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Domenico Giannone

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. Marc Giannoni & Domenico Giannone & Andrea Tambalotti & Marco Del Negro, 2017. "Safety, Liquidity, and the Natural Rate of Interest," 2017 Meeting Papers 803, Society for Economic Dynamics.

    Mentioned in:

    1. What’s happened so far with the return on safe and liquid assets?
      by ? in FRED blog on 2020-08-31 13:00:00
  2. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Vulnerable Growth," American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.

    Mentioned in:

    1. Possible pitfalls of a 1-in-X approach to financial stability
      by BankUnderground in Bank Underground on 2020-02-06 09:00:00
  3. Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.

    Mentioned in:

    1. Così l’invecchiamento abbassa i tassi di interesse
      by Andrea Papetti in La Voce on 2021-05-25 21:55:46
  4. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.

    Mentioned in:

    1. Time-Varying Dynamic Factor Loadings
      by Francis Diebold in No Hesitations on 2016-01-20 23:32:00
  5. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2008. "Business Cycles in the Euro Area," NBER Working Papers 14529, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. 34. Notable Women researchers on Economics
      by Euro American Association EAAEDS in Euro-American Association: World Development on 2018-10-09 19:52:00
  6. 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
  7. 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
  8. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.

    Mentioned in:

    1. Just Released: Historical Reconstruction of the New York Fed Staff Nowcast, 2002-15
      by Blog Author in Liberty Street Economics on 2019-07-12 15:27:59
    2. GDPNow's Forecast: Why Did It Spike Recently?
      by macroblog in Macroblog on 2018-02-13 18:29:31
    3. The "Scariest Spreadsheet In Fed Possession" Just Revealed A Very Scary Number For Q2 GDP
      by Tyler Durden in Zero Hedge on 2015-05-01 00:03:58

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Laura Coroneo & Domenico Giannone & Michele Modugno, 2014. "Unspanned macroeconomic factors in the yield curve," Finance and Economics Discussion Series 2014-57, Board of Governors of the Federal Reserve System (U.S.).

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models
  2. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting
  3. Antonello D'Agostino & Luca Gambetti & Domenico Giannone, 2013. "Macroeconomic forecasting and structural change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 82-101, January.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Time Varying Parameters and Stochastic Volatility
  4. Domenico Giannone & Lucrezia Reichlin, 2006. "Does information help recovering structural shocks from past observations?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 455-465, 04-05.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models
  5. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting
    2. > Econometrics > Big Data
  6. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models
    2. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  7. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models
  8. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.

    Mentioned in:

    1. > Econometrics > Forecasting
    2. > Econometrics > Forecasting > Nowcasting
    3. > Econometrics > Time Series Models > Dynamic Factor Models
  9. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models
  10. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006. "VARs, common factors and the empirical validation of equilibrium business cycle models," Journal of Econometrics, Elsevier, vol. 132(1), pages 257-279, May.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models
  11. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. > Econometrics > Big Data
  12. Domenico Giannone & Lucrezia Reichlin & Luca Sala, 2005. "Monetary Policy in Real Time," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 161-224, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models
  13. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models
    2. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  14. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  15. Primiceri, Giorgio & Giannone, Domenico & Lenza, Michele, 2016. "Priors for the Long Run," CEPR Discussion Papers 11261, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.

    Mentioned in:

    1. A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models (REStat 2012) in ReplicationWiki ()
  2. Antonello D'Agostino & Luca Gambetti & Domenico Giannone, 2013. "Macroeconomic forecasting and structural change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 82-101, January.

    Mentioned in:

    1. Macroeconomic forecasting and structural change (Journal of Applied Econometrics 2013) in ReplicationWiki ()
  3. Marta Bañbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Nowcasting," Working Papers ECARES ECARES 2010-021, ULB -- Universite Libre de Bruxelles.

    Mentioned in:

    1. Nowcasting (economics) in Wikipedia (English)
  4. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.

    Mentioned in:

    1. Large Bayesian vector auto regressions (Journal of Applied Econometrics 2011) in ReplicationWiki ()

Working papers

  1. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2025. "Nowcasting with large Bayesian vector autoregressions," LIDAM Reprints CORE 3331, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    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. Urmat Dzhunkeev, 2025. "MOSES: Macroeconomic Forecasting with Models and Sentiment Synthesis," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 63-84, December.
    3. 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.).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    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. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    14. 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.
    15. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    16. 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.
    17. 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.
    18. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    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. 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.
    21. 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).
    22. Bjarni G. Einarsson, 2024. "Online Monitoring of Policy Optimality," Economics wp95, Department of Economics, Central bank of Iceland.
    23. 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.
    24. 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.
    25. Daniel Felix Ahelegbey, 2025. "Inference of Impulse Responses via Bayesian Graphical Structural VAR Models," Econometrics, MDPI, vol. 13(2), pages 1-20, April.
    26. Lenza, Michele & Savoia, Ettore, 2024. "Do we need firm data to understand macroeconomic dynamics?," Working Paper Series 438, Sveriges Riksbank (Central Bank of Sweden).
    27. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    28. 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.
    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. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2023. "Testing big data in a big crisis: Nowcasting under Covid-19," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1548-1563.
    39. 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. Tobias Adrian & Domenico Giannone & Matteo Luciani & Mike West, 2025. "Scenario Synthesis and Macroeconomic Risk," Papers 2505.05193, arXiv.org.

    Cited by:

    1. Gino Cateau & Don Coletti & Annie Portelance, 2025. "From models to communications: strenghtening risk management in monetary policy at the Bank of Canada," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy decision-making and communication under high uncertainty, volume 127, pages 51-58, Bank for International Settlements.

  3. Gara Afonso & Domenico Giannone & Gabriele La Spada & John C. Williams, 2024. "When Are Central Bank Reserves Ample?," Liberty Street Economics 20240813, Federal Reserve Bank of New York.

    Cited by:

    1. Altavilla, Carlo & Boucinha, Miguel & Burlon, Lorenzo & Giannetti, Mariassunta & Schumacher, Julian, 2025. "Central bank liquidity reallocation and bank lending: Evidence from the tiering system," Journal of Financial Economics, Elsevier, vol. 168(C).

  4. Giannone, Domenico & Primiceri, Giorgio, 2024. "The drivers of post-pandemic inflation," CEPR Discussion Papers 19377, C.E.P.R. Discussion Papers.

    Cited by:

    1. Stefan Hohberger, 2025. "Germany’s macroeconomic drivers during the pandemic and inflation surge," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-49, February.
    2. Mountford, Andrew, 2025. "Identifying the Shocks also Identifies the Constants: Implications for VAR analysis," MPRA Paper 126806, University Library of Munich, Germany.
    3. Fukunaga, Ichiro & Kido, Yosuke & Suita, Kotaro, 2025. "Japan's inflation under global inflation synchronization," Journal of the Japanese and International Economies, Elsevier, vol. 77(C).
    4. Hale, Galina & Leer, John & Nechio, Fernanda, 2025. "Fiscal policy design and inflation: The COVID-19 pandemic experience," Journal of International Money and Finance, Elsevier, vol. 150(C).
    5. Alessandri, Piergiorgio & Gazzani, Andrea, 2025. "Natural gas and the macroeconomy: Not all energy shocks are alike," Journal of Monetary Economics, Elsevier, vol. 151(C).
    6. Anttonen, Jetro & Lehmus, Markku, 2025. "Geopolitical surprises and macroeconomic shocks: A tale of two events," Bank of Finland Research Discussion Papers 5/2025, Bank of Finland.
    7. José García Revelo & Jean-Guillaume Sahuc & Grégory Levieuge, 2025. "Revisiting 15 Years of Unusual Transatlantic Monetary Policies," Working papers 1018, Banque de France.
    8. Kurozumi, Takushi & Van Zandweghe, Willem, 2025. "Supply shocks, employment gap, and monetary policy," European Economic Review, Elsevier, vol. 177(C).
    9. Mavrodimitrakis, Christos, 2025. "The macroeconomic stabilisation and welfare implications of alternative strategic and fiscal regimes in a monetary union," The Quarterly Review of Economics and Finance, Elsevier, vol. 100(C).
    10. Ferrari Minesso, Massimo & Van Robays, Ine & Cassinis, Maria Giulia, 2025. "Supply shocks and inflation: timely insights from financial markets," Working Paper Series 3096, European Central Bank.
    11. Zhu, Xiaoke & Yu, Xiaohua, 2025. "Food inflation and macroeconomic dynamics in the US: Evidence from an estimated DSGE model," Finance Research Letters, Elsevier, vol. 75(C).
    12. Nickel, Christiane & Kilponen, Juha & Moral-Benito, Enrique & Koester, Gerrit & Ciccarelli, Matteo & Enders, Almira & Holton, Sarah & Landau, Bettina & Venditti, Fabrizio & Bobeica, Elena & Brand, Cla, 2025. "A strategic view on the economic and inflation environment in the euro area," Occasional Paper Series 371, European Central Bank.
    13. Maximilian Boeck & Christian Glocker, 2025. "The Role of Labor Market Institutions in Shaping Euro Area Monetary Policy Transmission," WIFO Working Papers 713, WIFO.
    14. Ko, Dong Gyun, 2025. "Did the American Rescue Plan cause inflation? A synthetic control approach," Economic Modelling, Elsevier, vol. 143(C).

  5. Gara Afonso & Domenico Giannone & Gabriele La Spada & John C. Williams, 2022. "Scarce, Abundant, or Ample? A Time-Varying Model of the Reserve Demand Curve," Staff Reports 1019, Federal Reserve Bank of New York.

    Cited by:

    1. Matthew Schaffer & Nimrod Segev, 2023. "Quantitative Easing, Bank Lending, and Aggregate Fluctuations," Bank of Israel Working Papers 2023.01, Bank of Israel.
    2. Egemen Eren & Timothy Jackson & Giovanni Lombardo, 2024. "The macroprudential role of central bank balance sheets," Working Papers 202408, University of Liverpool, Department of Economics.
    3. Egemen Eren & Timothy Jackson & Giovanni Lombardo, 2024. "The macroprudential role of central bank balance sheets," BIS Working Papers 1173, Bank for International Settlements.

  6. 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.

    Cited by:

    1. 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.
    2. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    3. 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.
    4. Addie, Ron & Taranto, Aldo, 2024. "Economic Similarities and their Application to Inflation," EconStor Preprints 283286, ZBW - Leibniz Information Centre for Economics.
    5. Kéa Baret & Frédérique Bec & Marion Cochard, 2025. "Quantifying Uncertainty in France’s Debt Trajectory: A VAR Based Analysis," Working papers 1019, Banque de France.
    6. Chan, Joshua C.C. & Pettenuzzo, Davide & Poon, Aubrey & Zhu, Dan, 2025. "Conditional forecasts in large Bayesian VARs with multiple equality and inequality constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 173(C).

  7. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Heterogeneity, co-movements and financial fragmentation within the euro area," Ruhr Economic Papers 927, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    3. 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.

  8. Patrick A. Adams & Tobias Adrian & Nina Boyarchenko & Domenico Giannone & J. Nellie Liang & Eric Qian, 2020. "What Do Financial Conditions Tell Us about Risks to GDP Growth?," Liberty Street Economics 20200521, Federal Reserve Bank of New York.

    Cited by:

    1. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
    2. Kremer, Manfred & Chavleishvili, Sulkhan, 2021. "Measuring Systemic Financial Stress and its Impact on the Macroeconomy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242346, Verein für Socialpolitik / German Economic Association.
    3. Chavleishvili, Sulkhan & Kremer, Manfred, 2023. "Measuring systemic financial stress and its risks for growth," Working Paper Series 2842, European Central Bank.
    4. Bank for International Settlements, 2022. "Private sector debt and financial stability," CGFS Papers, Bank for International Settlements, number 67.

  9. Nina Boyarchenko & Domenico Giannone & Anna Kovner, 2020. "Bank Capital and Real GDP Growth," Staff Reports 950, Federal Reserve Bank of New York.

    Cited by:

    1. Nina Boyarchenko & Giovanni Favara & Moritz Schularick, 2022. "Financial Stability Considerations for Monetary Policy: Empirical Evidence and Challenges," Finance and Economics Discussion Series 2022-006, Board of Governors of the Federal Reserve System (U.S.).
    2. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.

  10. Adrian, Tobias & Adams, Patrick & Boyarchenko, Nina & Giannone, Domenico, 2020. "Forecasting Macroeconomic Risks," CEPR Discussion Papers 14436, C.E.P.R. Discussion Papers.

    Cited by:

    1. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    2. Jane M. Ryngaert, 2023. "Balance of Risks and the Anchoring of Consumer Expectations," JRFM, MDPI, vol. 16(2), pages 1-18, January.
    3. Christian P Pinshi, 2022. "Ciblage des prévisions d'inflation : Un nouveau cadre pour la politique monétaire ?," Working Papers hal-03548273, HAL.
    4. Nina Boyarchenko & Giovanni Favara & Moritz Schularick, 2022. "Financial Stability Considerations for Monetary Policy: Empirical Evidence and Challenges," Finance and Economics Discussion Series 2022-006, Board of Governors of the Federal Reserve System (U.S.).
    5. Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    6. David Kohns & Tibor Szendrei, 2021. "Decoupling Shrinkage and Selection for the Bayesian Quantile Regression," Papers 2107.08498, arXiv.org.
    7. Martin Iseringhausen, 2021. "A time-varying skewness model for Growth-at-Risk," Working Papers 49, European Stability Mechanism.
    8. Ta-Chung Chi & Ting-Han Fan & Raffaele M. Ghigliazza & Domenico Giannone & Zixuan & Wang, 2025. "Macroeconomic Forecasting and Machine Learning," Papers 2510.11008, arXiv.org.
    9. Maximilian Boeck & Massimiliano Marcellino & Michael Pfarrhofer & Tommaso Tornese, 2024. "Predicting Tail-Risks for the Italian Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(3), pages 339-366, November.
    10. 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.
    11. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    12. Keijsers, Bart & van Dijk, Dick, 2025. "Does economic uncertainty predict real activity in real time?," International Journal of Forecasting, Elsevier, vol. 41(2), pages 748-762.
    13. Daniel Gros, 2021. "High Public Debt in an Uncertain World: Post-Covid-19 Dangers for Public Finance," EconPol Policy Brief 38, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    14. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
    15. Matteo Iacopini & Francesco Ravazzolo & Luca Rossini, 2022. "Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications," Papers 2211.16121, arXiv.org, revised Aug 2024.
    16. Adämmer, Philipp & Prüser, Jan & Schüssler, Rainer A., 2025. "Forecasting macroeconomic tail risk in real time: Do textual data add value?," International Journal of Forecasting, Elsevier, vol. 41(1), pages 307-320.
    17. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    18. Noori, Mohammad & Hitaj, Asmerilda, 2023. "Dissecting hedge funds' strategies," International Review of Financial Analysis, Elsevier, vol. 85(C).
    19. Petrella, Ivan & De Polis, Andrea & Melosi, Leonardo, 2025. "The taming of the skew: asymmetric inflation risk and monetary policy," Working Paper Series 3028, European Central Bank.
    20. Hwee Kwan Chow, 2025. "Gauging growth risk in an international financial centre: some evidence from Singapore," Empirical Economics, Springer, vol. 68(5), pages 2199-2224, May.
    21. Marian Vavra, 2023. "Bias-Correction in Time Series Quantile Regression Models," Working and Discussion Papers WP 3/2023, Research Department, National Bank of Slovakia.
    22. Michael P. Clements & Shixuan Wang, 2023. "Do Professional Forecasters' Phillips Curves Incorporate the Beliefs of Others?," Economics Discussion Papers em-dp2023-05, Department of Economics, University of Reading.
    23. Sui, Jianli & Lv, Wenqiang & Gao, Xiang & Koedijk, Kees G., 2024. "China’s GDP-at-Risk: Real-Time Monitoring, Risk Tracing, and Macroeconomic Policy Effects," Journal of International Money and Finance, Elsevier, vol. 147(C).
    24. Jan Pruser & Florian Huber, 2023. "Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions," Papers 2301.13604, arXiv.org, revised Sep 2023.
    25. Tobias Adrian & Domenico Giannone & Matteo Luciani & Mike West, 2025. "Scenario Synthesis and Macroeconomic Risk," Papers 2505.05193, arXiv.org.
    26. Ferrara, Laurent & Mogliani, Matteo & Sahuc, Jean-Guillaume, 2022. "High-frequency monitoring of growth at risk," International Journal of Forecasting, Elsevier, vol. 38(2), pages 582-595.
    27. Efrem Castelnuovo & Lorenzo Mori, 2022. "Uncertainty, Skewness, and the Business Cycle through the MIDAS Lens," CESifo Working Paper Series 10062, CESifo.
    28. Heather Jane Ruberl & Remzi Baris Tercioglu & Elderfield,Adam, 2025. "Forecast Sensitivity to Global Risks : A BVAR Analysis," Policy Research Working Paper Series 11132, The World Bank.
    29. 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.
    30. Sharpe, Steven A. & Sinha, Nitish R. & Hollrah, Christopher A., 2023. "The power of narrative sentiment in economic forecasts," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1097-1121.
    31. Jack Fosten & Daniel Gutknecht & Marc-Oliver Pohle, 2023. "Testing Quantile Forecast Optimality," Papers 2302.02747, arXiv.org, revised Oct 2023.
    32. 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.
    33. Lang, Jan Hannes & Rusnák, Marek & Greiwe, Moritz, 2023. "Medium-term growth-at-risk in the euro area," Working Paper Series 2808, European Central Bank.
    34. Yannick Hoga & Christian Schulz, 2025. "Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series," Papers 2502.10065, arXiv.org, revised Jun 2025.
    35. PINSHI, Christian P., 2022. "Inflation-Forecast Targeting: A New Framework for Monetary Policy?," MPRA Paper 111709, University Library of Munich, Germany.
    36. Nyholm, Juho & Voutilainen, Ville, 2021. "Quantiles of growth: Household debt and growth vulnerabilities in Finland," BoF Economics Review 2/2021, Bank of Finland.

  11. Boyarchenko, Nina & Adrian, Tobias & Giannone, Domenico, 2020. "Multimodality in Macro-Financial Dynamics," CEPR Discussion Papers 15088, C.E.P.R. Discussion Papers.

    Cited by:

    1. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2020. "Can systemic risk measures predict economic shocks? Evidence from China," China Economic Review, Elsevier, vol. 64(C).
    2. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
    3. Eller, Markus & Hauzenberger, Niko & Huber, Florian & Schuberth, Helene & Vashold, Lukas, 2021. "The impact of macroprudential policies on capital flows in CESEE," Journal of International Money and Finance, Elsevier, vol. 119(C).
    4. Jesús Fernández-Villaverde & Samuel Hurtado & Galo Nuño, 2020. "Financial Frictions and the Wealth Distribution," CESifo Working Paper Series 8482, CESifo.
    5. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    6. Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Journal of Econometrics, Elsevier, vol. 232(1), pages 52-69.
    7. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
    8. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 118-166, August.
    9. James Mitchell & Aubrey Poon & Dan Zhu, 2022. "Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics," Working Papers 22-12R, Federal Reserve Bank of Cleveland, revised 11 Apr 2023.
    10. Alexander Georges Gretener & Matthias Neuenkirch & Dennis Umlandt, 2022. "Dynamic Mixture Vector Autoregressions with Score-Driven Weights," Research Papers in Economics 2022-02, University of Trier, Department of Economics.
    11. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    12. Milan Szabo, 2024. "Disciplining growth‐at‐risk models with survey of professional forecasters and Bayesian quantile regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1975-1981, September.
    13. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    14. Jan Prüser & Florian Huber, 2024. "Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 269-291, March.
    15. Tibor Szendrei & Arnab Bhattacharjee, 2024. "Momentum Informed Inflation-at-Risk," Papers 2408.12286, arXiv.org.
    16. Susanna Levantesi & Andrea Nigri & Paolo Pagnottoni & Alessandro Spelta, 2025. "Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(2), pages 313-336, June.
    17. Rottner, Matthias, 2023. "Financial crises and shadow banks: A quantitative analysis," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 74-92.
    18. Tobias Adrian & Domenico Giannone & Matteo Luciani & Mike West, 2025. "Scenario Synthesis and Macroeconomic Risk," Papers 2505.05193, arXiv.org.
    19. Mark Gertler & Nobuhiro Kiyotaki & Andrea Prestipino, 2020. "Credit Booms, Financial Crises and Macroprudential Policy," Working Papers 2020-62, Princeton University. Economics Department..
    20. Korobilis, Dimitris & Schröder, Maximilian, 2025. "Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach," Journal of Econometrics, Elsevier, vol. 249(PC).
    21. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2023. "Distributional Vector Autoregression: Eliciting Macro and Financial Dependence," Papers 2303.04994, arXiv.org.
    22. Tibor Szendrei & Arnab Bhattacharjee & Mark E. Schaffer, 2024. "MIDAS-QR with 2-Dimensional Structure," Papers 2406.15157, arXiv.org.
    23. Dimitris Korobilis & Maximilian Schroder, 2023. "Monitoring multicountry macroeconomic risk," Papers 2305.09563, arXiv.org.
    24. Chavleishvili, Sulkhan & Engle, Robert F. & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "The risk management approach to macro-prudential policy," Working Paper Series 2565, European Central Bank.
    25. Garratt, Anthony & Henckel, Timo & Vahey, Shaun P., 2023. "Empirically-transformed linear opinion pools," International Journal of Forecasting, Elsevier, vol. 39(2), pages 736-753.
    26. Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021. "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1173-1191.
    27. Chavleishvili, Sulkhan & Kremer, Manfred, 2023. "Measuring systemic financial stress and its risks for growth," Working Paper Series 2842, European Central Bank.

  12. Giannone, Domenico & Lenza, Michele & Reichlin, Lucrezia, 2019. "Money, credit, monetary policy and the business cycle in the euro area: what has changed since the crisis?," Working Paper Series 2226, European Central Bank.

    Cited by:

    1. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross & Helene Olsen, 2024. "Unveiling inflation: Oil Shocks, Supply Chain Pressures, and Expectations," Working Papers No 05/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    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. Ascari, Guido & Fosso, Luca, 2024. "The international dimension of trend inflation," Journal of International Economics, Elsevier, vol. 148(C).
    5. Guido Ascari & Luca Fosso, 2021. "The Inflation Rate Disconnect Puzzle: On the International Component of Trend Inflation and the Flattening of the Phillips Curve," Working Paper 2021/17, Norges Bank.
    6. Pedro J. Gutiérrez-Diez & Tibor Pál, 2023. "Monetary policy models: lessons from the Eurozone crisis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-19, December.
    7. Zabavnik, Darja & Verbič, Miroslav, 2024. "Unravelling the credit market shocks and investment dynamics: A theoretical and empirical perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).
    8. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    9. Primiceri, Giorgio & Del Negro, Marco & Lenza, Michele & Tambalotti, Andrea, 2020. "What's up with the Phillips Curve?," CEPR Discussion Papers 14583, C.E.P.R. Discussion Papers.
    10. Joshua C. C. Chan & Davide Pettenuzzo & Aubrey Poon & Dan Zhu, 2024. "Conditional Forecasts in Large Bayesian VARs with Multiple Equality and Inequality Constraints," Papers 2407.02262, arXiv.org.
    11. Gianluca Cafiso, 2022. "Loans to Different Groups and Economic Activity at Times of Crisis and Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 594-623, June.
    12. 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.
    13. Lenza, Michele & Savoia, Ettore, 2024. "Do we need firm data to understand macroeconomic dynamics?," Working Paper Series 438, Sveriges Riksbank (Central Bank of Sweden).
    14. Angela Capolongo & Claudia Pacella, 2021. "Forecasting inflation in the euro area: countries matter!," Empirical Economics, Springer, vol. 61(5), pages 2477-2499, November.
    15. Dajčman Silvo & Kavkler Alenka & Levenko Natalia & Romih Dejan, 2022. "Spillover effects of economic policy uncertainty on adult and youth unemployment," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 47-70, December.
    16. Elena Afanasyeva, 2020. "Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap," Finance and Economics Discussion Series 2020-045, Board of Governors of the Federal Reserve System (U.S.).
    17. Simone Auer & Antonio M. Conti, 2024. "Bank lending in an unprecedented monetary tightening cycle: evidence from the euro area," Questioni di Economia e Finanza (Occasional Papers) 856, Bank of Italy, Economic Research and International Relations Area.
    18. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.

  13. Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," Working Papers 1812, Federal Reserve Bank of Dallas.

