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Paolo Giordani

Not to be confused with: Paolo E. Giordani

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.

Working papers

  1. Giordani, Paolo & Jacobson, Tor & von Schedvin , Erik & Villani, Mattias, 2011. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Working Paper Series 256, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Cathcart, Lara & Dufour, Alfonso & Rossi, Ludovico & Varotto, Simone, 2020. "The differential impact of leverage on the default risk of small and large firms," Journal of Corporate Finance, Elsevier, vol. 60(C).
    2. Gunawan, David & Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc, 2019. "Subsampling Sequential Monte Carlo for Static Bayesian Models," Working Paper Series 371, Sveriges Riksbank (Central Bank of Sweden).
    3. Xueyan Dong & Kam C. Chan & Yujia Cui & Jenny Xinjiao Guan, 2021. "Strategic deviance and cash holdings," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(3-4), pages 742-782, March.
    4. Guotai Chi & Fengshan Bai & Hongping Tan & Ying Zhou, 2025. "Default Prediction Framework With Optimal Feature Set and Matching Ratio," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(7), pages 2067-2088, November.
    5. Muhammad Zubair Mumtaz & Zachary Alexander Smith, 2018. "IPOs in the U.S. from 2005 to 2015: Using the Spline Regression Technique to Estimate Aggregate Issuance and Performance," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(2), pages 165-199, April.
    6. Lee, Kangbok & Joo, Sunghoon & Baik, Hyeoncheol & Han, Sumin & In, Joonhwan, 2020. "Unbalanced data, type II error, and nonlinearity in predicting M&A failure," Journal of Business Research, Elsevier, vol. 109(C), pages 271-287.
    7. Villani, Mattias & Kohn, Robert & Nott, David J., 2012. "Generalized smooth finite mixtures," Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
    8. Ida Nervik Hjelseth & Arvid Raknerud & Bjørn H. Vatne, 2022. "A bankruptcy probability model for assessing credit risk on corporate loans with automated variable selection," Working Paper 2022/7, Norges Bank.
    9. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023. "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 533-571, July.
    10. Taoushianis, Zenon, 2025. "Bankruptcy prediction with fractional polynomial transformation of financial ratios," European Journal of Operational Research, Elsevier, vol. 327(2), pages 690-702.
    11. Péter Bauer & Marianna Endrész, 2016. "Modelling Bankruptcy Using Hungarian Firm-Level Data," MNB Occasional Papers 2016/122, Magyar Nemzeti Bank (Central Bank of Hungary).
    12. Ken Li, 2024. "Liquidity ratios and corporate failures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 1111-1134, March.
    13. Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015. "Speeding Up Mcmc By Efficient Data Subsampling," Working Paper Series 297, Sveriges Riksbank (Central Bank of Sweden).
    14. Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019. "Hamiltonian Monte Carlo with Energy Conserving Subsampling," Working Paper Series 372, Sveriges Riksbank (Central Bank of Sweden).
    15. Niklas Amberg & Tor Jacobson & Erik von Schedvin & Robert Townsend, 2016. "Curbing Shocks to Corporate Liquidity: The Role of Trade Credit," NBER Working Papers 22286, National Bureau of Economic Research, Inc.
    16. Koresh Galil & Neta Gilat, 2018. "Predicting Default More Accurately: To Proxy Or Not To Proxy For Default," Working Papers 1801, Ben-Gurion University of the Negev, Department of Economics.
    17. Feng Li & Mattias Villani, 2013. "Efficient Bayesian Multivariate Surface Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 706-723, December.
    18. Quiroz, Matias & Villani, Mattias, 2013. "Dynamic mixture-of-experts models for longitudinal and discrete-time survival data," Working Paper Series 268, Sveriges Riksbank (Central Bank of Sweden).
    19. Georgios Sermpinis & Serafeim Tsoukas & Ping Zhang, 2019. "What influences a bank's decision to go public?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1464-1485, October.
    20. Flavio de Carolis & Vinzenz Peters, 2025. "European SMEs, Corporate Finance and Economic Resilience to Floods," Working Papers 832, DNB.

  2. Strid, Ingvar & Giordani, Paolo & Kohn, Robert, 2010. "Adaptive hybrid Metropolis-Hastings samplers for DSGE models," SSE/EFI Working Paper Series in Economics and Finance 724, Stockholm School of Economics.

    Cited by:

    1. Edward P. Herbst & Frank Schorfheide, 2012. "Sequential Monte Carlo sampling for DSGE models," Working Papers 12-27, Federal Reserve Bank of Philadelphia.
    2. Pasanisi, Alberto & Fu, Shuai & Bousquet, Nicolas, 2012. "Estimating discrete Markov models from various incomplete data schemes," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2609-2625.
    3. Fernández-Villaverde, Jesús & Guerron-Quintana, Pablo A., 2020. "Estimating DSGE Models: Recent Advances and Future Challenges," CEPR Discussion Papers 15164, Centre for Economic Policy Research.
    4. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    5. Joshua Brault, 2024. "Parallel Tempering for DSGE Estimation," Staff Working Papers 24-13, Bank of Canada.

