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Francesca Monti

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. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2016. "Exploiting the monthly data flow in structural forecasting," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 201-215.

    Mentioned in:

    1. Hey, Economist! How Do You Forecast the Present?
      by Blog Author in Liberty Street Economics on 2017-06-16 20:15:00
    2. Exploiting the monthly data flow in structural forecasting
      by Christian Zimmermann in NEP-DGE blog on 2014-10-05 22:06:38
  2. Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2014. "Exploiting the monthly data flow in structural forecasting," Bank of England working papers 509, Bank of England.

    Mentioned in:

    1. Hey, Economist! How Do You Forecast the Present?
      by Blog Author in Liberty Street Economics on 2017-06-16 20:15:00
    2. Exploiting the monthly data flow in structural forecasting
      by Christian Zimmermann in NEP-DGE blog on 2014-10-05 22:06:38

Working papers

  1. Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.

    Cited by:

    1. Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022. "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    2. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    3. Anastasia Mogilat & Oleg Kryzhanovskiy & Zhanna Shuvalova & Yaroslav Murashov, 2024. "DYFARUS: Dynamic Factor Model to Forecast GDP by Output Using Input-Output Tables," Russian Journal of Money and Finance, Bank of Russia, vol. 83(2), pages 3-25, June.
    4. Martin Feldkircher & Florian Huber & Michael Pfarrhofer, 2021. "Measuring the effectiveness of US monetary policy during the COVID‐19 recession," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 287-297, July.
    5. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    6. William Ginn, 2024. "Agricultural fluctuations and global economic conditions," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(3), pages 1037-1056, August.
    7. Tesi Aliaj & Milos Ciganovic & Massimiliano Tancioni, 2023. "Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 464-480, April.
    8. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
    9. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    10. Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Sciences Po Economics Publications (main) hal-03573080, HAL.
    11. Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2022. "Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP," Papers 2209.01910, arXiv.org.
    12. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
    13. Serena Ng & Susannah Scanlan, 2024. "Constructing high frequency economic indicators by imputation," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 1-30.
    14. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    15. Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
    16. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    17. Boriss Siliverstovs, 2021. "New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and the Past?," Econometrics, MDPI, vol. 9(1), pages 1-25, March.
    18. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    19. Alain Hecq & Marie Ternes & Ines Wilms, 2023. "Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions," Papers 2301.10592, arXiv.org, revised Nov 2024.
    20. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
    21. Donato Ceci & Orest Prifti & Andrea Silvestrini, 2024. "Nowcasting Italian GDP growth: a Factor MIDAS approach," Temi di discussione (Economic working papers) 1446, Bank of Italy, Economic Research and International Relations Area.
    22. Meyer-Gohde, Alexander & Shabalina, Ekaterina, 2022. "Estimation and forecasting using mixed-frequency DSGE models," IMFS Working Paper Series 175, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    23. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    24. Lin, Jiahe & Michailidis, George, 2024. "A multi-task encoder-dual-decoder framework for mixed frequency data prediction," International Journal of Forecasting, Elsevier, vol. 40(3), pages 942-957.
    25. Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024. "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series 2930, European Central Bank.
    26. Daniel Felix Ahelegbey, 2025. "Inference of Impulse Responses via Bayesian Graphical Structural VAR Models," Econometrics, MDPI, vol. 13(2), pages 1-20, April.
    27. Lenza, Michele & Savoia, Ettore, 2024. "Do we need firm data to understand macroeconomic dynamics?," Working Paper Series 438, Sveriges Riksbank (Central Bank of Sweden).
    28. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    29. Julian Ashwin & Eleni Kalamara & Lorena Saiz, 2024. "Nowcasting Euro area GDP with news sentiment: A tale of two crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 887-905, August.
    30. Kéa Baret & Frédérique Bec & Marion Cochard, 2025. "Quantifying Uncertainty in France’s Debt Trajectory: A VAR Based Analysis," Working papers 1019, Banque de France.
    31. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    32. Juvonen, Petteri & Lindblad, Annika, 2025. "Nowcasting in real time: Large Bayesian vector autoregression in a test," Bank of Finland Research Discussion Papers 6/2025, Bank of Finland.
    33. Daniel Hopp, 2022. "Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis," Papers 2203.11872, arXiv.org.
    34. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    35. Manu Sharma & Vinish Kathuria, 2025. "Macroeconomic Nowcasting: What can Central Banks Learn from a Structured Literature Review?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 23(2), pages 333-388, June.
    36. Agostino Consolo & Claudia Foroni & Catalina Martínez Hernández, 2023. "A Mixed Frequency BVAR for the Euro Area Labour Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1048-1082, October.
    37. Daniel Parra-Amado & Camilo Granados, 2025. "Output Gap Measurement after COVID for Colombia: Lessons from a Permanent-Transitory Approach," Borradores de Economia 1295, Banco de la Republica de Colombia.
    38. Ioannis D. Vrontos & John Galakis & Ekaterini Panopoulou & Spyridon D. Vrontos, 2024. "Forecasting GDP growth: The economic impact of COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1042-1086, July.