    Cited by:

    1. Arce-Alfaro, Gabriel & Blagov, Boris, 2022. "Financial integration or financial fragmentation? A euro area perspective," Economic Modelling, Elsevier, vol. 114(C).
    2. Jan Willem van den End, 2025. "Effects of QE on sovereign bond spreads through the safe asset channel," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1143-1162, April.
    3. Calice,Pietro & Diaz Kalan,Federico Alfonso & Masetti,Oliver, 2020. "Interest Rate Repression : A New Database," Policy Research Working Paper Series 9457, The World Bank.
    4. Burban, Valentin & De Backer, Bruno & Vladu, Andreea Liliana, 2024. "Inflation (de-)anchoring in the euro area," Working Paper Series 2964, European Central Bank.
    5. Edoardo Rainone, 2022. "Currency demand at negative policy rates," Temi di discussione (Economic working papers) 1359, Bank of Italy, Economic Research and International Relations Area.
    6. Goodhart, Charles A.E. & Tsomocos, Dimitrios P. & Wang, Xuan, 2023. "Support for small businesses amid COVID‐19," LSE Research Online Documents on Economics 118164, London School of Economics and Political Science, LSE Library.
    7. Frank Smets, 2021. "Comment expliquer la faiblesse durable des taux directeurs dans la zone euro ?," Revue d'économie financière, Association d'économie financière, vol. 0(4), pages 47-60.
    8. Ruch,Franz Ulrich, 2021. "Neutral Real Interest Rates in Inflation Targeting Emerging and Developing Economies," Policy Research Working Paper Series 9711, The World Bank.
    9. Marcin Bielecki & Michał Brzoza-Brzezina & Marcin Kolasa, 2020. "Demographics and the natural interest rate in the euro area," Working Papers 2020-24, Faculty of Economic Sciences, University of Warsaw.
    10. Daniel Rees & Guofeng Sun, 2021. "The natural interest rate in China," BIS Working Papers 949, Bank for International Settlements.
    11. Lucio Gobbi & Ronny Mazzocchi & Roberto Tamborini, 2022. "Monetary policy, rational confidence, and Neo‐Fisherian depressions," Metroeconomica, Wiley Blackwell, vol. 73(4), pages 1179-1199, November.
    12. Yanzhao Liu & Liutang Gong & Jianjian Liu & Chan Wang, 2022. "Dynamic Efficiency in an OLG Model With the Spirit of Capitalism," Annals of Economics and Finance, Society for AEF, vol. 23(2), pages 315-328, November.
    13. Westerhout, Ed & Meijdam, Lex & Ponds, Eduard & Bonenkamp, Jan, 2022. "Should we revive PAYG? On the optimal pension system in view of current economic trends," European Economic Review, Elsevier, vol. 148(C).
    14. Challe, Edouard & Matvieiev, Mykhailo, 2024. "On natural interest rate volatility," European Economic Review, Elsevier, vol. 167(C).
    15. Alexander Beames & Mariano Kulish & Nadine Yamout, 2022. "Fiscal Policy and the Slowdown in Trend Growth in an Open Economy," Working Papers 143, Red Nacional de Investigadores en Economía (RedNIE).
    16. Philippe Andrade & Jordi Gali & Hervé Le Bihan & Julien Matheron, 2021. "Should the ECB Adjust its Strategy in the Face of a Lower r*?," Working papers 811, Banque de France.
    17. Nitschka, Thomas & Satkurunathan, Shajivan, 2021. "Habits die hard: implications for bond and stock markets internationally," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242358, Verein für Socialpolitik / German Economic Association.
    18. Davis, Leila & de Souza, Joao & Kim, YK. & Rella, Giacomo, 2023. "What are firms borrowing for? The role of financial assets," Economic Modelling, Elsevier, vol. 125(C).
    19. Madalen Castells Jauregui & Dmitry Kuvshinov & Bjoern Richter & Victoria Vanasco, 2024. "Sectoral dynamics of safe assets in advanced economies," Economics Working Papers 1884, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2025.
    20. Łukasz Rachel & Lawrence H. Summers, 2019. "On Secular Stagnation in the Industrialized World," NBER Working Papers 26198, National Bureau of Economic Research, Inc.
    21. Michael D. Bauer & Glenn D. Rudebusch, 2020. "The Rising Cost of Climate Change: Evidence from the Bond Market," Working Paper Series 2020-25, Federal Reserve Bank of San Francisco.
    22. Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    23. Chen, Jiazi & Niu, Linlin, 2023. "How do baby boomers affect interest rates? A functional analysis of the impact of age distribution on macroeconomic trends," Finance Research Letters, Elsevier, vol. 53(C).
    24. Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Heterogeneity, co-movements and financial fragmentation within the euro area," Ruhr Economic Papers 927, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    25. Andrew Bailey & Ambrogio Cesa-Bianchi & Marco Garofalo & Richard Harrison & Nick McLaren & Rana Sajedi & Sophie Piton, 2023. "Structural change, global R* and the missing-investment puzzle," Bank of England working papers 997, Bank of England.
    26. Murota, Ryu-ichiro, 2022. "The effect of a decline in the world real interest rate on a small open economy experiencing persistent stagnation," Economics Letters, Elsevier, vol. 216(C).
    27. Inda Mulaahmetovic, 2022. "Evaluating the Effectiveness of Quantitative Easing Measures of the Federal Reserve and the European Central Bank," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 12(3), pages 141-163.
    28. Thiago Revil T. Ferreira & Samer Shousha, 2020. "Scarcity of Safe Assets and Global Neutral Interest Rates," International Finance Discussion Papers 1293, Board of Governors of the Federal Reserve System (U.S.).
    29. Juvenal José Duarte & Sahudy Montenegro González & José César Cruz, 2021. "Predicting Stock Price Falls Using News Data: Evidence from the Brazilian Market," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 311-340, January.
    30. Hauptmeier, Sebastian & Kamps, Christophe & Radke, Lucas, 2022. "Counter-cyclical fiscal rules and the zero lower bound," Working Paper Series 2715, European Central Bank.
    31. Johnston, Lauren A., 2020. "China’s Economic Demography Transition Strategy: A Population Weighted Approach to the Economy and Policy," GLO Discussion Paper Series 593, Global Labor Organization (GLO).
    32. Billi, Roberto & Galí, Jordi & Nakov, Anton, 2024. "Optimal monetary policy with r∗<0," Journal of Monetary Economics, Elsevier, vol. 142(C).
    33. Bielecki, Marcin & Brzoza-Brzezina, Michał & Błażejowska, Aneta & Kuziemska-Pawlak, Kamila & Szafrański, Grzegorz, . "Szacunki i projekcje naturalnej stopy procentowej dla Polski i strefy euro," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2024(3).
    34. David Staines, 2023. "Stochastic Equilibrium the Lucas Critique and Keynesian Economics," Papers 2312.16214, arXiv.org, revised Jun 2024.
    35. Kuvshinov, Dmitry & Richter, Björn & Zimmermann, Kaspar, 2022. "The shifts and the shocks: bank risk, leverage, and the macroeconomy," Working Paper Series 2672, European Central Bank.
    36. Matteo Barigozzi & Claudio Lissona & Matteo Luciani, 2024. "Measuring the Euro Area Output Gap," Finance and Economics Discussion Series 2024-099, Board of Governors of the Federal Reserve System (U.S.).
    37. Martin Feldkircher & Elizaveta Lukmanova & Gabriele Tondl, 2019. "Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment," Department of Economics Working Papers wuwp289, Vienna University of Economics and Business, Department of Economics.
    38. Castells-Jauregui, Madalen & Kuvshinov, Dmitry & Richter, Björn & Vanasco, Victoria, 2025. "Foreign demand for safety and macroeconomic instability," Working Paper Series 3126, European Central Bank.
    39. Kim, Duhyeong, 2023. "International effects of quantitative easing and foreign exchange intervention," Journal of International Economics, Elsevier, vol. 145(C).
    40. Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
    41. Asriyan, Vladimir & Laeven, Luc & Martin, Alberto & Van der Ghote, Alejandro & Vanasco, Victoria, 2025. "Falling interest rates and credit reallocation: lessons from general equilibrium," Working Paper Series 3070, European Central Bank.
    42. Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020. "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224546, Verein für Socialpolitik / German Economic Association.
    43. Gross, Jonas & Zahner, Johannes, 2021. "What is on the ECB’s mind? Monetary policy before and after the global financial crisis," Journal of Macroeconomics, Elsevier, vol. 68(C).
    44. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
    45. Gary Hansen & Selahattin Imrohoroglu, 2023. "Demographic Change, Government Debt and Fiscal Sustainability in Japan: The Impact of Bond Purchase by the Bank of Japan," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 50, pages 88-105, October.
    46. Pang, Ke & Shiamptanis, Christos, 2024. "Is the Bank of Canada concerned about inflation or the state of the economy?," Journal of International Money and Finance, Elsevier, vol. 140(C).
    47. Carvalho, Carlos & Ferrero, Andrea & Mazin, Felipe & Nechio, Fernanda, 2025. "Reprint of: Demographics and real interest rates across countries and over time," Journal of International Economics, Elsevier, vol. 156(C).
    48. Jiaqian Chen & Daria Finocchiaro & Jesper Linde & Karl Walentin, 2023. "The costs of macroprudential deleveraging in a liquidity trap"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 991-1011, December.
    49. Philippe Bacchetta & Kenza Benhima & Jean-Paul Renne, 2022. "Understanding Swiss real interest rates in a financially globalized world," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-17, December.
    50. Papetti, Andrea, 2021. "Demographics and the natural real interest Rate: historical and projected paths for the euro area," Journal of Economic Dynamics and Control, Elsevier, vol. 132(C).
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    Cited by:

    1. Richard K. Crump & João A. C. Santos, 2018. "Review of New York Fed studies on the effects of post-crisis banking reforms," Economic Policy Review, Federal Reserve Bank of New York, issue 24-2, pages 71-90.
    2. Filippo Busetto, 2024. "Asymmetric expectations of monetary policy," Bank of England working papers 1058, Bank of England.
    3. Nina Boyarchenko & Domenico Giannone & Or Shachar, 2018. "Flighty liquidity," Staff Reports 870, Federal Reserve Bank of New York.
    4. Martina Hengge, 2019. "Uncertainty as a Predictor of Economic Activity," IHEID Working Papers 19-2019, Economics Section, The Graduate Institute of International Studies.

  16. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.

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    1. Bajraj, Gent & Lorca, Jorge & Wlasiuk, Juan M., 2023. "On foreign drivers of emerging markets fluctuations," Economic Modelling, Elsevier, vol. 129(C).
    2. C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "Temperature in the Iberian Peninsula: Trend, seasonality, and heterogeneity," Papers 2406.14145, arXiv.org.
    3. Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series 7902, CESifo.
    4. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    5. Vásquez Cordano, Arturo L. & Zellou, Abdel M., 2020. "Super cycles in natural gas prices and their impact on Latin American energy and environmental policies," Resources Policy, Elsevier, vol. 65(C).
    6. Ferreiro Javier Ojea, 2019. "Structural change in the link between oil and the European stock market: implications for risk management," Dependence Modeling, De Gruyter, vol. 7(1), pages 53-125, January.
    7. Sun, Yiqun & Ji, Hao & Cai, Xiurong & Li, Jiangchen, 2023. "Joint extreme risk of energy prices-evidence from European energy markets," Finance Research Letters, Elsevier, vol. 56(C).
    8. Bermpei, Theodora & Ferrara, Laurent & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios, 2024. "Commodity currencies revisited: The role of global commodity price uncertainty," Journal of International Money and Finance, Elsevier, vol. 145(C).
    9. Matsumoto, Akito & Pescatori, Andrea & Wang, Xueliang, 2023. "Commodity prices and global economic activity," Japan and the World Economy, Elsevier, vol. 66(C).
    10. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2024. "Energy shocks in the Euro area: Disentangling the pass-through from oil and gas prices to inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    11. Kim, Hyeongwoo & Son, Jisoo, 2024. "What charge-off rates are predictable by macroeconomic latent factors?," Journal of Financial Stability, Elsevier, vol. 74(C).
    12. Diaz, Elena Maria & Pérez Quirós, Gabriel, 2020. "Daily tracker of global economic activity: a close-up of the COVID-19 pandemic," Working Paper Series 2505, European Central Bank.
    13. Allayioti, Anastasia & Venditti, Fabrizio, 2024. "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series 2901, European Central Bank.
    14. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
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    17. Vietha Devia SS, 2019. "Analysis of Crude Oil Price and Exchange Rate Volatility on Macroeconomic Variables (Case Study of Indonesia as Emerging Economic Country)," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 5(5), pages 257-271.
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    42. Fernandez, Viviana & Pastén-Henríquez, Boris & Tapia-Griñen, Pablo & Wagner, Rodrigo, 2023. "Commodity prices under the threat of operational disruptions: Labor strikes at copper mines," Journal of Commodity Markets, Elsevier, vol. 32(C).
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    46. Zhang, Bo & Nguyen, Bao H. & Sun, Chuanwang, 2024. "Forecasting oil prices: Can large BVARs help?," Energy Economics, Elsevier, vol. 137(C).
    47. Schmidt, Torsten & Kirsch, Florian & Dirks, Maximilian W., 2021. "Kurzfristige Perspektiven der Rohstoffpreisentwicklung," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 251878.
    48. Fry-McKibbin, Renée & McKinnon, Kate, 2023. "The evolution of commodity market financialization: Implications for portfolio diversification," Journal of Commodity Markets, Elsevier, vol. 32(C).
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    50. Ahmed, Rashad, 2023. "Global commodity prices and macroeconomic fluctuations in a low interest rate environment," Energy Economics, Elsevier, vol. 127(PB).
    51. Qian, Chenqi & Zhang, Tianding & Li, Jie, 2023. "The impact of international commodity price shocks on macroeconomic fundamentals: Evidence from the US and China," Resources Policy, Elsevier, vol. 85(PB).
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    53. Metallinos Pavlos, 2022. "Failure Case of Earned Value Method (EVM): The “Absurd” of the Use of Management & Contingency Reserves Budgeting," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 10(1), pages 41-75, January.
    54. Saroj Bhattarai & Arpita Chatterjee & Gautham Udupa, 2025. "Food, Fuel, and Facts: Distributional Effects of Global Price Shocks," International Finance Discussion Papers 1414, Board of Governors of the Federal Reserve System (U.S.).
    55. Rebeca Jiménez‐Rodríguez & Amalia Morales‐Zumaquero, 2020. "Impact of commodity prices on exchange rates in commodity‐exporting countries," The World Economy, Wiley Blackwell, vol. 43(7), pages 1868-1906, July.
    56. Marcel Prokopczuk & Chardin Wese Simen & Robert Wichmann, 2021. "The dynamics of commodity return comovements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1597-1617, October.
    57. Hyeongwoo Kim & Jisoo Son, 2023. "Forecasting Net Charge-Off Rates of Large U.S. Bank Holding Companies using Macroeconomic Latent Factors," Auburn Economics Working Paper Series auwp2023-02, Department of Economics, Auburn University.
    58. Jacho, Domenica & Cruz, Zoe & Carrillo-Maldonado, Paul, 2024. "Effect of terms of trade on the Latin American Labor market," International Economics, Elsevier, vol. 180(C).
    59. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2020. "Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes," Open Economies Review, Springer, vol. 31(4), pages 859-879, September.
    60. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    61. Rausser, Gordon & Stuermer, Martin, 2020. "A Dynamic Analysis of Collusive Action: The Case of the World Copper Market, 1882-2016," MPRA Paper 104708, University Library of Munich, Germany.
    62. Basistha, Arabinda, 2025. "A Markov-switching dynamic factor framework for dating global economic cycles," Journal of International Money and Finance, Elsevier, vol. 157(C).
    63. Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2023. "Commodity price shocks, supply chain disruptions and U.S. inflation," Finance Research Letters, Elsevier, vol. 58(PC).
    64. Hilde C. Bjørnland & Julia Zhulanova, 2018. "The Shale Oil Boom and the U.S. Economy: Spillovers and Time-Varying Effects," Working Papers No 8/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    65. Chiara Casoli & Matteo Manera & Luca Pedini & Daniele Valenti, 2025. "“It’s not the heat, it’s the humidity!” New Climate Indices for Europe with a Multilevel Factor Model," Working Papers 2025.23, Fondazione Eni Enrico Mattei.
    66. Fernández, Andrés & González, Andrés & Rodríguez, Diego, 2018. "Sharing a ride on the commodities roller coaster: Common factors in business cycles of emerging economies," Journal of International Economics, Elsevier, vol. 111(C), pages 99-121.
    67. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
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    69. Nam, Kyungsik, 2021. "Investigating the effect of climate uncertainty on global commodity markets," Energy Economics, Elsevier, vol. 96(C).
    70. Nguyen, BH & Zhang, Bo, 2022. "Forecasting oil Prices: can large BVARs help?," Working Papers 2022-04, University of Tasmania, Tasmanian School of Business and Economics.
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    Cited by:

    1. Albert Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis : this time was different," Documents de Travail de l'OFCE 2019-11, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Ahn, Hie Joo & Rudd, Jeremy B., 2025. "(Re-)Connecting inflation and the labor market: A tale of two curves," Journal of Monetary Economics, Elsevier, vol. 153(C).
    3. 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.
    4. Bauwens, Luc & Chevillon, Guillaume & Laurent, Sébastien, 2023. "We modeled long memory with just one lag!," Journal of Econometrics, Elsevier, vol. 236(1).
    5. Žymantas Budrys & Mario Porqueddu & Andrej Sokol, 2024. "Striking a Bargain: Narrative Identification of Wage Bargaining Shocks," Bank of Lithuania Working Paper Series 121, Bank of Lithuania.
    6. Nooman Rebei & Rashid Sbia, 2021. "Transitory and permanent shocks in the global market for crude oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1047-1064, November.
    7. Petrella, Ivan & Delle Monache, Davide & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," CEPR Discussion Papers 14107, C.E.P.R. Discussion Papers.
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    99. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2021. "Systemic risk measures and distribution forecasting of macroeconomic shocks," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 178-196.
    100. Chavleishvili, Sulkhan & Manganelli, Simone, 2019. "Forecasting and stress testing with quantile vector autoregression," Working Paper Series 2330, European Central Bank.
    101. Michael T. Kiley, 2020. "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series 2020-095, Board of Governors of the Federal Reserve System (U.S.).
    102. Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
    103. Luca Rossi, 2021. "Revisiting the Case for a Fiscal Union: the Federal Fiscal Channel of Downside-Risk Sharing in the United States," Temi di discussione (Economic working papers) 1351, Bank of Italy, Economic Research and International Relations Area.
    104. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
    105. Chen, Liang & Dolado, Juan J. & Gonzalo, Jesús, 2020. "Quantile Factor Models," IZA Discussion Papers 13870, IZA Network @ LISER.
    106. 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.
    107. Eduardo C. Castro, 2020. "RegGae: a toolkit for macroprudential policy with DSGEs," Working Papers Series 526, Central Bank of Brazil, Research Department.
    108. Anusha Chari & Karlye Dilts Stedman & Kristin J. Forbes, 2021. "Spillovers at the Extremes: The Macroprudential Stance and Vulnerability to the Global Financial Cycle," Research Working Paper RWP 21-16, Federal Reserve Bank of Kansas City.
    109. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
    110. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    111. Chavleishvili, Sulkhan & Engle, Robert F. & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "The risk management approach to macro-prudential policy," Working Paper Series 2565, European Central Bank.
    112. Aida Caldera Sánchez & Oliver Röhn, 2016. "How do policies influence GDP tail risks?," OECD Economics Department Working Papers 1339, OECD Publishing.
    113. Nyholm, Juho & Voutilainen, Ville, 2021. "Quantiles of growth: Household debt and growth vulnerabilities in Finland," BoF Economics Review 2/2021, Bank of Finland.
    114. Michael T. Kiley, 2021. "Growth at Risk From Climate Change," Finance and Economics Discussion Series 2021-054, Board of Governors of the Federal Reserve System (U.S.).
    115. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    116. Isabel Cairo & Jae Sim, 2017. "Income Inequality, Financial Crises and Monetary Policy," 2017 Meeting Papers 1433, Society for Economic Dynamics.
    117. Alain Kabundi & Asithandile Mbelu, 2021. "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, vol. 60(4), pages 1817-1844, April.
    118. Boyan Jovanovic & Sai Ma, 2020. "Uncertainty and Growth Disasters," International Finance Discussion Papers 1279, Board of Governors of the Federal Reserve System (U.S.).
    119. David Aikman & Jonathan Bridges & Anil Kashyap & Caspar Siergert, 2018. "Would macroprudential regulation have prevented the last crisis?," Bank of England working papers 747, Bank of England.
    120. Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021. "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1173-1191.
    121. Stephen Millard, & Margarita Rubio & Alexandra Varadi, 2020. "The impact of Covid-19 on productivity," Discussion Papers 2020/14, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    122. Sokol, Andrej & Eguren-Martin, Fernando, 2020. "Attention to the tail(s): global financial conditions and exchange rate risks," Working Paper Series 2387, European Central Bank.
    123. Busetti, Fabio & Caivano, Michele & Delle Monache, Davide & Pacella, Claudia, 2021. "The time-varying risk of Italian GDP," Economic Modelling, Elsevier, vol. 101(C).
    124. Gupta, Rangan & Sheng, Xin & Pierdzioch, Christian & Ji, Qiang, 2021. "Disaggregated oil shocks and stock-market tail risks: Evidence from a panel of 48 economics," Research in International Business and Finance, Elsevier, vol. 58(C).
    125. Aaron Amburgey & Michael W. McCracken, 2022. "On the Real-Time Predictive Content of Financial Conditions Indices for Growth," Working Papers 2022-003, Federal Reserve Bank of St. Louis, revised 03 Jun 2022.
    126. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    127. Stefan Griller & Florian Huber & Michael Pfarrhofer, 2022. "Measuring Shocks to Central Bank Independence using Legal Rulings," Papers 2202.12695, arXiv.org.
    128. Claudio Borio & Piti Disyatat & Phurichai Rungcharoenkitkul, 2018. "What Anchors for the Natural Rate of Interest?," PIER Discussion Papers 98, Puey Ungphakorn Institute for Economic Research.
    129. Mr. Tobias Adrian & Andrea Deghi & Mitsuru Katagiri & Mr. Sohaib Shahid & Nico Valckx, 2020. "Predicting Downside Risks to House Prices and Macro-Financial Stability," IMF Working Papers 2020/011, International Monetary Fund.
    130. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur, 2021. "Combining negative rates, forward guidance and asset purchases: identification and impacts of the ECB’s unconventional policies," Working Paper Series 2564, European Central Bank.
    131. Alter, Adrian & Mahoney, Elizabeth M., 2021. "Local house-price vulnerability: Evidence from the U.S. and Canada," Journal of Housing Economics, Elsevier, vol. 54(C).
    132. Angelini, Elena & Darracq Pariès, Matthieu & Zimic, Srečko & Damjanović, Milan, 2020. "ECB-BASIR: a primer on the macroeconomic implications of the Covid-19 pandemic," Working Paper Series 2431, European Central Bank.
    133. Lee, Dong Jin & Kim, Tae-Hwan & Mizen, Paul, 2021. "Impulse response analysis in conditional quantile models with an application to monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    134. Andrew Filardo & Marco Jacopo Lombardi & Marek Raczko, 2018. "Measuring financial cycle time," BIS Working Papers 755, Bank for International Settlements.
    135. Afees A. Salisu & Rangan Gupta & Christian Pierdzioch, 2021. "Predictability of Tail Risks of Canada and the U.S. Over a Century: The Role of Spillovers and Oil Tail Risks," Working Papers 202127, University of Pretoria, Department of Economics.
    136. Pongpitch Amatyakul & Tosapol Apaitan & Savaphol Hiruntiaranakul & Nuwat Nookhwun, 2021. "Revisiting Thailand's Monetary Policy Model for an Integrated Policy Analysis," PIER Discussion Papers 164, Puey Ungphakorn Institute for Economic Research.
    137. Tatjana Dahlhaus & Tatevik Sekhposyan, 2018. "Monetary Policy Uncertainty: A Tale of Two Tails," Staff Working Papers 18-50, Bank of Canada.
    138. Rangan Gupta & Xin Sheng & Christian Pierdzioch & Qiang Ji, 2021. "Disaggregated Oil Shocks and Stock-Market Tail Risks: Evidence from a Panel of 48 Countries," Working Papers 202106, University of Pretoria, Department of Economics.

