging the effects of the German COVID-19 fiscal stimulus package," European Economic Review, Elsevier, vol. 154(C).
    2. Hinterlang, Natascha & Martin, Anika & Röhe, Oke & Stähler, Nikolai & Strobel, Johannes, 2022. "Using energy and emissions taxation to finance labor tax reductions in a multi-sector economy," Energy Economics, Elsevier, vol. 115(C).
    3. Dury, K. & Pina, A.M., 2000. "Fiscal Policy in EMU: Simulating the Operation of the Stability Pact," Economics Working Papers eco2000/3, European University Institute.
    4. Philippe Michel & Leopold Von Thadden & Jean‐Pierre Vidal, 2010. "Debt Stabilizing Fiscal Rules," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 12(5), pages 923-941, October.
    5. Jérôme Creel & Fabrice Capoen & Pascal Cussy & Hélène Lenoble-Liaud, 2003. "How to Manage Financial Shocks: Intra-European vs. International Monetary Coordination," Post-Print hal-03416786, HAL.
    6. Schön, Matthias & Stähler, Nikolai, 2020. "When old meets young? Germany's population ageing and the current account," Economic Modelling, Elsevier, vol. 89(C), pages 315-336.
    7. Hiebert, Paul & Pérez, Javier J., 2002. "Identifying endogenous fiscal policy rules for macroeconomic models," Working Paper Series 156, European Central Bank.
    8. Bohn, Frank, 2006. "Maastricht Criteria versus Stability Pact," Journal of Policy Modeling, Elsevier, vol. 28(3), pages 247-276, April.
    9. Pappa, Evi & Vassilatos, Vanghelis, 2007. "The unbearable tightness of being in a monetary union: Fiscal restrictions and regional stability," European Economic Review, Elsevier, vol. 51(6), pages 1492-1513, August.
    10. Johnson, Richard, 2003. "A comparison of the constant-tax rule and a standard fiscal reaction rule in the IMF's MULTIMOD model," Journal of Policy Modeling, Elsevier, vol. 25(6-7), pages 639-653, September.
    11. Carnot, Nicolas, 2003. "SMILE: a small macro-econometric model of the French economy," Economic Modelling, Elsevier, vol. 20(1), pages 69-92, January.
    12. Wallis, Kenneth F., 2004. "Comparing empirical models of the euro economy," Economic Modelling, Elsevier, vol. 21(5), pages 735-758, September.
    13. Hinterlang, Natascha & Martin, Anika & Röhe, Oke & Stähler, Nikolai & Strobel, Johannes, 2021. "Using energy and emissions taxation to finance labor tax reductions in a multi-sector economy: An assessment with EMuSe," Discussion Papers 50/2021, Deutsche Bundesbank.
    14. A J Hughes Hallett & Peter McAdam, 2001. "Fiscal Consolidation and the Probability Distribution of Deficits: A Stochastic Analysis of the Stability Pact," Studies in Economics 0101, School of Economics, University of Kent.
    15. Margarida Duarte & Alexander L. Wolman, 2003. "Fiscal policy and regional inflation in a currency union," Working Paper 03-11, Federal Reserve Bank of Richmond.
    16. Hinterlang, Natascha & Jäger, Marius & Stähler, Nikolai & Strobel, Johannes, 2024. "On curbing the rise in energy prices: An examination of different mitigation approaches," Discussion Papers 09/2024, Deutsche Bundesbank.
    17. Barabas, György & Gebhardt, Heinz & Münch, Heinz Josef & Schmidt, Christoph M. & Schmidt, Torsten & Breitung, Jörg, 2005. "Methoden mittelfristiger gesamtwirtschaftlicher Projektionen: Dienstleistungsvorhaben im Auftrag des Bundesministeriums für Wirtschaft und Arbeit, Projektnummer 02/05. Vorläufiger Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 69948.
    18. Duarte, Margarida & Wolman, Alexander L., 2002. "Regional inflation in a currency union: fiscal policy vs. fundamentals," Working Paper Series 180, European Central Bank.
    19. Florence Huart & Bas Van Aarle & Harry Garretsen, 2006. "Chocs et règles de politique économique en UEM," Economie & Prévision, La Documentation Française, vol. 0(2), pages 43-63.
    20. Ruppert, Kilian & Schön, Matthias & Stähler, Nikolai, 2021. "Consumption taxation to finance pension payments," Discussion Papers 47/2021, Deutsche Bundesbank.
    21. Ruppert, Kilian & Stähler, Nikolai, 2022. "What drives the German current account? Household savings, capital investments and public policies," Economic Modelling, Elsevier, vol. 108(C).
    22. Ojeda-Joya, Jair N. & Parra-Polanía, Julián A. & Vargas, Carmiña O., 2016. "Fiscal rules as a response to commodity shocks: A welfare analysis of the Colombian scenario," Economic Modelling, Elsevier, vol. 52(PB), pages 859-866.
    23. Ernst, Anne & Hinterlang, Natascha & Mahle, Alexander & Stähler, Nikolai, 2023. "Carbon pricing, border adjustment and climate clubs: Options for international cooperation," Journal of International Economics, Elsevier, vol. 144(C).
    24. Bas Van Aarle & Harry Garretsen & Florence Huart, 2004. "Monetary and Fiscal Policy Rules in the EMU," German Economic Review, Verein für Socialpolitik, vol. 5(4), pages 407-434, November.
    25. Zbynek Stork, 2016. "Term Structure of Interest Rates: Macro-Finance Approach," EcoMod2016 9566, EcoMod.
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    27. Silvia Sgherri, 2002. "The fiscal dimension of a common monetary policy: results with a non-Ricardian global model," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 449-479.
    28. Ruppert, Kilian & Stähler, Nikolai, 2020. "Household savings, capital investments and public policies: What drives the German current account?," Discussion Papers 41/2020, Deutsche Bundesbank.
    29. Giovanni Ganelli, 2002. "Fiscal Policy Rules in an Overlapping Generations Model with Endogenous Labour Supply," Trinity Economics Papers 200215, Trinity College Dublin, Department of Economics.
    30. Kinnunen, Helvi, 2008. "Government funds and demographic transition: alleviating ageing costs in a small open economy," Bank of Finland Research Discussion Papers 21/2008, Bank of Finland.
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    32. Alpo Willman & Ángel Estrada, 2002. "The Spanish block of the ESCB-Multi-Country model," Working Papers 0212, Banco de España.
    33. Javier Andrés & Rafael Doménech, 2006. "Fiscal Rules and Macroeconomic Stability," Hacienda Pública Española / Review of Public Economics, IEF, vol. 176(1), pages 9-41, April.
    34. von Thadden, Leopold & Lipińska, Anna, 2009. "Monetary and fiscal policy aspects of indirect tax changes in a monetary union," Working Paper Series 1097, European Central Bank.
    35. Ernst, Anne & Hinterlang, Natascha & Mahle, Alexander & Stähler, Nikolai, 2022. "Carbon pricing, border adjustment and climate clubs: An assessment with EMuSe," Discussion Papers 25/2022, Deutsche Bundesbank.
    36. Natascha Hinterlang, 2023. "Effects of Carbon Pricing in Germany and Spain: An Assessment with EMuSe," Working Papers 2328, Banco de España.
    37. Hiebert, Paul & Pérez, Javier J. & Rostagno, Massimo, 2009. "The trade-off between public debt reduction and automatic stabilisation," Economic Modelling, Elsevier, vol. 26(2), pages 464-472, March.
    38. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.

  17. Keith B. Church & Joanne E. Sault & Silvia Sgherri & Kenneth F. Wallis, 2000. "Comparative Properties of Models of the UK Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 171(1), pages 106-122, January.