  2. Roland Meeks & Francesca Monti, 2019. "Heterogeneous beliefs and the Phillips curve," Bank of England working papers 807, Bank of England.

    Cited by:

    1. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," Cowles Foundation Discussion Papers 2289, Cowles Foundation for Research in Economics, Yale University.
    2. Yoosoon Chang & Ana Maria Herrera & Elena Pesavento, 2023. "Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring," CAMA Working Papers 2023-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Hilde C. Bjornland & Yoosoon Chang & Jamie L. Cross, 2024. "Oil and the Stock Market Revisited: A Mixed Functional VAR Approach," CAEPR Working Papers 2023-005 Classification-1, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    5. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
    6. Tsiaplias, Sarantis, 2020. "Time-Varying Consumer Disagreement and Future Inflation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    7. Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2025. "A Dynare toolbox for social learning expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    8. Andreasen, Martin M. & Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2024. "Does risk matter more in recessions than in expansions? Implications for monetary policy," Journal of Monetary Economics, Elsevier, vol. 143(C).
    9. Ellison, Martin & Macaulay, Alistair, 2019. "A Rational Inattention Unemployment Trap," CEPR Discussion Papers 13761, C.E.P.R. Discussion Papers.
    10. Yoosoon Chang & Soyoung Kim & Joon Y. Park, 2025. "How Do Macroaggregates and Income Distribution Interact Dynamically? A Novel Structural Mixed Autoregression with Aggregate and Functional Variables," CAMA Working Papers 2025-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Ehrmann, Michael & Hubert, Paul, 2023. "Information acquisition ahead of monetary policy announcements," Working Paper Series 2770, European Central Bank.
    12. Philip Bunn & Lena Anayi & Nicholas Bloom & Paul Mizen & Gregory Thwaites & Ivan Yotzov, 2025. "How curvy is the Phillips curve?," Bank of England working papers 1107, Bank of England.
    13. Meeks, Roland & Monti, Francesca, 2023. "Heterogeneous beliefs and the Phillips curve," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 41-54.
    14. Arndt, Sarah, 2024. "Different Newspapers – Different Inflation Perceptions," Working Papers 0748, University of Heidelberg, Department of Economics.
    15. Czudaj, Robert L., 2023. "Anchoring of Inflation Expectations and the Role of Monetary Policy and Cost-Push Factors," MPRA Paper 119029, University Library of Munich, Germany.
    16. Andros Kourtellos & Christos Antonios Statheas & Marios Zachariadis, 2025. "What can we learn from the distributions of inflation expectations across European households?," University of Cyprus Working Papers in Economics 02-2025, University of Cyprus Department of Economics.
    17. Rychalovska, Yuliya & Slobodyan, Sergey & Wouters, Raf, 2025. "Survey expectations, learning and inflation dynamics," European Economic Review, Elsevier, vol. 180(C).
    18. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.

