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Francesca Monti

Personal Details

First Name:Francesca
Middle Name:
Last Name:Monti
Suffix:
RePEc Short-ID:pmo727
https://sites.google.com/site/francescamonti
Terminal Degree:2011 European Centre for Advanced Research in Economics and Statistics (ECARES); Solvay Brussels School of Economics and Management; Université Libre de Bruxelles (from RePEc Genealogy)

Affiliation

(95%) Center for Operations Research and Econometrics (CORE)
Louvain Institute of Data Analysis and Modelling in Economics and Statistics (LIDAM)
Université Catholique de Louvain

Louvain-la-Neuve, Belgium
http://www.uclouvain.be/en-core.html
RePEc:edi:coreebe (more details at EDIRC)

(5%) Business School
King's College London

London, United Kingdom
http://www.kcl.ac.uk/business
RePEc:edi:dmkcluk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
  2. Meeks, Roland & Monti, Francesca, 2019. "Heterogeneous beliefs and the Phillips curve," Bank of England working papers 807, Bank of England.
  3. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
  4. Masolo, Riccardo & Monti, Francesca, 2015. "Ambiguity, monetary policy and trend inflation," Bank of England working papers 565, Bank of England.
  5. Riccardo M. Masolo & Francesca Monti, 2015. "Monetary Policy with Ambiguity Averse Agents," Discussion Papers 1506, Centre for Macroeconomics (CFM).
  6. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
  7. Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2014. "Exploiting the monthly data-flow in structural forecasting," Discussion Papers 1416, Centre for Macroeconomics (CFM).
  8. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 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.
  9. Francesca Monti, 2011. "Combining structural and reduced-form models for macroeconomic forecasting and policy analysis," ULB Institutional Repository 2013/209970, ULB -- Universite Libre de Bruxelles.
  10. Francesca Monti, 2008. "Forecast with judgment and models," Working Paper Research 153, National Bank of Belgium.

Articles

  1. 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.
  2. 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.
  3. 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.
  4. Francesca Monti, 2010. "Combining Judgment and Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1641-1662, December.

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. Giannone, Domenico & Monti , Francesca & Reichlin , Lucrezia, 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. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.

    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. 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.
    3. 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.
    4. 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.
    5. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    6. 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.
    7. Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Working Papers hal-03573080, HAL.
    8. 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.

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

    Cited by:

    1. Tsiaplias, Sarantis, 2020. "Time-Varying Consumer Disagreement and Future Inflation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    2. Ellison, Martin & Macaulay, Alistair, 2019. "A Rational Inattention Unemployment Trap," CEPR Discussion Papers 13761, C.E.P.R. Discussion Papers.
    3. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org.

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

    Cited by:

    1. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    2. 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.
    3. 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.
    4. 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.
    5. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    6. Ian Borg & Germano Ruisi, 2018. "Forecasting using Bayesian VARs: A Benchmark for STREAM," CBM Working Papers WP/04/2018, Central Bank of Malta.

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

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Yoo, Donghoon, 2019. "Ambiguous information, permanent income, and consumption fluctuations," European Economic Review, Elsevier, vol. 119(C), pages 79-96.
    5. Michelacci, Claudio & Paciello, Luigi, 2020. "Aggregate Risk or Aggregate Uncertainty? Evidence from UK Households," CEPR Discussion Papers 14557, C.E.P.R. Discussion Papers.
    6. 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," Discussion Papers 1416, Centre for Macroeconomics (CFM).