  21. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Beetsma, Roel & Cimadomo, Jacopo & van Spronsen, Josha, 2022. "One scheme fits all: a central fiscal capacity for the EMU targeting eurozone, national and regional shocks," Working Paper Series 2666, European Central Bank.
    2. 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).
    3. Monokroussos, George & Zhao, Yongchen, 2020. "Nowcasting in real time using popularity priors," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1173-1180.
    4. Lenza, Michele & Jarociński, Marek, 2016. "An inflation-predicting measure of the output gap in the euro area," Working Paper Series 1966, European Central Bank.
    5. Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
    6. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
    7. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    8. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
    9. Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: Der neue Prognosestandard des ifo Instituts," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
    10. Scott A. Brave & R. Andrew Butters & David Kelley, 2019. "A New “Big Data” Index of U.S. Economic Activity," Economic Perspectives, Federal Reserve Bank of Chicago, issue 1, pages 1-30.
    11. Petrella, Ivan & Santoro, Emiliano & Simonsen, Lasse de la Porte, 2018. "Time-varying Price Flexibility and Inflation Dynamics," CEPR Discussion Papers 13027, C.E.P.R. Discussion Papers.
    12. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
    13. Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
    14. Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
    15. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  22. Carlo Altavilla & Domenico Giannone & Michèle Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Working Papers ECARES ECARES 2014-34, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Bond Yield Spreads in the Euro Area," Discussion Papers of DIW Berlin 1413, DIW Berlin, German Institute for Economic Research.
    2. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    3. Benjamin Born & Zeno Enders & Manuel Menkhoff & Gernot J. Müller & Knut Niemann, 2023. "Firm Expectations and News: Micro v Macro," ifo Working Paper Series 400, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    5. François Gourio & Phuong Ngo, 2020. "Risk Premia at the ZLB: A Macroeconomic Interpretation," Working Paper Series WP 2020-01, Federal Reserve Bank of Chicago.
    6. Silvia Miranda-Agrippino, 2016. "Unsurprising shocks: information, premia, and the monetary transmission," Bank of England working papers 626, Bank of England.
    7. Rasmus Fatum & Naoko Hara & Yohei Yamamoto, 2019. "Negative Interest Rate Policy and the Influence of Macroeconomic News on Yields," IMES Discussion Paper Series 19-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
    8. Fernando Eguren-Martin & Nick McLaren, 2015. "How much do UK market interest rates respond to macroeconomic data news?," Bank of England Quarterly Bulletin, Bank of England, vol. 55(3), pages 259-272.
    9. Banerjee, Ameet Kumar & Pradhan, H.K. & Akhtaruzzaman, Md & Sensoy, Ahmet & Dann, Susan, 2024. "Anatomy of sovereign yield behaviour using textual news," Research in International Business and Finance, Elsevier, vol. 71(C).
    10. Yunus, Nafeesa, 2023. "Long-run and short-run impact of the U.S. economy on stock, bond and housing markets: An evaluation of U.S. and six major economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 211-232.
    11. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 112(C).
    12. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Reprint: Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 114(C).
    13. Guerino Ardizzi & Simone Emiliozzi & Juri Marcucci & Libero Monteforte, 2019. "News and consumer card payments," Temi di discussione (Economic working papers) 1233, Bank of Italy, Economic Research and International Relations Area.
    14. Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, The Center for Economic Research.
    15. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    16. Deng, Chao & Chen, Keyuan & Yu, Li & He, Yinxi & Hong, Yun & Jiang, Yanhui, 2025. "The asymmetric relationship between state media tone and the Chinese bond market during COVID-19: Evidence from a nonlinear ARDL model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 46(C).
    17. Bruno Feunou & Jean-Sébastien Fontaine & Ingomar Krohn, 2022. "Real Exchange Rate Decompositions," Discussion Papers 2022-6, Bank of Canada.
    18. Bruno Feunou & Rodrigo Sekkel & Morvan Nongni Donfack, 2018. "Does US or Canadian Macro News Drive Canadian Bond Yields?," Staff Analytical Notes 2018-38, Bank of Canada.
    19. Patrick Hirsch & Lars P. Feld & Ekkehard A. Köhler & Tobias Thomas, 2024. "“Whatever It Takes!” How Tonality of TV-News Affected Government Bond Yield Spreads during the European Debt Crisis," CESifo Working Paper Series 10980, CESifo.
    20. Julio E. Sandubete & León Beleña & Juan Carlos García-Villalobos, 2023. "Testing the Efficient Market Hypothesis and the Model-Data Paradox of Chaos on Top Currencies from the Foreign Exchange Market (FOREX)," Mathematics, MDPI, vol. 11(2), pages 1-29, January.
    21. Ann Xing, Bingxin & Feunou, Bruno & Nongni-Donfack, Morvan & Sekkel, Rodrigo, 2024. "U.S. macroeconomic news and low-frequency changes in bond yields in Canada, Sweden and the U.K," Journal of Banking & Finance, Elsevier, vol. 168(C).
    22. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    23. 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.
    24. Wildmer Daniel Gregori & Wildmer Agnese Sacchi, 2016. "Has the Grexit news spilled over into euro area financial markets? The role of domestic political leaders, supranational executives and institutions," Mo.Fi.R. Working Papers 134, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    25. Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
    26. Gregori, Wildmer Daniel & Sacchi, Agnese, 2019. "Has the Grexit news affected euro area financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
    27. Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
    28. Goodell, John W. & Alon, Ilan & Chiaramonte, Laura & Dreassi, Alberto & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Risk substitution in cryptocurrencies: Evidence from BRICS announcements," Emerging Markets Review, Elsevier, vol. 54(C).
    29. Ingomar Krohn & Vladyslav Sushko & Witit Synsatayakul, 2023. "Foreign investor feedback trading in an emerging financial market," BIS Working Papers 1154, Bank for International Settlements.
    30. Altavilla, Carlo & Gürkaynak, Refet S. & Laeven, Luc & Kind, Thilo, 2025. "Monetary transmission with frequent policy events," Working Paper Series 3157, European Central Bank.
    31. Luca Brugnolini & Antonello D’Agostino & Alex Tagliabracci, 2021. "Is Anything Predictable in Market-Based Surprises?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 387-410, November.
    32. Andrey Duván Rincón-Torres & Luisa María de la Hortúa-Pulido & Kimberly Rojas-Silva & Juan Manuel Julio-Román, 2023. "The Low Frequency Effect of Macroeconomic News on Colombian Government Bond Yields," Borradores de Economia 1263, Banco de la Republica de Colombia.
    33. Michele Modugno & Berardino Palazzo, 2025. "Decoding Equity Market Reactions to Macroeconomic News," Finance and Economics Discussion Series 2025-007, Board of Governors of the Federal Reserve System (U.S.).
    34. Kerssenfischer, Mark & Schmeling, Maik, 2024. "What moves markets?," Journal of Monetary Economics, Elsevier, vol. 145(C).
    35. Christoph E. Boehm & Niklas Kroner, 2023. "The US, Economic News, and the Global Financial Cycle," International Finance Discussion Papers 1371, Board of Governors of the Federal Reserve System (U.S.).
    36. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
    37. Sreejata Banerjee & Divya Sinha, 2015. "Effect of Macroeconomic News Releases on Bond Yields in India China and Japan," Working Papers 2015-125, Madras School of Economics,Chennai,India.
    38. Alberto Caruso, 2016. "The Impact of Macroeconomic News on the Euro-Dollar Exchange Rate," Working Papers ECARES ECARES 2016-32, ULB -- Universite Libre de Bruxelles.
    39. Vania Stavrakeva & Jenny Tang, 2020. "A Fundamental Connection: Exchange Rates and Macroeconomic Expectations," Working Papers 20-20, Federal Reserve Bank of Boston.
    40. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
    41. Guido Bulligan & Davide Delle Monache, 2018. "Financial markets effects of ECB unconventional monetary policy announcements," Questioni di Economia e Finanza (Occasional Papers) 424, Bank of Italy, Economic Research and International Relations Area.
    42. Dumitru, Ana-Maria & Urga, Giovanni, 2016. "Jumps and Information Asymmetry in the US Treasury Market," EconStor Preprints 130148, ZBW - Leibniz Information Centre for Economics.
    43. Schlepper, Kathi, 2016. "High-frequency trading in the Bund futures market," Discussion Papers 15/2016, Deutsche Bundesbank.
    44. Bingxin Ann Xing & Bruno Feunou & Morvan Nongni-Donfack & Rodrigo Sekkel, 2024. "U.S. Macroeconomic News and Low-Frequency Changes in Small Open Economies’ Bond Yields," Staff Working Papers 24-12, Bank of Canada.

  23. 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. Urmat Dzhunkeev, 2025. "MOSES: Macroeconomic Forecasting with Models and Sentiment Synthesis," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 63-84, December.
    2. 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.
    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. Bjørnland & Jamie L. Cross & Felix Kapfhammer, 2023. "The Drivers of Emission Reductions in the European Carbon Market," Working Papers No 08/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    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. Krüger, Fabian & Clark, Todd E. & Ravazzolo, Francesco, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113077, Verein für Socialpolitik / German Economic Association.
    13. 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.
    14. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    15. 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.
    16. 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.

  24. Giannone, Domenico & Banbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," CEPR Discussion Papers 9931, C.E.P.R. Discussion Papers.

    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. Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
    3. Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis: this time was different," Sciences Po Economics Publications (main) hal-03403269, HAL.
    4. Anastasios Evgenidis & Stephanos Papadamou, 2021. "The impact of unconventional monetary policy in the euro area. Structural and scenario analysis from a Bayesian VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5684-5703, October.
    5. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    6. Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2019. "Les prévisions conditionnelles sont-elles plus précises que les prévisions inconditionnelles dans les projections de croissance et d’inflation en zone CEMAC ? [Should conditional forecasts of inflation and real growth more accurate than unconditio," MPRA Paper 116432, University Library of Munich, Germany.
    7. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    8. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross & Helene Olsen, 2024. "Unveiling inflation: Oil Shocks, Supply Chain Pressures, and Expectations," Working Papers No 05/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Sebastian Ankargren & Mårten Bjellerup & Hovick Shahnazarian, 2017. "The importance of the financial system for the real economy," Empirical Economics, Springer, vol. 53(4), pages 1553-1586, December.
    10. Michal Franta & David Havrlant & Marek Rusnák, 2016. "Forecasting Czech GDP Using Mixed-Frequency Data Models," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(2), pages 165-185, December.
    11. 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.
    12. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
    13. Alejandro Steven Fonseca-Zendejas & Carmen Borrego-Salcido & M. Carmen Delgado, 2025. "Internal migration in Spain: identifying key drivers for forecasting," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(2), pages 1-23, June.
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    1. António Afonso & Michael G. Arghyrou & María Dolores Gadea & Alexandros Kontonikas, 2017. ""Whatever it takes" to resolve the European sovereign debt crisis? Bond pricing regime switches and monetary policy effects," Working Papers REM 2017/02, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Irma Alonso & Pedro Serrano & Antoni Vaello-Sebastià, 2021. "The impact of heterogeneous unconventional monetary policies on the expectations of market crashes," Working Papers 2127, Banco de España.
    3. Fabrizio Balassone & Sara Cecchetti & Martina Cecioni & Marika Cioffi & Wanda Cornacchia & Flavia Corneli & Gabriele Semeraro, 2016. "Economic governance in the euro area: balancing risk reduction and risk sharing," Questioni di Economia e Finanza (Occasional Papers) 344, Bank of Italy, Economic Research and International Relations Area.
    4. Matthieu Darracq Paries & Pascal Jacquinot & Niki Papadopoulou, 2016. "Synopsis of the Euro Area Financial Crisis," Working Papers 2016-8, Central Bank of Cyprus.
    5. Anastasios Evgenidis & Stephanos Papadamou, 2021. "The impact of unconventional monetary policy in the euro area. Structural and scenario analysis from a Bayesian VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5684-5703, October.
    6. Sungurtekin Hallam, Bahar, 2022. "Emerging market responses to external shocks: A cross-country analysis," Economic Modelling, Elsevier, vol. 115(C).
    7. Moro, Beniamino, 2019. "Interpreting TARGET balances in the European Monetary Union: A critical review of the literature," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    8. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, December.
    9. Gnabo, Jean-Yves & Soudant, Joey, 2022. "Monetary policy and portfolio rebalancing: Evidence from European equity mutual funds," Journal of Financial Stability, Elsevier, vol. 63(C).
    10. Michael Stiefel & Rémi Vivès, 2022. "‘Whatever it takes’ to change belief: evidence from Twitter," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 715-747, August.
    11. Michael Hachula & Michele Piffer & Malte Rieth, 2016. "Unconventional Monetary Policy, Fiscal Side Effects and Euro Area (Im)balances," Discussion Papers of DIW Berlin 1596, DIW Berlin, German Institute for Economic Research.
    12. Ugo Albertazzi & Andrea Nobili & Federico M. Signoretti, 2016. "The bank lending channel of conventional and unconventional monetary policy," Temi di discussione (Economic working papers) 1094, Bank of Italy, Economic Research and International Relations Area.
    13. Bobasu, Alina & Ciccarelli, Matteo & Notarpietro, Alessandro & Ambrocio, Gene & Auer, Simone & Bonfim, Diana & Bottero, Margherita & Brázdik, František & Buss, Ginters & Byrne, David & Casalis, André , 2025. "Monetary policy transmission: a reference guide through ESCB models and empirical benchmarks," Occasional Paper Series 377, European Central Bank.
    14. Kristina Bluwstein & Fabio Canova, 2016. "Beggar-Thy-Neighbor? The International Effects of ECB Unconventional Monetary Policy Measures," International Journal of Central Banking, International Journal of Central Banking, vol. 12(3), pages 69-120, September.
    15. Atanas Pekanov, 2020. "Die Europäische Währungsunion im Wandel," WIFO Monatsberichte (monthly reports), WIFO, vol. 93(3), pages 165-175, March.
    16. Christophe Blot & Caroline Bozou & Jérôme Creel & Paul Hubert, 2021. "Are all Central Bank Asset Purchases the Same? Different Rationales, Different Effects," Sciences Po Economics Publications (main) hal-03554141, HAL.
    17. Albertazzi, Ugo & Becker, Bo & Boucinha, Miguel, 2021. "Portfolio rebalancing and the transmission of large-scale asset purchase programs: Evidence from the Euro area," Journal of Financial Intermediation, Elsevier, vol. 48(C).
    18. Acharya, Viral & Eisert, Tim & Eufinger, Christian & Hirsch, Christian, 2017. "Whatever it takes: The Real Effects of Unconventional Monetary Policy," CEPR Discussion Papers 12005, C.E.P.R. Discussion Papers.
    19. Donato Masciandaro & Oana Peia & Davide Romelli, 2022. "Central Bank Communication and Social Media: From Silence to Twitter," BAFFI CAREFIN Working Papers 22187, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    20. Beck, Roland & Georgiadis, Georgios & Gräb, Johannes, 2014. "Dissecting foreign investments in euro area bond markets during the sovereign debt crisis," The international role of the euro - Special feature, European Central Bank.
    21. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    22. Lane, Philip R., 2024. "The Euro Area Hiking Cycle: An Interim Assessment: Dow Lecture By Philip R. Lane, Member Of The Executive Board Of The Ecb, At The National Institute Of Economic And Social Research, London, 16 February 2023," National Institute Economic Review, National Institute of Economic and Social Research, vol. 267, pages 35-65, February.
    23. Arghyrou, Michael G & Gadea, Mar a Dolores, 2019. "Private bank deposits and macro/fiscal risk in the euro-area," Cardiff Economics Working Papers E2019/6, Cardiff University, Cardiff Business School, Economics Section.
    24. Darracq Pariès, Matthieu & Kühl, Michael, 2016. "The optimal conduct of central bank asset purchases," Working Paper Series 1973, European Central Bank.
    25. Falagiarda, Matteo & Reitz, Stefan, 2015. "Announcements of ECB unconventional programs: Implications for the sovereign spreads of stressed euro area countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 276-295.
    26. Pietrovito, Filomena & Pozzolo, Alberto Franco, 2022. "Did small banks trade-off lending with government bond purchases during the Sovereign debt crisis?," Economics & Statistics Discussion Papers esdp22083, University of Molise, Department of Economics.
    27. von Borstel, Julia & Eickmeier, Sandra & Krippner, Leo, 2016. "The interest rate pass-through in the euro area during the sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 386-402.
    28. Hartmann, Philipp & Smets, Frank, 2018. "The first twenty years of the European Central Bank: monetary policy," CEPR Discussion Papers 13411, C.E.P.R. Discussion Papers.
    29. Florentina Melnic, 2017. "The Financial Crisis Response. Comparative Analysis Between European Union And Usa," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 19, pages 129-155, June.
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    162. Fuertes, Ana-Maria & Kalotychou, Elena & Saka, Orkun, 2014. "ECB Policy and Eurozone Fragility: Was De Grauwe Right?," CEPS Papers 9414, Centre for European Policy Studies.
    163. Maximilian Langer & Joshua Hassib & Lars P. Feld & Daniel Nientiedt, 2025. "Evaluating the Effects of the German Debt Brake: A Synthetic Control Approach," CESifo Working Paper Series 11933, CESifo.
    164. Nikolaos Petrakis & Christos Lemonakis & Christos Floros & Constantin Zopounidis, 2022. "Eurozone Stock Market Reaction to Monetary Policy Interventions and Other Covariates," JRFM, MDPI, vol. 15(2), pages 1-19, January.
    165. Martien Lamers & Frederik Mergaerts & Elien Meuleman & Rudi Vander Vennet, 2016. "The trade-off between monetary policy and bank stability," Working Paper Research 308, National Bank of Belgium.
    166. Junttila, Juha & Nguyen, Vo Cao Sang, 2022. "Impacts of sovereign risk premium on bank profitability: Evidence from euro area," International Review of Financial Analysis, Elsevier, vol. 81(C).
    167. Gibson, Heather D. & Hall, Stephen G. & Petroulas, Pavlos & Tavlas, George S., 2022. "An investigation into feedback and spatial relationships between banks’ share prices and sovereign bond spreads during the euro crisis," Journal of Financial Stability, Elsevier, vol. 63(C).
    168. Matthieu Darracq-Pariès & Niki Papadopoulou, 2020. "Balance Sheet Policies in a Large Currency Union: A Primer on ECB Non-Standard Measures since 2014," Revue d'économie politique, Dalloz, vol. 130(2), pages 171-230.
    169. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    170. Darracq Pariès, Matthieu & Jacquinot, Pascal & Papadopoulou, Niki, 2016. "Parsing financial fragmentation in the euro area: a multi-country DSGE perspective," Working Paper Series 1891, European Central Bank.
    171. Sergio de Ferra, 2017. "External Imbalances, Gross Capital Flows and Sovereign Debt Crises," 2017 Meeting Papers 726, Society for Economic Dynamics.
    172. Ferrando, Annalisa & Popov, Alexander & Udell, Gregory F., 2022. "Unconventional monetary policy, funding expectations, and firm decisions," European Economic Review, Elsevier, vol. 149(C).
    173. Altavilla, Carlo & Canova, Fabio & Ciccarelli, Matteo, 2020. "Mending the broken link: Heterogeneous bank lending rates and monetary policy pass-through," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 81-98.
    174. Giovanni Verga & Federica Trani & Nicoleta Vasilcovschi, 2018. "The Interaction between American and European IRS Interest Rates," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 65(1), pages 81-96, March.
    175. António Afonso, & Jorge Silva, 2017. "Effects of euro area monetary policy on institutional sectors: the case of Portugal," Working Papers Department of Economics 2017/15, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    176. Motto, Roberto & Özen, Kadir, 2022. "Market-stabilization QE," Working Paper Series 2640, European Central Bank.
    177. Diessner, Sebastian & Lisi, Giulio, 2019. "Masters of the ‘masters of the universe’? Monetary, fiscal and financial dominance in the Eurozone," LSE Research Online Documents on Economics 100754, London School of Economics and Political Science, LSE Library.
    178. van Holle, Frederiek, 2017. "Essays in empirical finance and monetary policy," Other publications TiSEM 30d11a4b-7bc9-4c81-ad24-5, Tilburg University, School of Economics and Management.
    179. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
    180. António Afonso, & Manish K. Singh, 2016. "Is the supply of long-term debt independent of the term premia? Evidence from Portugal," Working Papers Department of Economics 2016/11, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    181. Luca Fanelli & Antonio Marsi, 2021. "Unconventional Monetary Policy in the Euro Area: A Tale of Three Shocks," Working Papers wp1164, Dipartimento Scienze Economiche, Universita' di Bologna.
    182. Gifuni, Luigi, 2017. "The Financial and Macroeconomic Effects of SMP, LTRO and OMT Announcements," MPRA Paper 90166, University Library of Munich, Germany.
    183. Altavilla, Carlo & Boucinha, Miguel & Holton, Sarah & Ongena, Steven, 2018. "Credit supply and demand in unconventional times," Working Paper Series 2202, European Central Bank.
    184. Anamaria Illes & Marco Lombardi & Paul Mizen, 2015. "Why Did Bank Lending Rates Diverge from Policy Rates After the Financial Crisis?," Discussion Papers 2015/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    185. Fanelli, Luca & Marsi, Antonio, 2022. "Sovereign spreads and unconventional monetary policy in the Euro area: A tale of three shocks," European Economic Review, Elsevier, vol. 150(C).
    186. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur, 2021. "Combining negative rates, forward guidance and asset purchases: identification and impacts of the ECB’s unconventional policies," Working Paper Series 2564, European Central Bank.
    187. Guillaume Cléaud & Francisco de Castro Fernández & Jorge Durán Laguna & Lucia Granelli & Martin Hallet & Anne Jaubertie & Carlos Maravall Rodriguez & Diana Ognyanova & Balazs Palvolgyi & Tsvetan Tsali, 2019. "Cruising at Different Speeds: Similarities and Divergences between the German and the French Economies," European Economy - Discussion Papers 103, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    188. Di Serio, Mario, 2024. "Public debt determinants: A time-varying analysis of core and peripheral Euro area countries," Finance Research Letters, Elsevier, vol. 69(PA).
    189. Ute Volz & Martin Mandler & Michael Scharnagl, 2016. "Heterogeneity in Euro Area Monetary Policy Transmission: Results from a large Multi-Country BVAR," EcoMod2016 9609, EcoMod.
    190. Altavilla, Carlo & Pariès, Matthieu Darracq & Nicoletti, Giulio, 2019. "Loan supply, credit markets and the euro area financial crisis," Journal of Banking & Finance, Elsevier, vol. 109(C).
    191. Marinela Adriana Finta & Bart Frijns & Alireza Tourani-Rad, 2019. "Time-varying contemporaneous spillovers during the European Debt Crisis," Empirical Economics, Springer, vol. 57(2), pages 423-448, August.
    192. Martien Lamers & Thomas Present & Nicolas Soenen & Rudi Vander Vennet, 2023. "Does BRRD mitigate the bank-to-sovereign risk channel?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1060, Ghent University, Faculty of Economics and Business Administration.
    193. Stéphane Lhuissier & Benoit Nguyen, 2021. "The Dynamic Effects of the ECB s Asset Purchases: a Survey-Based Identification," Working papers 806, Banque de France.

  26. Giannone, Domenico & Altavilla, Carlo, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," CEPR Discussion Papers 10001, C.E.P.R. Discussion Papers.

    Cited by:

    1. Francesco Paolo Mongelli & Gonzalo Camba-Mendez, 2018. "The Financial Crisis and Policy Responses in Europe (2007–2018)," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(4), pages 531-558, December.
    2. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2015. "The QE experience: Worth a try?," Post-Print hal-03568216, HAL.
    3. Enders, Zeno & Hünnekes, Franziska & Müller, Gernot J., 2019. "Monetary policy announcements and expectations: Evidence from german firms," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 45-63.
    4. Roy Havemann & Henk Janse van Vuuren & Daan Steenkamp & Rossouw van Jaarsveld, 2022. "The bond market impact of the South African Reserve Bank bond purchase programme," Working Papers 11024, South African Reserve Bank.
    5. Eda Gulsen & Hakan Kara, 2020. "Formation of inflation expectations: Does macroeconomic and policy environment matter?," Koç University-TUSIAD Economic Research Forum Working Papers 2017, Koc University-TUSIAD Economic Research Forum.
    6. Luiz Renato Lima & Lucas Lúcio Godeiro & Mohammed Mohsin, 2021. "Time-Varying Dictionary and the Predictive Power of FED Minutes," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 149-181, January.
    7. Giannone, Domenico & Altavilla, Carlo & Lenza, Michele, 2014. "The financial and macroeconomic effects of OMT announcements," Working Paper Series 1707, European Central Bank.
    8. McQuade, Peter & Falagiarda, Matteo & Tirpák, Marcel, 2015. "Spillovers from the ECB's non-standard monetary policies on non-euro area EU countries: evidence from an event-study analysis," Working Paper Series 1869, European Central Bank.
    9. Jérôme Creel & Paul Hubert & Mathilde Viennot, 2015. "The Effect of ECB Monetary Policies on Interest Rates and Volumes," Working Papers hal-03459679, HAL.
    10. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
    11. Zhou, Siwen, 2018. "Measuring the Signaling Effect of the ECB’s Asset Purchase Programme at the Effective Lower Bound," MPRA Paper 87084, University Library of Munich, Germany.
    12. Neely, Christopher J., 2022. "How persistent are unconventional monetary policy effects?," Journal of International Money and Finance, Elsevier, vol. 126(C).
    13. Dario Caldara & Etienne Gagnon & Enrique Martínez García & Christopher J. Neely, 2021. "Monetary Policy and Economic Performance Since the Financial Crisis," Review, Federal Reserve Bank of St. Louis, vol. 103(4), pages 425-460, October.
    14. Atsushi Inoue & Barbara Rossi, 2021. "A new approach to measuring economic policy shocks, with an application to conventional and unconventional monetary policy," Quantitative Economics, Econometric Society, vol. 12(4), pages 1085-1138, November.
    15. Gang Wang, 2019. "The Effects of Quantitative Easing Announcements on the Mortgage Market: An Event Study Approach," IJFS, MDPI, vol. 7(1), pages 1-30, February.
    16. Silvia T. Trifonova, 2021. "Extraordinary Actions Of The Ecb In Response To The Coronavirus Pandemic," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 15(1), pages 1-23.
    17. Böhl, Gregor & Goy, Gavin & Strobel, Felix, 2021. "A structural investigation of quantitative easing," Discussion Papers 01/2021, Deutsche Bundesbank.
    18. Jiang, Ruishi & Ruan, Jia & Long, Keru & Ni, Jianhui, 2024. "Monetary policy, corporate credit and digital transformation," Finance Research Letters, Elsevier, vol. 67(PA).
    19. Ioannou, Demosthenes & Stracca, Livio & Pagliari, Maria Sole, 2020. "The international dimension of an incomplete EMU," Working Paper Series 2459, European Central Bank.
    20. Pierpaolo Benigno & Paolo Canofari & Giovanni Bartolomeo & Marcello Messori, 2022. "The European Monetary Policy Responses During the Pandemic Crisis," Open Economies Review, Springer, vol. 33(4), pages 657-675, September.
    21. Inoue, Atsushi & Rossi, Barbara, 2019. "The effects of conventional and unconventional monetary policy on exchange rates," Journal of International Economics, Elsevier, vol. 118(C), pages 419-447.
    22. Demosthenes Ioannou & Maria Sole Pagliari & Livio Stracca, 2020. "The international dimension of a fragile EMU," Working papers 795, Banque de France.
    23. Christian Beer & Christian Alexander Belabed & Andreas Breitenfellner & Christian Ragacs & Beat Weber, 2017. "EU integration and its impact on Austria," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/2017, pages 1-38.
    24. Hakan Yilmazkuday, 2020. "Unequal unemployment effects of COVID-19 and monetary policy across U.S. States," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S3), pages 45-53, December.
    25. Karlyn Mitchell & Douglas K. Pearce, 2020. "How Did Unconventional Monetary Policy Affect Economic Forecasts?," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 206-220, January.
    26. Capasso, Salvatore & D'Uva, Marcella & Fiorelli, Cristiana & Napolitano, Oreste, 2023. "Cross-border Italian sovereign risk transmission in EMU countries," Economic Modelling, Elsevier, vol. 126(C).
    27. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    28. Anastasios Evgenidis & Apostolos Fasianos, 2021. "Unconventional Monetary Policy and Wealth Inequalities in Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 115-175, February.
    29. Ahundjanov, Behzod B. & Akhundjanov, Sherzod B. & Okhunjanov, Botir B., 2021. "Risk perception and oil and gasoline markets under COVID-19," Journal of Economics and Business, Elsevier, vol. 115(C).
    30. Ugo Panizza & Charles Wyplosz, 2018. "The Folk Theorem of Decreasing Effectiveness of Monetary Policy: What Do the Data Say?," Russian Journal of Money and Finance, Bank of Russia, vol. 77(1), pages 71-107, March.
    31. Motto, Roberto & Altavilla, Carlo & Carboni, Giacomo, 2015. "Asset purchase programmes and financial markets: lessons from the euro area," Working Paper Series 1864, European Central Bank.
    32. Marie Alder & Nuno Coimbra & Urszula Szczerbowicz, 2025. "Corporate debt structure and heterogeneous monetary policy transmission," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Leveraging corporates' financial statements for policy insights, volume 65, Bank for International Settlements.
    33. Arthur Korus, 2019. "Spillover Effects from the ECB's Unconventional Monetary Policies: The Case of Denmark, Norway and Sweden," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 5(1), pages 53-78, January.
    34. Chang, Ya-Ting & Gau, Yin-Feng & Hsu, Chih-Chiang, 2017. "Liquidity Commonality in Foreign Exchange Markets During the Global Financial Crisis and the Sovereign Debt Crisis: Effects of Macroeconomic and Quantitative Easing Announcements," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 172-192.
    35. Christian Beer & Christian Alexander Belabed & Andreas Breitenfellner & Christian Ragacs & Beat Weber, 2017. "Österreich und die europäische Integration," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 86-126.
    36. Krokida, Styliani-Iris & Makrychoriti, Panagiota & Spyrou, Spyros, 2020. "Monetary policy and herd behavior: International evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 386-417.
    37. Ioannou, Demosthenes & Pagliari, Maria Sole & Stracca, Livio, 2024. "The international impact of a fragile EMU," European Economic Review, Elsevier, vol. 161(C).
    38. Pierpaolo Benigno & Paolo Canofari & Giovanni Di Bartolomeo & Marcello Messori, 2021. "The ECB's policy measures during the COVID-19 crisis," Working Papers in Public Economics 207, Department of Economics and Law, Sapienza University of Rome.
    39. Stefano Di Bucchianico, 2021. "Negative Interest Rate Policy to Fight Secular Stagnation: Unfeasible, Ineffective, Irrelevant, or Inadequate?," Review of Political Economy, Taylor & Francis Journals, vol. 33(4), pages 687-710, October.
    40. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    41. Guido Bulligan & Davide Delle Monache, 2018. "Financial markets effects of ECB unconventional monetary policy announcements," Questioni di Economia e Finanza (Occasional Papers) 424, Bank of Italy, Economic Research and International Relations Area.
    42. King, Thomas B., 2019. "Expectation and duration at the effective lower bound," Journal of Financial Economics, Elsevier, vol. 134(3), pages 736-760.
    43. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur, 2021. "Combining negative rates, forward guidance and asset purchases: identification and impacts of the ECB’s unconventional policies," Working Paper Series 2564, European Central Bank.

  27. Laura Coroneo & Domenico Giannone & Michèle Modugno, 2013. "Unspanned Macroeconomic Factors in the Yields Curve," Working Papers ECARES ECARES 2013-07, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    2. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    3. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    5. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    6. 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.).
    7. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
    8. Almeida, Thiago Ramos, 2024. "Estimating time-varying factors’ variance in the string-term structure model with stochastic volatility," Research in International Business and Finance, Elsevier, vol. 70(PA).
    9. Alberto Caruso & Laura Coroneo, 2019. "Predicting interest rates in real-time," Discussion Papers 19/18, Department of Economics, University of York.
    10. Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
    11. Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022. "Common factors of commodity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
    12. Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.
    13. Siem Jan Koopman & Julia Schaumburg & Quint Wiersma, 2021. "Joint Modelling and Estimation of Global and Local Cross-Sectional Dependence in Large Panels," Tinbergen Institute Discussion Papers 21-008/III, Tinbergen Institute.
    14. Matteo Barigozzi, 2023. "Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models," Papers 2307.09864, arXiv.org, revised Jun 2024.
    15. Choi, Ahjin & Kang, Kyu Ho, 2023. "Modeling the time-varying dynamic term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 153(C).
    16. Audrino, Francesco & Serwart, Jan, 2024. "Yield curve trading strategies exploiting sentiment data," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    17. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    18. Michael D. Bauer & Glenn D. Rudebusch, 2015. "Resolving the spanning puzzle in macro-finance term structure models," Working Paper Series 2015-1, Federal Reserve Bank of San Francisco.
    19. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    20. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    21. Hansen, Anne Lundgaard, 2024. "Time-varying variance decomposition of macro-finance term structure models," Journal of Empirical Finance, Elsevier, vol. 79(C).
    22. Siyu Bie & Francis X. Diebold & Jingyu He & Junye Li, 2024. "Machine Learning and the Yield Curve: Tree-Based Macroeconomic Regime Switching," Papers 2408.12863, arXiv.org, revised May 2025.
    23. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    24. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    25. Carlo Altavilla & Domenico Giannone & Michele Modugno, 2014. "Low Frequency Effects of Macroeconomic News on Government Bond Yields," Finance and Economics Discussion Series 2014-52, Board of Governors of the Federal Reserve System (U.S.).
    26. Hong, Zhiwu & Wang, Zhenhan & Li, Xinda, 2024. "Foreign trade and China’s yield curve during the COVID-19 pandemic: An analysis based on an extended arbitrage-free Nelson–Siegel model," Research in International Business and Finance, Elsevier, vol. 70(PB).
    27. Luke Hartigan & Michelle Wright, 2023. "Monitoring Financial Conditions and Downside Risk to Economic Activity in Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 253-287, June.
    28. Goodarzi, Milad & Meinerding, Christoph, 2023. "Asset allocation with recursive parameter updating and macroeconomic regime identifiers," Discussion Papers 06/2023, Deutsche Bundesbank.
    29. Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
    30. Bahaa Aly, Tarek, 2025. "Nonlinear Macroeconomic Granger Causality: An ANN Input Occlusion Approach on MSSA-Denoised Data," MPRA Paper 125453, University Library of Munich, Germany.
    31. Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    32. Constantino Hevia & Martin Gonzalez-Rozada & Martin Sola & Fabio Spagnolo, 2014. "Estimating and Forecasting the Yield Curve Using a Markov Switching Dynamic Nelson and Siegel Model," BCAM Working Papers 1403, Birkbeck Centre for Applied Macroeconomics.
    33. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
    34. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    35. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2013. "Anchoring the yield curve using survey expectations," CeMMAP working papers CWP52/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
    37. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    38. Dmitriy Stolyarov & Linda L. Tesar, 2019. "Interest Rate Trends in a Global Context," Working Papers wp402, University of Michigan, Michigan Retirement Research Center.
    39. Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2024. "A Quantile Nelson-Siegel model," Papers 2401.09874, arXiv.org, revised Jul 2025.
    40. Han, Yang & Jiao, Anqi & Ma, Jun, 2021. "The predictive power of Nelson–Siegel factor loadings for the real economy," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 95-127.
    41. Chen, Jiazi & Hong, Zhiwu & Niu, Linlin, 2025. "Forecasting interest rates with shifting endpoints: The role of the functional demographic age distribution," International Journal of Forecasting, Elsevier, vol. 41(1), pages 153-174.
    42. Carlo Altavilla & Riccardo Costantini & Raffaella Giacomini, 2013. "Bond returns and market expectations," CeMMAP working papers CWP20/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Corradi, Valentina & Fosten, Jack & Gutknecht, Daniel, 2024. "Predictive ability tests with possibly overlapping models," Journal of Econometrics, Elsevier, vol. 241(1).
    44. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 695-746, August.
    45. Andreas Schrimpf & Markus Sihvonen, 2025. "Inflation and the joint bond-FX spanning puzzle," BIS Working Papers 1320, Bank for International Settlements.
    46. Lars Beckmann & Jörn Debener & Johannes Kriebel, 2023. "Understanding the determinants of bond excess returns using explainable AI," Journal of Business Economics, Springer, vol. 93(9), pages 1553-1590, November.
    47. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Sep 2024.
    48. Oguzhan Cepni & Ibrahim Ethem Guney & Doruk Kucuksarac & Muhammed Hasan Yilmaz, 2018. "The Interaction between Yield Curve and Macroeconomic Factors," CBT Research Notes in Economics 1802, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    49. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    50. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.
    51. Dorota Toczydlowska & Gareth W. Peters, 2018. "Financial Big Data Solutions for State Space Panel Regression in Interest Rate Dynamics," Econometrics, MDPI, vol. 6(3), pages 1-45, July.
    52. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    53. Joseph P Byrne & Shuo Cao, 2024. "Decomposing Uncertainty in Macro-Finance Term Structure Models," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(3), pages 428-449.
    54. Christos Ioannidis & Kook Ka, 2021. "Economic Policy Uncertainty and Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1479-1522, September.

  28. Reichlin, Lucrezia & Pill, Huw & Giannone, Domenico & Lenza, Michele, 2012. "The ECB and the Interbank Market," CEPR Discussion Papers 8844, C.E.P.R. Discussion Papers.

    Cited by:

    1. Joanna Stawska & Katarzyna Miszczyńska, 2017. "The Impact of the European Central Bank’s Interest Rates on Investments in the Euro Area," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 51-72.
    2. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, December.
    3. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross & Helene Olsen, 2024. "Unveiling inflation: Oil Shocks, Supply Chain Pressures, and Expectations," Working Papers No 05/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2015. "The QE experience: Worth a try?," Post-Print hal-03568216, HAL.
    5. Pateiro-Rodríguez, Carlos & Freire-Seoane, María Jesús & López-Bermúdez, Beatriz & Pateiro-López, Carlos, 2020. "Análisis de la tendencia a la liquidez del agregado monetario M3 en la eurozona: 1997-2018," El Trimestre Económico, Fondo de Cultura Económica, vol. 87(345), pages 171-201, enero-mar.
    6. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    7. Rohan Churm & Mike Joyce & George Kapetanios & Konstantinos Theodoridis, 2015. "Unconventional monetary policies and the macroeconomy: the impact of the United Kingdom's QE2 and Funding for Lending Scheme," Bank of England working papers 542, Bank of England.
    8. Bastanzad, Hossein, 2014. "A New Policy Environment to Achieve Monetary Goals," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 9(4), pages 73-108, July.
    9. Hartmann, Philipp & Smets, Frank, 2018. "The first twenty years of the European Central Bank: monetary policy," CEPR Discussion Papers 13411, C.E.P.R. Discussion Papers.
    10. Florentina Melnic, 2017. "The Financial Crisis Response. Comparative Analysis Between European Union And Usa," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 19, pages 129-155, June.
    11. Stawska, Joanna & Miszczyńska, Katarzyna, . "Wpływ stóp procentowych banku centralnego na inwestycje w strefie euro," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2017(5).
    12. Giannone, Domenico & Altavilla, Carlo & Lenza, Michele, 2014. "The financial and macroeconomic effects of OMT announcements," Working Paper Series 1707, European Central Bank.
    13. Tatom, John A., 2014. "U.S. monetary policy in disarray," Journal of Financial Stability, Elsevier, vol. 12(C), pages 47-58.
    14. Gilles Dufrénot & Anwar Khayat, 2014. "Monetary Policy Switching in the Euro Area and Multiple Equilibria: An Empirical Investigation," AMSE Working Papers 1408, Aix-Marseille School of Economics, France, revised Jan 2014.
    15. Quint, Dominic & Tristani, Oreste, 2015. "Liquidity provision to banks as a monetary policy tool: the ECB's non-standard measures in 2008-2011," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112974, Verein für Socialpolitik / German Economic Association.
    16. De Santis, Roberto A. & Darracq Pariès, Matthieu, 2013. "A non-standard monetary policy shock: the ECB's 3-year LTROs and the shift in credit supply," Working Paper Series 1508, European Central Bank.
    17. Calluzzo, Paul & Dong, Gang Nathan, 2015. "Has the financial system become safer after the crisis? The changing nature of financial institution risk," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 233-248.
    18. Christophe Blot & Jérôme Creel & Paul Hubert & Fabien Labondance, 2015. "Que peut-on attendre de l’assouplissement quantitatif de la BCE ?," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(2), pages 265-290.
    19. Quint, Dominic & Tristani, Oreste, 2018. "Liquidity provision as a monetary policy tool: The ECB’s non-standard measures after the financial crisis," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 15-34.
    20. Christophe Blot & Fabien Labondance, 2021. "Beyond the Interest Rate Pass-through: Monetary Policy and Banks Interest Rates during the Effective Lower Bound," Working Papers 2021-03, CRESE.
    21. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    22. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2018. "Bank capital constraints, lending supply and economic activity," Temi di discussione (Economic working papers) 1199, Bank of Italy, Economic Research and International Relations Area.
    23. Avalos, Fernando & Mamatzakis, Emmanuel, 2023. "Is bank resilience affected by unconventional monetary policy in the Euro area?," Journal of International Money and Finance, Elsevier, vol. 130(C).
    24. Alejandro Bernales & M. di Filippo, 2016. "The Information Contained in Money Market Interactions: Unsecured vs. Collateralized Lending," Working papers 598, Banque de France.
    25. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2016. "Global Banking and the Conduct of Macroprudential Policy in a Monetary Union," MPRA Paper 81367, University Library of Munich, Germany, revised 14 Apr 2017.
    26. Vito Polito, 2020. "Nonlinear Business Cycle and Optimal Policy: A VSTAR Perspective," CESifo Working Paper Series 8060, CESifo.
    27. Kurter, Zeynep O., 2022. "How macroeconomic conditions affect systemic risk in the short and long-run?," The Warwick Economics Research Paper Series (TWERPS) 1407, University of Warwick, Department of Economics.
    28. Babecká Kucharčuková, Oxana & Claeys, Peter & Vašíček, Bořek, 2016. "Spillover of the ECB's monetary policy outside the euro area: How different is conventional from unconventional policy?," Journal of Policy Modeling, Elsevier, vol. 38(2), pages 199-225.
    29. Nicolas Barbaroux, 2014. "The Bank of France and the Open-Market instrument: an impossible wedding?," Working Papers halshs-01069286, HAL.
    30. Reichlin, Lucrezia & Pill, Huw, 2014. "Exceptional policies for exceptional times: The ECB's response to the rolling crises of the Euro Area, and how it has brought u," CEPR Discussion Papers 10193, C.E.P.R. Discussion Papers.
    31. Evgenidis, Anastasios & Hamano, Masashige & Vermeulen, Wessel N., 2021. "Economic consequences of follow-up disasters: Lessons from the 2011 Great East Japan Earthquake," Energy Economics, Elsevier, vol. 104(C).
    32. Antonio Álvarez & Alejandro Fernández & Joaquín García-Cabo & Diana Posada, 2019. "Liquidity Funding Shocks: the Role of Banks’ Funding Mix," Journal of Financial Services Research, Springer;Western Finance Association, vol. 55(2), pages 167-190, June.
    33. Christophe Blot & Jérôme Creel & Xavier Ragot, 2019. "The Euro at 20: a critical assessment," Sciences Po Economics Publications (main) hal-03403622, HAL.
    34. André Grjebine, 2013. "L'Eurosystème: un mécanisme de transferts en faveur des pays déficitaires ? Le débat," Sciences Po Economics Publications (main) hal-01024818, HAL.
    35. Misha van Beek, 2020. "Consistent Calibration of Economic Scenario Generators: The Case for Conditional Simulation," Papers 2004.09042, arXiv.org.
    36. Boysen-Hogrefe, Jens & Gern, Klaus-Jürgen & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Plödt, Martin & Schwarzmüller, Tim & van Roye, Björn & Scheide, Joachim, 2014. "Finanz- und Wirtschaftspolitik bei einer anhaltenden monetären Expansion," Kieler Beiträge zur Wirtschaftspolitik 5, Kiel Institute for the World Economy.
    37. Michael Joyce & David Miles & Andrew Scott & Dimitri Vayanos, 2012. "Quantitative Easing and Unconventional Monetary Policy – an Introduction," Economic Journal, Royal Economic Society, vol. 122(564), pages 271-288, November.
    38. Kooths, Stefan & van Roye, Björn, 2012. "Euro area: Single currency - national money creation," Kiel Working Papers 1787, Kiel Institute for the World Economy.
    39. Ouerk, Salima & Boucher, Christophe & Lubochinsky, Catherine, 2020. "Unconventional monetary policy in the Euro Area: Shadow rate and light effets," Journal of Macroeconomics, Elsevier, vol. 65(C).
    40. Grimm, Niklas & Laeven, Luc & Popov, Alexander, 2021. "Quantitative easing and corporate innovation," Working Paper Series 2615, European Central Bank.
    41. Claudio Borio & Leonardo Gambacorta, 2017. "Monetary policy and bank lending in a low interest rate environment: diminishing effectiveness?," BIS Working Papers 612, Bank for International Settlements.
    42. Christophe Cahn & Julien Matheron & Jean-Guillaume Sahuc, 2014. "Assessing the macroeconomic effects of LTROS," Working papers 528, Banque de France.
    43. Abbassi, Puriya & Linzert, Tobias, 2012. "The effectiveness of monetary policy in steering money market rates during the financial crisis," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 945-954.
    44. Chi, Yeguang & Li, Xiaoming, 2019. "Beauties of the emperor: An investigation of a Chinese government bailout," Journal of Financial Markets, Elsevier, vol. 44(C), pages 42-70.
    45. Kurter, Zeynep O., 2024. "How macroeconomic conditions affect systemic risk in the short and long-run?," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    46. Sanvi Avouyi-Dovi & Guillaume Horny & Patrick Sevestre, 2013. "The dynamics of bank loans short-term interest rates in the Euro area: what lessons can we draw from the current crisis?," Working papers 462, Banque de France.
    47. Chen, Haixia & Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2023. "UK Monetary Policy in An Estimated DSGE Model with State-Dependent Price and Wage Contracts," Cardiff Economics Working Papers E2023/22, Cardiff University, Cardiff Business School, Economics Section.
    48. Kühl, Michael, 2014. "Mitigating financial stress in a bank-financed economy: Equity injections into banks or purchases of assets?," Discussion Papers 19/2014, Deutsche Bundesbank.
    49. Betz, Frank & De Santis, Roberto A., 2019. "ECB corporate QE and the loan supply to bank-dependent firms," Working Paper Series 2314, European Central Bank.
    50. Anh Nguyet Vu & Paraskevi Katsiampa, 2025. "Non-standard monetary policy measures and bank systemic risk in the Eurozone," Review of Quantitative Finance and Accounting, Springer, vol. 64(4), pages 1491-1542, May.
    51. Giri, Federico, 2018. "Does interbank market matter for business cycle fluctuation? An estimated DSGE model with financial frictions for the Euro area," Economic Modelling, Elsevier, vol. 75(C), pages 10-22.
    52. De Santis, Roberto A. & Surico, Paolo, 2013. "Bank lending and monetary transmission in the euro area," Working Paper Series 1568, European Central Bank.
    53. Nicolas Barbaroux, 2014. "The Bank of France and the Open-Market instrument: an impossible wedding?," Working Papers 1423, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    54. Dubecq, Simon & Monfort, Alain & Renne, Jean-Paul & Roussellet, Guillaume, 2016. "Credit and liquidity in interbank rates: A quadratic approach," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 29-46.
    55. Reichlin, Lucrezia, 2014. "Monetary Policy and Banks in the Euro Area: The Tale of Two Crises," Journal of Macroeconomics, Elsevier, vol. 39(PB), pages 387-400.
    56. Ewald Nowotny, 2012. "Der Euro - Vergangenheit, Gegenwart, Zukunft," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 38(2), pages 273-284.
    57. de Haan, Leo & Holton, Sarah & van den End, Jan Willem, 2019. "The impact of central bank liquidity support on banks’ balance sheets," Working Paper Series 2326, European Central Bank.
    58. Christophe Cahn & Julien Matheron & Jean‐Guillaume Sahuc, 2017. "Assessing the Macroeconomic Effects of LTROs during the Great Recession," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1443-1482, October.
    59. Jančoková, Martina & Pástor, Ľuboš & Fabo, Brian & Kempf, Elisabeth, 2021. "Fifty shades of QE: comparing findings of central bankers and academics," Working Paper Series 2584, European Central Bank.
    60. Carlos Pateiro-Rodríguez & Federico Martín-Bermúdez & Esther Barros-Campello & Carlos Pateiro-López, 2025. "On the Weak Impact of Base Money on Broad Money in the Context of Unconventional Monetary Policy: Euro Area 2008–2024," Economies, MDPI, vol. 13(5), pages 1-24, May.
    61. Neri, Stefano & Nobili, Andrea & Conti, Antonio M., 2017. "Low inflation and monetary policy in the euro area," Working Paper Series 2005, European Central Bank.
    62. Michal Jurek & Pawel Marszalek, 2015. "Policy alternatives for the relationship between ECB monetary and financial policies and new member states," Working papers wpaper112, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    63. Pami Dua, 2017. "Macroeconomic Modelling and Bayesian Methods," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 209-226, June.
    64. Evgenidis, Anastasios & Salachas, Evangelos, 2019. "Unconventional monetary policy and the credit channel in the euro area," Economics Letters, Elsevier, vol. 185(C).
    65. Arnold, Ivo J.M. & Soederhuizen, Beau, 2018. "The missing spillover of base expansion into monetary aggregates: Is there a puzzle?," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 64-76.
    66. Chan, Joshua C.C. & Pettenuzzo, Davide & Poon, Aubrey & Zhu, Dan, 2025. "Conditional forecasts in large Bayesian VARs with multiple equality and inequality constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 173(C).
    67. Manfred Kremer, 2016. "Macroeconomic effects of financial stress and the role of monetary policy: a VAR analysis for the euro area," International Economics and Economic Policy, Springer, vol. 13(1), pages 105-138, January.
    68. Fernando Avalos & Emmanuel C Mamatzakis, 2018. "Euro area unconventional monetary policy and bank resilience," BIS Working Papers 754, Bank for International Settlements.
    69. Jef Boeckx & Maarten Dossche & Gert Peersman, 2014. "Effectiveness and transmission of the ECB’s balance sheet policies," Working Paper Research 275, National Bank of Belgium.
    70. Philipp Engler & Christoph Große Steffen, 2014. "Sovereign Risk, Interbank Freezes, and Aggregate Fluctuations," Discussion Papers of DIW Berlin 1436, DIW Berlin, German Institute for Economic Research.
    71. Bai, Yiyi & Dang, Tri Vi & He, Qing & Lu, Liping, 2022. "Does lending relationship help or alleviate the transmission of liquidity shocks? Evidence from a liquidity crunch in China," Journal of Financial Stability, Elsevier, vol. 58(C).
    72. Camba-Méndez, Gonzalo & Durré, Alain & Mongelli, Francesco Paolo, 2016. "Bank interest rate setting in the euro area during the Great Recession," Working Paper Series 1965, European Central Bank.
    73. Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have standard VARs remained stable since the crisis?," Working Paper 2014/13, Norges Bank.
    74. Cour-Thimann, Philippine & Winkler, Bernhard, 2013. "The ECB's non-standard monetary policy measures: the role of institutional factors and financial structure," Working Paper Series 1528, European Central Bank.
    75. Churm, Rohan & Joyce, Michael & Kapetanios, George & Theodoridis, Konstantinos, 2021. "Unconventional monetary policies and the macroeconomy: The impact of the UK's QE2 and funding for lending scheme," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 721-736.
    76. Ferrando, Annalisa & Popov, Alexander & Udell, Gregory F., 2022. "Unconventional monetary policy, funding expectations, and firm decisions," European Economic Review, Elsevier, vol. 149(C).
    77. Neuenkirch, Matthias & Nöckel, Matthias, 2018. "The risk-taking channel of monetary policy transmission in the euro area," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 71-91.
    78. Dragomirescu-Gaina, Catalin & Philippas, Dionisis, 2013. "Is the EMU government bond market a playground for asymmetries?," The Journal of Economic Asymmetries, Elsevier, vol. 10(1), pages 21-31.
    79. Hlebik Sviatlana & Verga Giovanni, 2015. "The European Central Bank Quantitative Policy and Its Consistency with the Demand for Liquidity," Scientific Annals of Economics and Business, Sciendo, vol. 62(3), pages 425-451, November.
    80. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
    81. André Grjebine, 2013. "L'Eurosystème: un mécanisme de transferts en faveur des pays déficitaires ? Le débat," Post-Print hal-01024818, HAL.
    82. Lea Steininger & Alexander A. Popov, 2023. "Monetary Policy and Local Industry Structure," Department of Economics Working Papers wuwp333, Vienna University of Economics and Business, Department of Economics.
    83. Christian Pfister & Natacha Valla, 2018. "New Normal or New Orthodoxy ? Elements of a Central Banking Framework for the After-Crisis," Working papers 680, Banque de France.