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    1. K.F. Wallis, 1992. "On Macroeconomic Policy and Macroeconomic Modeling," Economics Discussion / Working Papers 92-04, The University of Western Australia, Department of Economics.
    2. Pain, Nigel & Young, Garry, 2004. "The macroeconomic impact of UK withdrawal from the EU," Economic Modelling, Elsevier, vol. 21(3), pages 387-408, May.
    3. Roberto Perotti, 2005. "Estimating the effects of fiscal policy in OECD countries," Proceedings, Federal Reserve Bank of San Francisco.
    4. Patrizio Lecca & Peter G. McGregor & J. Kim Swales & Ya Ping Yin, 2014. "Balanced Budget Multipliers For Small Open Regions Within A Federal System: Evidence From The Scottish Variable Rate Of Income Tax," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 402-421, June.
    5. Philip Arestis & Kevin McCauley & Malcolm Sawyer, 2000. "An Alternative Stability Pact for the European Union," Economics Working Paper Archive wp_296, Levy Economics Institute.
    6. Hiebert, Paul & Pérez, Javier J., 2002. "Identifying endogenous fiscal policy rules for macroeconomic models," Working Paper Series 156, European Central Bank.
    7. Darby, Julia & Ireland, Jonathan & Leith, Campbell & Wren-Lewis, Simon, 1998. "COMPACT: a rational expectations, intertemporal model of the United Kingdom economy," Economic Modelling, Elsevier, vol. 16(1), pages 1-52, January.
    8. C. A. de Kam & J. de Haan & C. Giles & A. Manresa & E. Berenguer & S. Calonge & J. Merz, 1996. "Who pays the taxes?," FFB-Discussionpaper 18, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
      • de Kam, C. A. & de Haan, J. & Giles, C. & Manresa, A. & Berenguer, E. & Calonge, S., 1996. "Who pays the taxes?," MPRA Paper 7146, University Library of Munich, Germany.
    9. Clive W.J. Granger & Yongil Jeon, 2003. "Interactions between large macro models and time series analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 1-10.
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    11. Ottavio Ricchi, 2013. "Analyzing MeMo-It supply side properties," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 57-64.
    12. Bohdan Klos & Ryszard Kokoszczynski & Tomasz Lyziak & Jan Przystupa & Ewa Wrobel, 2005. "Structural Econometric Models in Forecasting Inflation at the National Bank of Poland," NBP Working Papers 31, Narodowy Bank Polski.
    13. Wallis, Kenneth F., 2004. "Comparing empirical models of the euro economy," Economic Modelling, Elsevier, vol. 21(5), pages 735-758, September.
    14. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    15. Lecca, Patrizio & McGregor, Peter G. & Swales, J. Kim & Yin, Ya Ping, 2010. "Inverted Haavelmo Effects in a General Equilibrium Analysis of the Impact of Implementing the Scottish Variable Rate of Income Tax," SIRE Discussion Papers 2010-47, Scottish Institute for Research in Economics (SIRE).
    16. Kenneth F. Wallis, 1993. "On Macroeconomic Policy and Macroeconometric Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 113-130, June.
    17. den Butter, Frank A. G. & Morgan, Mary S., 1998. "What makes the models-policy interaction successful?," Economic Modelling, Elsevier, vol. 15(3), pages 443-475, July.
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    20. Ásgeir Daníelsson & Lúdvik Elíasson & Magnús F. Gudmundsson & Svava J. Haraldsdóttir & Lilja S. Kro & Thórarinn G. Pétursson & Thorsteinn S. Sveinsson, 2019. "QMM A Quarterly Macroeconomic Model of the Icelandic Economy Version 4.0," Economics wp82, Department of Economics, Central bank of Iceland.
    21. Chamberlin, G. & Henry, S. G. B. & Satchi, M., 2003. "A model of the G-3," Economic Modelling, Elsevier, vol. 20(6), pages 1083-1095, December.
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    23. Simon Wren-Lewis, 2016. "Unravelling the New Classical Counter Revolution," Review of Keynesian Economics, Edward Elgar Publishing, vol. 4(1), pages 20-35, January.
    24. Ágeir Daníelsson & Lúdvík Elíasson & Magnús F. Gudmundsson & Björn A. Hauksson & Ragnhildur Jónsdóttir & Thorvardur Tjörvi Ólafsson & Thórarinn G. Pétursson, 2006. "QMM A Quarterly Macroeconomic Model of the Icelandic Economy," Economics wp32, Department of Economics, Central bank of Iceland.
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    26. Granger, Clive W. J. & Jeon, Yongil, 2004. "Thick modeling," Economic Modelling, Elsevier, vol. 21(2), pages 323-343, March.
    27. Perotti, Roberto, 2005. "Estimating the Effects of Fiscal Policy in OECD Countries," CEPR Discussion Papers 4842, C.E.P.R. Discussion Papers.
    28. Church, Keith B. & Mitchell, Peter R. & Smith, Peter N. & Wallis, Kenneth F., 1996. "Targeting inflation: Comparative control exercises on models of the UK economy," Economic Modelling, Elsevier, vol. 13(2), pages 169-184, April.
    29. Mitchell, Peter R. & Sault, Joanne E. & Wallis, Kenneth F., 2000. "Fiscal policy rules in macroeconomic models: principles and practice," Economic Modelling, Elsevier, vol. 17(2), pages 171-193, April.
    30. McAdam, Peter & Morgan, Julian, 2001. "The monetary transmission mechanism at the euro-area level: issues and results using structural macroeconomic models," Working Paper Series 93, European Central Bank.
    31. Keshab Raj Bhattarai & Jonathan Haughton & David Tuerck, 2015. "Fiscal Policy, Growth and Income Distribution in the UK and the US," EcoMod2015 8607, EcoMod.

  18. Kenneth F. Wallis, 1999. "Asymmetric density forecasts of inflation and the Bank of England's fan chart," National Institute Economic Review, National Institute of Economic and Social Research, vol. 167(1), pages 106-112, January.

    Cited by:

    1. G. Boero & J. Smith & KF. Wallis, 2002. "The properties of some goodness-of-fit tests," Working Paper CRENoS 200209, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. 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.
    3. 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.
    4. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    5. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Sensitivity of the chi-squared goodness-of-fit test to the partitioning of data," Economic Research Papers 269588, University of Warwick - Department of Economics.
    6. Maximiano Pinheiro & Paulo Esteves, 2012. "On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information," Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
    7. Yim, Ha-Neul & Riddell, Jordan R. & Wheeler, Andrew P., 2020. "Is the recent increase in national homicide abnormal? Testing the application of fan charts in monitoring national homicide trends over time," Journal of Criminal Justice, Elsevier, vol. 66(C).
    8. Kenneth W Clements & Yihui Lan & Xueyan Zhao, 2006. "The Demand for Vice: Inter-Commodity Interactions with Uncertainty," Economics Discussion / Working Papers 06-30, The University of Western Australia, Department of Economics.
    9. Knüppel, Malte & Schultefrankenfeld, Guido, 2019. "Assessing the uncertainty in central banks’ inflation outlooks," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
    10. James Mitchell & Martin Weale, 2021. "Censored Density Forecasts: Production and Evaluation," Working Papers 21-12R, Federal Reserve Bank of Cleveland, revised 16 Aug 2022.
    11. Kenneth W. Clements & H. Y. Izan & Yihui Lan, 2009. "A Stochastic Measure of International Competitiveness," International Review of Finance, International Review of Finance Ltd., vol. 9(1‐2), pages 51-81, March.
    12. Kenneth W. Clements & Xueyan Zhao, 2005. "Economic Aspects of Marijuana," Economics Discussion / Working Papers 05-28, The University of Western Australia, Department of Economics.
    13. Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012. "Regression towards the mode," Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
    14. Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020. "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers 2020-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    15. Hua, Zhongsheng & Zhang, Bin, 2008. "Improving density forecast by modeling asymmetric features: An application to S&P500 returns," European Journal of Operational Research, Elsevier, vol. 185(2), pages 716-725, March.
    16. Timo Terasvirta, 2004. "A Time Series Model for an Exchange Rate in a Target Zone with Applications," Econometric Society 2004 Australasian Meetings 340, Econometric Society.
    17. Wallis, Kenneth F., 2002. "Chi-squared tests of interval and density forecasts, and the Bank of England's fan charts," Royal Economic Society Annual Conference 2002 181, Royal Economic Society.
    18. Neil R. Ericsson, 2000. "Predictable uncertainty in economic forecasting," International Finance Discussion Papers 695, Board of Governors of the Federal Reserve System (U.S.).
    19. Lars E. O. Svensson, 2001. "Price Stability as a Target for Monetary Policy: Defining and Maintaining Price Stability," Palgrave Macmillan Books, in: Deutsche Bundesbank (ed.), The Monetary Transmission Process, chapter 2, pages 60-111, Palgrave Macmillan.
    20. Lars E. O. Svensson, 2003. "Monetary Policy and Real Stabilization," NBER Working Papers 9486, National Bureau of Economic Research, Inc.
    21. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
    22. Kenneth W Clements & Yihui Lan, 2006. "A New Approach to Forecasting Exchange Rates," Economics Discussion / Working Papers 06-29, The University of Western Australia, Department of Economics.
    23. Berlemann, Michael, 2001. "Forecasting inflation via electronic markets: Results from a prototype market," Dresden Discussion Paper Series in Economics 06/01, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    24. Neil R. Ericsson, 2001. "Forecast uncertainty in economic modeling," International Finance Discussion Papers 697, Board of Governors of the Federal Reserve System (U.S.).
    25. Amendola, Alessandra & Christian, Francq, 2009. "Concepts and tools for nonlinear time series modelling," MPRA Paper 15140, University Library of Munich, Germany.
    26. Rob J. Hyndman & Yeasmin Khandakar, 2007. "Automatic time series forecasting: the forecast package for R," Monash Econometrics and Business Statistics Working Papers 6/07, Monash University, Department of Econometrics and Business Statistics.
    27. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    28. 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.
    29. Marco Vega, 2004. "Policy Makers Priors and Inflation Density Forecasts," Econometrics 0403005, University Library of Munich, Germany.
    30. John W. Galbraith & Simon van Norden, 2009. "Calibration and Resolution Diagnostics for Bank of England Density Forecasts," CIRANO Working Papers 2009s-36, CIRANO.
    31. Dong Jin Lee, 2009. "Testing Parameter Stability in Quantile Models: An Application to the U.S. Inflation Process," Working papers 2009-26, University of Connecticut, Department of Economics.
    32. Harvey, David I. & Newbold, Paul, 2003. "The non-normality of some macroeconomic forecast errors," International Journal of Forecasting, Elsevier, vol. 19(4), pages 635-653.
    33. Alex Nikolsko‐Rzhevskyy, 2011. "Monetary Policy Estimation in Real Time: Forward‐Looking Taylor Rules without Forward‐Looking Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 871-897, August.
    34. Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
    35. Lars E.O. Svensson, 2003. "Optimal Policy with Low-Probability Extreme Events," NBER Working Papers 10196, National Bureau of Economic Research, Inc.
    36. Dowd, Kevin, 2007. "Too good to be true? The (In)credibility of the UK inflation fan charts," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 91-102, March.
    37. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
    38. André Binette & Dmitri Tchebotarev, 2017. "Evaluating Real GDP Growth Forecasts in the Bank of Canada Monetary Policy Report," Staff Analytical Notes 17-21, Bank of Canada.
    39. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    40. Knüppel, Malte & Schultefrankenfeld, Guido, 2008. "How informative are macroeconomic risk forecasts? An examination of the Bank of England's inflation forecasts," Discussion Paper Series 1: Economic Studies 2008,14, Deutsche Bundesbank.
    41. Teräsvirta, Timo, 2005. "Forecasting economic variables with nonlinear models," SSE/EFI Working Paper Series in Economics and Finance 598, Stockholm School of Economics, revised 29 Dec 2005.
    42. Goodhart, C. A. E. & Pradhan, Manoj, 2023. "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics 118680, London School of Economics and Political Science, LSE Library.
    43. Romanus, Eduardo E. & Silva, Eugênio & Goldschmidt, Ronaldo R., 2024. "Empirical probabilistic forecasting: An approach solely based on deterministic explanatory variables for the selection of past forecast errors," International Journal of Forecasting, Elsevier, vol. 40(1), pages 184-201.
    44. Charles A. E. Goodhart & Manoj Pradhan, 2025. "A Snapshot of Central Bank (Two‐Year) Forecasting: A Mixed Picture," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 1097-1131, April.
    45. Antoni Espasa & Eva Senra, 2017. "Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis," Econometrics, MDPI, vol. 5(4), pages 1-28, October.
    46. Yim, Ha-Neul & Riddell, Jordan R. & Wheeler, Andrew Palmer, 2019. "Is the recent increase in national homicide abnormal? Testing the application of fan charts in monitoring national homicide trends over time," SocArXiv 7g32n, Center for Open Science.
    47. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.
    48. Ali Al‐Nowaihi & Livio Stracca, 2003. "Behavioural Central Bank Loss Functions, Skewed Risks and Certainty Equivalence," Manchester School, University of Manchester, vol. 71(s1), pages 21-38, September.
    49. Anthony Garratt & Kevin Lee, 2006. "Investing Under Model Uncertainty: Decision Based Evaluation of Exchange Rate and Interest Rate Forecasts in the US, UK and Japan," Birkbeck Working Papers in Economics and Finance 0616, Birkbeck, Department of Economics, Mathematics & Statistics.
    50. Alonso Fernández, Andrés Modesto & Peña, Daniel & Rodríguez, Julio, 2008. "A methodology for population projections: an application to Spain," DES - Working Papers. Statistics and Econometrics. WS ws084512, Universidad Carlos III de Madrid. Departamento de Estadística.

  19. Mitchell, Peter R. & Sault, Joanne E. & Smith, Peter N. & Wallis, Kenneth F., 1998. "Comparing global economic models," Economic Modelling, Elsevier, vol. 15(1), pages 1-48, January.

    Cited by:

    1. Peeters, Marga, 1996. "The public-private savings mirror and causality relations among private savings, investment and (twin) deficits: A full modelling approach," MPRA Paper 29630, University Library of Munich, Germany.
    2. Granger, Clive W.J. & Jeon, Yongil, 2007. "Evaluation of global models," Economic Modelling, Elsevier, vol. 24(6), pages 980-989, November.
    3. Agnès Bénassy-Quéré & Benoît Mojon & Armand-Denis Schor, 1998. "The International Role of the Euro," Working Papers 1998-03, CEPII research center.
    4. Hughes Hallett, Andrew & Richter, Christian, 2004. "Estimating an equilibrium exchange rate for the dollar and other key currencies," Economic Modelling, Elsevier, vol. 21(6), pages 1117-1144, December.
    5. Bohn, Frank, 2006. "Maastricht Criteria versus Stability Pact," Journal of Policy Modeling, Elsevier, vol. 28(3), pages 247-276, April.
    6. Egan, Paul & Bergin, Adele, 2023. "The impact of government spending on Ireland’s housing and residential market – Targeted vs economy-wide stimulus," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 552-569.
    7. Eika, Torbjorn & Magnussen, Knut A., 2000. "Did Norway gain from the 1979-1985 oil price shock?," Economic Modelling, Elsevier, vol. 17(1), pages 107-137, January.
    8. Bohdan Klos & Ryszard Kokoszczynski & Tomasz Lyziak & Jan Przystupa & Ewa Wrobel, 2005. "Structural Econometric Models in Forecasting Inflation at the National Bank of Poland," NBP Working Papers 31, Narodowy Bank Polski.
    9. Peter McAdam, 1998. "A Pedagogical Note on the Long Run of Macro Economic Models," Studies in Economics 9807, School of Economics, University of Kent.
    10. Wallis, Kenneth F., 2004. "Comparing empirical models of the euro economy," Economic Modelling, Elsevier, vol. 21(5), pages 735-758, September.
    11. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    12. A J Hughes Hallett & Peter McAdam, 2001. "Fiscal Consolidation and the Probability Distribution of Deficits: A Stochastic Analysis of the Stability Pact," Studies in Economics 0101, School of Economics, University of Kent.
    13. Hughes Hallett, Andrew & Piscitelli, Laura, 1999. "EMU in Reality: The Effect of a Common Monetary Policy on Economies with Different Transmission Mechanisms," CEPR Discussion Papers 2068, C.E.P.R. Discussion Papers.
    14. Douven, Rudy & Peeters, Marga, 1998. "GDP-spillovers in multi-country models," Economic Modelling, Elsevier, vol. 15(2), pages 163-195, April.
    15. Peter van Els & Alberto Locarno & Julian Morgan & Jean-Pierre Villetelle, 2001. "Monetary policy transmission in the euro area: what do aggregate and national structural models tell us?," Temi di discussione (Economic working papers) 433, Bank of Italy, Economic Research and International Relations Area.
    16. Bergin, Adele & Conroy, Niall & Garcia Rodriguez, Abian & Holland, Dawn & McInerney, Niall & Morgenroth, Edgar & Smith, Donal, 2017. "COSMO: A new COre Structural MOdel for Ireland," Papers WP553, Economic and Social Research Institute (ESRI).
    17. Barbara Annicchiarico & Fabio Di Dio & Francesco Felici & Francesco Nucci, 2013. "Assessing policy reforms for Italy using ITEM and QUESTIII," CEIS Research Paper 280, Tor Vergata University, CEIS, revised 17 May 2013.
    18. Agnès Bénassy-Quéré & Benoît Mojon & Jean Pisani-Ferry, 1997. "The Euro and Exchange Rate Stability," Working Papers 1997-12, CEPII research center.
    19. Mitchell, Peter R. & Sault, Joanne E. & Wallis, Kenneth F., 2000. "Fiscal policy rules in macroeconomic models: principles and practice," Economic Modelling, Elsevier, vol. 17(2), pages 171-193, April.
    20. McAdam, Peter & Morgan, Julian, 2001. "The monetary transmission mechanism at the euro-area level: issues and results using structural macroeconomic models," Working Paper Series 93, European Central Bank.

  20. Church, Keith B. & Mitchell, Peter R. & Smith, Peter N. & Wallis, Kenneth F., 1996. "Targeting inflation: Comparative control exercises on models of the UK economy," Economic Modelling, Elsevier, vol. 13(2), pages 169-184, April.

    Cited by:

    1. Sushanta Mallick, 2006. "Policy instruments to avoid output collapse: an optimal control model for India," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 761-776.