  3. Sílvia Domit & Francesca Monti & Andrej Sokol, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.

    Cited by:

    1. Olga Korotkikh, 2020. "A Multi-Country BVAR Model for the External Sector," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 98-112, December.
    2. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah, 2017. "GDP nowcasting: application and constraints in a small open developing economy," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3880-3890, August.
    4. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    5. Bańbura, Marta & Bobeica, Elena & Giammaria, Alessandro & Porqueddu, Mario & van Spronsen, Josha, 2025. "A new model to forecast energy inflation in the euro area," Working Paper Series 3062, European Central Bank.
    6. Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019. "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1658-1668.
    7. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    8. Ian Borg & Germano Ruisi, 2018. "Forecasting using Bayesian VARs: A Benchmark for STREAM," CBM Working Papers WP/04/2018, Central Bank of Malta.
    9. Dmitry Kreptsev & Sergei Seleznev, 2017. "DSGE Model of the Russian Economy with the Banking Sector," Bank of Russia Working Paper Series wps27, Bank of Russia.

  4. Riccardo Masolo & Francesca Monti, 2015. "Ambiguity, monetary policy and trend inflation," Bank of England working papers 565, Bank of England.

    Cited by:

    1. Federico Di Pace & Giacomo Mangiante & Riccardo Masolo, 2023. "Do firm expectations respond to monetary policy announcements?," Bank of England working papers 1014, Bank of England.
    2. Martin Seneca, 2020. "Risk Shocks and Monetary Policy in the New Normal," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 185-232, December.
    3. Baqaee, David Rezza, 2018. "Asymmetric Inflation Expectations, Downward Rigidity of Wages, and Asymmetric Business Cycles," CEPR Discussion Papers 12906, C.E.P.R. Discussion Papers.
    4. Dmitri V. Vinogradov & Michael J. Lamla & Yousef Makhlouf, 2024. "Survey-based expectations and uncertainty attitudes," Working Papers 2024_02, Business School - Economics, University of Glasgow.
    5. 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.
    6. Feng, Yang & Siu, Tak Kuen & Zhu, Jinxia, 2025. "How might model uncertainty and transaction costs impact retained earning & dividend strategies? An examination through a classical insurance risk model," Insurance: Mathematics and Economics, Elsevier, vol. 120(C), pages 131-158.
    7. Yoo, Donghoon, 2019. "Ambiguous information, permanent income, and consumption fluctuations," European Economic Review, Elsevier, vol. 119(C), pages 79-96.
    8. Paciello, Luigi & Michelacci, Claudio, 2020. "Aggregate Risk or Aggregate Uncertainty? Evidence from UK Households," CEPR Discussion Papers 14557, C.E.P.R. Discussion Papers.
    9. Milos Borozan & Loreta Cannito & Barbara Luppi, 2022. "A tale of two ambiguities: A conceptual overview of findings from economics and psychology," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 11-21, July.
    10. Le Thanh Ha & To Trung Thanh & Doan Ngoc Thang, 2021. "Welfare costs of monetary policy uncertainty in the economy with shifting trend inflation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 126-154, February.

  5. Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2014. "Exploiting the monthly data flow in structural forecasting," Bank of England working papers 509, Bank of England.

    Cited by:

    1. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    2. Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
    3. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    4. Alexander Eliseev, 2025. "Nowcasting Russian GDP in a Mixed-Frequency DSGE Model with a Panel of Non-Modelled Variables," Russian Journal of Money and Finance, Bank of Russia, vol. 84(3), pages 63-93, September.
    5. David Kohns & Arnab Bhattacharjee, 2019. "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series 010, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    6. Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    7. Boriss Siliverstovs, 2020. "Assessing nowcast accuracy of US GDP growth in real time: the role of booms and busts," Empirical Economics, Springer, vol. 58(1), pages 7-27, January.
    8. Meyer-Gohde, Alexander & Shabalina, Ekaterina, 2022. "Estimation and forecasting using mixed-frequency DSGE models," IMFS Working Paper Series 175, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    9. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    10. Hilde C. Bjornland & Jamie L. Cross & Felix Kapfhammer, 2023. "The Drivers of Emission Reductions in the European Carbon Market," CAMA Working Papers 2023-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1012-1035, December.
    12. Bent Jesper Christensen & Olaf Posch & Michel van der Wel, 2014. "Estimating Dynamic Equilibrium Models Using Mixed Frequency Macro and Financial Data," CESifo Working Paper Series 5030, CESifo.
    13. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    14. Agostino Consolo & Claudia Foroni & Catalina Martínez Hernández, 2023. "A Mixed Frequency BVAR for the Euro Area Labour Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1048-1082, October.
    15. Norberto Rodríguez-Niño & Alejandra Ramírez-Ramírez, 2018. "Metodologías semi-estructurales para estimar la Inflación básica mensual en Colombia," Borradores de Economia 1040, Banco de la Republica de Colombia.