  3. Giordani, Paolo & Villani, Mattias, 2009. "Forecasting Macroeconomic Time Series With Locally Adaptive Signal Extraction," Working Paper Series 234, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
    2. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
    3. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
    4. Krystian Jaworski, 2019. "Sentiment-induced regime switching in density forecasts of emerging markets’ exchange rates. Calibrated simulation trumps estimated autoregression," Bank i Kredyt, Narodowy Bank Polski, vol. 50(1), pages 83-106.
    5. Luiz Renato Regis de Oliveira Lima & Wagner Piazza Gaglianone, 2012. "Constructing Optimal Density Forecasts from Point Forecast Combinations," Série Textos para Discussão (Working Papers) 5, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
    6. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
    7. Florian Huber, 2014. "Density Forecasting using Bayesian Global Vector Autoregressions with Common Stochastic Volatility," Department of Economics Working Papers wuwp179, Vienna University of Economics and Business, Department of Economics.
    8. Bulkley, George & Giordani, Paolo, 2011. "Structural breaks, parameter uncertainty, and term structure puzzles," Journal of Financial Economics, Elsevier, vol. 102(1), pages 222-232, October.
    9. Garratt, Anthony & Mise, Emi, 2014. "Forecasting exchange rates using panel model and model averaging," Economic Modelling, Elsevier, vol. 37(C), pages 32-40.
    10. Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    11. Liu, Yuelin & Morley, James, 2014. "Structural evolution of the postwar U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
    12. Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
    13. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    14. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    15. Vasiliy Zubakin & Oleg Kosorukov & Nikita Moiseev, 2015. "Improvement of Regression Forecasting Models," Modern Applied Science, Canadian Center of Science and Education, vol. 9(6), pages 344-344, June.

  4. Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2007. "Nonparametric Regression Density Estimation Using Smoothly Varying Normal Mixtures," Working Paper Series 211, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2009. "Regression density estimation using smooth adaptive Gaussian mixtures," Journal of Econometrics, Elsevier, vol. 153(2), pages 155-173, December.
    2. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    3. Chib, Siddhartha & Greenberg, Edward, 2010. "Additive cubic spline regression with Dirichlet process mixture errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 322-336, June.