  29. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.

    Cited by:

    1. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
    2. Hecq, A.W. & Götz, T.B. & Urbain, J.R.Y.J., 2012. "Real-time forecast density combinations (forecasting US GDP growth using mixed-frequency data)," Research Memorandum 021, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    3. Park, Sungjun & Kim, Jinsoo, 2018. "The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data," Renewable Energy, Elsevier, vol. 127(C), pages 1004-1010.
    4. Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
    5. Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    6. Bragoli, Daniela & Modugno, Michele, 2017. "A now-casting model for Canada: Do U.S. variables matter?," International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
    7. Davor Kunovac & Borna Špalat, 2014. "Nowcasting GDP Using Available Monthly Indicators," Working Papers 39, The Croatian National Bank, Croatia.

  30. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, 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. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
    3. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    4. 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.
    5. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M Sologon, 2020. "The Impact of COVID-19 and Policy Responses on Australian Income Distribution and Poverty," Papers 2009.04037, arXiv.org.
    6. Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
    7. Eguren-Martin, Fernando & O'Neill, Cian & Sokol, Andrej & von dem Berge, Lukas, 2024. "Capital flows-at-risk: Push, pull and the role of policy," Journal of International Money and Finance, Elsevier, vol. 147(C).
    8. Jed Armstrong, 2015. "The Reserve Bank of New Zealand’s output gap indicator suite and its real-time properties," Reserve Bank of New Zealand Analytical Notes series AN2015/08, Reserve Bank of New Zealand.
    9. Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
    10. Mihnea Constantinescu, 2023. "Sparse Warcasting," Working Papers 01/2023, National Bank of Ukraine.
    11. Scott A. Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Real Time," Working Papers 2019-037, Federal Reserve Bank of St. Louis, revised 11 Mar 2021.
    12. Nuttanan Wichitaksorn, 2020. "Analyzing and Forecasting Thai Macroeconomic Data using Mixed-Frequency Approach," PIER Discussion Papers 146, Puey Ungphakorn Institute for Economic Research.
    13. Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
    14. Potjagailo, Galina & Wolters, Maik H., 2019. "Global financial cycles since 1880," IMFS Working Paper Series 132, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    15. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    16. Fulop, Andras & Kocsis, Zalan, 2023. "News indices on country fundamentals," Journal of Banking & Finance, Elsevier, vol. 154(C).
    17. Nie,Owen, 2020. "The Information Content of Capital Controls," Policy Research Working Paper Series 9343, The World Bank.
    18. 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.
    19. Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
    20. Berger, Tino & Morley, James & Wong, Benjamin, 2023. "Nowcasting the output gap," Journal of Econometrics, Elsevier, vol. 232(1), pages 18-34.
      • Tino Berger & James Morley & Benjamin Wong, 2020. "Nowcasting the Output Gap," CAMA Working Papers 2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    21. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    22. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    23. Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
    24. Petrella, Ivan & Delle Monache, Davide & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," CEPR Discussion Papers 14107, C.E.P.R. Discussion Papers.
    25. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    26. Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021. "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia 1168, Banco de la Republica de Colombia.
    27. Robert Ambrisko, 2022. "Nowcasting Macroeconomic Variables Using High-Frequency Fiscal Data," Working Papers 2022/5, Czech National Bank, Research and Statistics Department.
    28. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
    29. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    30. Antonello D'Agostino & Michele Modugno & Chiara Osbat, 2015. "A Global Trade Model for the Euro Area," Finance and Economics Discussion Series 2015-13, Board of Governors of the Federal Reserve System (U.S.).
    31. 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).
    32. Ignacio Garr'on & Andrey Ramos, 2025. "High-frequency Density Nowcasts of U.S. State-Level Carbon Dioxide Emissions," Papers 2501.03380, arXiv.org.
    33. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    34. Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
    35. 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.
    36. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    37. Alkhareif, Ryadh M. & Barnett, William A., 2020. "Nowcasting Real GDP for Saudi Arabia," MPRA Paper 104278, University Library of Munich, Germany.
    38. 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.
    39. Aastveit, Knut Are & Trovik, Tørres, 2014. "Estimating the output gap in real time: A factor model approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
    40. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
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    178. Maaß, Christina Heike, 2021. "Nowcast als Forecast: Neue Verfahren der BIP-Prognose in Echtzeit," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 101-127, Hamburg Institute of International Economics (HWWI).
    179. Tóth, Peter, 2017. "Nowcasting Slovak GDP by a Small Dynamic Factor Model," MPRA Paper 77245, University Library of Munich, Germany.
    180. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
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    183. Andreas Joseph & Eleni Kalamara & George Kapetanios & Galina Potjagailo & Chiranjit Chakraborty, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England.
    184. Michael Pfarrhofer, 2020. "Forecasts with Bayesian vector autoregressions under real time conditions," Papers 2004.04984, arXiv.org.
    185. Hayashi, Fumio & Tachi, Yuta, 2021. "The nowcast revision analysis extended," Economics Letters, Elsevier, vol. 209(C).
    186. Emilio Blanco & Fiorella Dogliolo & Lorena Garegnani, 2022. "Nowcasting during the Pandemic: Lessons from Argentina," BCRA Working Paper Series 202299, Central Bank of Argentina, Economic Research Department.
    187. Urasawa, Satoshi, 2014. "Real-time GDP forecasting for Japan: A dynamic factor model approach," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 116-134.
    188. Blasques, F. & Koopman, S.J. & Mallee, M. & Zhang, Z., 2016. "Weighted maximum likelihood for dynamic factor analysis and forecasting with mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 405-417.
    189. Červená, Marianna & Schneider, Martin, 2014. "Short-term forecasting of GDP with a DSGE model augmented by monthly indicators," International Journal of Forecasting, Elsevier, vol. 30(3), pages 498-516.
    190. Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

  31. Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.

    Cited by:

    1. Constantin Bürgi, 2023. "How to Deal With Missing Observations in Surveys of Professional Forecasters," CESifo Working Paper Series 10203, CESifo.
    2. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the Economic Value of Probabilistic Forecasts in the Presence of an Inflation Target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Richard K. Crump & Miro Everaert & Domenico Giannone & Sean Hundtofte, 2018. "Changing Risk-Return Profiles," Staff Reports 850, Federal Reserve Bank of New York.
    4. Li, Hongmin & Wang, Jianzhou & Lu, Haiyan & Guo, Zhenhai, 2018. "Research and application of a combined model based on variable weight for short term wind speed forecasting," Renewable Energy, Elsevier, vol. 116(PA), pages 669-684.
    5. Benjamin Avanzi & Yanfeng Li & Bernard Wong & Alan Xian, 2022. "Ensemble distributional forecasting for insurance loss reserving," Papers 2206.08541, arXiv.org, revised Jun 2024.
    6. Eckert, Florian & Hyndman, Rob J. & Panagiotelis, Anastasios, 2021. "Forecasting Swiss exports using Bayesian forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 291(2), pages 693-710.
    7. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    8. Jessup, Sébastien & Mailhot, Mélina & Pigeon, Mathieu, 2025. "Uncertainty in heteroscedastic Bayesian model averaging," Insurance: Mathematics and Economics, Elsevier, vol. 121(C), pages 63-78.
    9. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    10. Qian, Yilin & Thompson, Ryan & Vasnev, Andrey L, 2022. "Global combinations of expert forecasts," Working Papers BAWP-2022-02, University of Sydney Business School, Discipline of Business Analytics.
    11. Diebold, Francis X. & Shin, Minchul, 2019. "Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1679-1691.
    12. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    13. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    14. Roccazzella, Francesco & Gambetti, Paolo & Vrins, Frédéric, 2022. "Optimal and robust combination of forecasts via constrained optimization and shrinkage," International Journal of Forecasting, Elsevier, vol. 38(1), pages 97-116.
    15. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
    16. Petropoulos, Fotios & Spiliotis, Evangelos & Panagiotelis, Anastasios, 2023. "Model combinations through revised base rates," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1477-1492.
    17. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    18. Tony Chernis & Gary Koop & Emily Tallman & Mike West, 2024. "Decision synthesis in monetary policy," Papers 2406.03321, arXiv.org, revised Feb 2025.
    19. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    20. Ryan Thompson & Yilin Qian & Andrey L. Vasnev, 2022. "Flexible global forecast combinations," Papers 2207.07318, arXiv.org, revised Mar 2024.
    21. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2020. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates," Papers 2012.11649, arXiv.org, revised Jun 2022.
    22. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Domenico Sartore, 2018. "A scoring rule for factor and autoregressive models under misspecification," Working Papers 2018:18, Department of Economics, University of Venice "Ca' Foscari".
    23. Constantin Bürgi & Tara M. Sinclair, 2015. "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers 2015-006, The George Washington University, The Center for Economic Research.
    24. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Bank of Finland Research Discussion Papers 15/2016, Bank of Finland.
    25. Mehmanpazir, Farhad & Khalili-Damghani, Kaveh & Hafezalkotob, Ashkan, 2022. "Dynamic strategic planning: A hybrid approach based on logarithmic regression, system dynamics, Game Theory and Fuzzy Inference System (Case study Steel Industry)," Resources Policy, Elsevier, vol. 77(C).
    26. Fuentes, Julieta & Poncela, Pilar & Rodríguez, Julio, 2014. "Selecting and combining experts from survey forecasts," DES - Working Papers. Statistics and Econometrics. WS ws140905, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Zhentao Shi & Liangjun Su & Tian Xie, 2020. "L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis," Papers 2010.09477, arXiv.org, revised Aug 2022.
    28. Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2013. "Can macroeconomists forecast risk? Event-based evidence from the euro area SPF," Working Paper Series 1540, European Central Bank.
    29. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2014. "Improving Density Forecasts and Value-at-Risk Estimates by Combining Densities," Tinbergen Institute Discussion Papers 14-090/III, Tinbergen Institute.
    30. Tobias Adrian & Domenico Giannone & Matteo Luciani & Mike West, 2025. "Scenario Synthesis and Macroeconomic Risk," Papers 2505.05193, arXiv.org.
    31. Knotek, Edward S. & Zaman, Saeed, 2023. "Real-time density nowcasts of US inflation: A model combination approach," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
    32. Esteban Fernández-Vázquez & Blanca Moreno, 2017. "Entropy Econometrics for combining regional economic forecasts: A Data-Weighted Prior Estimator," Journal of Geographical Systems, Springer, vol. 19(4), pages 349-370, October.
    33. Chen, Yi-Ting & Liu, Chu-An & Su, Jiun-Hua, 2025. "Bregman model averaging for forecast combination," Journal of Econometrics, Elsevier, vol. 251(C).
    34. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    35. Roccazzella, Francesco & Candelon, Bertrand, 2022. "Should we care about ECB inflation expectations?," LIDAM Discussion Papers LFIN 2022004, Université catholique de Louvain, Louvain Finance (LFIN).
    36. Kiss, Tamás & Kladívko, Kamil & Silfverberg, Oliwer & Österholm, Pär, 2023. "Market participants or the random walk – who forecasts better? Evidence from micro-level survey data," Finance Research Letters, Elsevier, vol. 54(C).
    37. Tony Chernis, 2023. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers 23-45, Bank of Canada.
    38. Matsypura, Dmytro & Thompson, Ryan & Vasnev, Andrey L., 2018. "Optimal selection of expert forecasts with integer programming," Omega, Elsevier, vol. 78(C), pages 165-175.
    39. Niko Hauzenberger & Florian Huber & Karin Klieber, 2020. "Real-time Inflation Forecasting Using Non-linear Dimension Reduction Techniques," Papers 2012.08155, arXiv.org, revised Dec 2021.
    40. Espasa, Antoni & Senra, Eva, 2017. "22 Years of inflation assessment and forecasting experience at the bulletin of EU & US inflation and macroeconomic analysis," DES - Working Papers. Statistics and Econometrics. WS 24678, Universidad Carlos III de Madrid. Departamento de Estadística.
    41. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    42. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    43. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    44. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Dynamic predictive density combinations for large data sets in economics and finance," Working Paper 2015/12, Norges Bank.
    45. Martina Hengge, 2019. "Uncertainty as a Predictor of Economic Activity," IHEID Working Papers 19-2019, Economics Section, The Graduate Institute of International Studies.
    46. Jiun-Hua Su, 2021. "No-Regret Forecasting with Egalitarian Committees," Papers 2109.13801, arXiv.org.
    47. Deniz Igan & Thomas Lambert & Prachi Mishra & Eden Zhang, 2024. "The Politics of the Paycheck Protection Program," Working Papers 133, Ashoka University, Department of Economics.
    48. Francis X. Diebold & Minchul Shin, 2017. "Beating the Simple Average: Egalitarian LASSO for Combining Economic Forecasts," PIER Working Paper Archive 17-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 20 Aug 2017.
    49. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    50. Antoni Espasa & Eva Senra, 2017. "Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis," Econometrics, MDPI, vol. 5(4), pages 1-28, October.
    51. Víctor López-Pérez, 2017. "Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 147-174, February.

  32. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.

    Cited by:

    1. Gregor Bäurle & Daniel Kaufmann, 2014. "Exchange rate and price dynamics in a small open economy - the role of the zero lower bound and monetary policy regimes," Working Papers 2014-10, Swiss National Bank.
    2. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    3. Michal Franta & Jozef Barunik & Roman Horvath & Katerina Smidkova, 2011. "Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests," Working Papers 2011/10, Czech National Bank, Research and Statistics Department.
    4. Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
    5. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2025. "Uniform Priors for Impulse Responses," Econometrica, Econometric Society, vol. 93(2), pages 695-718, March.
    6. Massimo Guidolin, Serena Ionta, 2026. "Uncertain Climate Policy as a Source of Macro-Financial Shocks: Evidence from Carbon Futures Volatility," BAFFI CAREFIN Working Papers 26262, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    7. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    8. Yvonne Adema & Kees Folmer & Gerrit Hugo Heuvelen & Sonny Kuijpers & Rob Luginbuhl & Bas Scheer, 2020. "Unemployment Forecasts: Room for Improvement?," De Economist, Springer, vol. 168(3), pages 403-417, September.
    9. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
    10. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    11. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 934-943, September.
    12. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    13. Garik A. Petrosyan & Narek N. Karapetyan & Andranik A. Margaryan & Aleksei N. Sokolov & Irina I. Yakovleva & Anton I. Votinov, 2024. "Bayesian Approach to Forecasting Aggregate Taxes of the Republic of Armenia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 51-67, June.
    14. Mackowiak, Bartosz & Jarocinski, Marek, 2013. "Granger-Causal-Priority and Choice of Variables in Vector Autoregressions," CEPR Discussion Papers 9686, C.E.P.R. Discussion Papers.
    15. Oriol Gonzalez-Casasus & Frank Schorfheide, 2025. "Misspecification-Robust Shrinkage and Selection for VAR Forecasts and IRFs," PIER Working Paper Archive 25-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2025. "Informing DSGE Models Through Dynamic Factor Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(5), pages 487-507, August.
    17. Igan, Deniz & Kabundi, Alain & De Simone, Francisco Nadal & Tamirisa, Natalia, 2017. "Monetary policy and balance sheets," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 169-184.
    18. Dedola, Luca & Rivolta, Giulia & Stracca, Livio, 2017. "If the Fed sneezes, who catches a cold?," Working Paper Series 2050, European Central Bank.
    19. Andrei Dubovik & Adam Elbourne & Bram Hendriks & Mark Kattenberg, 2022. "Forecasting World Trade Using Big Data and Machine Learning Techniques," CPB Discussion Paper 441, CPB Netherlands Bureau for Economic Policy Analysis.
    20. Jeffrey R. Campbell & Filippo Ferroni & Jonas D. M. Fisher & Leonardo Melosi, 2019. "The Macroeconomic Effects of the 2018 Bipartisan Budget Act," Economic Perspectives, Federal Reserve Bank of Chicago, issue 2, pages 2-12.
    21. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    22. Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
    23. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," Cowles Foundation Discussion Papers 2289, Cowles Foundation for Research in Economics, Yale University.
    24. Michal Franta, 2012. "Macroeconomic Effects of Fiscal Policy in the Czech Republic: Evidence Based on Various Identification Approaches in a VAR Framework," Working Papers 2012/13, Czech National Bank, Research and Statistics Department.
    25. Zhang, Wen, 2020. "Political incentives and local government spending multiplier: Evidence for Chinese provinces (1978–2016)," Economic Modelling, Elsevier, vol. 87(C), pages 59-71.
    26. Mortaza OJAGHLOU & Begum KAYA SOZTANACI, 2022. "Interest Rate Pass-Through and Monetary Transmission Mechanism in Turkey," Isletme ve Iktisat Calismalari Dergisi, Econjournals, vol. 10(1), pages 46-54.
    27. Sebastian Ankargren & Mårten Bjellerup & Hovick Shahnazarian, 2017. "The importance of the financial system for the real economy," Empirical Economics, Springer, vol. 53(4), pages 1553-1586, December.
    28. 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.
    29. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    30. Kaufmann, Daniel & Bäurle, Gregor, 2013. "Exchange Rate and Price Dynamics at the Zero Lower Bound," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79872, Verein für Socialpolitik / German Economic Association.
    31. Michele Lenza & Jiri Slacalek, 2024. "How does monetary policy affect income and wealth inequality? Evidence from quantitative easing in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 746-765, August.
    32. Niko Hauzenberger & Florian Huber & Massimiliano Marcellino & Nico Petz, 2021. "Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty," Papers 2112.01995, arXiv.org, revised Nov 2022.
    33. Ricardo Nunes & Ali Ozdagli & Jenny Tang, 2022. "Interest Rate Surprises: A Tale of Two Shocks," Working Papers 2213, Federal Reserve Bank of Dallas.
    34. Andrew Haldane & Matt Roberts-Sklar & Tomasz Wieladek & Chris Young, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    35. Cristiana Belu Manescu & Ine Van Robays, 2016. "Forecasting the Brent Oil Price: Addressing Time-Variation in Forecast Performance," CESifo Working Paper Series 6242, CESifo.
    36. Doron Avramov & Si Cheng & Lior Metzker & Stefan Voigt, 2023. "Integrating Factor Models," Journal of Finance, American Finance Association, vol. 78(3), pages 1593-1646, June.
    37. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
    38. Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
    39. Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
    40. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    41. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    42. Juan Antolin-Diaz & Ivan Petrella & Juan F. Rubio-Ramirez, 2021. "Dividend Momentum and Stock Return Predictability: A Bayesian Approach," FRB Atlanta Working Paper 2021-25, Federal Reserve Bank of Atlanta.
    43. Mansur, Alfan, 2023. "Capital flow volatility regimes and monetary policy dilemma: Evidence from New Zealand," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    44. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    45. Silvia Miranda-Agrippino & Giovanni Ricco, 2017. "The transmission of monetary policy shocks," Bank of England working papers 657, Bank of England.
    46. Davide Brignone & Luca Gambetti & Martino Ricci, 2025. "Geopolitical risk shocks: when size matters," Bank of England working papers 1118, Bank of England.
    47. Beqiraj, Elton & Cao, Qingqing & Minetti, Raoul & Tarquini, Giulio, 2025. "Persistent slumps: Innovation and the credit channel of monetary policy," European Economic Review, Elsevier, vol. 172(C).
    48. Luca Pedini, 2024. "Tips and tricks for Bayesian VAR models in gretl," Computational Statistics, Springer, vol. 39(7), pages 3579-3597, December.
    49. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    50. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
    51. Nyholm, Juho & Silvo, Aino, 2022. "A model for predicting Finnish household loan stocks," BoF Economics Review 4/2022, Bank of Finland.
    52. Barbara Rossi & Tatevik Sekhposyan, 2013. "Evaluating predictive densities of U.S. output growth and inflation in a large macroeconomic data set," Economics Working Papers 1370, Department of Economics and Business, Universitat Pompeu Fabra.
    53. Ekaterina Pirozhkova & Nicola Viegi, 2024. "The bank lending channel of monetary policy transmission in South Africa," Working Papers 11072, South African Reserve Bank.
    54. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
    55. Michael W. McCracken & Joseph McGillicuddy & Michael T. Owyang, 2019. "Binary Conditional Forecasts," Working Papers 2019-029, Federal Reserve Bank of St. Louis, revised Apr 2021.
    56. Sergei Seleznev, 2019. "Truncated priors for tempered hierarchical Dirichlet process vector autoregression," Bank of Russia Working Paper Series wps47, Bank of Russia.
    57. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    58. Bokun, Kathryn O. & Jackson, Laura E. & Kliesen, Kevin L. & Owyang, Michael T., 2023. "FRED-SD: A real-time database for state-level data with forecasting applications," International Journal of Forecasting, Elsevier, vol. 39(1), pages 279-297.
    59. Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2019. "Macroeconomic Shocks and Changing Dynamics of the U.S. REITs Sector," Sustainability, MDPI, vol. 11(10), pages 1-12, May.
    60. Michael Pfarrhofer, 2024. "Forecasts with Bayesian vector autoregressions under real time conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
    61. Miranda-Agrippino, Silvia & Hacıoglu Hoke, Sinem, 2018. "When creativity strikes: news shocks and business cycle fluctuations," LSE Research Online Documents on Economics 90381, London School of Economics and Political Science, LSE Library.
    62. Balcilar, Mehmet & Gupta, Rangan & Kotzé, Kevin, 2015. "Forecasting macroeconomic data for an emerging market with a nonlinear DSGE model," Economic Modelling, Elsevier, vol. 44(C), pages 215-228.
    63. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    64. Degasperi,Riccardo & Hong, Seokki Simon & Ricco, Giovanni, 2020. "The Global Transmission of U.S. Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1257, University of Warwick, Department of Economics.
    65. Del Negro, Marco & Lenza, Michele & Primiceri, Giorgio E. & Tambalotti, Andrea, 2020. "What’s up with the Phillips Curve?," Working Paper Series 2435, European Central Bank.
    66. Koop, Gary & Korobilis, Dimitris, 2012. "Large time-varying parameter VARs," MPRA Paper 38591, University Library of Munich, Germany.
    67. Sinem Hacioglu Hoke, 2019. "Macroeconomic effects of political risk shocks," Bank of England working papers 841, Bank of England.
    68. Rangan Gupta & Chi Keung Marco Lau & Vasilios Plakandaras & Wing-Keung Wong, 2018. "The Role of Housing Sentiment in Forecasting US Home Sales Growth: Evidence from a Bayesian Compressed Vector Autoregressive Model," Working Papers 201842, University of Pretoria, Department of Economics.
    69. Tomasz Wozniak, 2016. "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series 2021, The University of Melbourne.
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    1. Stefan Behrendt, 2016. "Taking Stock - Credit Measures in Monetary Transmission," Jena Economics Research Papers 2016-002, Friedrich-Schiller-University Jena.
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    4. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    5. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    6. Fiorelli, Cristiana & Meliciani, Valentina, 2019. "Economic growth in the era of unconventional monetary instruments: A FAVAR approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
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    12. G. Peersman, 2011. "Bank Lending Shocks and the Euro Area Business Cycle," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/766, Ghent University, Faculty of Economics and Business Administration.
    13. António Afonso & António Jorge Silva, 2014. "The Monetary Transmission Mechanism in the Euro Area: has it changed with the EMU? A VAR approach, with fiscal policy and financial stress considerations," Working Papers Department of Economics 2014/10, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    14. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2018. "Bank capital constraints, lending supply and economic activity," Temi di discussione (Economic working papers) 1199, Bank of Italy, Economic Research and International Relations Area.
    15. Reichlin, Lucrezia & Pill, Huw, 2014. "Exceptional policies for exceptional times: The ECB's response to the rolling crises of the Euro Area, and how it has brought u," CEPR Discussion Papers 10193, C.E.P.R. Discussion Papers.
    16. Mandler, Martin & Scharnagl, Michael & Volz, Ute, 2016. "Heterogeneity in euro-area monetary policy transmission: Results from a large multi-country BVAR model," Discussion Papers 03/2016, Deutsche Bundesbank.
    17. Bartoletto, Silvana & Chiarini, Bruno & Marzano, Elisabetta & Piselli, Paolo, 2019. "Business cycles, credit cycles, and asymmetric effects of credit fluctuations: Evidence from Italy for the period of 1861–2013," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    18. Gertrud Errit & Lenno Uuskula, 2013. "Euro Area monetary policy transmission in Estonia," Bank of Estonia Working Papers wp2013-7, Bank of Estonia, revised 09 Dec 2013.
    19. Matteo Barigozzi & Antonio Conti, 2013. "On the Stability of Euro Area Money Demand and its Implications for Monetary Policy," LEM Papers Series 2013/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Peersman, Gert, 2011. "Macroeconomic effects of unconventional monetary policy in the euro area," Working Paper Series 1397, European Central Bank.
    21. Matteo Ciccarelli & Eva Ortega & Maria Teresa Valderrama, 2012. "Heterogeneity and cross-country spillovers in macroeconomic-financial linkages," Working Papers 1241, Banco de España.
    22. Samarina, Anna & Zhang, Lu & Bezemer, Dirk, 2017. "Credit cycle coherence in the eurozone: Was there a euro effect?," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 77-98.
    23. Iñaki Aldasoro & Robert Unger, 2017. "External financing and economic activity in the euro area - why are bank loans special?," BIS Working Papers 622, Bank for International Settlements.
    24. Giulia RIVOLTA, 2014. "An Event Study Analysis of ECB Unconventional Monetary Policy," Departmental Working Papers 2014-02, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    25. Afanasyeva, Elena, 2012. "Atypical Behavior of Money and Credit: Evidence From Conditional Forecasts," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 65405, Verein für Socialpolitik / German Economic Association.
    26. Anton, Roman, 2015. "Monetary Development and Transmission in the Eurosystem," MPRA Paper 67323, University Library of Munich, Germany, revised 08 Oct 2015.
    27. Matteo Farn'e & Angela Montanari, 2018. "A bootstrap test to detect prominent Granger-causalities across frequencies," Papers 1803.00374, arXiv.org, revised Oct 2018.
    28. Reichlin, Lucrezia, 2014. "Monetary Policy and Banks in the Euro Area: The Tale of Two Crises," Journal of Macroeconomics, Elsevier, vol. 39(PB), pages 387-400.
    29. João Tovar Jalles, 2019. "Monetary Aggregates and Macroeconomic Performance: the Portuguese Escudo, 1911-1999," Working Papers REM 2019/0102, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    30. International Monetary Fund, 2014. "Former Yugoslav Republic of Macedonia: Selected Issues," IMF Staff Country Reports 2014/232, International Monetary Fund.
    31. Breitenlechner, Maximilian & Scharler, Johann, 2016. "The Bank Lending Channel and the Market for Banks' Wholesale Funding," VfS Annual Conference 2016 (Augsburg): Demographic Change 145679, Verein für Socialpolitik / German Economic Association.
    32. Stefan Behrendt, 2017. "Unconventional Monetary Policy Effects on Bank Lending in the Euro Area," Jena Economics Research Papers 2017-002, Friedrich-Schiller-University Jena.
    33. Darracq-Paries, Matthieu & De Santis, Roberto A., 2015. "A non-standard monetary policy shock: The ECB's 3-year LTROs and the shift in credit supply," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 1-34.
    34. Francesco Zanetti & Philip Liu & Haroon Mumtaz and Konstantinos Theodoridis, 2017. "Changing Macroeconomic Dynamics at the Zero Lower Bound," Economics Series Working Papers 824, University of Oxford, Department of Economics.
    35. Victor Echevarria Icaza & Simón Sosvilla-Rivero, 2017. "Yields on sovereign debt, fragmentation and monetary policy transmission in the euro area: A GVAR approach," Working Papers 17-01, Asociación Española de Economía y Finanzas Internacionales.
    36. Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have standard VARs remained stable since the crisis?," Working Paper 2014/13, Norges Bank.
    37. David Cobham & Yue Kang, 2012. "Financial crisis and quantitative easing: can broad money tell us anything?," Heriot-Watt University Economics Discussion Papers 1206, Department of Economics, School of Management and Languages, Heriot Watt University.
    38. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
    39. Mercè Sala-Rios & Teresa Torres-Solé & Mariona Farré-Perdiguer, 2016. "Credit and business cycles’ relationship: evidence from Spain," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(3), pages 149-171, December.
    40. Elena Deryugina & Alexey Ponomarenko, 2015. "A large Bayesian vector autoregression model for Russia," Bank of Russia Working Paper Series wps1, Bank of Russia.
    41. Marzie Taheri Sanjani, 2014. "Financial Frictions in Data: Evidence and Impact," IMF Working Papers 2014/238, International Monetary Fund.
    42. Ute Volz & Martin Mandler & Michael Scharnagl, 2016. "Heterogeneity in Euro Area Monetary Policy Transmission: Results from a large Multi-Country BVAR," EcoMod2016 9609, EcoMod.
    43. Sandra Eickmeier & Leonardo Gambacorta & Boris Hofmann, 2013. "Understanding Global Liquidity," BIS Working Papers 402, Bank for International Settlements.
    44. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.