  6. Stephen Burgess & Emilio Fernandez-Corugedo & Charlotta Groth & Richard Harrison & Francesca Monti & Konstantinos Theodoridis & Matt Waldron, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.

    Cited by:

    1. David Hendry & Andrew B. Martinez, 2016. "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers 784, University of Oxford, Department of Economics.
    2. Stephen Burgess & Oliver Burrows & Antoine Godin & Stephen Kinsella & Stephen Millard, 2016. "A dynamic model of financial balances for the United Kingdom," Bank of England working papers 614, Bank of England.
    3. Venetia Bell & Lai Wah Co & Sophie Stone & gavin` Wallis, 2014. "Nowcasting UK GDP growth," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 58-68.
    4. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model uncertainty in macroeconomics: On the implications of financial frictions," IMFS Working Paper Series 114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    5. Tony Hall & Jan Jacobs & Adrian Pagan, 2013. "Macro-Econometric System Modelling @75," CAMA Working Papers 2013-67, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Macaluso, Delia Sih Chien & Mcmahon, Michael, 2023. "MPC monetary communication: Children of the revolution(s)," CEPR Discussion Papers 17929, C.E.P.R. Discussion Papers.
    7. Callum Jones & Mariano Kulish & Daniel M. Rees, 2018. "International Spillovers of Forward Guidance Shocks," IMF Working Papers 2018/114, International Monetary Fund.
    8. Noel Rapa, 2016. "MEDSEA : a small open economy DSGE model for Malta," CBM Working Papers WP/05/2016, Central Bank of Malta.
    9. Caputo, Rodrigo & Herrera, Luis Oscar, 2017. "Following the leader? The relevance of the Fed funds rate for inflation targeting countries," Journal of International Money and Finance, Elsevier, vol. 71(C), pages 25-52.
    10. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    11. Haberis, Alex & Harrison, Richard & Waldron, Matt, 2014. "Transitory interest-rate pegs under imperfect credibility," LSE Research Online Documents on Economics 86335, London School of Economics and Political Science, LSE Library.
    12. David Aikman & Julia Giese & Sujit Kapadia & Michael McLeay, 2023. "Targeting Financial Stability: Macroprudential or Monetary Policy?," International Journal of Central Banking, International Journal of Central Banking, vol. 19(1), pages 159-242, March.
    13. Slacalek, Jiri & Sommer, Martin & Carroll, Christopher, 2012. "Dissecting saving dynamics: measuring wealth, precautionary and credit effects," Working Paper Series 1474, European Central Bank.
    14. Hendry, David F., 2018. "Deciding between alternative approaches in macroeconomics," International Journal of Forecasting, Elsevier, vol. 34(1), pages 119-135.
    15. Michael McLeay & Silvana Tenreyro, 2018. "Optimal Inflation and the Identification of the Phillips Curve," Discussion Papers 1815, Centre for Macroeconomics (CFM).
    16. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    17. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
    18. Baker, Jessica & Carreras, Oriol & Kirby, Simon & Meaning, Jack & Piggott, Rebecca, 2016. "Modelling events: The short-term economic impact of leaving the EU," Economic Modelling, Elsevier, vol. 58(C), pages 339-350.
    19. Paul Hubert & Becky Maule, 2016. "Policy and macro signals as inputs to inflation expectation formation," Bank of England working papers 581, Bank of England.
    20. Shiv Chowla & Lucia Quaglietti & Lukasz Rachel, 2014. "How have world shocks affected the UK economy?," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 167-179.
    21. Nick Butt & Alice Pugh, 2014. "Credit spreads: capturing credit conditions facing households and firms," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 137-148.
    22. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    23. Trung Duc Nguyen & Lanh Kim Trieu & Anh Hoang Le, 2024. "The monetary policy of the State Bank of Vietnam, households and income distribution: the evidence from DSGE model," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 16(4), pages 463-482, May.
    24. David Aikman & Kristina Bluwstein & Sudipto Karmakar, 2021. "A tail of three occasionally-binding constraints: a modelling approach to GDP-at-Risk," Bank of England working papers 931, Bank of England.
    25. Richard Harrison, 2021. "Flexible inflation targeting with active fiscal policy," Bank of England working papers 928, Bank of England.