  5. Giordani, Paolo & Kohn, Robert, 2006. "Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models," Working Paper Series 196, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
    2. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    3. Francesco Ravazzolo & Shaun P. Vahey, 2010. "Forecast densities for economic aggregates from disaggregate ensembles," Working Paper 2010/02, Norges Bank.
    4. Georges Dionne & Olfa Maalaoui Chun, 2013. "Default and liquidity regimes in the bond market during the 2002-2012 period," Working Papers 13-4, HEC Montreal, Canada Research Chair in Risk Management.
    5. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.
    6. Smith, Simon C., 2017. "Equity premium estimates from economic fundamentals under structural breaks," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 49-61.
    7. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
    8. Koop, Gary & Korobilis, Dimitris, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," MPRA Paper 87972, University Library of Munich, Germany.
    9. Massimo Guidolin & Francesco Ravazzolo & Andrea Tortora, 2014. "Myths and Facts about the Alleged Over-Pricing of U.S. Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 477-523, November.
    10. Lennart Hoogerheide & Richard Kleijn & Francesco Ravazzolo & Herman K. Van Dijk & Marno Verbeek, 2010. "Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 251-269.
    11. Eo, Yunjong & Kim, Chang-Jin, 2012. "Markov-Switching Models with Evolving Regime-Specific Parameters: Are Post-War Booms or Recessions All Alike?," Working Papers 2012-04, University of Sydney, School of Economics.
    12. Fiorentini, G. & Planas, C. & Rossi, A., 2012. "The marginal likelihood of dynamic mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2650-2662.
    13. Jesus Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber, 2018. "Spillovers from US monetary policy: Evidence from a time-varying parameter GVAR model," Working Papers in Economics 2018-6, University of Salzburg.
    14. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2009. "On the evolution of the monetary policy transmission mechanism," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 997-1017, April.
    15. Drew Creal & Siem Jan Koopman & Eric Zivot, 2010. "Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
    16. Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "On the Evolution of Monetary Policy," Working Paper series 24_08, Rimini Centre for Economic Analysis.
    17. Georges Dionne & Olfa Maalaoui Chun, 2013. "Presidential Address: Default and liquidity regimes in the bond market during the 2002–2012 period," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(4), pages 1160-1195, November.
    18. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    19. Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
    20. Hou, Chenghan, 2017. "Infinite hidden markov switching VARs with application to macroeconomic forecast," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1025-1043.
    21. Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
    22. Rodríguez, Gabriel & Castillo B., Paul & Guevara Ruiz, Brenda & Yamuca Salvatierra, Leonela, 2025. "Time-varying transmission of external shocks in Peru: Reassessing the role of monetary policy," Economic Modelling, Elsevier, vol. 152(C).
    23. Eo, Yunjong, 2015. "Structural Changes in Inflation Dynamics: Multiple Breaks at Different Dates for Different Parameters," Working Papers 2015-18, University of Sydney, School of Economics, revised Nov 2015.
    24. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber, 2019. "Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 831-861, June.
    25. Guidolin, Massimo & Hansen, Erwin & Pedio, Manuela, 2019. "Cross-asset contagion in the financial crisis: A Bayesian time-varying parameter approach," Journal of Financial Markets, Elsevier, vol. 45(C), pages 83-114.
    26. He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
    27. Bulkley, George & Giordani, Paolo, 2011. "Structural breaks, parameter uncertainty, and term structure puzzles," Journal of Financial Economics, Elsevier, vol. 102(1), pages 222-232, October.
    28. Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
    29. Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
    30. Ardia, David & Dufays, Arnaud & Ordás Criado, Carlos, 2023. "Linking Frequentist and Bayesian Change-Point Methods," MPRA Paper 119486, University Library of Munich, Germany.
    31. Sjoerd van den Hauwe & Richard Paap & Dick J.C. van Dijk, 2011. "An Alternative Bayesian Approach to Structural Breaks in Time Series Models," Tinbergen Institute Discussion Papers 11-023/4, Tinbergen Institute.
    32. Guidolin, Massimo & Ravazzolo, Francesco & Tortora, Andrea Donato, 2013. "Alternative econometric implementations of multi-factor models of the U.S. financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 87-111.
    33. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    34. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    35. Massimo Guidolin & Francesco Ravazzolo & Andrea Donato Tortora, 2011. "Myths and Facts about the Alleged Over-Pricing of U.S. Real Estate. Evidence from Multi-Factor Asset Pricing Models of REIT Returns," Working Papers 416, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    36. Nalan Basturk & Pinar Ceyhan & Herman K. van Dijk, 2014. "Bayesian Forecasting of US Growth using Basic Time Varying Parameter Models and Expectations Data," Tinbergen Institute Discussion Papers 14-119/III, Tinbergen Institute, revised 14 Sep 2014.
    37. Liu, Yuelin & Morley, James, 2014. "Structural evolution of the postwar U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
    38. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    39. Huang Yu-Fan, 2021. "An effcient exact Bayesian method For state space models with stochastic volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-10, April.
    40. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    41. Fischer, Manfred M. & Hauzenberger, Niko & Huber, Florian & Pfarrhofer, Michael, 2022. "General Bayesian time-varying parameter VARs for modeling government bond yields," Working Papers in Regional Science 2021/01, WU Vienna University of Economics and Business.
    42. Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
    43. Jochmann, Markus & Koop, Gary & Leon-Gonzalez & Strachan, Rodney W., 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," SIRE Discussion Papers 2009-44, Scottish Institute for Research in Economics (SIRE).
    44. Smith Aaron, 2012. "Markov Breaks in Regression Models," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-35, May.
    45. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended New Keynesian Phillips Curve Models with Non-filtered Data," Tinbergen Institute Discussion Papers 13-090/III, Tinbergen Institute.
    46. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
    47. Jiawen Xu & Pierre Perron, 2023. "Forecasting in the presence of in-sample and out-of-sample breaks," Empirical Economics, Springer, vol. 64(6), pages 3001-3035, June.
    48. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    49. Giordani, Paolo & Villani, Mattias, 2010. "Forecasting macroeconomic time series with locally adaptive signal extraction," International Journal of Forecasting, Elsevier, vol. 26(2), pages 312-325, April.
    50. Bauwens, Luc & De Backer, Bruno & Dufays, Arnaud, 2014. "A Bayesian method of change-point estimation with recurrent regimes: Application to GARCH models," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 207-229.
    51. Mehmet Balcilar & Riza Demirer & Festus V. Bekun, 2021. "Flexible Time-Varying Betas in a Novel Mixture Innovation Factor Model with Latent Threshold," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    52. Planas, C. & Roeger, W. & Rossi, A., 2013. "The information content of capacity utilization for detrending total factor productivity," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 577-590.
    53. Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2010. "Time Varying Dimension Models," Working Paper series 44_10, Rimini Centre for Economic Analysis.
    54. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    55. MeiChi Huang, 2022. "Time‐varying roles of housing risk factors in state‐level housing markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4660-4683, October.
    56. Chao Du & Chu-Lan Michael Kao & S. C. Kou, 2016. "Stepwise Signal Extraction via Marginal Likelihood," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 314-330, March.
    57. Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.
    58. John M Maheu & Thomas H McCurdy, 2007. "How useful are historical data for forecasting the long-run equity return distribution?," Working Papers tecipa-293, University of Toronto, Department of Economics.
    59. Lu Shaochuan, 2023. "Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation," International Statistical Review, International Statistical Institute, vol. 91(1), pages 88-113, April.
    60. Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
    61. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    62. John M Maheu & Stephen Gordon, 2007. "Learning, Forecasting and Structural Breaks," Working Papers tecipa-284, University of Toronto, Department of Economics.
    63. He, Zhongfang, 2026. "A computationally efficient mixture innovation model for time-varying parameter regressions," Econometrics and Statistics, Elsevier, vol. 37(C), pages 250-269.
    64. Bauwens, Luc & Korobilis, Dimitris & Koop, Gary & Rombouts, Jeroen V.K., 2011. "A Comparison Of Forecasting Procedures For Macroeconomic Series: The Contribution Of Structural Break Models," SIRE Discussion Papers 2011-25, Scottish Institute for Research in Economics (SIRE).
    65. Alexeev, Vitali & Dungey, Mardi & Yao, Wenying, 2017. "Time-varying continuous and jump betas: The role of firm characteristics and periods of stress," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 1-19.
    66. Chiara Lattanzi & Manuele Leonelli, 2019. "A changepoint approach for the identification of financial extreme regimes," Papers 1902.09205, arXiv.org.
    67. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    68. Niko Hauzenberger & Daniel Kaufmann & Rebecca Stuart & Cédric Tille, 2022. "What Drives Long-Term Interest Rates? Evidence from the Entire Swiss Franc History 1852-2020," IRENE Working Papers 22-03, IRENE Institute of Economic Research.
    69. Korobilis, Dimitris, 2009. "Assessing the transmission of monetary policy using dynamic factor models," MPRA Paper 27593, University Library of Munich, Germany, revised Nov 2010.
    70. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
    71. Jiawen Xu & Pierre Perron, 2017. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series WP2018-014, Boston University - Department of Economics, revised Nov 2018.
    72. Arnaud Dufays & Zhuo Li & Jeroen V.K. Rombouts & Yong Song, 2021. "Sparse change‐point VAR models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 703-727, September.
    73. Jordi Maas, 2014. "Forecasting inflation using time-varying Bayesian model averaging," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(3), pages 149-182, August.
    74. Máximo Camacho & María Dolores Gadea & Ana Gómez Loscos, 2019. "A new approach to dating the reference cycle," Working Papers 1914, Banco de España.
    75. Michael L. Polemis & Thanasis Stengos, 2017. "Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model," Working Paper series 17-07, Rimini Centre for Economic Analysis.
    76. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2021. "General Bayesian time-varying parameter VARs for predicting government bond yields," Papers 2102.13393, arXiv.org.
    77. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    78. Simon C. Smith, 2020. "Equity premium prediction and structural breaks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 412-429, July.
    79. Huiqin Li & Shuai Guan & Yongfu Liu, 2022. "Analysis on the Steady Growth Effect of China’s Fiscal Policy from a Dynamic Perspective," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    80. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Panel Forecasts of Country-Level Covid-19 Infections," NBER Working Papers 27248, National Bureau of Economic Research, Inc.
    81. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    82. Sang Gil Kang & Woo Dong Lee & Yongku Kim, 2021. "Bayesian Multiple Change-Points Detection in a Normal Model with Heterogeneous Variances," Computational Statistics, Springer, vol. 36(2), pages 1365-1390, June.
    83. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series 200906, University of Hamburg, Department of Socioeconomics.
    84. Jhonatan Portilla Goicochea & Gabriel Rodríguez, 2020. "Evolution of Monetary Policy in Peru: An Empirical Application using a Mixture Innovation TVP-VAR-SV Model," Documentos de Trabajo / Working Papers 2020-485, Departamento de Economía - Pontificia Universidad Católica del Perú.
    85. Gary Koop & Simon M. Potter, 2007. "A flexible approach to parametric inference in nonlinear time series models," Staff Reports 285, Federal Reserve Bank of New York.
    86. Ko, Stanley I. M. & Chong, Terence T. L. & Ghosh, Pulak, 2014. "Dirichlet Process Hidden Markov Multiple Change-point Model," MPRA Paper 57871, University Library of Munich, Germany.
    87. Koop, Gary & Potter, Simon, 2010. "A flexible approach to parametric inference in nonlinear and time varying time series models," Journal of Econometrics, Elsevier, vol. 159(1), pages 134-150, November.
    88. Ida Wolden Bache & James Mitchell & Francesco Ravazzolo & Shaun P. Vahey, 2009. "Macro modelling with many models," Working Paper 2009/15, Norges Bank.
    89. Zhongfang He, 2024. "Locally time-varying parameter regression," Econometric Reviews, Taylor & Francis Journals, vol. 43(5), pages 269-300, May.
    90. He, Feng & Ma, Feng & Wang, Ziwei & Yang, Bohan, 2021. "Asymmetric volatility spillover between oil-importing and oil-exporting countries' economic policy uncertainty and China's energy sector," International Review of Financial Analysis, Elsevier, vol. 75(C).
    91. Perricone, Chiara, 2018. "Clustering macroeconomic variables," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 23-33.
    92. Gary Koop & Simon M. Potter, 2007. "Prior Elicitation in Multiple Change-point Models," Working Paper series 17_07, Rimini Centre for Economic Analysis.