  21. Church, Keith B & Smith, Peter N & Wallis, Kenneth F, 1994. "Econometric Evaluation of Consumers' Expenditure Equations," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 10(2), pages 71-85, Summer.

    Cited by:

    1. Byung Yeon Kim, 1997. "Soviet Household Saving Function," Economic Change and Restructuring, Springer, vol. 30(2), pages 181-203, May.
    2. Maclennan, Duncan & Muellbauer, John & Stephens, Mark, 1999. "Asymmetries in Housing and Financial Market Institutions and EMU," CEPR Discussion Papers 2062, C.E.P.R. Discussion Papers.
    3. Nathalie Girouard & Sveinbjörn Blöndal, 2001. "House Prices and Economic Activity," OECD Economics Department Working Papers 279, OECD Publishing.
    4. David Begg & Stephany Griffith-Jones, 1998. "Swinging since the 60's: Fluctuations in UK Saving and Lessons for Latin America," Research Department Publications 3032, Inter-American Development Bank, Research Department.
    5. K Alec Chrystal & Paul Mizen, 2001. "Consumption, money and lending: a joint model for the UK household sector," Bank of England working papers 134, Bank of England.
    6. Khoon Lek Goh & Richard Downing, 2002. "Modelling New Zealand Consumption Expenditure over the 1990s," Treasury Working Paper Series 02/19, New Zealand Treasury.
    7. Caporale, Guglielmo Maria & Williams, Geoffrey, 2001. "Monetary Policy and Financial Liberalization: The Case of United Kingdom Consumption," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 177-197, April.
    8. Emilio Fernandez-Corugedo & Simon Price & Andrew Blake, 2003. "The dynamics of consumers' expenditure: the UK consumption ECM redux," Bank of England working papers 204, Bank of England.
    9. Lee, Seungyoon, 2023. "House prices, homeownership, and household consumption: Evidence from household panel data in Korea," Economic Modelling, Elsevier, vol. 126(C).
    10. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 42, European Central Bank.
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    12. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.

  22. Wallis, Kenneth F & Whitley, John D, 1991. "Macro-models and Macro Policy in the 1980s," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 7(3), pages 118-127, Autumn.

    Cited by:

    1. Martin Fukac & Adrian Pagan, 2009. "Structural Macro-Econometric Modelling in a Policy Environment," NCER Working Paper Series 50, National Centre for Econometric Research.
    2. den Butter, Frank A. G. & Morgan, Mary S., 1998. "What makes the models-policy interaction successful?," Economic Modelling, Elsevier, vol. 15(3), pages 443-475, July.

  23. Fisher, Paul G. & Wallis, Kenneth F., 1990. "The historical tracking performance of UK macroeconometric models 1978-1985," Economic Modelling, Elsevier, vol. 7(2), pages 179-197, April.

    Cited by:

    1. Ruthira Naraidoo & Patrick Minford & Kent Matthews, 2006. "Vicious and Virtuous Circles - the Political Economy of Unemployment in Interwar UK and USA," Keele Economics Research Papers KERP 2006/08, Centre for Economic Research, Keele University.
    2. Douven, R.C.M.H. & Plasmans, J.E.J., 1994. "S.L.I.M., a small linear interdependent model of eight EU-member states, the USA and Japan," Discussion Paper 1994-113, Tilburg University, Center for Economic Research.
    3. Roberto Tinajero & Thomas M. Fullerton & Lawrence Waldman, 2005. "Regional econometric income forecast accuracy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 325-333.
    4. Fullerton, Jr., Thomas M. & Taylor West, Carol A., 1998. "Regional Econometric Housing Start Forecast Accuracy in Florida," The Review of Regional Studies, Southern Regional Science Association, vol. 28(3), pages 15-42, Winter.
    5. den Butter, Frank A. G. & Morgan, Mary S., 1998. "What makes the models-policy interaction successful?," Economic Modelling, Elsevier, vol. 15(3), pages 443-475, July.
    6. Hukkinen, Juhana & Virén, Matti, 1996. "Assessing the forecasting performance of a macroeconomic model," Bank of Finland Research Discussion Papers 23/1996, Bank of Finland.

  24. Wallis, Kenneth F, 1989. "Macroeconomic Forecasting: A Survey," Economic Journal, Royal Economic Society, vol. 99(394), pages 28-61, March.

    Cited by:

    1. Mark Baimbridge & Philip Whyman, 1997. "Institutional macroeconomic forecasting performance of the UK economy," Applied Economics Letters, Taylor & Francis Journals, vol. 4(6), pages 373-376.
    2. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    3. Massimiliano Marcellino, "undated". "Further Results on MSFE Encompassing," Working Papers 143, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Philip Hans Franses, 2021. "Modeling Judgment in Macroeconomic Forecasts," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 401-417, December.
    5. Sharon Kozicki & P. A. Tinsley, 2012. "Effective Use of Survey Information in Estimating the Evolution of Expected Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 145-169, February.
    6. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    7. Verbeek, Jos, 1999. "The World Bank's Unified Survey projections : how accurate are they? an ex-post evaluation of US91-US97," Policy Research Working Paper Series 2071, The World Bank.
    8. Knüppel, Malte & Schultefrankenfeld, Guido, 2011. "How informative are central bank assessments of macroeconomic risks?," Discussion Paper Series 1: Economic Studies 2011,13, Deutsche Bundesbank.
    9. Eitrheim, Oyvind & Husebo, Tore Anders & Nymoen, Ragnar, 1999. "Equilibrium-correction vs. differencing in macroeconometric forecasting," Economic Modelling, Elsevier, vol. 16(4), pages 515-544, December.
    10. Grömling, Michael, 2002. "Konjunkturprognosen: Methoden, Risiken und Treffsicherheiten," IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung, Institut der deutschen Wirtschaft (IW) / German Economic Institute, vol. 29(2), pages 18-26.
    11. Michael Groemling, 2005. "Konjunkturprognosen – Verfahren, Erfolgskontrolle und Prognosefehler," Departmental Discussion Papers 123, University of Goettingen, Department of Economics.
    12. Enrico Tanuwidjaja & Choy Keen Meng, 2005. "Central Bank Credibility and Monetary Policy : Evidence from Small Scale Macroeconomic Model of Indonesia," Macroeconomics Working Papers 22576, East Asian Bureau of Economic Research.
    13. Kitlinski, Tobias & Schmidt, Torsten, 2011. "The Forecasting Performance of an Estimated Medium Run Model," Ruhr Economic Papers 301, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Silva Lopes, Artur, 1994. "A "hipótese das expectativas racionais": teoria e realidade (uma visita guiada à literatura até 1992) [The "rational expectations hypothesis": theory and reality (a guided tour ," MPRA Paper 9699, University Library of Munich, Germany, revised 23 Jul 2008.
    15. Victor Zarnowitz, 1991. "Has Macro-Forecasting Failed?," NBER Working Papers 3867, National Bureau of Economic Research, Inc.
    16. Bank for International Settlements, 2001. "Empirical studies of structural changes and inflation," BIS Papers, Bank for International Settlements, number 03.
    17. den Butter, Frank A. G. & Morgan, Mary S., 1998. "What makes the models-policy interaction successful?," Economic Modelling, Elsevier, vol. 15(3), pages 443-475, July.
    18. Sharon Kozicki & P. A. Tinsley, 2006. "Survey-Based Estimates of the Term Structure of Expected U.S. Inflation," Staff Working Papers 06-46, Bank of Canada.
    19. Catherine Doz, 1993. "Note sur les tests de rationalité des prévisions," Économie et Prévision, Programme National Persée, vol. 108(2), pages 129-133.
    20. Catherine Doz & Pierre Malgrange, 1992. "Modèles VAR et prévisions à court terme," Économie et Prévision, Programme National Persée, vol. 106(5), pages 109-122.
    21. Jalles, João Tovar, 2017. "On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 175-189.
    22. Vasconcelos de Deus, Joseph David Barroso & de Mendonça, Helder Ferreira, 2017. "Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil," Economic Systems, Elsevier, vol. 41(3), pages 408-419.
    23. Alexandre Mathis & Andrew Brociner, 1994. "Retour vers le futur. Une analyse rétrospective des prévisions de MOSAÏQUE," Revue de l'OFCE, Programme National Persée, vol. 49(1), pages 207-228.
    24. Paulo Júlio & Pedro M. Esperança, 2012. "Evaluating the forecast quality of GDP components: An application to G7," GEE Papers 0047, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2012.
    25. Peláez, Rolando F., 2015. "Market-timing the business cycle," Review of Financial Economics, Elsevier, vol. 26(C), pages 55-64.
    26. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    27. Frank-Oliver Aldenhoff, 2007. "Are economic forecasts of the International Monetary Fund politically biased? A public choice analysis," The Review of International Organizations, Springer, vol. 2(3), pages 239-260, September.
    28. David L. Reifschneider & Peter Tulip, 2017. "Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors : The Federal Reserve's Approach," Finance and Economics Discussion Series 2017-020, Board of Governors of the Federal Reserve System (U.S.).
    29. Croushore Dean, 2010. "An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, May.
    30. Jennifer Castle & David Hendry, 2012. "Forecasting by factors, by variables, or both?," Economics Series Working Papers 600, University of Oxford, Department of Economics.
    31. Knüppel, Malte & Schultefrankenfeld, Guido, 2008. "How informative are macroeconomic risk forecasts? An examination of the Bank of England's inflation forecasts," Discussion Paper Series 1: Economic Studies 2008,14, Deutsche Bundesbank.
    32. Ulrich K. Müller & Gebhard Kirchgässner, 2006. "Are forecasters reluctant to revise their predictions? Some German evidence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 401-413.
    33. Greszta, Michał & Maciejewski, Wojciech, 2000. "Makroekonomiczne prognozy gospodarki polskiej w latach dziewięćdziesiątych," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2000(10), October.
    34. Paulo Júlio & Pedro M. Esperança & João C. Fonseca, 2011. "Evaluating the forecast quality of GDP components," GEE Papers 0041 Classification-C52, , Gabinete de Estratégia e Estudos, Ministério da Economia, revised Oct 2011.
    35. Knüppel, Malte, 2014. "Forecast-error-based estimation of forecast uncertainty when the horizon is increased," Discussion Papers 40/2014, Deutsche Bundesbank.
    36. Knüppel, Malte, 2009. "Efficient estimation of forecast uncertainty based on recent forecast errors," Discussion Paper Series 1: Economic Studies 2009,28, Deutsche Bundesbank.
    37. Palle S Andersen & William L Wascher, 2001. "Understanding the recent behaviour of inflation: an empirical study of wage and price developments in eight countries," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 267-302, Bank for International Settlements.
    38. Smith, Ron, 1998. "Emergent policy-making with macroeconometric models," Economic Modelling, Elsevier, vol. 15(3), pages 429-442, July.
    39. Barot, Bharat, 2007. "Empirical Studies in Consumption, House Prices and the Accuracy of European Growth and Inflation Forecasts," Working Papers 98, National Institute of Economic Research.
    40. Binder, Carola Conces & Wetzel, Samantha, 2018. "The FOMC versus the staff, revisited: When do policymakers add value?," Economics Letters, Elsevier, vol. 171(C), pages 72-75.
    41. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, Decembrie.
    42. Öller, Lars-Erik & Barot, Bharat, 2000. "The Accuracy of European Growth and Inflation Forecasts," Working Papers 72, National Institute of Economic Research.
    43. Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
    44. John C. Robertson & Ellis W. Tallman, 1999. "Improving forecasts of the federal funds rate in a policy model," FRB Atlanta Working Paper 99-3, Federal Reserve Bank of Atlanta.
    45. Karine Bouthevillain & Alexandre Mathis, 1995. "Prévisions : mesures, erreurs et principaux résultats," Économie et Statistique, Programme National Persée, vol. 285(1), pages 89-100.
    46. Karine Bouthevillain, 1993. "La prévision macro-économique : précision relative et consensus," Économie et Prévision, Programme National Persée, vol. 108(2), pages 97-126.
    47. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2013. "Forecasting by factors, by variables, by both or neither?," Journal of Econometrics, Elsevier, vol. 177(2), pages 305-319.
    48. Didier Borowski & Carine Bouthevillain & Catherine Doz & Pierre Malgrange & Pierre Morin, 1991. "Vingt ans de prévisions macro-économiques : une évaluation sur données françaises," Économie et Prévision, Programme National Persée, vol. 99(3), pages 43-65.
    49. Rolando F. Peláez, 2015. "A recession‐and‐state forecasting model," Southern Economic Journal, John Wiley & Sons, vol. 81(4), pages 1025-1039, April.
    50. Rolando F. Peláez, 2015. "Market‐timing the business cycle," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 55-64, September.
    51. Vuchelen, Jef & Gutierrez, Maria-Isabel, 2005. "A direct test of the information content of the OECD growth forecasts," International Journal of Forecasting, Elsevier, vol. 21(1), pages 103-117.
    52. Stephen K. McNees, 1990. "Man vs. model? The role of judgment in forecasting," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 41-52.
    53. Clements, Michael P. & Hendry, David F., 1998. "Forecasting economic processes," International Journal of Forecasting, Elsevier, vol. 14(1), pages 111-131, March.
    54. Eicher, Theo S. & Rollinson, Yuan Gao, 2023. "The accuracy of IMF crises nowcasts," International Journal of Forecasting, Elsevier, vol. 39(1), pages 431-449.

  25. Turner, David S & Wallis, Kenneth F & Whitley, John D, 1989. "Differences in the Properties of Large-Scale Macroeconometric Models: The Role of Labour Market Specifications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(4), pages 317-344, Oct.-Dec..

    Cited by:

    1. Bohdan Klos & Ryszard Kokoszczynski & Tomasz Lyziak & Jan Przystupa & Ewa Wrobel, 2005. "Structural Econometric Models in Forecasting Inflation at the National Bank of Poland," NBP Working Papers 31, Narodowy Bank Polski.
    2. Ingvild Svendsen, 1999. "Female labour participation rates in Norway - trends and cycles," Discussion Papers 253, Statistics Norway, Research Department.

  26. Wallis, Kenneth F, 1988. "Some Recent Developments in Macroeconometric Modelling in the United Kingdom," Australian Economic Papers, Wiley Blackwell, vol. 27(0), pages 7-25, Supplemen.

    Cited by:

    1. Martin Fukac & Adrian Pagan, 2009. "Structural Macro-Econometric Modelling in a Policy Environment," NCER Working Paper Series 50, National Centre for Econometric Research.

  27. Kenneth F. Wallis & John D. Whitley, 1987. "Long-Run Properties of Large-Scale Macroeconometric Models," Annals of Economics and Statistics, GENES, issue 6-7, pages 207-224.

    Cited by:

    1. Murphy, C W, 1988. "An Overview of the Murphy Model," Australian Economic Papers, Wiley Blackwell, vol. 27(0), pages 175-199, Supplemen.
    2. Hiona Balfoussia & Sophocles N. Brissimis & Manthos D. Delis, 2011. "The theoretical framework of monetary policy revisited," Working Papers 138, Bank of Greece.
    3. Peter McAdam, 1998. "A Pedagogical Note on the Long Run of Macro Economic Models," Studies in Economics 9807, School of Economics, University of Kent.
    4. Deleau Michel & Le Van Cuong & Malgrange Pierre, 1987. "Long terme des modèles macroéconométriques (le)," CEPREMAP Working Papers (Couverture Orange) 8729, CEPREMAP.
    5. Simes, Richard M, 1988. "Macroeconometric Model Evaluation, with Special Reference to the NIF88 Model," Australian Economic Papers, Wiley Blackwell, vol. 27(0), pages 29-56, Supplemen.

  28. Kenneth F. Wallis, 1987. "Time Series Analysis Of Bounded Economic Variables," Journal of Time Series Analysis, Wiley Blackwell, vol. 8(1), pages 115-123, January.

    Cited by:

    1. Gustavsson, Magnus & Österholm, Pär, 2010. "Labor-Force Participation Rates and the Informational Value of Unemployment Rates: Evidence from Disaggregated US Data," Working Papers 120, National Institute of Economic Research.
    2. Yousef Makhlouf, 2018. "Trends in income inequality," NBS Discussion Papers in Economics 2018/01, Economics, Nottingham Business School, Nottingham Trent University.
    3. Francesco D’Amuri & Juri Marcucci, 2010. "“Google it!”Forecasting the US Unemployment Rate with a Google Job Search index," Working Papers 2010.31, Fondazione Eni Enrico Mattei.
    4. Diebold, Francis X. & Rudebusch, Glenn D., 2022. "Probability assessments of an ice-free Arctic: Comparing statistical and climate model projections," Journal of Econometrics, Elsevier, vol. 231(2), pages 520-534.
    5. Sakata, Kei & McKenzie, Colin, 2004. "The accumulation of human capital and the sectoral shifts hypothesis for different age groups," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 459-465.
    6. Terence C. Mills, 2009. "Forecasting obesity trends in England," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 107-117, January.
    7. Manfred M. Fischer & Wolfgang Koller, 2001. "Testing for Non-Linear Dependence in Univariate Time Series: An Empirical Investigation of the Austrian Unemployment Rate," ERSA conference papers ersa01p233, European Regional Science Association.
    8. T. Panagiotidis & G. Pelloni, 2004. "Non-Linearity in the Canadian and US Labour Markets: Univariate and Multivariate Evidence from A Battery of Tests," Working Papers 506, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Bishai, David & Opuni, Marjorie & Poon, Andrew, 2007. "Does the level of infant mortality affect the rate of decline?: Time series data from 21 countries," Economics & Human Biology, Elsevier, vol. 5(1), pages 74-81, March.
    10. Theodore Panagiotidis & Gianluigi Pelloni, 2014. "Asymmetry and Lilien's Sectoral Shifts Hypothesis: A Quantile Regression Approach," Working Paper series 15_14, Rimini Centre for Economic Analysis.
    11. Dimitrios Bakas & Theodore Panagiotidis & Gianluigi Pelloni, 2023. "Labor Reallocation and Unemployment Fluctuations: A Tale of Two Tails," Working Paper series 23-07, Rimini Centre for Economic Analysis.
    12. Don Harding, 2020. "Econometric Foundations of the Great Ratios of Economics," Centre of Policy Studies/IMPACT Centre Working Papers g-300, Victoria University, Centre of Policy Studies/IMPACT Centre.
    13. Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
    14. Dimitrios Bakas & Theodore Panagiotidis & Gianluigi Pelloni, 2017. "Regional And Sectoral Evidence Of The Macroeconomic Effects Of Labor Reallocation: A Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 501-526, January.
    15. Cuestas, Juan C. & Gil-Alana, Luis A. & Staehr, Karsten, 2011. "A further investigation of unemployment persistence in European transition economies," Journal of Comparative Economics, Elsevier, vol. 39(4), pages 514-532.
    16. Yousef Makhlouf, 2023. "Trends in Income Inequality: Evidence from Developing and Developed Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 213-243, January.
    17. Brantley Liddle, 2013. "The Energy, Economic Growth, Urbanization Nexus Across Development: Evidence from Heterogeneous Panel Estimates Robust to Cross-Sectional Dependence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    18. Fernanda L. Schumacher & Larissa A. Matos & Víctor H. Lachos & Carlos A. Abanto-Valle & Luis M. Castro, 2024. "A Censored Time Series Analysis for Responses on the Unit Interval: An Application to Acid Rain Modeling," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(1), pages 637-660, February.
    19. Dirk Mevis, 2012. "The Determinants of Short Term Funding in Luxembourgish Banks," BCL working papers 80, Central Bank of Luxembourg.
    20. T. Panagiotidis & G. Pelloni, 2013. "Employment Reallocation and Unemployment Revisited: A Quantile Regression Approach," Working Papers wp881, Dipartimento Scienze Economiche, Universita' di Bologna.
    21. Meredith J. Beechey & Erik Hjalmarsson & Pär Österholm, 2008. "Testing the expectations hypothesis when interest rates are near integrated," International Finance Discussion Papers 953, Board of Governors of the Federal Reserve System (U.S.).
    22. Božidar Popović & Saralees Nadarajah & Miroslav Ristić, 2013. "A new non-linear AR(1) time series model having approximate beta marginals," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(1), pages 71-92, January.
    23. Gil-Alaña, Luis A. & Henry, Brian, 2000. "Fractional integration and the dynamics of UK unemployment," SFB 373 Discussion Papers 2000,14, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    24. Hassler Uwe & Wolters Jürgen, 2009. "Hysteresis in Unemployment Rates? A Comparison between Germany and the US," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 119-129, April.
    25. Bakas, Dimitrios & Papapetrou, Evangelia, 2014. "Unemployment in Greece: Evidence from Greek regions using panel unit root tests," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 551-562.
    26. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
    27. Evangelia Papapetrou & Dimitrios Bakas, 2012. "Unemployment in Greece: evidence from Greek regions," Working Papers 146, Bank of Greece.
    28. Terence Mills, 2010. "Forecasting compositional time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(4), pages 673-690, June.
    29. De-Chih Liu, 2014. "Labor-Force Participation Rates and the Informational Value of Unemployment Rates in US: Evidence from Regional Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(2), pages 447-455, April.
    30. Dimitrios Bakas & Evangelia Papapetrou, 2014. "Unemployment by Gender: Evidence from EU Countries," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(1), pages 103-111, February.

  29. M.J. Andrews & D.N.F. Bell & P.G. Fisher & K.F. Wallis & J.D. Whitley, 1985. "Models of the UK Economy and the Real Wage-Employment Debate," National Institute Economic Review, National Institute of Economic and Social Research, vol. 112(1), pages 41-52, May.

    Cited by:

    1. Stephen Bazen, 1990. "On the Employment Effects of Introducing a National Minimum Wage in the UK," British Journal of Industrial Relations, London School of Economics, vol. 28(2), pages 215-226, July.
    2. Douven, Rudy & Peeters, Marga, 1998. "GDP-spillovers in multi-country models," Economic Modelling, Elsevier, vol. 15(2), pages 163-195, April.
    3. Palle S. Andersen, 1991. "Labour market developments in developing countries," BIS Working Papers 16, Bank for International Settlements.

  30. Burridge, Peter & Wallis, Kenneth F, 1984. "Unobserved-Components Models for Seasonal Adjustment Filters," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 350-359, October.
    See citations under working paper version above.
  31. Wallis, Kenneth F., 1982. "'Time-series' versus 'econometric' forecasts : A non-linear regression counterexample," Economics Letters, Elsevier, vol. 10(3-4), pages 309-315.

    Cited by:

    1. Calzolari, Giorgio & Panattoni, Lorenzo, 1988. "Il problema della coerenza delle previsioni nei modelli econometrici non lineari [The coherency problem when forecasting with nonlinear econometric models]," MPRA Paper 23904, University Library of Munich, Germany.
    2. Gajda, Jan B. & Markowski, Aleksander, 1998. "Model Evaluation Using Stochastic Simulations: The Case of the Econometric Model KOSMOS," Working Papers 61, National Institute of Economic Research.
    3. Brillet, Jean-Louis & Calzolari, Giorgio & Panattoni, Lorenzo, 1986. "Coherent optimal prediction with large nonlinear systems: an example based on a French model," MPRA Paper 29057, University Library of Munich, Germany.

  32. Wallis, Kenneth F, 1980. "Econometric Implications of the Rational Expectations Hypothesis," Econometrica, Econometric Society, vol. 48(1), pages 49-73, January.

    Cited by:

    1. Lui, Silvia & Mitchell, James & Weale, Martin, 2011. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1128-1146, October.
    2. K.F. Wallis, 1992. "On Macroeconomic Policy and Macroeconomic Modeling," Economics Discussion / Working Papers 92-04, The University of Western Australia, Department of Economics.
    3. Broze, Laurence & Gourieroux Christian & Szafarz A, 1986. "Reduction and identification of simultaneous equations models with rational expectations," CEPREMAP Working Papers (Couverture Orange) 8601, CEPREMAP.
    4. Barry A. Goss & S. Gulay Avsar, 2013. "Simultaneity, Forecasting and Profits in London Copper Futures," Australian Economic Papers, Wiley Blackwell, vol. 52(2), pages 79-96, June.
    5. Jean-Paul Azam, 1982. "L'impact macroéconomique de la politique commerciale en déséquilibre : le rôle des importations de biens intermédiaires," Revue Économique, Programme National Persée, vol. 33(6), pages 1089-1114.
    6. Buiter, Willem H., 1983. "Real effects of anticipated and unanticipated money : Some problems of estimation and hypothesis testing," Journal of Monetary Economics, Elsevier, vol. 11(2), pages 207-224.
    7. Koop, Gary & Pesaran, M. Hashem & Smith, Ron P., 2011. "On Identification of Bayesian DSGE Models," SIRE Discussion Papers 2011-18, Scottish Institute for Research in Economics (SIRE).
    8. Bernard Walliser, 1982. "Equilibres et anticipations," Revue Économique, Programme National Persée, vol. 33(4), pages 594-638.
    9. Brock,W.A. & Durlauf,S.N., 2000. "Discrete choice with social interactions," Working papers 7, Wisconsin Madison - Social Systems.
    10. Marco Antonio Bonomo & Ricardo D. Brito, 2001. "Regras Monetárias e Dinâmica Macroeconômica no Brasil: Uma Abordagem de Expectativas Racionais," Working Papers Series 28, Central Bank of Brazil, Research Department.
    11. da Silva, J.A.B.B. & Young, T., 1984. "Distortions of Agricultural Incentives: An Analysis of the Effects of Government Policy on the Brazilian Beef and Dairy Sectors," Manchester Discussion Papers in Development Studies 232617, University of Manchester, School of Economics, International Development Centre.
    12. Duo Qin, 2006. "VAR Modelling Approach and Cowles Commission Heritage," Working Papers 557, Queen Mary University of London, School of Economics and Finance.
    13. Hui-Kuan Tseng, 1998. "Exchange Rate Variability and Exchange Market Intervention: Spot vs. Forward," International Economic Journal, Taylor & Francis Journals, vol. 12(2), pages 1-16.
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    79. Fei Tan, 2017. "Interpreting rational expectations econometrics via analytic function approach," Economics Bulletin, AccessEcon, vol. 37(2), pages 1182-1190.