    26. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    27. Neroli Austin & Geordie Reid, 2017. "NZSIM: A model of the New Zealand economy for forecasting and policy analysis," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 80, pages 1-14, January.
    28. John Muellbauer, 2016. "Macroeconomics and Consumption," Economics Series Working Papers Paper-811, University of Oxford, Department of Economics.
    29. Georgiadis, Georgios & Mösle, Saskia, 2019. "Introducing dominant currency pricing in the ECB's global macroeconomic model," Kiel Working Papers 2136, Kiel Institute for the World Economy (IfW Kiel).
    30. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    31. Vadym Lepetyuk & Lilia Maliar & Serguei Maliar, 2017. "Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?," Staff Working Papers 17-21, Bank of Canada.
    32. Harrison, Ricahrd, 2014. "Estimating the effects of forward guidance in rational expectations models," LSE Research Online Documents on Economics 86327, London School of Economics and Political Science, LSE Library.
    33. Richard Harrison, 2014. "Estimating the Effects of Forward Guidance in Rational Expectations Models," Discussion Papers 1429, Centre for Macroeconomics (CFM).
    34. David F Hendry & John N J Muellbauer, 2018. "The future of macroeconomics: macro theory and models at the Bank of England," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 287-328.
    35. Simona Malovana & Josef Bajzik & Dominika Ehrenbergerova & Jan Janku, 2020. "A Prolonged Period of Low Interest Rates: Unintended Consequences," Research and Policy Notes 2020/02, Czech National Bank, Research and Statistics Department.
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    55. Richard Harrison & Matt Waldron, 2021. "Optimal policy with occasionally binding constraints: piecewise linear solution methods," Bank of England working papers 911, Bank of England.
    56. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
    57. Francisco Louçã & Alexandre Abreu & Gonçalo Pessa Costa, 2021. "Disarray at the headquarters: Economists and Central bankers tested by the subprime and the COVID recessions [Forward guidance without common knowledge]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 273-296.
    58. de Groot, Oliver & Haas, Alexander, 2023. "The signalling channel of negative interest rates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 87-103.
    59. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    60. Andrea Ferrero & Richard Harrison & Benjamin Nelson, 2024. "House Price Dynamics, Optimal LTV Limits and the Liquidity Trap," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 940-971.
    61. Ásgeir Daníelsson & Bjarni G. Einarsson & Magnús F. Guðmundsson & Svava J. Haraldsdóttir & Thórarinn G. Pétursson & Signý Sigmundardóttir & Jósef Sigurðarson & Rósa Sveinsdóttir, 2015. "QMM - A Quarterly Macroeconomic Model of the Icelandic Economy," Economics wp71, Department of Economics, Central bank of Iceland.
    62. Sergiy Nikolaychuk & Yurii Sholomytskyi, 2015. "Using Macroeconomic Models for Monetary Policy in Ukraine," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 233, pages 54-64.
    63. Adam Goliński & Peter Spencer, 2021. "Modeling the Covid‐19 epidemic using time series econometrics," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2808-2828, November.
    64. Samvel S. Lazaryan & Evgenii V. Mayorov, 2018. "Prospects for the Use of DSGE Models by Finance Ministries: The Experience of Global Regulators," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 70-82, October.
    65. Alban Moura, 2020. "LED: An estimated DSGE model of the Luxembourg economy for policy analysis," BCL working papers 147, Central Bank of Luxembourg.
    66. Galvão, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2021. "Does judgment improve macroeconomic density forecasts?," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1247-1260.
    67. Michael Chin & Thomai Filippeli & Konstantinos Theodoridis, 2015. "Cross-country co-movement in long-term interest rates: a DSGE approach," Bank of England working papers 530, Bank of England.
    68. Katerina Petrova & George Kapetanios & Riccardo Masolo & Matthew Waldron, 2017. "A time varying parameter structural model of the UK economy," Bank of England working papers 677, Bank of England.