  6. Giordani, Paolo & Söderlind, Paul, 2003. "Is There Evidence of Pessimism and Doubt in Subjective Distributions? A Comment on Abel," SIFR Research Report Series 19, Institute for Financial Research.

    Cited by:

    1. Joseph Engelberg & Charles F. Manski & Jared Williams, 2006. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," NBER Working Papers 11978, National Bureau of Economic Research, Inc.
    2. Jouini, Elyes & Napp, Clotilde, 2006. "Heterogeneous beliefs and asset pricing in discrete time: An analysis of pessimism and doubt," Journal of Economic Dynamics and Control, Elsevier, vol. 30(7), pages 1233-1260, July.
    3. Verma, Rahul & Soydemir, Gökçe, 2009. "The impact of individual and institutional investor sentiment on the market price of risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1129-1145, August.
    4. Elyès Jouini & Clotilde Napp, 2008. "On Abel's Concept of Doubt and Pessimism," Post-Print halshs-00176611, HAL.
    5. Rydqvist, Kristian, 2010. "Tax Arbitrage with Risk and Effort Aversion - Swedish Lottery Bonds 1970-1990," SIFR Research Report Series 70, Institute for Financial Research.
    6. Hermalin, Benjamin E. & Weisbach, Michael S., 2010. "Information Disclosure and Corporate Governance," SIFR Research Report Series 76, Institute for Financial Research, revised 01 Jun 2011.
    7. Dreber, Anna & Rand, David G. & Garcia, Justin R. & Wernerfelt, Nils & Lum, J. Koji & Zeckhauser, Richard, 2010. "Dopamine and Risk Preferences in Different Domains," SIFR Research Report Series 71, Institute for Financial Research.
    8. Olivier Armantier & Nicolas Treich, 2006. "Overbidding in Independant Private-Values Auctions and Misperception of Probabilities," CIRANO Working Papers 2006s-15, CIRANO.

  7. Giordani, Paolo & Söderlind, Paul, 2002. "Solution of Macromodels with Hansen-Sargent Robust Policies: Some Extensions," SSE/EFI Working Paper Series in Economics and Finance 499, Stockholm School of Economics, revised 15 May 2003.

    Cited by:

    1. Chatelain, Jean-Bernard & Ralf, Kirsten, 2017. "Can we Identify the Fed's Preferences?," MPRA Paper 76831, University Library of Munich, Germany.
    2. Marine Charlotte André & Meixing Dai, 2016. "Learning, robust monetray policy and the merit of precaution," Working Papers of BETA 2016-54, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Luo, Yulei & Nie, Jun & Young, Eric, 2014. "Model Uncertainty and Intertemporal Tax Smoothing," MPRA Paper 54268, University Library of Munich, Germany.
    4. Leitemo, Kai & Söderström, Ulf, 2005. "Robust monetary policy in a small open economy," Bank of Finland Research Discussion Papers 20/2005, Bank of Finland.
    5. Adam – Nelu ALTĂR – SAMUEL, 2008. "Robust Monetary Policy," Journal of Information Systems & Operations Management, Romanian-American University, vol. 2(2), pages 475-486, November.
    6. Dennis, Richard & Leitemo, Kai & Söderström, Ulf, 2009. "Methods for robust control," Journal of Economic Dynamics and Control, Elsevier, vol. 33(8), pages 1604-1616, August.
    7. Li Qin & Moïse SIDIROPOULOS & Eleftherios Spyromitros, 2009. "Robust Monetary Policy under Model Uncertainty and Inflation Persistence," Working Papers of BETA 2009-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Juha Kilponen, 2004. "A positive theory of monetary policy and robust control," Macroeconomics 0404036, University Library of Munich, Germany.
    9. Michael Paetz, 2007. "Robust Control and Persistence in the New Keynesian Economy," Quantitative Macroeconomics Working Papers 20711, Hamburg University, Department of Economics.
    10. Jean-Bernard Chatelain & Kirsten Ralf, 2020. "Policy Maker's Credibility with Predetermined Instruments for Forward-Looking Targets," Papers 2012.02806, arXiv.org.
    11. Richhild Moessner, 2006. "Optimal discretionary policy in rational expectations models with regime switching," Bank of England Staff Working Paper series 299, Bank of England.
    12. Chatelain, Jean-Bernard & Ralf, Kirsten, 2020. "Hopf Bifurcation from New-Keynesian Taylor Rule to Ramsey Optimal Policy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Forthcomi.
    13. Kwon, Hyosung & Miao, Jianjun, 2017. "Three types of robust Ramsey problems in a linear-quadratic framework," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 211-231.
    14. Li Qin & Moïse Sidiropoulos & Eleftherios Spyromitros, 2010. "Robust Monetary Policy Under Uncertainty About Central Bank Preferences," Bulletin of Economic Research, Wiley Blackwell, vol. 62(2), pages 197-208, April.
    15. Matthew Canzoneri & Robert Cumby & Behzad Diba, 2015. "Monetary Policy and the Natural Rate of Interest," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 383-414, March.
    16. Dai, Meixing & Spyromitros, Eleftherios, 2012. "A Note On Monetary Policy, Asset Prices, And Model Uncertainty," Macroeconomic Dynamics, Cambridge University Press, vol. 16(5), pages 777-790, November.
    17. Levine, Paul & Pearlman, Joseph, 2010. "Robust monetary rules under unstructured model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 456-471, March.
    18. Kilponen, Juha & Leitemo, Kai, 2006. "Robustness in monetary policymaking: a case for the Friedman rule," Bank of Finland Research Discussion Papers 4/2006, Bank of Finland.
    19. Burkhard Heer & Stefan Rohrbacher & Christian Scharrer, 2014. "Aging, the Great Moderation and Business-Cycle Volatility in a Life-Cycle Model," CESifo Working Paper Series 4584, CESifo.
    20. Kohei Hasui, 2021. "How robustness can change the desirability of speed limit policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 553-570, November.
    21. A. Hakan Kara, 2003. "Optimal Monetary Policy, Commitment, and Imperfect Credibility," Working Papers 0301, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    22. Jean-Bernard Chatelain & Kirsten Ralf, 2018. "The Indeterminacy of Determinacy with Fiscal, Macro-prudential or Taylor Rules," PSE Working Papers halshs-01877766, HAL.
    23. Peter von zur Muehlen & Robert J. Tetlow, 2005. "Robustifying Learnability," Computing in Economics and Finance 2005 437, Society for Computational Economics.
    24. Arnulfo Rodriguez & Pedro N. Rodriguez, 2006. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Computing in Economics and Finance 2006 30, Society for Computational Economics.
    25. Araújo, Eurilton, 2013. "Robust monetary policy with the consumption-wealth channel," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 296-311.
    26. Eleftherios SPYROMITROS & Li QIN, 2006. "Central bank transparency about model uncertainty and wage setters," Economics Bulletin, AccessEcon, vol. 5(18), pages 1-5.
    27. Roberto M. Billi, 2011. "Optimal Inflation for the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 29-52, July.
    28. Ida, Daisuke & Okano, Mitsuhiro, 2023. "Optimal monetary policy delegation in a small-open new Keynesian model with robust control," Economic Modelling, Elsevier, vol. 120(C).
    29. Eurilton Araújo, 2008. "Robust Monetary Policy with the Consumption-Wealth Channel," Business and Economics Working Papers 031, Unidade de Negocios e Economia, Insper.
    30. Kai Leitemo & Ulf Soderstrom, 2004. "Robust Monetary Policy in the New-Keynesian Framework," Working Papers 273, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    31. Richard Dennis, 2013. "Imperfect Credibility and Robust Monetary Policy," Working Papers 2013_14, Business School - Economics, University of Glasgow.
    32. Peter Tillmann, 2009. "Robust Monetary Policy with the Cost Channel," Economica, London School of Economics and Political Science, vol. 76(303), pages 486-504, July.
    33. Traficante, Guido, 2013. "Monetary policy, parameter uncertainty and welfare," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 73-80.
    34. Meixing Dai, 2020. "La réponse de la BCE face ? la pandémie de Covid-19," Bulletin de l'Observatoire des politiques économiques en Europe, Observatoire des Politiques Économiques en Europe (OPEE), vol. 42(1), pages 5-14, July.
    35. Gino Cateau, 2017. "Price‐level versus inflation targeting under model uncertainty," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(2), pages 522-540, May.
    36. Paulo Vieira & Celsa Machado & Ana Paula Ribeiro, 2016. "Optimal Fiscal Simple Rules for Small and Large Countries of a Monetary Union," EcoMod2016 9685, EcoMod.
    37. Amélie Barbier-Gauchard & Meixing Dai & Claire Mainguy & Jamel Saadaoui & Moïse Sidiropoulos & Isabelle Terraz & Jamel Trabelsi, 2020. "Towards a more resilient European Union after the COVID-19 crisis," Working Papers of BETA 2020-33, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    38. Kantur, Zeynep & Özcan, Gülserim, 2019. "Optimal Policy Implications of Financial Uncertainty," MPRA Paper 95920, University Library of Munich, Germany.
    39. Fatemeh Labafi Feriz & Saeed Samadi & khadijeh Nasrollahi & Rasul Bakhshi Dastjerdi, 2018. "Robust Discretionary Monetary Policy under Cost-Push Shock Uncertainty of Iran’s Economy," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 503-526, Spring.