    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. "Developments on the Bayesian Structural Time Series Model: Trending Growth," Papers 2011.00938, arXiv.org.
    4. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    5. 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.
    6. 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.
    7. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    8. 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. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 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. Burgess, Stephen & Burrows, Oliver & Godin, Antoine & Kinsella, Stephen & Millard, Stephen, 2016. "A dynamic model of financial balances for the United Kingdom," Bank of England working papers 614, Bank of England.
    3. Bell, Venetia & Co, Lai Wah & Stone, Sophie & Wallis, gavin`, 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. Callum Jones & Mariano Kulish & Daniel M. Rees, 2018. "International Spillovers of Forward Guidance Shocks," IMF Working Papers 2018/114, International Monetary Fund.
    7. Noel Rapa, 2016. "MEDSEA : a small open economy DSGE model for Malta," CBM Working Papers WP/05/2016, Central Bank of Malta.
    8. 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.
    9. 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.
    10. 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.
    11. Slacalek, Jiri & Sommer, Martin & Carroll, Christopher, 2012. "Dissecting saving dynamics: measuring wealth, precautionary and credit effects," Working Paper Series 1474, European Central Bank.
    12. Hendry, David F., 2018. "Deciding between alternative approaches in macroeconomics," International Journal of Forecasting, Elsevier, vol. 34(1), pages 119-135.
    13. Michael McLeay & Silvana Tenreyro, 2018. "Optimal Inflation and the Identification of the Phillips Curve," Discussion Papers 1815, Centre for Macroeconomics (CFM).
    14. 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.
    15. 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.
    16. Hubert, Paul & Maule, Becky, 2016. "Policy and macro signals as inputs to inflation expectation formation," Bank of England working papers 581, Bank of England.
    17. Chowla, Shiv & Quaglietti, Lucia & Rachel, Lukasz, 2014. "How have world shocks affected the UK economy?," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 167-179.
    18. Butt, Nick & Pugh, Alice, 2014. "Credit spreads: capturing credit conditions facing households and firms," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 137-148.
    19. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    20. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    21. 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.
    22. John Muellbauer, 2016. "Macroeconomics and Consumption," Economics Series Working Papers Paper-811, University of Oxford, Department of Economics.
    23. 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).
    24. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    25. 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.
    26. 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.
    27. Richard Harrison, 2014. "Estimating the Effects of Forward Guidance in Rational Expectations Models," Discussion Papers 1429, Centre for Macroeconomics (CFM).
    28. 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, vol. 34(1-2), pages 287-328.
    29. Galvao, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2020. "Does Judgment Improve Macroeconomic Density Forecasts?," EMF Research Papers 33, Economic Modelling and Forecasting Group.
    30. Haberis, Alex & Harrison, Richard & Waldron, Matthew, 2017. "Uncertain forward guidance," Bank of England working papers 654, Bank of England.
    31. Christopher G Gibbs & Jonathan Hambur & Gabriela Nodari, 2018. "DSGE Reno: Adding a Housing Block to a Small Open Economy Model," RBA Research Discussion Papers rdp2018-04, Reserve Bank of Australia.
    32. Jump, Robert & Mendieta-Muñoz, Ivan, 2016. "Wage led aggregate demand in the United Kingdom," Economics Discussion Papers 2016-4, School of Economics, Kingston University London.
    33. Haberis, Alex & Masolo, Riccardo & Reinold, Kate, 2016. "Deflation probability and the scope for monetary loosening in the United Kingdom," Bank of England working papers 627, Bank of England.
    34. John Duffy & Yue Li, 2016. "Lifecycle Consumption Under Different Income Profiles: Experimental Evidence," Working Papers 161702, University of California-Irvine, Department of Economics.
    35. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2017. "Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models," Econometrica, Econometric Society, vol. 85, pages 991-1012, May.
    36. Michelle Lewis & C. John McDermott, 2016. "New Zealand's experience with changing its inflation target and the impact on inflation expectations," New Zealand Economic Papers, Taylor & Francis Journals, vol. 50(3), pages 343-361, September.
    37. Fawcett, Nicholas & Koerber, Lena & Masolo, Riccardo & Waldron, Matthew, 2015. "Evaluating UK point and density forecasts from an estimated DSGE model: the role of off-model information over the financial crisis," Bank of England working papers 538, Bank of England.
    38. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    39. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    40. Pinter, Gabor, 2015. "House prices and job losses," LSE Research Online Documents on Economics 86318, London School of Economics and Political Science, LSE Library.
    41. Groom, Ben & Maddison, David, 2018. "New estimates of the elasticity of marginal utility for the UK," LSE Research Online Documents on Economics 87526, London School of Economics and Political Science, LSE Library.
    42. L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," ISER Discussion Paper 1093, Institute of Social and Economic Research, Osaka University.
    43. Kristin Forbes, 2018. "Monetary Policy at the Effective Lower Bound: Less Potent? More International? More Sticky?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(2 (Fall)), pages 521-541.
    44. Harrison, Richard & Waldron, Matt, 2021. "Optimal policy with occasionally binding constraints: piecewise linear solution methods," Bank of England working papers 911, Bank of England.
    45. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
    46. 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.
    47. 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.
    48. de Groot, Oliver & Haas, Alexander, 2019. "The Signalling Channel of Negative Interest Rates," MPRA Paper 95479, University Library of Munich, Germany.
    49. 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, September.
    50. 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.
    51. 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 127006, Russia, issue 5, pages 70-82, October.
    52. Chin, Michael & Filippeli, Thomai & Theodoridis, Konstantinos, 2015. "Cross-country co-movement in long-term interest rates: a DSGE approach," Bank of England working papers 530, Bank of England.
    53. Petrova, Katerina & Kapetanios, George & Masolo, Riccardo & Waldron, Matthew, 2017. "A time varying parameter structural model of the UK economy," Bank of England working papers 677, Bank of England.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
    59. Lepetyuk, Vadym & Maliar, Lilia & 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.
    60. Takeshi Yagihashi, 2020. "DSGE Models Used by Policymakers: A Survey," Discussion papers ron333, Policy Research Institute, Ministry of Finance Japan.
    61. Forbes, Kristin & Kirkham, Lewis & Theodoridis, Konstantinos, 2017. "A trendy approach to UK inflation dynamics," Discussion Papers 49, Monetary Policy Committee Unit, Bank of England.
    62. Hinterschweiger, Marc & Khairnar, Kunal & Ozden, Tolga & Stratton, Tom, 2021. "Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates," Bank of England working papers 904, Bank of England.
    63. Dison, Will & Theodoridis, Konstantinos, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
    64. 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.
    65. Chin, Michael & Graeve, Ferre De & Filippeli, Thomai & Theodoridis, Konstantinos, 2018. "Understanding International Long-Term Interest Rate Comovement," Cardiff Economics Working Papers E2018/19, Cardiff University, Cardiff Business School, Economics Section.
    66. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    67. Aikman, David & Giese, Julia & Kapadia, Sujit & McLeay, Michael, 2018. "Targeting financial stability: macroprudential or monetary policy?," Bank of England working papers 734, Bank of England.
    68. David F. Hendry, 2020. "A Short History of Macro-econometric Modelling," Economics Papers 2020-W01, Economics Group, Nuffield College, University of Oxford.
    69. 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.
    70. Bunn, Philip & Pugh, Alice & Yeates, Chris, 2018. "The distributional impact of monetary policy easing in the UK between 2008 and 2014," Bank of England working papers 720, Bank of England.
    71. Adam Golinski & Peter Spencer, 2020. "Modeling the Covid-19 Epidemic Using Time Series Econometrics," Discussion Papers 20/06, Department of Economics, University of York.
    72. 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.
    73. Aleksandra Babii, 2019. "Exchange Rates Co-movement and International Trade," 2019 Meeting Papers 1150, Society for Economic Dynamics.
    74. Markus Kirchner & Rodrigo Tranamil, 2016. "Calvo Wages Vs. Search Frictions: a Horse Race in a DSGE Model of a Small Open Economy," Working Papers Central Bank of Chile 778, Central Bank of Chile.
    75. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    76. Millard, Stephen, 2015. "The Great Recession and the UK labour market," Bank of England working papers 566, Bank of England.
    77. 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.
    78. Jan Filacek & Ivan Sutoris, 2019. "Inflation Targeting Flexibility: The CNB's Reaction Function under Scrutiny," Research and Policy Notes 2019/02, Czech National Bank.
    79. Hackworth, Christopher & Radia, Amar & Roberts, Nyssa, 2013. "Understanding the MPC’s forecast performance since mid-2010," Bank of England Quarterly Bulletin, Bank of England, vol. 53(4), pages 336-350.
    80. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
    81. Silvio Michael de Azevedo Costa, 2016. "Structural Trends and Cycles in a DSGE Model for Brazil," Working Papers Series 434, Central Bank of Brazil, Research Department.
    82. Warapong Wongwachara & Bovonvich Jindarak & Nuwat Nookhwun & Sophon Tunyavetchakit & Chutipha Klungjaturavet, 2018. "Integrating Monetary Policy and Financial Stability: A New Framework," PIER Discussion Papers 100, Puey Ungphakorn Institute for Economic Research.
    83. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    84. Aquilante, Tommaso & Chowla, Shiv & Dacic, Nikola & Haldane, Andrew & Masolo, Riccardo & Schneider, Patrick & Seneca, Martin & Tatomir, Srdan, 2019. "Market power and monetary policy," Bank of England working papers 798, Bank of England.