    69. Naohisa Hirakata & Kazutoshi Kan & Akihiro Kanafuji & Yosuke Kido & Yui Kishaba & Tomonori Murakoshi & Takeshi Shinohara, 2019. "The Quarterly Japanese Economic Model (Q-JEM): 2019 version," Bank of Japan Working Paper Series 19-E-7, Bank of Japan.
    70. King, Philip & Millard, Stephen, 2014. "Modelling the service sector," LSE Research Online Documents on Economics 58234, London School of Economics and Political Science, LSE Library.
    71. Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
    72. Robert Calvert Jump & Engelbert Stockhammer, 2019. "Reconsidering the natural rate hypothesis," FMM Working Paper 45-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    73. Dieppe, Alistair & Georgiadis, Georgios & Ricci, Martino & Van Robays, Ine & van Roye, Björn, 2018. "ECB-Global: Introducing the ECB's global macroeconomic model for spillover analysis," Economic Modelling, Elsevier, vol. 72(C), pages 78-98.
    74. Lepetyuk, Vadym & Maliar, Serguei, 2019. "When the U.S. catches a cold, Canada sneezes: a lower-bound tale told by deep learning," CEPR Discussion Papers 14025, C.E.P.R. Discussion Papers.
    75. Jaromir Tonner, 2022. "Current trends in macroeconomic modelling in central banks in light of the turbulent nature of recent events," Occasional Publications - Chapters in Edited Volumes, in: CNB Global Economic Outlook - July 2022, pages 14-20, Czech National Bank, Research and Statistics Department.
    76. Kristin Forbes & Lewis Kirkham & Konstantinos Theodoridis, 2017. "A trendy approach to UK inflation dynamics," Discussion Papers 49, Monetary Policy Committee Unit, Bank of England.
    77. Marc Hinterschweiger & Kunal Khairnar & Tolga Ozden & Tom Stratton, 2021. "Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates," Bank of England working papers 904, Bank of England.
    78. Will Dison & Konstantinos Theodoridis, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
    79. Chávez, Ricardo & García, Carlos J., 2016. "Reforma tributaria en fases," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(330), pages .275-310, abril-jun.
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    81. Juan Acosta & Beatrice Cherrier & François Claveau & Clément Fontan & Aurélien Goutsmedt & Francesco Sergi, 2023. "Six Decades of Economic Research at the Bank of England," Post-Print hal-03919394, HAL.
    82. David F. Hendry, 2020. "A Short History of Macro-econometric Modelling," Economics Papers 2020-W01, Economics Group, Nuffield College, University of Oxford.
    83. Duffy, John & Li, Yue, 2019. "Lifecycle consumption under different income profiles: Evidence and theory," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 74-94.
    84. Juan Guerra-Salas & Markus Kirchner & Rodrigo Tranamil, 2020. "Online Appendix to "Search Frictions and the Business Cycle in a Small Open Economy DSGE Model"," Online Appendices 18-407, Review of Economic Dynamics.
    85. Simona Malovaná & Josef Bajzík & Dominika Ehrenbergerová & Jan Janků, 2023. "A prolonged period of low interest rates in Europe: Unintended consequences," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 526-572, April.
    86. Philip Bunn & Alice Pugh & Chris Yeates, 2018. "The distributional impact of monetary policy easing in the UK between 2008 and 2014," Bank of England working papers 720, Bank of England.
    87. Balatti, Mirco, 2020. "Inflation volatility in small and large advanced open economies," Working Paper Series 2448, European Central Bank.
    88. 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.
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    93. Darracq Pariès, Matthieu & Notarpietro, Alessandro & Kilponen, Juha & Papadopoulou, Niki & Zimic, Srečko & Aldama, Pierre & Langenus, Geert & Alvarez, Luis Julian & Lemoine, Matthieu & Angelini, Elena, 2021. "Review of macroeconomic modelling in the Eurosystem: current practices and scope for improvement," Occasional Paper Series 267, European Central Bank.
    94. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2019. "Forecasting the UK economy with a medium-scale Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1669-1678.
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    97. Sílvia Domit & Francesca Monti & Andrej Sokol, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
    98. Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.
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  7. Francesca Monti, 2008. "Forecast with judgment and models," Working Paper Research 153, National Bank of Belgium.