  33. W.‐Y. T. Chan & Kenneth F. Wallis, 1978. "Multiple Time Series Modelling: Another Look at the Mink‐Muskrat Interaction," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(2), pages 168-175, June.

    Cited by:

    1. Alessandra Luati & Tommaso Proietti, 2010. "Hyper‐spherical and elliptical stochastic cycles," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(3), pages 169-181, May.
    2. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.

  34. Wallis, Kenneth F, 1977. "Multiple Time Series Analysis and the Final Form of Econometric Models," Econometrica, Econometric Society, vol. 45(6), pages 1481-1497, September.

    Cited by:

    1. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2016. "Canadian monetary policy analysis using a structural VARMA model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 347-373, February.
    2. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2009. "VARMA models for Malaysian Monetary Policy Analysis," Monash Econometrics and Business Statistics Working Papers 6/09, Monash University, Department of Econometrics and Business Statistics.
    3. Shonkwiler, J.S. & Spreen, T.H., 1986. "Bootstrapping The Hog Cycle," 1986 Annual Meeting, July 27-30, Reno, Nevada 278160, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Federico Ravenna, 2006. "Vector autoregressions and reduced form representations of DSGE models," Working Papers 0619, Banco de España.
    5. Raghavan, Mala & Athanasopoulos, George, 2018. "Analysis of shock transmissions to a small open emerging economy using a SVARMA model," Working Papers 2018-02, University of Tasmania, Tasmanian School of Business and Economics.
    6. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    7. Marc Nerlove, 1979. "The Dynamics of Supply: Retrospect and Prospect," Discussion Papers 394, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    8. Antoni Espasa & Daniel Peña, 1990. "Los modelos Arima, el estado de equilibrio en variables económicas y su estimación," Investigaciones Economicas, Fundación SEPI, vol. 14(2), pages 191-211, May.
    9. E. Philip Howrey, 1980. "The Role of Time Series Analysis in Econometric Model Evaluation," NBER Chapters, in: Evaluation of Econometric Models, pages 275-307, National Bureau of Economic Research, Inc.
    10. Alasdair Scott & George Kapetanios & Adrian Pagan, 2005. "Making a match: combining theory and evidence in policy-oriented macroeconomic modelling," Computing in Economics and Finance 2005 462, Society for Computational Economics.
    11. Miller, Stephen E., 1982. "Predicting Time Series Turning Points with Arima Models," Working Papers 116869, Clemson University, Department of Agricultural and Applied Economics.
    12. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Studying co-movements in large multivariate models without multivariate modelling," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    13. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    14. Diebold, F.X. & Kilian, L. & Nerlove, Marc, 2006. "Time Series Analysis," Working Papers 28556, University of Maryland, Department of Agricultural and Resource Economics.
    15. Tsung-Wu Ho, 2008. "On the dynamic relationship of exchange rates and monetary fundamentals: an impulse-response analysis by local projections," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1141-1145.
    16. Lutkepohl, Helmut, 2007. "General-to-specific or specific-to-general modelling? An opinion on current econometric terminology," Journal of Econometrics, Elsevier, vol. 136(1), pages 319-324, January.
    17. Renee Fry & Adrian Pagan, 2010. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," CAMA Working Papers 2010-22, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Gianluca Cubadda & Umberto Triacca, 2011. "An Alternative Solution to the Autoregressivity Paradox in Time Series Analysis," CEIS Research Paper 184, Tor Vergata University, CEIS, revised 24 Jan 2011.
    19. Kristine Wika Haraldsen & Ragnar Nymoen & Victoria Sparrman, 2019. "Labour market institutions, shocks and the employment rate," Discussion Papers 901, Statistics Norway, Research Department.
    20. Weaver, Robert D. & Stefanou, Spiro E., 1984. "Toward A Behavioral Approach To Modelling Dynamic Production Choice Structures," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 13(2), pages 1-14, October.
    21. Anna Mikusheva & Mikkel S{o}lvsten, 2023. "Linear Regression with Weak Exogeneity," Papers 2308.08958, arXiv.org, revised Jan 2024.
    22. Palm, F.C., 1981. "Structural econometric modelling and time series analysis towards an integrated approach," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    23. D.S. Poskitt, 2009. "Vector Autoregresive Moving Average Identification for Macroeconomic Modeling: Algorithms and Theory," Monash Econometrics and Business Statistics Working Papers 12/09, Monash University, Department of Econometrics and Business Statistics.
    24. Haraldsen, Kristine Wika & Ragnar, Nymoen & Sparrman, Victoria, 2019. "Labour market institutions, shocks and the employment rate," Memorandum 6/2019, Oslo University, Department of Economics.
    25. Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
    26. Lutkepohl, Helmut & Poskitt, D S, 1996. "Specification of Echelon-Form VARMA Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 69-79, January.
    27. Mardi Dungey & Adrian Pagan, 2009. "Extending a SVAR Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 85(268), pages 1-20, March.
    28. Poskitt, D.S., 2016. "Vector autoregressive moving average identification for macroeconomic modeling: A new methodology," Journal of Econometrics, Elsevier, vol. 192(2), pages 468-484.
    29. Renee Fry & Adrian Pagan, 2005. "Some Issues In Using Vars For Macroeconometric Research," CAMA Working Papers 2005-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    31. Spreen, Thomas H. & Shonkwiler, J. Scott, 1981. "The Hog Cycle Revisited," 1981 Annual Meeting, July 26-29, Clemson, South Carolina 279384, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    32. Emre Kahraman & Gazanfer Unal, 2016. "Multiple Wavelet Coherency Analysis and Forecasting of Metal Prices," Papers 1602.01960, arXiv.org.
    33. John McDonald, 1979. "A time series approach to forecasting Australian total live-births," Demography, Springer;Population Association of America (PAA), vol. 16(4), pages 575-601, November.
    34. Özer Karagedikli & Rishab Sethi & Christie Smith & Aaron Drew, 2008. "Changes in the transmission mechanism of monetary policy in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/03, Reserve Bank of New Zealand.

  35. Wallis, Kenneth F, 1972. "Testing for Fourth Order Autocorrelation in Qtrly Regression Equations," Econometrica, Econometric Society, vol. 40(4), pages 617-636, July.

    Cited by:

    1. John J. Beggs, 1988. "Diagnostic Testing in Applied Econometrics," The Economic Record, The Economic Society of Australia, vol. 64(2), pages 81-101, June.
    2. Chris M. Alaouze & John S. Marsden & John Zeitsch, 1977. "Estimates of the Elasticity of Substitution Between Imported and Domestically Produced Commodities at the Four Digit ASIC Level," Centre of Policy Studies/IMPACT Centre Working Papers o-11, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Jean-Marie Dufour & Malika Neifar, 2003. "Méthodes d'inférence exactes pour un modèle de régression avec erreurs AR(2) gaussiennes," CIRANO Working Papers 2003s-54, CIRANO.
    4. David F. Hendry & Gordon J. Anderson, 1975. "Testing Dynamic Specification in Small Simultaneous Systems: An Application to a Model of Building Society Behavior in the United Kingdom," Cowles Foundation Discussion Papers 398, Cowles Foundation for Research in Economics, Yale University.
    5. Dufour, Jean-Marie & Neifar, Malika, 2002. "Méthodes d’inférence exactes pour des processus autorégressifs : une approche fondée sur des tests induits," L'Actualité Economique, Société Canadienne de Science Economique, vol. 78(1), pages 19-40, Mars.
    6. Erum Toor & Tanweer Ul Islam, 2019. "Power Comparison of Autocorrelation Tests in Dynamic Models," International Econometric Review (IER), Econometric Research Association, vol. 11(2), pages 58-69, September.
    7. Mahmood, Talat, 1990. "Die Dynamik der Rentabilität als stochastischer Prozess: eine empirische Zeitreihenanalyse von ausgewählten deutschen und amerikanischen Unternehmen. Vom Fachbereich 20 Informatik der Technischen Univ," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 112236, August.
    8. George Babich & John Goodhew, 1978. "Short Term Econometric Forecasting and Seasonal Adjustment," The Economic Record, The Economic Society of Australia, vol. 54(2), pages 229-236, August.
    9. Peter Dawkins & Mark Wooden, 1985. "Labour Utilization and Wage Inflation in Australia: An Empirical Examination," The Economic Record, The Economic Society of Australia, vol. 61(2), pages 516-521, June.
    10. Roberts, Roland K., 1985. "Transportation Costs In Econometric Models Of State Agricultural Sectors: The Case Of Beef In Hawaii," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(01), pages 1-17, July.