  34. Henry, Jerome & Giannone, Domenico & Lalik, Magdalena & Modugno, Michele, 2010. "An Area-Wide Real-Time Database for the Euro Area," CEPR Discussion Papers 7673, C.E.P.R. Discussion Papers.

    Cited by:

    1. Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
    2. Yutaka Kurihara, 2017. "Recent monetary policy effects on Japanese macroeconomy," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 5(5), pages 12-17, October.
    3. Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
    4. Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012. "Optimal Combination of Survey Forecasts," Working Papers ECARES ECARES 2012-023, ULB -- Universite Libre de Bruxelles.
    5. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
    6. Stefano Neri & Tiziano Ropele, 2012. "Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area," Economic Journal, Royal Economic Society, vol. 122(561), pages 651-674, June.
    7. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
    8. Bańkowski, Krzysztof & Faria, Thomas & Schall, Robert, 2022. "How well-behaved are revisions to quarterly fiscal data in the euro area?," Working Paper Series 2676, European Central Bank.
    9. Ansgar Belke & Jens Klose, 2011. "Does the ECB Rely on a Taylor Rule During the Financial Crisis? Comparing Ex-post and Real Time Data with Real Time Forecasts," Economic Analysis and Policy, Elsevier, vol. 41(2), pages 147-171, September.
    10. Gabe de Bondt, 2012. "Nowcasting: Trust the Purchasing Managers’ Index or wait for the flash GDP estimate?," EcoMod2012 3896, EcoMod.
    11. Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2021. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Bank of Russia Working Paper Series wps76, Bank of Russia.
    12. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    13. Lenza, Michele & Jarociński, Marek, 2016. "An inflation-predicting measure of the output gap in the euro area," Working Paper Series 1966, European Central Bank.
    14. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    15. M. Mogliani & Thomas Ferrière, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
    16. Jung, Alexander & El-Shagi, Makram & Giesen, Sebastian, 2013. "Does Central Bank Staff Beat Private Forecasters?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79925, Verein für Socialpolitik / German Economic Association.
    17. Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
    18. Jan Čapek & Jesús Crespo Cuaresma & Jakub Chalmovianský & Vlastimil Reichel, 2025. "Real‐Time Data, Revisions and the Predictive Ability of DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 87(6), pages 1059-1080, December.
    19. 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.
    20. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    21. Christiane Baumeister & Lutz Kilian, 2014. "What Central Bankers Need To Know About Forecasting Oil Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 869-889, August.
    22. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    23. Matteo Barigozzi & Claudio Lissona & Lorenzo Tonni, 2024. "Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy," Papers 2410.05082, arXiv.org, revised Nov 2025.
    24. Jung, Alexander, 2017. "Forecasting broad money velocity," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 421-432.
    25. Mark Gertler & Peter Karadi, 2013. "Macroeconomic effects of large-scale asset purchase programs," Research Bulletin, European Central Bank, vol. 18, pages 12-15.
    26. Matteo Ciccarelli & Angela Maddaloni, 2013. "Heterogeneous transmission mechanism and the credit channel in the euro area," Research Bulletin, European Central Bank, vol. 18, pages 2-8.
    27. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    28. Marcellino, Massimiliano & Musso, Alberto, 2011. "The reliability of real-time estimates of the euro area output gap," Economic Modelling, Elsevier, vol. 28(4), pages 1842-1856, July.
    29. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    30. Marios Polemidiotis & Maria C. Papageorghiou & Maria G. Mithillou, 2018. "Measuring the Competitiveness of the Cyprus Economy: the Case of Unit Labour Costs," Working Papers 2018-2, Central Bank of Cyprus.
    31. Nektarios Michail & George Thucydides, 2018. "Does Housing Wealth Affect Consumption? The Case of Cyprus," Working Papers 2018-3, Central Bank of Cyprus.
    32. Boysen-Hogrefe, Jens, 2014. "Monetary aggregates to improve early output gap estimates in the euro area: An empirical assessment," Kiel Working Papers 1908, Kiel Institute for the World Economy.
    33. Barbara Rossi & Tatevik Sekhposyan, 2017. "Macroeconomic uncertainty indices for the Euro Area and its individual member countries," Empirical Economics, Springer, vol. 53(1), pages 41-62, August.
    34. Vermeulen, Philip, 2012. "Quantifying the qualitative responses of the output purchasing managers index in the US and the Euro area," Working Paper Series 1417, European Central Bank.
    35. Marcellino, Massimiliano & Foroni, Claudia, 2014. "Markov-Switching Mixed-Frequency VAR Models," CEPR Discussion Papers 9815, C.E.P.R. Discussion Papers.
    36. Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024. "Back to the present: Learning about the euro area through a now-casting model," International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
    37. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
    38. Ana Lamo, 2013. "Firms’ adjustment during times of crisis," Research Bulletin, European Central Bank, vol. 18, pages 9-11.
    39. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    40. Naoko Hara & Hibiki Ichiue, 2010. "Real-time Analysis on Japan's Labor Productivity," Bank of Japan Working Paper Series 10-E-7, Bank of Japan.
    41. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    42. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    43. Modugno, Michele, 2013. "Now-casting inflation using high frequency data," International Journal of Forecasting, Elsevier, vol. 29(4), pages 664-675.
    44. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
    45. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    46. Smets, Frank & Warne, Anders & Wouters, Raf, 2013. "Professional forecasters and the real-time forecasting performance of an estimated new keynesian model for the euro area," Working Paper Series 1571, European Central Bank.
    47. Michael Pfarrhofer & Anna Stelzer, 2019. "High-frequency and heteroskedasticity identification in multicountry models: Revisiting spillovers of monetary shocks," Papers 1912.03158, arXiv.org, revised Dec 2024.
    48. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," JRC Working Papers in Economics and Finance 2019-03, Joint Research Centre, European Commission.
    49. Olivier BIAU & Angela D´ELIA, 2010. "A Non-Balanced Survey-Based Indicator to Track Industrial Production," EcoMod2010 259600028, EcoMod.
    50. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    51. Joan Paredes & Diego J. Pedregal & Javier J. Pérez, 2009. "A quarterly fiscal database for the euro area based on intra-annual fiscal information," Working Papers 0935, Banco de España.
    52. 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.
    53. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy.
    54. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    55. Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2014. "Short-term inflation projections: A Bayesian vector autoregressive approach," International Journal of Forecasting, Elsevier, vol. 30(3), pages 635-644.
    56. Enrico D'Elia, 2014. "Predictions vs. preliminary sample estimates: the case of eurozone quarterly GDP," Working Papers 2, Department of the Treasury, Ministry of the Economy and of Finance.
    57. Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg, 2023. "Empirical DSGE model evaluation with interest rate expectations measures and preferences over safe assets," Working Paper Research 433, National Bank of Belgium.
    58. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    59. Zakipour-Saber, Shayan, 2019. "Forecasting in the euro area: The role of the US long rate," Economic Letters 5/EL/19, Central Bank of Ireland.
    60. Natacha Valla & Thomas Brand & Sébastien Doisy, 2014. "A New Architecture for Public Investment in Europe," CEPII Policy Brief 2014-04, CEPII research center.
    61. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
    62. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    63. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.
    64. Asimakopoulos, Stylianos & Lalik, Magdalena & Paredes, Joan & Salvado García, José, 2023. "GDP revisions are not cool: the impact of statistical agencies’ trade-off," Working Paper Series 2857, European Central Bank.
    65. D'Elia, Enrico, 2012. "A case study: the revisions and forecasts of Euro Area quarterly GDP," MPRA Paper 40264, University Library of Munich, Germany.
    66. Kenny, Geoff & Genre, Véronique & Meyler, Aidan & Timmermann, Allan, 2010. "Combining the forecasts in the ECB survey of professional forecasters: can anything beat the simple average?," Working Paper Series 1277, European Central Bank.
    67. Marcellino, Massimiliano & Musso, Alberto, 2010. "Real time estimates of the euro area output gap: reliability and forecasting performance," Working Paper Series 1157, European Central Bank.
    68. Nicolas Pinkwart, 2011. "Zur Stabilität von Saisonbereinigungsverfahren: Eine Echtzeitdaten-Analyse am Beispiel BV4.1 und X-12-ARIMA," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(2), pages 125-144, August.
    69. Thomas Brand, 2017. "Vitesse et composition des ajustements budgétaires en équilibre général : une analyse appliquée à la zone euro," Revue économique, Presses de Sciences-Po, vol. 68(HS1), pages 159-182.
    70. Klose, Jens, 2011. "Asymmetric Taylor reaction functions of the ECB: An approach depending on the state of the economy," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 149-163, August.
    71. Michael Pfarrhofer, 2020. "Forecasts with Bayesian vector autoregressions under real time conditions," Papers 2004.04984, arXiv.org.
    72. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.

  35. Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2010. "Nowcasting," CEPR Discussion Papers 7883, C.E.P.R. Discussion Papers.

    Cited by:

    1. David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
    2. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    3. Martin Feldkircher & Florian Huber & Josef Schreiner & Marcel Tirpák & Peter Tóth & Julia Wörz, 2015. "Bridging the information gap: small-scale nowcasting models of GDP growth for selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 56-75.

  36. Reichlin, Lucrezia & Giannone, Domenico & Lenza, Michele, 2010. "Market freedom and the global recession," CEPR Discussion Papers 7884, C.E.P.R. Discussion Papers.

    Cited by:

    1. Georgiadis, Georgios, 2015. "Determinants of global spillovers from US monetary policy," Working Paper Series 1854, European Central Bank.
    2. Philip Lane, 2010. "International Differences in Fiscal Policy During the Global Crisis," The Institute for International Integration Studies Discussion Paper Series iiisdp336, IIIS.
    3. José-Luis Peydró [AP BACKUP – NOW EXTERNAL] & Caterina Mendicino & Ettore Panetti & Dominik Supera & Martina Jašová & José-Luis Peydró, 2022. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registers," Working Papers 1338, Barcelona School of Economics.
    4. Andreas Brunhart, 2025. "Country size and exposure to international economic shocks: new evidence from the Financial Crisis," International Economics and Economic Policy, Springer, vol. 22(3), pages 1-49, July.
    5. Chinazzi, Matteo & Fagiolo, Giorgio & Reyes, Javier A. & Schiavo, Stefano, 2013. "Post-mortem examination of the international financial network," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1692-1713.
    6. Saravelo, George & Frankel, Jeffrey A., 2011. "Can Leading Indicators Assess Country Vulnerability? Evidence from the 2008-09 Global Financial Crisis," Scholarly Articles 5027952, Harvard Kennedy School of Government.
    7. Chen Ray-Bing & Chen Yi-Chi & Chu Chi-Hsiang & Lee Kuo-Jung, 2017. "On the determinants of the 2008 financial crisis: a Bayesian approach to the selection of groups and variables," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-17, December.
    8. Sok-Gee Chan & Mohd Zaini Abd Karim, 2016. "Financial market regulation, country governance, and bank efficiency: Evidence from East Asian countries," Contemporary Economics, Vizja University, vol. 10(1), March.
    9. Bose, Udichibarna & MacDonald, Ronald & Tsoukas, Serafeim, 2015. "Education and the local equity bias around the world," SIRE Discussion Papers 2015-76, Scottish Institute for Research in Economics (SIRE).
    10. Yongming Shi & Khalid Ahmed & Sudharshan Reddy Paramati, 2021. "Determinants of stock market development and price volatility in ASEAN plus three countries: The role of institutional quality," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 560-572, January.
    11. Angelos Kotios & George Galanos, 2012. "The International Economic Crisis and the Crisis of Economics," The World Economy, Wiley Blackwell, vol. 35(7), pages 869-885, July.
    12. Ali Mirzaei & Ali M Kutan, 2016. "Does Bank Diversification Improve Output Growth? Evidence from the Recent Global Crisis," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 467-481, September.
    13. Perugini, Cristiano & Hölscher, Jens & Collie, Simon, 2013. "Inequality, credit expansion and financial crises," MPRA Paper 51336, University Library of Munich, Germany.
    14. Mirzaei, Ali & Grosse, Robert, 2019. "The interaction of quantity and quality of finance: Did it make industries more resilient to the recent global financial crisis?," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 493-512.
    15. ATI Abdessatar & BEN JAZIA Rachida, 2013. "Institutional Quality And Financial Stress: Experience From Emerging Country," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(3), pages 5-20, December.
    16. Chowdhury, M. Ashraful Ferdous & Haque, M. Mahmudul & Alhabshi, Syed Othman & Masih, Abul Mansur M., 2016. "Socioeconomic Development and Its Effect on Performance of Islamic Banks: Dynamic Panel Approaches," MPRA Paper 71888, University Library of Munich, Germany.
    17. Ostry, Jonathan D. & Furceri, Davide & Ganslmeier, Michael & Yang, Naihan, 2021. "Initial Output Losses from the Covid-19 Pandemic: Robust Determinants," CEPR Discussion Papers 15892, C.E.P.R. Discussion Papers.
    18. Rey, Hélène & Gourinchas, Pierre-Olivier & Truempler, Kai Alexander, 2011. "The Financial Crisis and the Geography of Wealth Transfers," CEPR Discussion Papers 8567, C.E.P.R. Discussion Papers.
    19. Chortareas, Georgios & Kapetanios, George & Ventouri, Alexia, 2016. "Credit market freedom and cost efficiency in US state banking," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 173-185.
    20. Güneş Kamber & Christoph Thoenissen, 2013. "Financial Exposure and the International Transmission of Financial Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 127-158, December.
    21. Wilms, Philip & Swank, Job & de Haan, Jakob, 2018. "Determinants of the real impact of banking crises: A review and new evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 54-70.
    22. Branimir Jovanovic, 2012. "How Policy Actions Affect Short-term Post-crisis Recovery?," CEIS Research Paper 253, Tor Vergata University, CEIS, revised 05 Oct 2012.
    23. Dwyer, Shane & Tan, Chih Ming, 2014. "Hits and runs: Determinants of the cross-country variation in the severity of impact from the 2008–09 financial crisis," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 69-90.
    24. Paul Hallwood & Ronald MacDonald, 2014. "Picking The Right Budget Constraint For Scotland," Working Papers 2014_18, Business School - Economics, University of Glasgow.
    25. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    26. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," CEPR Discussion Papers 13662, C.E.P.R. Discussion Papers.
    27. Imbs, Jean, 2010. "The First Global Recession in Decades," CEPR Discussion Papers 7973, C.E.P.R. Discussion Papers.
    28. Altug, Sumru & Neyapti, Bilin & Emin, Mustafa, 2012. "Institutions and Business Cycles," CEPR Discussion Papers 8728, C.E.P.R. Discussion Papers.
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    85. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.
    86. Chan, Joshua C.C. & Pettenuzzo, Davide & Poon, Aubrey & Zhu, Dan, 2025. "Conditional forecasts in large Bayesian VARs with multiple equality and inequality constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 173(C).
    87. Elena Angelini & Michele Ca' Zorzi, 2014. "External and macroeconomic adjustment in Spain and Germany," Research Bulletin, European Central Bank, vol. 20, pages 9-12.
    88. Solikin M. Juhro & Bernard Njindan Iyke, 2019. "Forecasting Indonesian Inflation Within An Inflation-Targeting Framework: Do Large-Scale Models Pay Off?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 423-436, December.
    89. Giovanni Amisano & Oreste Tristani, 2011. "The euro area sovereign crisis: monitoring spillovers and contagion," Research Bulletin, European Central Bank, vol. 14, pages 2-4.
    90. Andras Chabin & Sébastien Lamproye & Milan Výškrabka, 2020. "Are We More Accurate? Revisiting the European Commission’s Macroeconomic Forecasts," European Economy - Discussion Papers 128, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    91. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.
    92. Susan Sunila Sharma, 2019. "WHICH VARIABLES PREDICT INDONESIA’s INFLATION?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(1), pages 87-102, April.
    93. Guido Bulligan & Eliana Viviano, 2017. "Has the wage Phillips curve changed in the euro area?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-22, December.
    94. Kenny, Geoff & Genre, Véronique & Meyler, Aidan & Timmermann, Allan, 2010. "Combining the forecasts in the ECB survey of professional forecasters: can anything beat the simple average?," Working Paper Series 1277, European Central Bank.
    95. Mandler, Martin & Scharnagl, Michael, 2019. "Bank loan supply shocks and alternative financing of non-financial corporations in the euro area," Discussion Papers 23/2019, Deutsche Bundesbank.
    96. Joshua C. C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2020. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 692-711, September.
    97. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
    98. Ciccarelli, Matteo & Osbat, Chiara, 2017. "Low inflation in the euro area: Causes and consequences," Occasional Paper Series 181, European Central Bank.
    99. Tumala, Mohammed M & Olubusoye, Olusanya E & Yaaba, Baba N & Yaya, OlaOluwa S & Akanbi, Olawale B, 2017. "Forecasting Nigerian Inflation using Model Averaging methods: Modelling Frameworks to Central Banks," MPRA Paper 88754, University Library of Munich, Germany, revised Feb 2018.
    100. Frank Smets, 2010. "Commetary: modeling inflation after the crisis," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 221-234.
    101. Cobb, Marcus P A, 2017. "Aggregate Density Forecasting from Disaggregate Components Using Large VARs," MPRA Paper 76849, University Library of Munich, Germany.
    102. Garegnani, Lorena & Gómez Aguirre, Maximiliano, 2018. "Forecasting Inflation in Argentina," IDB Publications (Working Papers) 8940, Inter-American Development Bank.

  38. Michele Lenza & Giorgio Primiceri & Domenico Giannone, 2010. "Prior Selection for Bayesian VARs," 2010 Meeting Papers 508, Society for Economic Dynamics.

    Cited by:

    1. Kaabia, Olfa & Abid, Ilyes & Mkaouar, Farid, 2016. "The dark side of the black gold shock onto Europe: One stock's joy is another stock's sorrow," Economic Modelling, Elsevier, vol. 58(C), pages 642-654.

  39. Reichlin, Lucrezia & Pill, Huw & Giannone, Domenico & Lenza, Michele, 2010. "Non-standard Monetary Policy Measures and Monetary Developments," CEPR Discussion Papers 8125, C.E.P.R. Discussion Papers.