    Cited by:

    1. Maxym Kryshko & Frank Schorfheide & Keith Sill, 2008. "DSGE model-based forecasting of non-modelled variables," Working Papers 08-17, Federal Reserve Bank of Philadelphia.
    2. Shaun de Jager & Michael Johnston & Rudi Steinbach, 2015. "A Revised Quarterly Projection Model for South Africa," Working Papers 6839, South African Reserve Bank.
    3. Lin, Jilei & Eck, Daniel J., 2021. "Minimizing post-shock forecasting error through aggregation of outside information," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1710-1727.

Articles

  1. Meeks, Roland & Monti, Francesca, 2023. "Heterogeneous beliefs and the Phillips curve," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 41-54.
    See citations under working paper version above.
  2. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022. "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
    See citations under working paper version above.
  3. Riccardo M Masolo & Francesca Monti, 2021. "Ambiguity, Monetary Policy and Trend Inflation," Journal of the European Economic Association, European Economic Association, vol. 19(2), pages 839-871.
    See citations under working paper version above.
  4. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2019. "Forecasting the UK economy with a medium-scale Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1669-1678.

    Cited by:

    1. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    2. Walid Mansour & Hechem Ajmi & Karima Saci, 2022. "Regulatory policies in the global Islamic banking sector in the outbreak of COVID-19 pandemic," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(3), pages 265-287, September.
    3. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
    4. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    5. Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024. "Forecasting UK inflation bottom up," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
    6. Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    7. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
    8. Jinshun Wu & Luyao Wu, 2024. "Bayesian Local Likelihood Estimation of Time-Varying DSGE Models: Allowing for Indeterminacy," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2437-2476, October.
    9. Siphat Lim & Edman Flores & Casey Barnett, 2024. "Analyzing the Effectiveness of a System of Equation Model in Comparison to Single Equation Models for Predicting General Price Level in Cambodia," International Journal of Economics and Financial Issues, Econjournals, vol. 14(5), pages 156-166, September.
    10. Chalmovianský, Jakub & Porqueddu, Mario & Sokol, Andrej, 2020. "Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area," Working Paper Series 2501, European Central Bank.
    11. Paolo Gelain & Simone Manganelli, 2020. "Monetary Policy with Judgment," Working Papers 20-14, Federal Reserve Bank of Cleveland.

  5. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2016. "Exploiting the monthly data flow in structural forecasting," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 201-215.
    See citations under working paper version above.
  6. Francesca Monti, 2010. "Combining Judgment and Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1641-1662, December.

    Cited by:

    1. Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolás Moreno-Arias & Sara Naranjo-Saldarriaga, 2021. "Unraveling the Exogenous Forces Behind Analysts’ Macroeconomic Forecasts," Borradores de Economia 1184, Banco de la Republica de Colombia.
    2. 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.
    3. Thorsten Drautzburg, 2023. "A Structural Approach to Combining External and DSGE Model Forecasts," Working Papers 23-10, Federal Reserve Bank of Philadelphia.
    4. Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
    5. Carlos Madeira & João Madeira & Paulo Santos Monteiro, 2023. "The origins of monetary policy disagreement: the role of supply and demand shocks," Working Papers Central Bank of Chile 993, Central Bank of Chile.
    6. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    7. 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).
    8. Raffaella Giacomini & Barbara Rossi, 2015. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Working Papers 819, Barcelona School of Economics.
    9. Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
    10. Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
    11. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2014. "Exploiting the monthly data-flow in structural forecasting," LSE Research Online Documents on Economics 57998, London School of Economics and Political Science, LSE Library.
    12. Stephen Burgess & Emilio Fernandez-Corugedo & Charlotta Groth & Richard Harrison & Francesca Monti & Konstantinos Theodoridis & Matt Waldron, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    13. Yuliya Rychalovska & Sergey Slobodyan & Raf Wouters, 2024. "Survey Expectations, Adaptive Learning and Inflation Dynamics," CERGE-EI Working Papers wp781, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    14. Paolo Gelain & Simone Manganelli, 2020. "Monetary Policy with Judgment," Working Papers 20-14, Federal Reserve Bank of Cleveland.
    15. Zanetti Chini, Emilio, 2025. "Judgment can spur long memory," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).

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