  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. 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.
  2. 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. 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.
    3. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    4. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    5. 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.
    6. Paolo Gelain & Simone Manganelli, 2020. "Monetary Policy with Judgment," Working Papers 20-14, Federal Reserve Bank of Cleveland.
    7. Joseph, Andreas & Kalamara, Eleni & Kapetanios, George & Potjagailo, Galina, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England.

  3. 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.
  4. 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. 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.
    4. 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).
    5. Raffaella Giacomini & Barbara Rossi, 2014. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Working Papers 819, Barcelona Graduate School of Economics.
    6. 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.
    7. 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.
    8. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 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.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 17 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (14) 2013-06-16 2014-07-21 2014-10-03 2015-02-05 2015-03-22 2015-12-01 2015-12-12 2016-01-29 2017-02-26 2017-09-03 2018-01-22 2019-08-12 2020-08-31 2021-05-10. Author is listed
  2. NEP-DGE: Dynamic General Equilibrium (8) 2008-12-21 2014-10-03 2015-02-05 2015-02-28 2015-04-02 2015-12-12 2017-09-03 2018-01-22. Author is listed
  3. NEP-FOR: Forecasting (8) 2008-12-21 2013-06-16 2014-07-21 2015-02-05 2015-12-12 2016-01-29 2020-08-31 2021-05-10. Author is listed
  4. NEP-CBA: Central Banking (6) 2008-12-21 2015-03-22 2015-12-01 2017-02-26 2017-09-03 2018-01-22. Author is listed
  5. NEP-MON: Monetary Economics (6) 2013-06-16 2015-03-22 2015-12-01 2017-02-26 2017-09-03 2018-01-22. Author is listed
  6. NEP-ETS: Econometric Time Series (5) 2008-12-21 2014-10-03 2015-12-12 2016-01-29 2020-08-31. Author is listed
  7. NEP-ORE: Operations Research (4) 2014-10-03 2015-04-02 2015-12-12 2021-05-10
  8. NEP-ECM: Econometrics (3) 2008-12-21 2014-07-21 2015-02-28
  9. NEP-BIG: Big Data (2) 2020-08-31 2021-05-10
  10. NEP-UPT: Utility Models & Prospect Theory (2) 2015-03-22 2015-12-01

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