  36. Wallis, Kenneth F, 1969. "Some Recent Developments in Applied Econometrics: Dynamic Models and Simultaneous Equation Systems," Journal of Economic Literature, American Economic Association, vol. 7(3), pages 771-796, September.

    Cited by:

    1. Rambaldi, Sandro & Pinazza, Ombretta, 1994. "An accurate fractional Brownian motion generator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 208(1), pages 21-30.
    2. Jean-François Goux, 1983. "La dynamique de l'accumulation réelle des ménages," Revue Économique, Programme National Persée, vol. 34(1), pages 182-235.
    3. Jin Seo Cho & Matthew Greenwood-Nimmo & Yongcheol Shin, 2021. "Recent Developments of the Autoregressive Distributed Lag Modelling Framework," Working papers 2021rwp-186, Yonsei University, Yonsei Economics Research Institute.
    4. Arthur Goldberger, 1971. "Econometrics and psychometrics: A survey of communalities," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 83-107, June.
    5. Steib, Steve B., 1972. "The Euro-dollar market as a source of United States bank liquidity," ISU General Staff Papers 197201010800006277, Iowa State University, Department of Economics.
    6. Duncan, Ronald C., 1972. "Evaluating Returns To Research In Pasture Improvement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 16(3), pages 1-16, December.
    7. James Chan-Lee, 1980. "A review of recent work in the area of inflationary expectations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 116(1), pages 45-86, March.

Chapters

  1. Kenneth F. Wallis, 2008. "Forecast Uncertainty, Its Representation And Evaluation," World Scientific Book Chapters, in: Roberto S Mariano & Yiu-Kuen Tse (ed.), Econometric Forecasting And High-Frequency Data Analysis, chapter 1, pages 1-51, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Simionescu, Mihaela, 2017. "Prediction intervals for inflation and unemployment rate in Romania. A Bayesian approach," GLO Discussion Paper Series 82, Global Labor Organization (GLO).
    2. Tsyplakov, Alexander, 2010. "The links between inflation and inflation uncertainty at the longer horizon," MPRA Paper 26908, University Library of Munich, Germany.
    3. Tsyplakov Alexander, 2010. "The links between inflation and inflation uncertainty at the longer horizon," EERC Working Paper Series 10/09e, EERC Research Network, Russia and CIS.
    4. Knüppel, Malte, 2011. "Evaluating the calibration of multi-step-ahead density forecasts using raw moments," Discussion Paper Series 1: Economic Studies 2011,32, Deutsche Bundesbank.
    5. Coutiño, Alfredo, 2016. "Pitfalls in monetary policy decisions based on the output gap," Journal of Policy Modeling, Elsevier, vol. 38(1), pages 54-64.

  2. Kenneth F. Wallis, 1978. "Seasonal Adjustment and Multiple Time Series Analysis," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 347-364, National Bureau of Economic Research, Inc.

    Cited by:

    1. S. Krane & W. Wascher, 1999. "The cyclical sensitivity of seasonality in US employment," BIS Working Papers 67, Bank for International Settlements.
    2. Stefania D'Amico & Don H. Kim & Min Wei, 2010. "Tips from TIPS: the informational content of Treasury Inflation-Protected Security prices," Finance and Economics Discussion Series 2010-19, Board of Governors of the Federal Reserve System (U.S.).
    3. Christiano, Lawrence J. & Todd, Richard M., 2002. "The conventional treatment of seasonality in business cycle analysis: does it create distortions?," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 335-364, March.
    4. Eric Ghysels, 1992. "Christmas, Spring and the Dawning of Economic Recovery," Cowles Foundation Discussion Papers 1027, Cowles Foundation for Research in Economics, Yale University.
    5. Javed I. Ahmed, 2014. "Competition in lending and credit ratings," Finance and Economics Discussion Series 2014-23, Board of Governors of the Federal Reserve System (U.S.).
    6. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    7. Cholette, Pierre A., 1983. "La désaisonnalisation pour le non-spécialiste," L'Actualité Economique, Société Canadienne de Science Economique, vol. 59(1), pages 144-152, mars.
    8. Richard M. Todd, 1989. "Periodic linear-quadratic methods for modeling seasonality," Staff Report 127, Federal Reserve Bank of Minneapolis.

Books

  1. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589833, June.

    Cited by:

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    Cited by:

    1. Kazimi, C. & Brownstone, D., 1994. "Bootstrap Confidence Bands for Shrinkage Estimators," Papers 94-95-5, California Irvine - School of Social Sciences.
    2. Christopher Bajada, 2002. "How Reliable are the Estimates of the Underground Economy?," Economics Bulletin, AccessEcon, vol. 3(14), pages 1-11.
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    4. Francois, Joseph & Nelson, Douglas R., 2014. "Political support for trade policy in the European Union," European Journal of Political Economy, Elsevier, vol. 36(C), pages 243-253.
    5. Jamie Emerson & Chihwa Kao, 2005. "Bootstrapping and hypothesis testing in non-stationary panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 313-318.
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    7. Bernasconi, Michele & Kirchkamp, Oliver, 2000. "Why do monetary policies matter? An experimental study of saving and inflation in an overlapping generations model," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 315-343, October.
    8. Yanna Wu & Subhash C. Ray, 2005. "Technical Efficiency and Stock Market Reaction to Horizontal Mergers," Working papers 2005-05, University of Connecticut, Department of Economics.
    9. Tomasz Wozniak, 2012. "Testing Causality Between Two Vectors in Multivariate GARCH Models," Department of Economics - Working Papers Series 1139, The University of Melbourne.
    10. Nahuis, Richard & Smulders, Sjak, 2002. "The Skill Premium, Technological Change and Appropriability," Journal of Economic Growth, Springer, vol. 7(2), pages 137-156, June.
    11. Ernst Fehr & Jean-Robert Tyran, 2004. "Money illusion and coordination failure," University of St. Gallen Department of Economics working paper series 2004 2004-02, Department of Economics, University of St. Gallen.
    12. Eckstein, Zvi & van den Berg, Gerard J., 2007. "Empirical labor search: A survey," Journal of Econometrics, Elsevier, vol. 136(2), pages 531-564, February.
    13. Taylor Mark P. & Sarno Lucio, 2001. "Real Exchange Rate Dynamics in Transition Economies: A Nonlinear Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-26, October.
    14. Stephen Devadoss & Jeff Luckstead, 2020. "US–Brazilian cotton policies," The World Economy, Wiley Blackwell, vol. 43(8), pages 2222-2236, August.
    15. W. Bentley MacLeod, 2007. "Reputations, Relationships, and Contract Enforcement," Journal of Economic Literature, American Economic Association, vol. 45(3), pages 595-628, September.
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    17. Michihiro Kandori, 2011. "Weakly Belief‐Free Equilibria in Repeated Games With Private Monitoring," Econometrica, Econometric Society, vol. 79(3), pages 877-892, May.
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    21. Hirschberg, Joseph G. & Maasoumi, Esfandiar & Slottje, Daniel & Arize, Augustine C., 2003. "Antitrust issues in international comparisons of market structure," Journal of Econometrics, Elsevier, vol. 113(1), pages 129-158, March.
    22. Hehenkamp, Burkhard & Kaarbøe, Oddvar M., 2004. "Equilibrium selection in supermodular games with mean payoff technologies," Working Papers in Economics 08/04, University of Bergen, Department of Economics.
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    8. Yanna Wu & Subhash C. Ray, 2005. "Technical Efficiency and Stock Market Reaction to Horizontal Mergers," Working papers 2005-05, University of Connecticut, Department of Economics.
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    10. Nahuis, Richard & Smulders, Sjak, 2002. "The Skill Premium, Technological Change and Appropriability," Journal of Economic Growth, Springer, vol. 7(2), pages 137-156, June.
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    26. Angela Milena Rojas Rivera, 2007. "Cliometría: Una comunidad científica en el pseudo-mercado del conocimiento (1957-2006)," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 66, pages 47-82, Enero-Jun.
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    32. Matthias Benz, "undated". "Entrepreneurship as a non-profit-seeking activity," IEW - Working Papers 243, Institute for Empirical Research in Economics - University of Zurich.
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    41. Pascal Courty & Gerald Marschke, 2004. "An Empirical Investigation of Gaming Responses to Explicit Performance Incentives," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 23-56, January.
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    43. Soham Baksi & Pinaki Bose & Di Xiang, 2017. "Credence Goods, Misleading Labels, and Quality Differentiation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 377-396, October.
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    Cited by:

    1. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, Decembrie.

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