    Cited by:

    1. A Durré & H Pill, 2012. "Central Bank balance sheets as policy tools," BIS Papers chapters, in: Bank for International Settlements (ed.), Are central bank balance sheets in Asia too large?, volume 66, pages 193-213, Bank for International Settlements.
    2. Marco Casiraghi & Eugenio Gaiotti & Lisa Rodano & Alessandro Secchi, 2013. "The impact of unconventional monetary policy on the Italian economy during the sovereign debt crisis," Questioni di Economia e Finanza (Occasional Papers) 203, Bank of Italy, Economic Research and International Relations Area.
    3. M. Hashem Pesaran & Ron P Smith, 2014. "Counterfactual Analysis in Macroeconometrics: An Empirical Investigation into the Effects of Quantitative Easing," Birkbeck Working Papers in Economics and Finance 1406, Birkbeck, Department of Economics, Mathematics & Statistics.
    4. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    5. Falagiarda, Matteo & Reitz, Stefan, 2013. "Announcements of ECB unconventional programs: Implications for the sovereign risk of Italy," Kiel Working Papers 1866, Kiel Institute for the World Economy.
    6. Falagiarda, Matteo & Reitz, Stefan, 2015. "Announcements of ECB unconventional programs: Implications for the sovereign spreads of stressed euro area countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 276-295.
    7. Arnold, Ivo J.M. & Soederhuizen, Beau, 2018. "Bank stability and refinancing operations during the crisis: Which way causality?," Research in International Business and Finance, Elsevier, vol. 43(C), pages 79-89.
    8. Stephanos Papadamou & Eleftherios Spyromitros & Nikolaos A. Kyriazis, 2018. "Quantitative easing effects on commercial bank liability and government yields in UK: A threshold cointegration approach," International Economics and Economic Policy, Springer, vol. 15(2), pages 353-371, April.
    9. Roberto A. De Santis & Carlo A. Favero & Barbara Roffia, 2012. "Euro Area Money Demand and International Portfolio Allocation: A Contribution to Assessing Risks to Price Stability," Working Papers 432, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    10. Milošević Andriana & Jemović Mirjana, 2017. "Non-Standard Measures of the Monetary Policy – Mechanism for Overcoming Problems in the Implementation of the Neoliberal Concept of Monetary Policy During a Financial Crisis," Economic Themes, Sciendo, vol. 55(4), pages 465-480, December.
    11. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    12. Sophocles Brissimis & Eugenie Garganas & Stephen G. Hall, 2012. "Consumer credit in an era of financial liberalisation: an overreaction to repressed demand?," Working Papers 148, Bank of Greece.
    13. Ludger Schuknecht, 2019. "Fiscal-Financial Vulnerabilities," CESifo Working Paper Series 7776, CESifo.
    14. Carlo Altavilla & Domenico Giannone & Michele Lenza, 2014. "The Financial and Macroeconomic Effects of the OMT Announcements," CSEF Working Papers 352, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    15. Derya Yılmaz, 2015. "Unconventional Monetary Policies in the Eurozone: Considering Theoretical Backgrounds and Policy Outcomes," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, vol. 6(3), pages 51-68.
    16. Kotaro Ishi & Mr. Kenji Fujita & Mr. Mark R. Stone, 2011. "Should Unconventional Balance Sheet Policies Be Added to the Central Bank toolkit? a Review of the Experience so Far," IMF Working Papers 2011/145, International Monetary Fund.
    17. Drudi, Francesco & Durré, Alain & Mongelli, Francesco Paolo, 2012. "The interplay of economic reforms and monetary policy: the case of the euro area," Working Paper Series 1467, European Central Bank.
    18. Afanasyeva, Elena, 2013. "Atypical behavior of credit: Evidence from a monetary VAR," IMFS Working Paper Series 70, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    19. Maciej Ryczkowski, 2015. "Is deflation trap a serious threat? Case study of FED, ECB and NBP," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 14(2), pages 243-259, June.
    20. John H. Rogers & Chiara Scotti & Jonathan H. Wright, 2014. "Evaluating Asset-Market Effects of Unconventional Monetary Policy: A Cross-Country Comparison," International Finance Discussion Papers 1101, Board of Governors of the Federal Reserve System (U.S.).
    21. António Afonso & António Jorge Silva, 2014. "The Monetary Transmission Mechanism in the Euro Area: has it changed with the EMU? A VAR approach, with fiscal policy and financial stress considerations," Working Papers Department of Economics 2014/10, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    22. Jean-Claude Trichet, 2013. "Unconventional Monetary Policy Measures: Principles-Conditions-Raison d’etre," International Journal of Central Banking, International Journal of Central Banking, vol. 9(1), pages 229-250, January.
    23. Harald Hau & Sandy Lai, 2013. "Asset Allocation and Monetary Policy: Evidence from the Eurozone," Working Papers 222013, Hong Kong Institute for Monetary Research.
    24. Domenico Giannone & Michèle Lenza & Huw Pill & Lucrezia Reichlin, 2012. "The ECB and the Interbank Market," Working Papers ECARES ECARES 2012-005, ULB -- Universite Libre de Bruxelles.
    25. Michael Joyce & David Miles & Andrew Scott & Dimitri Vayanos, 2012. "Quantitative Easing and Unconventional Monetary Policy – an Introduction," Economic Journal, Royal Economic Society, vol. 122(564), pages 271-288, November.
    26. Martina Cecioni & Giuseppe Ferrero & Alessandro Secchi, 2011. "Unconventional Monetary Policy in Theory and in Practice," Questioni di Economia e Finanza (Occasional Papers) 102, Bank of Italy, Economic Research and International Relations Area.
    27. Qianying Chen & Andrew Filardo & Dong He & Feng Zhu, 2012. "International spillovers of central bank balance sheet policies," BIS Papers chapters, in: Bank for International Settlements (ed.), Are central bank balance sheets in Asia too large?, volume 66, pages 220-264, Bank for International Settlements.
    28. Reichlin, Lucrezia & Giannone, Domenico & Lenza, Michele, 2012. "Money, credit, monetary policy and the business cycle in the euro area," CEPR Discussion Papers 8944, C.E.P.R. Discussion Papers.
    29. David ARISTEI & Manuela Gallo, 2012. "Interest Rate Pass-Through in the Euro Area during the Financial Crisis: a Multivariate Regime-Switching Approach," Quaderni del Dipartimento di Economia, Finanza e Statistica 107/2012, Università di Perugia, Dipartimento Economia.
    30. Kristóf Lehmann & Róbert Mátrai & György Pulai, 2013. "Measures taken by the Federal Reserve System and the European Central Bank during the crisis," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 8(Special), pages 98-107, October.
    31. Leila Simona TALANI, 2014. "The Political Economy of Italy in the EMU: What Went Wrong?," Journal of Economics and Political Economy, KSP Journals, vol. 1(2), pages 133-149, December.
    32. Abbassi, Puriya & Linzert, Tobias, 2012. "The effectiveness of monetary policy in steering money market rates during the financial crisis," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 945-954.
    33. Bank for International Settlements, 2016. "Expanding the boundaries of monetary policy in Asia and the Pacific," BIS Papers, Bank for International Settlements, number 88, March.
    34. Giulia RIVOLTA, 2014. "An Event Study Analysis of ECB Unconventional Monetary Policy," Departmental Working Papers 2014-02, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    35. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    36. Anindya Banerjee & Victor Bystrov & Paul Mizen, 2017. "Structural Factor Analysis of Interest Rate Pass Through In Four Large Euro Area Economies," Working Papers in Economics 17/07, University of Canterbury, Department of Economics and Finance.
    37. Renne, Jean-Paul, 2016. "A tractable interest rate model with explicit monetary policy rates," European Journal of Operational Research, Elsevier, vol. 251(3), pages 873-887.
    38. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    39. Francisco Serranito & Philipp RODERWEIS & Jamel Saadaoui, 2023. "Is Quantitative Easing Productive? The Role of Bank Lending in the Monetary Transmission Process," EconomiX Working Papers 2023-17, University of Paris Nanterre, EconomiX.
    40. Feldkircher Martin & Gruber Thomas & Huber Florian, 2019. "International effects of a compression of euro area yield curves," Working Papers in Economics 2019-1, University of Salzburg.
    41. Reichlin, Lucrezia, 2014. "Monetary Policy and Banks in the Euro Area: The Tale of Two Crises," Journal of Macroeconomics, Elsevier, vol. 39(PB), pages 387-400.
    42. Lubomira Gertler, 2015. "Interactions of Unconventional Monetary Policy Measures with the Euro Area Yield Curve," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(2), pages 106-126, March.
    43. Đorđe Đukić & Mališa Đukić, 2011. "The Influence of Interbank Money Market Stress Levels on Credit Markets During the Postcrisis Period in US And Euro Area," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(189), pages 7-26, April – J.
    44. Altavilla, Carlo & Boucinha, Miguel & Peydró, José-Luis, 2017. "Monetary policy and bank profitability in a low interest rate environment," Working Paper Series 2105, European Central Bank.
    45. Marco Casiraghi & Eugenio Gaiotti & Lisa Rodano & Alessandro Secchi, 2016. "ECB Unconventional Monetary Policy and the Italian Economy during the Sovereign Debt Crisis," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 269-315, June.
    46. Rieth, Malte & Fratzscher, Marcel, 2014. "Monetary policy, bank bailouts and the sovereign-bank risk nexus in the euro area," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100277, Verein für Socialpolitik / German Economic Association.
    47. Christian Glocker & Pascal Towbin, 2012. "The Macroeconomic Effects Of Reserve Requirements," EcoMod2012 3850, EcoMod.
    48. Reichlin, Lucrezia, 2013. "The ECB and the banks: the tale of two crises," CEPR Discussion Papers 9647, C.E.P.R. Discussion Papers.
    49. David Cobham & Yue Kang, 2012. "Financial crisis and quantitative easing: can broad money tell us anything?," Heriot-Watt University Economics Discussion Papers 1206, Department of Economics, School of Management and Languages, Heriot Watt University.
    50. Pablo Burriel & Alessandro Galesi, 2016. "Uncovering the heterogeneous effects of ecb unconventional monetary policies across euro area countries," Working Papers 1631, Banco de España.
    51. Alexandros Skouralis, 2023. "The Role of Systemic Risk Spillovers in the Transmission of Euro Area Monetary Policy," Open Economies Review, Springer, vol. 34(5), pages 1079-1106, November.
    52. Maciej Ryczkowski, 2015. "Ewolucja pogladow Miltona Friedmana, a ocena polityki pienieznej Fed i EBC w okresie kryzysu finansowego," Working Papers 168/2015, Institute of Economic Research, revised Dec 2015.
    53. Paul Mizen, 2016. "Comments on "Financial globalisation and monetary independence"," BIS Papers chapters, in: Bank for International Settlements (ed.), Expanding the boundaries of monetary policy in Asia and the Pacific, volume 88, pages 227-230, Bank for International Settlements.
    54. Hlebik Sviatlana & Verga Giovanni, 2015. "The European Central Bank Quantitative Policy and Its Consistency with the Demand for Liquidity," Scientific Annals of Economics and Business, Sciendo, vol. 62(3), pages 425-451, November.
    55. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  40. Reichlin, Lucrezia & Giannone, Domenico & Lenza, Michele, 2009. "Business Cycles in the Euro Area," CEPR Discussion Papers 7124, C.E.P.R. Discussion Papers.

    Cited by:

    1. Inekwe, John Nkwoma, 2020. "Liquidity connectedness and output synchronisation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    2. Douglas Sutherland & Peter Hoeller & Balázs Égert & Oliver Röhn, 2010. "Counter-cyclical Economic Policy," OECD Economics Department Working Papers 760, OECD Publishing.
    3. Sebnem Kalemli-Ozcan & Elias Papaioannou & José-Luis Peydró, 2013. "Financial Regulation, Financial Globalization, and the Synchronization of Economic Activity," Journal of Finance, American Finance Association, vol. 68(3), pages 1179-1228, June.
    4. Paolo Guarda & Philippe Jeanfils, 2012. "Macro-financial linkages: Evidence from country-specific VARs," BCL working papers 71, Central Bank of Luxembourg.
    5. Albert Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis : this time was different," Documents de Travail de l'OFCE 2019-11, Observatoire Francais des Conjonctures Economiques (OFCE).
    6. Luis J. Álvarez & M.ª Dolores Gadea & Ana Gómez Loscos, 2021. "La evolución cíclica de la economía española en el contexto europeo," Occasional Papers 2103, Banco de España.
    7. Ataman Ozyildirim & Brian Schaitkin & Victor Zarnowitz, 2010. "Business cycles in the euro area defined with coincident economic indicators and predicted with leading economic indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 6-28.
    8. Alejandro Jara & Néstor Romero, 2016. "Sincronía internacional de los precios de la vivienda," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(1), pages 76-91, April.
    9. Imbs, Jean & Pauwels, Laurent, 2020. "High Order Openness," CEPR Discussion Papers 14653, C.E.P.R. Discussion Papers.
    10. Martin Gächter & Aleksandra Riedl & Doris Ritzberger-Grünwald, 2012. "Business Cycle Synchronization in the Euro Area and the Impact of the Financial Crisis," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 33-60.
    11. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2014. "Hazardous times for monetary policy: what do twenty-three million bank loans say about the effects of monetary policy on credit risk-taking?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82(2), pages 463-505.
    12. Alain Kabundi & Francisco Nadal De Simone, 2011. "France in the global economy: a structural approximate dynamic factor model analysis," Empirical Economics, Springer, vol. 41(2), pages 311-342, October.
    13. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok, 2013. "Regionalization vs. globalization," Working Papers 2013-002, Federal Reserve Bank of St. Louis.
    14. Merih Uctum & Remzi Uctum & Chu-Ping C Vijverberg, 2021. "The European growth synchronization through crises and structural changes," Post-Print hal-03319011, HAL.
    15. Ongena, Steven & Peydró, José-Luis & Jiménez, Gabriel & Saurina, Jesús, 2010. "Credit Supply: Identifying Balance-Sheet Channels with Loan Applications and Granted Loans," CEPR Discussion Papers 7655, C.E.P.R. Discussion Papers.
    16. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    17. Ramon Marimon, 2017. "On the Design of a European Unemployment Insurance Mechanism," 2017 Meeting Papers 1042, Society for Economic Dynamics.
    18. Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    19. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    20. Cristian Stefan Ovidiu, 2011. "The Risks Of A Too Quick Euro Adoption By The Eu Member States. The Case Of Portugal," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 25-32, December.
    21. Tomas Adam & Robert Ambrisko & Oxana Babecka Kucharcukova & Jan Babecky & Sona Benecka & Jan Bruha & Vilma Dingova & Dana Hajkova & Tomas Holub & Eva Hromadkova & David Kocourek & Lubos Komarek & Zlat, 2014. "Analyses of the Czech Republic's Current Economic Alignment with the Euro Area 2014," Occasional Publications - Edited Volumes, Czech National Bank, Research and Statistics Department, number as14 edited by Kamila Kulhava & Jakub Mateju.
    22. Cesa-Bianchi, Ambrogio & Imbs, Jean & Saleheen, Jumana, 2019. "Finance and synchronization," Journal of International Economics, Elsevier, vol. 116(C), pages 74-87.
    23. Müller, Gernot & Enders, Zeno & Jung, Philip, 2012. "Has the Euro changed the Business Cycle?," CEPR Discussion Papers 9233, C.E.P.R. Discussion Papers.
    24. Melisso Boschi & Massimiliano Marzo & Simone Salotti, 2013. "Domestic Versus International Determinants of European Business Cycles: A GVAR Approach," CAMA Working Papers 2013-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    25. Povilas Lastauskas & Julius Stakenas, 2021. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Bank of Lithuania Working Paper Series 87, Bank of Lithuania.
    26. Lambrias, Kyriacos, 2011. "World Technology Shocks and the Real Euro-Dollar Exchange Rate," TSE Working Papers 11-261, Toulouse School of Economics (TSE).
    27. Gerhard Kempkes, 2014. "Cyclical Adjustment in Fiscal Rules: Some Evidence on Real-Time Bias for EU-15 Countries," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 70(2), pages 278-315, June.
    28. He, Qing & Liu, Junyi & Xue, Chang & Zhou, Shaojie, 2020. "Bureaucratic integration and synchronization of regional economic growth: Evidence from China," China Economic Review, Elsevier, vol. 63(C).
    29. Tommaso Ferraresi & Andrea Roventini & Willi Semmler, 2016. "Macroeconomic regimes, technological shocks and employment dynamics," Documents de Travail de l'OFCE 2016-19, Observatoire Francais des Conjonctures Economiques (OFCE).
    30. Zouri, Stéphane, 2019. "Business cycles,bilateral trade and international financial intergration : Evidence from Economic Community of West African States (ECOWAS)," MPRA Paper 98748, University Library of Munich, Germany.
    31. Robert Pater, 2014. "Are there two types of business cycles? a note on crisis detection," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(3), pages 1-28, December.
    32. Correia, L. & Gouveia, S., 2013. "Business cycle synchronisation at the regional level: evidence for the Portuguese regions," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1), pages 91-104.
    33. Nauro Campos & Corrado Macchiarelli, 2020. "Brexit and the Euro," LEQS – LSE 'Europe in Question' Discussion Paper Series 154, European Institute, LSE.
    34. Paul De Grauwe & Yuemei Ji, 2017. "The International Synchronisation of Business Cycles: the Role of Animal Spirits," Open Economies Review, Springer, vol. 28(3), pages 383-412, July.
    35. Julius Agbor Agbor, 2013. "The Future of the CEMAC CFA FRANC," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 1(1), pages 1-17.
    36. Fritz Breuss, 2009. "10 Jahre WWU – Erfolge, Schwächen und Herausforderungen," WIFO Monatsberichte (monthly reports), WIFO, vol. 82(1), pages 61-84, January.
    37. Ángel Estrada & Jordi Galí & David López-Salido, 2013. "Patterns of convergence and divergence in the euro area," Economics Working Papers 1386, Department of Economics and Business, Universitat Pompeu Fabra.
    38. Ms. Natalia T. Tamirisa & Alain N. Kabundi & Ms. Deniz O Igan & Mr. Francisco d Nadal De Simone & Marcelo Pinheiro, 2009. "Three Cycles: Housing, Credit, and Real Activity," IMF Working Papers 2009/231, International Monetary Fund.
    39. Fritz Breuss, 2009. "Ten Years of EMU – Achievements, Weaknesses, Challenges," Austrian Economic Quarterly, WIFO, vol. 14(1), pages 49-72, April.
    40. Marc-Alexandre Sénégas, 2010. "La théorie des zones monétaires optimales au regard de l'euro : Quels enseignements après dix années d'union économique et monétaire en Europe ?," Revue d'économie politique, Dalloz, vol. 120(2), pages 379-419.
    41. Fendel, Ralf & Neumann, Christian, 2021. "Tail risk in the European sovereign bond market during the financial crises: Detecting the influence of the European Central Bank," Global Finance Journal, Elsevier, vol. 50(C).
    42. Balcilar, Mehmet & Kutan, Ali M. & Yaya, Mehmet E., 2017. "Testing the dependency theory on small island economies: The case of Cyprus," Economic Modelling, Elsevier, vol. 61(C), pages 1-11.
    43. Augusto Cerqua & Roberta Di Stefano & Guido Pellegrini, 2021. "What kind of region reaps the benefits of a currency union?," Working Papers 2/21, Sapienza University of Rome, DISS.
    44. Maximilien Coussin & Anne-Laure Delatte, 2019. "Les cycles financiers convergent-ils en zone euro? En phase oui, en amplitude non," La Lettre du CEPII, CEPII research center, issue 403.
    45. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    46. G. Peersman, 2011. "Bank Lending Shocks and the Euro Area Business Cycle," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/766, Ghent University, Faculty of Economics and Business Administration.
    47. Martina Cecioni & Stefano Neri, 2011. "The monetary transmission mechanism in the euro area: has it changed and why?," Temi di discussione (Economic working papers) 808, Bank of Italy, Economic Research and International Relations Area.
    48. Bonci, Riccardo, 2011. "Monetary policy and the flow of funds in the euro area," Working Paper Series 1402, European Central Bank.
    49. Gabriel Jimenez & Steven Ongena & Jose-Luis Peydro & Jesus Saurina, 2012. "Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications," American Economic Review, American Economic Association, vol. 102(5), pages 2301-2326, August.
    50. Sebnem Kalemli-Özcan, 2015. "Spillovers to Emerging Markets during Global Financial Crisis," Central Banking, Analysis, and Economic Policies Book Series, in: Claudio Raddatz & Diego Saravia & Jaume Ventura (ed.),Global Liquidity, Spillovers to Emerging Markets and Policy Responses, edition 1, volume 20, chapter 9, pages 281-314, Central Bank of Chile.
    51. Verstegen, Loes & van Groezen, Bas & Meijdam, Lex, 2017. "Benefits of EMU Participation : Estimates using the Synthetic Control Method," Discussion Paper 2017-032, Tilburg University, Center for Economic Research.
    52. Parsley, David & Popper, Helen, 2019. "GDP Synchronicity and Risk Sharing Channels in a Monetary Union: Blue State and Red States," MPRA Paper 98981, University Library of Munich, Germany.
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    202. Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite Likelihood Methods for Large Bayesian VARs with Stochastic Volatility," Working Paper Series 44, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
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    205. Solikin M. Juhro & Bernard Njindan Iyke, 2019. "Forecasting Indonesian Inflation Within An Inflation-Targeting Framework: Do Large-Scale Models Pay Off?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 423-436, December.
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    Cited by:

    1. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
    2. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.
    3. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    4. Pablo Aguilar & Corinna Ghirelli & Matías Pacce & Alberto Urtasun, 2020. "Can news help measure economic sentiment? An application in COVID-19 times," Working Papers 2027, Banco de España.
    5. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    6. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Radoslaw Sobko & Maria Klonowska-Matynia, 2021. "The Relationship between the Purchasing Managers’ Index (PMI) and Economic Growth: The Case for Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 198-219.
    8. Amstad, Marlene & Fischer, Andreas M., 2010. "Monthly pass-through ratios," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1202-1213, July.
    9. Arioli, Rodolfo & Bates, Colm & Dieden, Heinz Christian & Duca, Ioana & Friz, Roberta & Gayer, Christian & Kenny, Geoff & Meyler, Aidan & Pavlova, Iskra, 2017. "EU consumers’ quantitative inflation perceptions and expectations: an evaluation," Occasional Paper Series 186, European Central Bank.
    10. Mirjana Čižmešija & Zrinka Lukač & Marina Matošec, 2025. "Gaining confidence in the revised consumer confidence indicator: nonlinear optimization approach," Empirical Economics, Springer, vol. 69(1), pages 517-547, July.
    11. Hecq, A.W. & Götz, T.B. & Urbain, J.R.Y.J., 2012. "Real-time forecast density combinations (forecasting US GDP growth using mixed-frequency data)," Research Memorandum 021, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. 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.
    13. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    14. Aaron G. Grech, "undated". "The European Commission’s business and consumer surveys and Maltese macroeconomic trends," CBM Policy Papers PP/05/2019, Central Bank of Malta.
    15. David de Antonio Liedo, 2014. "Nowcasting Belgium," Working Paper Research 256, National Bank of Belgium.
    16. George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
    17. Marco Rubilar-González & Gabriel Pino, 2018. "Are Euro-Area expectations about recession phases effective to anticipate consequences of economic crises?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(2), pages 141-161, June.
    18. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "News media versus FRED‐MD for macroeconomic forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 63-81, January.
    19. Cem Cakmakli & Hamza Demircan, 2020. "Using Survey Information for Improving the Density Nowcasting of US GDP with a Focus on Predictive Performance during Covid-19 Pandemic," Koç University-TUSIAD Economic Research Forum Working Papers 2016, Koc University-TUSIAD Economic Research Forum.
    20. Mili, Mehdi & Sahut, Jean-Michel & Teulon, Frédéric, 2012. "Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence," Economic Modelling, Elsevier, vol. 29(3), pages 734-741.
    21. Bekiros, Stelios & Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Ur Rehman, Mobeen, 2018. "Directional predictability and time-varying spillovers between stock markets and economic cycles," Economic Modelling, Elsevier, vol. 69(C), pages 301-312.
    22. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    23. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    24. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    25. Kerry Loaiza-Marín, 2022. "Nowcasting the Costa Rican Quarterly Output Growth," Documentos de Trabajo 2107, Banco Central de Costa Rica.
    26. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
    27. Chew Lian Chua & Sarantis Tsiaplias & Ruining Zhou, 2024. "Constructing a high‐frequency World Economic Gauge using a mixed‐frequency dynamic factor model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2212-2227, September.
    28. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    29. Aaron G. Grech & Reuben Ellul, 2021. "Are the European Commission’s Business and Consumer Survey Results Coincident Indicators for Maltese Economic Activity?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 91-108, April.
    30. Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2010. "Nowcasting," CEPR Discussion Papers 7883, C.E.P.R. Discussion Papers.
    31. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    32. Wanbo Lu & Qibo Liu & Haofang Li, 2025. "Confidence, animal spirits, and the macroeconomy in China: Based on mixed-frequency data models," PLOS ONE, Public Library of Science, vol. 20(9), pages 1-18, September.
    33. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    34. Jean-michel Sahut & Medhi Mili & Frédéric Teulon, 2012. "What is the linkage between real growth in the Euro area and global financial market conditions?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2464-2480.
    35. Daniel Hopp, 2024. "Benchmarking econometric and machine learning methodologies in nowcasting GDP," Empirical Economics, Springer, vol. 66(5), pages 2191-2247, May.
    36. Keeney, Mary & Kennedy, Bernard & Liebermann, Joelle, 2012. "The value of hard and soft data for short-term forecasting of GDP," Economic Letters 11/EL/12, Central Bank of Ireland.
    37. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    38. Deicy J. Cristiano & Manuel D. Hernández & José David Pulido, 2012. "Pronósticos de corto plazo en tiempo real para la actividad económica colombiana," Borradores de Economia 724, Banco de la Republica de Colombia.
    39. Dimitrios D. Thomakos & Fotis Papailias, 2014. "“Out of Sync”: The Breakdown of Economic Sentiment Cycles in the EU," Review of International Economics, Wiley Blackwell, vol. 22(1), pages 131-150, February.
    40. Emilian DOBRESCU, 2020. "Self-fulfillment degree of economic expectations within an integrated space: The European Union case study," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-32, December.

  43. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2008. "Large Bayesian VARs," Working Paper Series 966, European Central Bank.