    40. Rodríguez Arnulfo & González Fidel & González García Jesús R., 2007. "Uncertainty about the Persistence of Cost-Push Shocks and the Optimal Reaction of the Monetary Authority," Working Papers 2007-05, Banco de México.
    41. Abhijit Sen Gupta, 2010. "Robust monetary policies in small open economies," Oxford Economic Papers, Oxford University Press, vol. 62(2), pages 350-373, April.
    42. Dai, Meixing & Spyromitros, Eleftherios, 2012. "Inflation contract, central bank transparency and model uncertainty," Economic Modelling, Elsevier, vol. 29(6), pages 2371-2381.
    43. Richard Dennis, 2007. "How Robustness Can Lower the Cost of Discretion," Working Paper Series 2007-09, Federal Reserve Bank of San Francisco.
    44. Matthew Canzoneri & Robert Cumby, 2014. "Optimal Exchange Intervention in an Inflation Targeting Regime: Some Cautionary Tales," Open Economies Review, Springer, vol. 25(3), pages 429-450, July.
    45. Moisă ALTĂR & Alexie ALUPOAIEI & Adam ALTĂR-SAMUEL, 2017. "Dynamics in a New-Keynesian Model with Financial Accelerator and Uncertainty," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(2), pages 5-22.
    46. Richard Dennis, 2006. "Robust Control with Commitment: A Modification to Hansen-Sargent," Working Paper Series 2005-20, Federal Reserve Bank of San Francisco.
    47. Tillmann Peter, 2009. "Does Model Uncertainty Justify Conservatism? Robustness and the Delegation of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-28, June.
    48. Hasui, Kohei, 2020. "A Note On Robust Monetary Policy And Non-Zero Trend Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1574-1594, September.
    49. Giuseppe Diana & Moise Sidiropoulos, 2006. "Robust Control and Monetary Policy Delegation," Working Papers of BETA 2006-26, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    50. Heer, Burkhard & Scharrer, Christian, 2018. "The age-specific burdens of short-run fluctuations in government spending," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 45-75.
    51. André Marine Charlotte & Medina Espidio Sebastián, 2022. "Optimal Robust Monetary Policy in a Small Open Economy," Working Papers 2022-17, Banco de México.
    52. Juha Kilponen & Kai Leitemo, 2008. "Model Uncertainty and Delegation: A Case for Friedman's k‐Percent Money Growth Rule?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 547-556, March.
    53. Jean-Guillaume Sahuc, 2003. "Robust European monetary policy rules," Applied Economics Letters, Taylor & Francis Journals, vol. 10(14), pages 889-894.
    54. Li Qin & Elefterios Spyromitros & Moïse Sidiropoulos, 2006. "Does Model Uncertainty Lead to Less Central Bank Transparency?," Working Papers of BETA 2006-22, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    55. Adam Altar-Samuel, 2008. "Robust Monetary Policy," Advances in Economic and Financial Research - DOFIN Working Paper Series 21, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    56. Taro Ikeda, 2013. "Asymmetric forecasting and commitment policy in a robust control problem," Discussion Papers 1306, Graduate School of Economics, Kobe University.
    57. Vitale, Paolo, 2018. "Optimal monetary policy for a pessimistic central bank," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 39-59.
    58. Roth, Markus & Bursian, Dirk, 2012. "Taylor rule cross-checking and selective monetary policy adjustment," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62078, Verein für Socialpolitik / German Economic Association.
    59. Francesco Giuli, 2007. "Robust control in a Sticky information economy," Working Papers in Public Economics 98, Department of Economics and Law, Sapienza University of Rome.
    60. Hansen, Lars Peter & Sargent, Thomas J., 2012. "Three types of ambiguity," Journal of Monetary Economics, Elsevier, vol. 59(5), pages 422-445.
    61. van der Ploeg, Frederick, 2009. "Prudent monetary policy and prediction of the output gap," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 217-230, June.
    62. Gerke, Rafael & Hammermann, Felix & Lewis, Vivien, 2012. "Robust monetary policy in a model with financial distress," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 318-325.
    63. Kirdan Lees, 2006. "What do robust policies look like for open economy inflation targeters?," Reserve Bank of New Zealand Discussion Paper Series DP2006/08, Reserve Bank of New Zealand.
    64. Adam – Nelu Altăr-Samuel, 2008. "Robust Monetary Policy," Romanian Economic Business Review, Romanian-American University, vol. 3(2), pages 19-28, June.
    65. Hasui Kohei, 2021. "Trend Growth and Robust Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 449-472, June.
    66. Sánchez, Marcelo, 2011. "Robust central banking under wage bargaining: Is monetary policy transparency beneficial?," Economic Modelling, Elsevier, vol. 28(1-2), pages 432-438, January.
    67. Tsasa Vangu, Jean-Paul Kimbambu, 2014. "Diagnostic de la politique monétaire en Rép. Dém. Congo – Approche par l’Equilibre Général Dynamique Stochastique," Dynare Working Papers 38, CEPREMAP.
    68. Marcelo Sánchez, 2013. "On the Limits of Transparency: The Role of Imperfect Central Bank Knowledge," International Finance, Wiley Blackwell, vol. 16(2), pages 245-271, June.
    69. André Marine Charlotte & Dai Meixing, 2020. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers 2020-12, Banco de México.
    70. Sánchez, Marcelo, 2011. "Robust central banking under wage bargaining: Is monetary policy transparency beneficial?," Economic Modelling, Elsevier, vol. 28(1), pages 432-438.
    71. Araújo, Eurilton, 2008. "Robust Monetary Policy with the Consumption-Wealth Channel," Insper Working Papers wpe_110, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    72. Meixing DAI & Eleftherios SPYROMITROS, 2008. "Monetary policy, asset prices and model uncertainty," Working Papers of BETA 2008-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    73. André, Marine Charlotte & Espidio, Sebastián Medina, 2024. "Optimal robust monetary policy in a small open emerging-market economy," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    74. Jianjun Miao & Hyosung Kwon, 2013. "Woodford's Approach to Robust Policy Analysis in a Linear-Quadratic Framework," 2013 Meeting Papers 19, Society for Economic Dynamics.
    75. Olalla, Myriam García & Gómez, Alejandro Ruiz, 2011. "Robust control and central banking behaviour," Economic Modelling, Elsevier, vol. 28(3), pages 1265-1278, May.
    76. Juha Kilponen, 2004. "Robust expectations and uncertain models – A robust control approach with application to the New Keynesian economy," GE, Growth, Math methods 0404004, University Library of Munich, Germany.
    77. Lee, Sang Seok & Luk, Paul, 2018. "The Asian Financial Crisis and international reserve accumulation: A robust control approach," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 284-309.

  8. Favara, Giovanni & Giordani, Paolo, 2002. "Reconsidering the Role of Money for Output, Prices and Interest Rates," SSE/EFI Working Paper Series in Economics and Finance 514, Stockholm School of Economics.

    Cited by:

    1. Alessandro Gobbi & Tim Willems, 2011. "Identifying US Monetary Policy Shocks through Sign Restrictions in Dollarized Countries," Tinbergen Institute Discussion Papers 11-145/2, Tinbergen Institute.
    2. Maral Kichian, 2012. "Financial Conditions and the Money-Output Relationship in Canada," Staff Working Papers 12-33, Bank of Canada.
    3. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    4. Barthélemy, Jean & Clerc, Laurent & Marx, Magali, 2011. "A two-pillar DSGE monetary policy model for the euro area," Economic Modelling, Elsevier, vol. 28(3), pages 1303-1316, May.
    5. Fabio Canova & Tobias Menz, 2009. "Does money matter in shaping domestic business cycles? An international investigation (with appendices)," Economics Working Papers 1242, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2010.
    6. Seitz, Franz & Albuquerque, Bruno & Baumann, Ursel, 2015. "The Information Content Of Money And Credit For US Activity," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113066, Verein für Socialpolitik / German Economic Association.
    7. El-Shagi, Makram & Kelly, Logan, 2019. "What can we learn from country-level liquidity in the EMU?," Journal of Financial Stability, Elsevier, vol. 42(C), pages 75-83.
    8. Karanassou, Marika & Sala, Hector, 2010. "The US inflation-unemployment trade-off revisited: New evidence for policy-making," Journal of Policy Modeling, Elsevier, vol. 32(6), pages 758-777, November.
    9. Caraiani, Petre, 2016. "Money and output causality: A structural approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 220-236.
    10. Poilly, Céline, 2010. "Does money matter for the identification of monetary policy shocks: A DSGE perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2159-2178, October.
    11. Mariano Kulish & Stephen Elias, 2013. "Direct effects of money on aggregate demand: another look at the evidence," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3801-3809, September.
    12. Ida, Daisuke, 2025. "The neo-Fisherian effect in a new Keynesian model with real money balances," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
    13. Paolo Zagaglia, 2011. "Forecasting Long-Term Interest Rates with a Dynamic General Equilibrium Model of the Euro Area: The Role of the Feedback," Working Paper series 19_11, Rimini Centre for Economic Analysis.
    14. Robert F. Mulligan, 2016. "An Empirical Comparison of Canadian-American Business Cycle Fluctuations with Special Reference to the Phillips Curve," Advances in Austrian Economics, in: Studies in Austrian Macroeconomics, volume 20, pages 163-194, Emerald Group Publishing Limited.
    15. Petre Caraiani, 2014. "Do money and financial variables help forecasting output in emerging European Economies?," Empirical Economics, Springer, vol. 46(2), pages 743-763, March.
    16. Lindé, Jesper, 2003. "Monetary Policy Shocks and Business Cycle Fluctuations in a Small Open Economy: Sweden 1986-2002," Working Paper Series 153, Sveriges Riksbank (Central Bank of Sweden).
    17. Araújo, Eurilton, 2015. "Monetary policy objectives and Money’s role in U.S. business cycles," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 85-107.
    18. Edward Nelson, 2008. "Why money growth determines inflation in the long run: answering the Woodford critique," Working Papers 2008-013, Federal Reserve Bank of St. Louis.
    19. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.
    20. Qureshi, Irfan, 2018. "Money Aggregates and Determinacy : A Reinterpretation of Monetary Policy During the Great Inflation," The Warwick Economics Research Paper Series (TWERPS) 1156, University of Warwick, Department of Economics.
    21. Vespignani, Joaquin L. & Ratti, Ronald A., 2013. "International monetary transmission to the Euro area: Evidence from the U.S., Japan and China," MPRA Paper 49153, University Library of Munich, Germany.
    22. Helmut Lütkepohl & Aleksei Netsunajev, 2014. "Structural Vector Autoregressions with Smooth Transition in Variances: The Interaction between U.S. Monetary Policy and the Stock Market," Discussion Papers of DIW Berlin 1388, DIW Berlin, German Institute for Economic Research.
    23. Rasool, Haroon & Adil, Masudul Hasan & Tarique, Md, 2018. "An Empirical Evidence of Dynamic Interaction among price level, interest rate, money supply and real income: The case of the Indian Economy," MPRA Paper 87452, University Library of Munich, Germany.
    24. Chevapatrakul, Thanaset & Kim, Tae-Hwan & Mizen, Paul, 2012. "Monetary information and monetary policy decisions: Evidence from the euroarea and the UK," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 326-341.
    25. Donato Masciandaro, 2023. "How Elastic and Predictable Money Should Be: Flexible Monetary Policy Rules from the Great Moderation to the New Normal Times (1993-2023)," BAFFI CAREFIN Working Papers 23196, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    26. Ahrens, Steffen & Snower, Dennis J., 2014. "Envy, guilt, and the Phillips curve," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 69-84.
    27. Lioui, Abraham & Poncet, Patrice, 2012. "On model ambiguity and money neutrality," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1020-1033.
    28. Wang, Ling, 2022. "The dynamics of money supply determination under asset purchase programs: A market-based versus a bank-based financial system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    29. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    30. Jagjit S. Chadha & Luisa Corrado & Sean Holly, 2013. "A Note on Money and the Conduct of Monetary Policy," Cambridge Working Papers in Economics 1329, Faculty of Economics, University of Cambridge.
    31. Fabio Canova & Tobias Menz, 2011. "Does Money Matter in Shaping Domestic Business Cycles? An International Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 577-607, June.
    32. Helmut Lütkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo.
    33. Sousa, Ricardo M., 2010. "Housing wealth, financial wealth, money demand and policy rule: Evidence from the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 88-105, March.
    34. Zanetti, Francesco, 2012. "Banking and the role of money in the business cycle," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 87-94.
    35. Barigozzi, Matteo, 2018. "On the stability of euro area money demand and its implications for monetary policy," LSE Research Online Documents on Economics 87283, London School of Economics and Political Science, LSE Library.
    36. Zagaglia, Paolo, 2009. "Forecasting with a DSGE Model of the term Structure of Interest Rates: The Role of the Feedback," Research Papers in Economics 2009:14, Stockholm University, Department of Economics.
    37. Haroon Rasool & Masudul Hasan Adil & Md. Tarique, 2025. "Empirical Evidence of Dynamic Interactions Among Price Level, Interest Rate, Money Supply and Real Income: The Case of the Indian Economy," Global Business Review, International Management Institute, vol. 26(2), pages 283-302, April.
    38. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    39. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
    40. Giovanni Caggiano & Efrem Castelnuovo & Olivier Damette & Antoine Parent & Giovanni Pellegrino, 2016. "Liquidity Traps and Large-Scale Financial Crises," Melbourne Institute Working Paper Series wp2016n32, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    41. Efrem Castelnuovo, 2012. "Estimating the Evolution of Money’s Role in the U.S. Monetary Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 23-52, February.
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    43. Victor Song & Libo Xu, 2023. "Do Monetary Policy Shocks Have Asymmetric Effects on Stock Market?," Open Economies Review, Springer, vol. 34(5), pages 1063-1078, November.
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    Cited by:

    1. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    2. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    3. Bernd Hayo & Carsten Hefeker, 2001. "Do We Really Need Central Bank Independence? A Critical Re- examination," Macroeconomics 0103006, University Library of Munich, Germany.
    4. Hayo, Bernd & Hefeker, Carsten, 2002. "Reconsidering central bank independence," European Journal of Political Economy, Elsevier, vol. 18(4), pages 653-674, November.

  10. Giordani, Paolo, 2001. "An Alternative Explanation of the Price Puzzle," Working Paper Series 125, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Khalfaoui, Rabeh & Padhan, Hemachandra & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Resources Policy, Elsevier, vol. 68(C).
    2. Alessandro Gobbi & Tim Willems, 2011. "Identifying US Monetary Policy Shocks through Sign Restrictions in Dollarized Countries," Tinbergen Institute Discussion Papers 11-145/2, Tinbergen Institute.
    3. Balázs Égert & Ronald MacDonald, 2009. "Monetary Transmission Mechanism In Central And Eastern Europe: Surveying The Surveyable," Journal of Economic Surveys, Wiley Blackwell, vol. 23(2), pages 277-327, April.
    4. Chen, Zhengyang & Valcarcel, Victor J., 2025. "Modeling inflation expectations in forward-looking interest rate and money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    5. Bianco, Timothy, 2021. "Monetary policy and credit flows," Journal of Macroeconomics, Elsevier, vol. 70(C).
    6. Fabio Canova & David López-Salido & Claudio Michelacci, 2007. "The labor market effects of technology shocks," Working Papers 0719, Banco de España.
    7. Sophocles N. Brissimis & Nicholas S. Magginas, 2004. "Forward-Looking Information in VAR Models and the Price Puzzle," Working Papers 10, Bank of Greece.
    8. Efrem Castelnuovo & Paolo Surico, 2006. "The Price Puzzle: Fact or Artifact?," "Marco Fanno" Working Papers 0016, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    10. Iuliana Matei & Jérôme Héricourt, 2007. "Transmission de la politique monétaire dans les Pays d'Europe Centrale et Orientale : que savons-nous vraiment ?," Économie et Prévision, Programme National Persée, vol. 180(4), pages 221-238.
    11. Jerome Creel & Paola Monperrus-Veroni & Francesco Saraceno, 2005. "Discretionary Policy Interactions and the Fiscal Theory of the Price Level: A SVAR Analysis on French Data," Documents de Travail de l'OFCE 2005-12, Observatoire Francais des Conjonctures Economiques (OFCE).
    12. Inwon Jang & David Kim, 2009. "The Dynamics of the Credit Spread and Monetary Policy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 109-131, May.
    13. Stefański, Maciej, 2022. "Macroeconomic effects and transmission channels of quantitative easing," Economic Modelling, Elsevier, vol. 114(C).
    14. Ivan Hajdukovic, 2022. "Transmission mechanisms of conventional and unconventional monetary policies in open economies," Post-Print hal-03912666, HAL.
    15. Louis, Rosmy & Balli, Faruk & Osman, Mohammad, 2008. "Monetary Union Among Arab Gulf Cooperation Council (AGCC) Countries: Does the symmetry of shocks extend to the non-oil sector?," MPRA Paper 11611, University Library of Munich, Germany.
    16. Mansur, Alfan, 2015. "Identifying Shocks on the Economic Fluctuations in Indonesia and US: The Role of Oil Price Shocks in a Structural Vector Autoregression Model," MPRA Paper 94018, University Library of Munich, Germany, revised 09 Jun 2015.
    17. Magdalena Morgese Borys & Roman Horvath, 2007. "The Effects of Monetary Policy in the Czech Republic: An Empirical Study," CERGE-EI Working Papers wp339, The Center for Economic Research and Graduate Education - Economics Institute, Prague.