    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    2. Colin Bermingham & Antonello D’Agostino, 2014. "Understanding and forecasting aggregate and disaggregate price dynamics," Empirical Economics, Springer, vol. 46(2), pages 765-788, March.
    3. BELMONTE, Miguel A.G. & KOOP, Gary & KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage in time-varying parameter models," LIDAM Discussion Papers CORE 2011036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Rangan Gupta & Alain Kabundi & Mampho Modise, 2010. "Has the SARB become more effective post inflation targeting?," Economic Change and Restructuring, Springer, vol. 43(3), pages 187-204, August.
    5. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
    6. Bork, Lasse, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," Finance Research Group Working Papers F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    7. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
    8. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    9. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    10. Sarah Drought & Chris McDonald, 2011. "Forecasting house price inflation: a model combination approach," Reserve Bank of New Zealand Discussion Paper Series DP2011/07, Reserve Bank of New Zealand.
    11. Mirriam Chitalu Chama-Chiliba & Rangan Gupta & Nonophile Nkambule & Naomi Tlotlego, 2011. "Forecasting Key Macroeconomic Variables of the South African Economy Using Bayesian Variable Selection," Working Papers 201132, University of Pretoria, Department of Economics.
    12. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
    13. Gary Koop, 2010. "Forecasting with Medium and Large Bayesian VARs," Working Paper series 43_10, Rimini Centre for Economic Analysis.
    14. Tim Oliver Berg & Steffen Henzel, 2013. "Point and Density Forecasts for the Euro Area Using Many Predictors: Are Large BVARs Really Superior?," ifo Working Paper Series 155, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    15. Domenico Giannone & Michèle Lenza & Daphné Momferatu & Luca Onorante, 2010. "Short-term inflation projections: a Bayesian vector autoregressive approach," Working Papers ECARES ECARES 2010-011, ULB -- Universite Libre de Bruxelles.
    16. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    17. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
    18. Pažický Martin, 2021. "Oil price shock in the US and the euro area – evidence from the shadow rate and the term premium," Review of Economic Perspectives, Sciendo, vol. 21(3), pages 309-346, September.
    19. Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021. "Can Machine Learning Catch the COVID-19 Recession?," Papers 2103.01201, arXiv.org.
    20. Dahem, Ahlem, 2015. "Short term Bayesian inflation forecasting for Tunisia," MPRA Paper 66702, University Library of Munich, Germany.
    21. Gupta, Rangan & Jurgilas, Marius & Kabundi, Alain, 2010. "The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach," Economic Modelling, Elsevier, vol. 27(1), pages 315-323, January.
    22. Chai, Jian & Guo, Ju-E. & Meng, Lei & Wang, Shou-Yang, 2011. "Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model," Energy Policy, Elsevier, vol. 39(12), pages 8022-8036.
    23. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
    24. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    25. Ms. Adina Popescu & Ms. Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary: Results from a Large Bayesian VAR," IMF Working Papers 2011/259, International Monetary Fund.
    26. Belke, Ansgar & Osowski, Thomas, 2017. "International effects of euro area versus US policy uncertainty: A FAVAR approach," Ruhr Economic Papers 689, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    27. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2008. "Business Cycles in the Euro Area," NBER Working Papers 14529, National Bureau of Economic Research, Inc.
    28. Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2009. "Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Model," Working papers 2009-19, University of Connecticut, Department of Economics.
    29. Christian Glocker & Pascal Towbin, 2012. "The Macroeconomic Effects of Reserve Requirements," Working papers 374, Banque de France.
    30. Domenico Giannone & Michèle Lenza & Huw Pill & Lucrezia Reichlin, 2012. "The ECB and the Interbank Market," Working Papers ECARES ECARES 2012-005, ULB -- Universite Libre de Bruxelles.
    31. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working papers 2012-38, University of Connecticut, Department of Economics, revised Dec 2013.
    32. D. Tutberidze & D. Japaridze, 2017. "Macroeconomic Forecasting Using Bayesian Vector Autoregressive Approach," Вестник Киевского национального университета имени Тараса Шевченко. Экономика., Socionet;Киевский национальный университет имени Тараса Шевченко, vol. 2(191), pages 42-49.
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    45. Ahlem DAHEM, 2016. "Short-Term Bayesian Inflation Forecasting For Tunisia: Some Empirical Evidence," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(1), pages 1-47, January.
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    Cited by:

    1. Christophe Andre & Petre Caraiani & Rangan Gupta, 2023. "Fiscal Policy and Stock Markets at the Effective Lower Bound," Working Papers 202309, University of Pretoria, Department of Economics.
    2. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    3. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    4. Mario Forni & Luca Sala & Luca Gambetti, 2015. "No News in Business Cycles," Working Papers 535, Barcelona School of Economics.
    5. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    6. Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
    7. Kerssenfischer, Mark, 2017. "The effects of US monetary policy shocks: Applying external instrument identification to a dynamic factor model," Discussion Papers 08/2017, Deutsche Bundesbank.
    8. Jin, Xisong & Nadal De Simone, Francisco, 2020. "Monetary policy and systemic risk-taking in the Euro area investment fund industry: A structural factor-augmented vector autoregression analysis," Journal of Financial Stability, Elsevier, vol. 49(C).
    9. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    10. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    11. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "A Robust Criterion for Determining the Number of Factors in Approximate Factor Models," Working Papers ECARES 2009_023, ULB -- Universite Libre de Bruxelles.
    12. Krüger Fabian & Pohlmeier Winfried & Mokinski Frieder, 2011. "Combining Survey Forecasts and Time Series Models: The Case of the Euribor," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 63-81, February.
    13. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    14. Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2015. "Dynamic factor models with infinite-dimensional factor spaces: One-sided representations," Journal of Econometrics, Elsevier, vol. 185(2), pages 359-371.
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    56. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
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    61. Lasse Bork & Hans Dewachter & Romain Houssa, 2009. "Identification of Macroeconomic Factors in Large Panels," CREATES Research Papers 2009-43, Department of Economics and Business Economics, Aarhus University.
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    65. Knut Are Aastveit & Tørres G. Trovik, 2008. "Nowcasting Norwegian GDP: The role of asset prices in a small open economy," Working Paper 2007/09, Norges Bank.
    66. Mario Forni & Luca Gambetti & Luca Sala, 2017. "News, Uncertainty and Economic Fluctuations (No News is Good News)," Center for Economic Research (RECent) 132, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    67. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
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    69. Steffen Henzel & Malte Rengel, 2013. "Dimensions of macroeconomic uncertainty: A common factor analysis," ifo Working Paper Series 167, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
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    388. Martínez-García, Enrique & Grossman, Valerie & Mack, Adrienne, 2015. "A contribution to the chronology of turning points in global economic activity (1980–2012)," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 170-185.
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    391. Francisco Corona & Graciela Gonz'alez-Far'ias & Jes'us L'opez-P'erez, 2021. "A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19," Papers 2101.10383, arXiv.org.
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    394. Mehrotra, Aaron & Sánchez-Fung, José R., 2011. "Assessing McCallum and Taylor rules in a cross-section of emerging market economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 207-228, April.
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    401. Oscar Claveria & Enric Monte & Salvador Torra, 2021. ""Nowcasting and forecasting GDP growth with machine-learning sentiment indicators"," IREA Working Papers 202103, University of Barcelona, Research Institute of Applied Economics, revised Feb 2021.
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    Cited by:

    1. Sebnem Kalemli-Ozcan & Elias Papaioannou & José Luis Peydró, 2010. "Financial Regulation, Integration and Synchronization of Economic Activity," Koç University-TUSIAD Economic Research Forum Working Papers 1005, Koc University-TUSIAD Economic Research Forum, revised Apr 2010.
    2. Bogdan Murarasu & Alina Bobasu, 2014. "Output Spillovers from Trade and Financial Linkages in Central and Eastern European Countries: A Panel Analysis," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 6(2), pages 081-096, December.
    3. Ahrend, Rudiger & Goujard, Antoine, 2014. "Are all forms of financial integration equally risky? Asset price contagion during the global financial crisis," Journal of Financial Stability, Elsevier, vol. 14(C), pages 35-53.
    4. Kalemli-Ozcan, Sebnem & Papaioannou, Elias & Perri, Fabrizio, 2013. "Global banks and crisis transmission," Journal of International Economics, Elsevier, vol. 89(2), pages 495-510.
    5. Sebnem Kalemli-Özcan, 2014. "Spillovers to emerging markets during global financial crisis," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(2), pages 26-47, August.
    6. Kalemli-Özcan, Sebnem & Papaioannou, Elias & Peydró, José-Luis, 2009. "Financial Integration and Business Cycle Synchronization," CEPR Discussion Papers 7292, C.E.P.R. Discussion Papers.
    7. Rudiger Ahrend & Antoine Goujard, 2012. "International Capital Mobility and Financial Fragility - Part 6. Are all Forms of Financial Integration Equally Risky in Times of Financial Turmoil?: Asset Price Contagion During the Global Financial Crisis," OECD Economics Department Working Papers 969, OECD Publishing.
    8. Sebnem Kalemli-Ozcan & Elias Papaioannou & José Luis Peydró, 2009. "Financial Regulation, Financial Globalization and the Synchronization of Economic Activity," NBER Working Papers 14887, National Bureau of Economic Research, Inc.
    9. Paul R. Bergin & Ju Hyun Pyun, 2012. "International Portfolio Diversification and Multilateral Effects of Correlations," NBER Working Papers 17907, National Bureau of Economic Research, Inc.

  47. Reichlin, Lucrezia & Camba-Mendez, Gonzalo & Angelini, Elena & Rünstler, Gerhard & Giannone, Domenico, 2008. "Short-term Forecasts of Euro Area GDP Growth," CEPR Discussion Papers 6746, C.E.P.R. Discussion Papers.

    Cited by:

    1. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
    2. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    3. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    4. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    5. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    6. Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
    7. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    8. Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    9. 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.).
    10. Helena Rodríguez, 2014. "Un indicador de la evolución del PIB uruguayo en tiempo real," Documentos de trabajo 2014009, Banco Central del Uruguay.
    11. Falk Brauning & Siem Jan Koopman, 2012. "Forecasting Macroeconomic Variables using Collapsed Dynamic Factor Analysis," Tinbergen Institute Discussion Papers 12-042/4, Tinbergen Institute.
    12. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    13. Ge, Yiqing & Tang, Ke, 2020. "Commodity prices and GDP growth," International Review of Financial Analysis, Elsevier, vol. 71(C).
    14. Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
    15. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. Máximo Camacho & Rafael Doménech, 2012. "MICA-BBVA: a factor model of economic and financial indicators for short-term GDP forecasting," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(4), pages 475-497, December.
    17. Fokin, Nikita & Polbin, Andrey, 2019. "A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth," MPRA Paper 95306, University Library of Munich, Germany, revised Apr 2019.
    18. Liebermann, Joëlle, 2012. "Short-term forecasting of quarterly gross domestic product growth," Quarterly Bulletin Articles, Central Bank of Ireland, pages 74-84, February.
    19. Hendry, David F., 2018. "Deciding between alternative approaches in macroeconomics," International Journal of Forecasting, Elsevier, vol. 34(1), pages 119-135.
    20. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    21. Schumacher, Christian, 2014. "MIDAS and bridge equations," Discussion Papers 26/2014, Deutsche Bundesbank.
    22. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    23. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    24. Muriel Nguiffo-Boyom, 2014. "2007-2013: This is what the indicator told us ? Evaluating the performance of real-time nowcasts from a dynamic factor model," BCL working papers 88, Central Bank of Luxembourg.
    25. D'Elia, Enrico, 2010. "Predictions vs preliminary sample estimates," MPRA Paper 36070, University Library of Munich, Germany.
    26. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy.
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    28. Robert Lehmann & Magnus Reif, 2021. "Predicting the German Economy: Headline Survey Indices Under Test," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 215-232, November.
    29. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    30. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    31. Jean-Charles Bricongne & Baptiste Meunier & Raquel Caldeira, 2024. "Should Central Banks Care About Text Mining? A Literature Review," Working papers 950, Banque de France.
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    35. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    36. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Post-Print halshs-00460461, HAL.
    37. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
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    39. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
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    45. Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015. "Nowcasting Indonesia," Finance and Economics Discussion Series 2015-100, Board of Governors of the Federal Reserve System (U.S.).
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    60. 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.
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    105. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Post-Print halshs-00344839, HAL.
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    108. Pami Dua, 2017. "Macroeconomic Modelling and Bayesian Methods," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 209-226, June.
    109. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
    110. Pérez-Quirós, Gabriel & Camacho, Máximo & Alvarez, Rocio, 2012. "Finite sample performance of small versus large scale dynamic factor models," CEPR Discussion Papers 8867, C.E.P.R. Discussion Papers.
    111. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    112. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    113. Marie Bessec, 2012. "Short-term forecasts of French GDP: a dynamic factor model with targeted predictors," Working papers 409, Banque de France.
    114. Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2014. "Exploiting the monthly data-flow in structural forecasting," Discussion Papers 1416, Centre for Macroeconomics (CFM).
    115. Abdić Ademir & Resić Emina & Abdić Adem & Rovčanin Adnan, 2020. "Nowcasting GDP of Bosnia and Herzegovina: A Comparison of Forecast Accuracy Models," South East European Journal of Economics and Business, Sciendo, vol. 15(2), pages 1-14, December.
    116. Lenza Michele & Warmedinger Thomas, 2011. "A Factor Model for Euro-area Short-term Inflation Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 50-62, February.
    117. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    118. Karim Barhoumi & V ronique Brunhes-Lesage & Olivier Darn & Laurent Ferrara & Bertrand Pluyaud & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    119. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    120. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017. "Macroeconomic nowcasting and forecasting with big data," Staff Reports 830, Federal Reserve Bank of New York.
    121. Kyriakopoulou, Dimitra, 2025. "A Shrinkage Factor-Augmented VAR for High-Dimensional Macro–Fiscal Dynamics," MPRA Paper 127158, University Library of Munich, Germany.
    122. Liebermann, Joelle, 2010. "Real-time nowcasting of GDP: Factor model versus professional forecasters," MPRA Paper 28819, University Library of Munich, Germany.
    123. Esteves, Paulo Soares, 2013. "Direct vs bottom–up approach when forecasting GDP: Reconciling literature results with institutional practice," Economic Modelling, Elsevier, vol. 33(C), pages 416-420.
    124. Stefan Gerlach & John Lewis, 2014. "Zero lower bound, ECB interest rate policy and the financial crisis," Empirical Economics, Springer, vol. 46(3), pages 865-886, May.
    125. Mishra, Sagarika & Narayan, Paresh Kumar, 2015. "A nonparametric model of financial system and economic growth," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 175-191.
    126. Marie Bessec, 2010. "Étalonnages du taux de croissance du PIB français sur la base des enquêtes de conjoncture," Économie et Prévision, Programme National Persée, vol. 193(2), pages 77-99.
    127. Domenico Giannone & Lucrezia Reichlin & Saverio Simonelli, 2009. "Nowcasting Euro Area Economic Activity in Real-Time: The Role of Confidence Indicator," Working Papers ECARES 2009_021, ULB -- Universite Libre de Bruxelles.
    128. Laurent Ferrara & Dominique Gu gan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Working papers 224, Banque de France.
    129. Zhang, Dandan & Shi, Xunpeng & Sheng, Yu, 2015. "Comprehensive measurement of energy market integration in East Asia: An application of dynamic principal component analysis," Energy Economics, Elsevier, vol. 52(PB), pages 299-305.
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    133. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
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    140. Weber, Enzo & Zika, Gerd, 2013. "Labour market forecasting : is disaggregation useful?," IAB-Discussion Paper 201314, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    Cited by:

    1. Paul Blackley, 2011. "Production Adjustments for Consumer Durables and the Great Moderation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 39(3), pages 291-302, September.
    2. Buch Claudia M & Doepke Joerg & Stahn Kerstin, 2009. "Great Moderation at the Firm Level? Unconditional vs. Conditional Output Volatility," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-27, May.
    3. Kollmann, Robert & Zeugner, Stefan, 2012. "Leverage as a predictor for real activity and volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1267-1283.
    4. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 477-490, February.
    5. Grydaki, Maria & Bezemer, Dirk, 2013. "The role of credit in the Great Moderation: A multivariate GARCH approach," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4615-4626.
    6. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.
    7. Cacciatore, Matteo & Ghironi, Fabio & Stebunovs, Viktors, 2015. "The domestic and international effects of interstate U.S. banking," Journal of International Economics, Elsevier, vol. 95(2), pages 171-187.
    8. Giannone, Domenico & D’Agostino, Antonello & Gambetti, Luca, 2009. "Macroeconomic Forecasting and Structural Change," CEPR Discussion Papers 7542, C.E.P.R. Discussion Papers.
    9. Vybhavi Balasundharam & Arika Kayastha & Mr. Marcos Poplawski Ribeiro, 2023. "Inflation Indexation in Public Finances: A Global Dataset on Current Practices," IMF Working Papers 2023/264, International Monetary Fund.
    10. Pavon-Prado, David, 2019. "Have we been measuring monetary policy correctly? Analysing the Federal Reserve’s policies over the last century," IFCS - Working Papers in Economic History.WH 28342, Universidad Carlos III de Madrid. Instituto Figuerola.
    11. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    12. Mayer, Eric & Scharler, Johann, 2011. "Noisy information, interest rate shocks and the Great Moderation," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 568-581.
    13. Ana gomez-Loscos & M. Dolores Gadea (Universidad de Zaragoza) & Gabriel Perez-Quiros (Bank of Spain), 2015. "Great Moderation and Great Recession. From plain sailing to stormy seas?," EcoMod2015 8267, EcoMod.
    14. Cesaroni, Tatiana & Maccini, Louis & Malgarini, Marco, 2011. "Business cycle stylized facts and inventory behaviour: New evidence for the Euro area," International Journal of Production Economics, Elsevier, vol. 133(1), pages 12-24, September.
    15. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers 1639, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Matteo Luciani, 2012. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Working Papers ECARES ECARES 2012-035, ULB -- Universite Libre de Bruxelles.
    17. Ásgeir Daníelsson, 2008. "The great moderation Icelandic style," Economics wp38, Department of Economics, Central bank of Iceland.
    18. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Gabriel Pérez-Quirós, 2014. "The two greatest. Great recession vs. great moderation," Working Papers 1423, Banco de España.
    19. Forte, Antonio, 2009. "The European Central Bank, the Federal Reserve and the Bank of England: is the Taylor Rule an useful benchmark for the last decade?," MPRA Paper 18309, University Library of Munich, Germany.
    20. Luckas Sabioni Lopes & Marcelle Chauvet & João Eustáquio Lima, 2018. "The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model," Empirical Economics, Springer, vol. 55(4), pages 1475-1505, December.
    21. James A. Kahn, 2008. "Durable goods inventories and the Great Moderation," Staff Reports 325, Federal Reserve Bank of New York.
    22. Ritschl, Albrecht & Uebele, Martin & Sarferaz, Samad, 2008. "The U.S. Business Cycle, 1867-1995: A Dynamic Factor Approach," CEPR Discussion Papers 7069, C.E.P.R. Discussion Papers.
    23. Bell go, C. & Laurent Ferrara, 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    24. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
    25. Jean Pisani-Ferry & Mr. Xavier Debrun & André Sapir, 2008. "Government Size and Output Volatility: Should We Forsake Automatic Stabilization?," IMF Working Papers 2008/122, International Monetary Fund.
    26. Pancrazi, Roberto, 2015. "The heterogeneous Great Moderation," European Economic Review, Elsevier, vol. 74(C), pages 207-228.
    27. Anna Charmaine Abara & Yoon Heo, 2013. "Resilience and recovery: The Philippine IT–BPO industry during the global crisis," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 16(2), pages 160-183, June.
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    30. Ásgeir Daníelsson, 2008. "Accuracy in forecasting macroeconomic variables in Iceland," Economics wp39, Department of Economics, Central bank of Iceland.
    31. Marcel Förster, 2013. "The Great Moderation: Inventories, Shocks or Monetary Policy?," MAGKS Papers on Economics 201348, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    32. Mr. Ashoka Mody & Ms. Alina Carare, 2010. "Spillovers of Domestic Shocks: Will They Counteract the “Great Moderation”?," IMF Working Papers 2010/078, International Monetary Fund.
    33. Andrew Filardo & Jouchi Nakajima, 2018. "Effectiveness of unconventional monetary policies in a low interest rate environment," BIS Working Papers 691, Bank for International Settlements.
    34. Claudia M. Buch, 2008. "The Great Risk Shift? Income Volatility in an International Perspective," CESifo Working Paper Series 2465, CESifo.
    35. Philippe Jolivaldt & Ibrahim Ahamada, 2010. "Filtres usuels et filtre fondé sur les ondelettes : étude comparative et application au cycle économique," Économie et Prévision, Programme National Persée, vol. 195(4), pages 149-161.
    36. Rita Duarte & Carlos Marques, 2013. "The dynamic effects of shocks to wages and prices in the United States and the Euro Area," Empirical Economics, Springer, vol. 44(2), pages 613-638, April.
    37. Forte, Antonio, 2009. "The stability of the inflation rate in the Euro area: the role of Globalization and labour market," MPRA Paper 16587, University Library of Munich, Germany.
    38. Norhana Endut & James Morley & Pao-Lin Tien, 2015. "The Changing Transmission Mechanism of U.S. Monetary Policy," Discussion Papers 2015-03, School of Economics, The University of New South Wales.
    39. Alina Carare & Ashoka Mody, 2012. "Spillovers of Domestic Shocks: Will They Counteract the ‘Great Moderation’?," International Finance, Wiley Blackwell, vol. 15(1), pages 69-97, April.
    40. Korobilis, Dimitris, 2009. "Assessing the transmission of monetary policy using dynamic factor models," MPRA Paper 27593, University Library of Munich, Germany, revised Nov 2010.
    41. Pancrazi, Roberto & Vukotic, Marija, 2012. "Technology Persistence and Monetary Policy," Economic Research Papers 270536, University of Warwick - Department of Economics.
    42. Ameyaw, Emmanuel, 2024. "The macroeconomic effects of productivity shocks: Predictions of conventional business cycle models are not always incompatible with SSA economies," Research in Economics, Elsevier, vol. 78(4).
    43. Issing, Otmar & Wieland, Volker, 2012. "Monetary theory and monetary policy: Reflections on the development over the last 150 years," CFS Working Paper Series 2012/20, Center for Financial Studies (CFS).
    44. Era Dabla-Norris. Raphael Espinoza & Sarwat Jahan, 2012. "Spillovers to Low-Income Countries: Importance of Systemic Emerging Markets," OxCarre Working Papers 082, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    45. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    46. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    47. Jan Babecký & Aleš Bulíř & Kateřina šmídková, 2009. "Sustainable real exchange rates in the new EU Member States: Is FDI a mixed blessing?," European Economy - Economic Papers 2008 - 2015 368, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    48. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2016. "Vulnerable growth," Staff Reports 794, Federal Reserve Bank of New York.
    49. Auer, Simone, 2019. "Monetary policy shocks and foreign investment income: Evidence from a large Bayesian VAR," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 142-166.
    50. Sui, Jianli & Lv, Wenqiang & Gao, Xiang & Koedijk, Kees G., 2024. "China’s GDP-at-Risk: Real-Time Monitoring, Risk Tracing, and Macroeconomic Policy Effects," Journal of International Money and Finance, Elsevier, vol. 147(C).
    51. Steven J. Davis & James A. Kahn, 2008. "Interpreting the Great Moderation: Changes in the Volatility of Economic Activity at the Macro and Micro Levels," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 155-180, Fall.
    52. Benk, Szil rd & Gillman, Max & Kejak, Michal, 2008. "US Volatility Cycles of Output and Inflation, 1919-2004: A Money and Banking Approach to a Puzzle," Cardiff Economics Working Papers E2008/28, Cardiff University, Cardiff Business School, Economics Section.
    53. Melissa van Rensburg, 2022. "The impact of New Zealand’s macroeconomic frameworks on living standards," Treasury Analytical Notes Series an22/02, New Zealand Treasury.
    54. Steffen Henzel & Elisabeth Wieland, 2013. "Synchronization and Changes in International Inflation Uncertainty," CESifo Working Paper Series 4194, CESifo.
    55. Medina, Juan Pablo & Toni, Emiliano & Valdes, Rodrigo, 2023. "The Art and Science of Monetary and Fiscal Policies in Chile," MPRA Paper 117198, University Library of Munich, Germany, revised 28 Apr 2023.
    56. Ummad Mazhar, 2013. "Does Greater Transparency Stabilize Output? Evidence from Panel Data," SBP Working Paper Series 59, State Bank of Pakistan, Research Department.
    57. Ritschl, Albrecht & Sarferaz, Samad & Uebele, Martin, 2016. "The U.S. business cycle, 1867–2006: a dynamic factor approach," LSE Research Online Documents on Economics 67420, London School of Economics and Political Science, LSE Library.
    58. Forte, Antonio, 2009. "The pass-through effect: a twofold analysis," MPRA Paper 16527, University Library of Munich, Germany.
    59. João Valle e Azevedo & Inês Maria Gonçalves, 2015. "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers w201502, Banco de Portugal, Economics and Research Department.
    60. McSweeney, Brendan, 2009. "The roles of financial asset market failure denial and the economic crisis: Reflections on accounting and financial theories and practices," Accounting, Organizations and Society, Elsevier, vol. 34(6-7), pages 835-848, August.
    61. Domenico Giannone & Michele Lenza, 2009. "Business cycles in the euro area," Research Bulletin, European Central Bank, vol. 8, pages 5-7.
    62. Stéphane Lhuissier & Urszula Szczerbowicz, 2022. "Monetary Policy and Corporate Debt Structure," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 497-515, June.
    63. Axel A Weber & Rafael Gerke & Andreas Worms, 2009. "Has the monetary transmission process in the euro area changed? Evidence vased on VAR estimates," BIS Working Papers 276, Bank for International Settlements.
    64. Stefan Laseen & Marzie Taheri Sanjani, 2016. "Did the Global Financial Crisis Break the U.S. Phillips Curve?," IMF Working Papers 2016/126, International Monetary Fund.
    65. Christoffer Koch, 2014. "Deposit interest rate ceilings as credit supply shifters: bank level evidence on the effects of Regulation Q," Working Papers 1406, Federal Reserve Bank of Dallas.
    66. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    67. João Valle e Azevedo & João Tovar Jalles, 2011. "Rational vs. Professional Forecasts," Working Papers w201114, Banco de Portugal, Economics and Research Department.
    68. Pérez-Quirós, Gabriel & Gadea Rivas, Maria Dolores & Gomez-Loscos, Ana, 2015. "The Great Moderation in historical perspective.Is it that great?," CEPR Discussion Papers 10825, C.E.P.R. Discussion Papers.
    69. Buch, Claudia M. & Döpke, Jörg & Stahn, Kerstin, 2008. "Great moderation at the firm level? Unconditional versus conditional output volatility," Discussion Paper Series 1: Economic Studies 2008,13, Deutsche Bundesbank.
    70. Todd E. Clark, 2009. "Is the Great Moderation over? an empirical analysis," Economic Review, Federal Reserve Bank of Kansas City, vol. 94(Q IV), pages 5-42.
    71. Lucia Alessi & Carsten Detken, 2009. "Global liquidity as an early warning indicator for asset price boom/bust cycles," Research Bulletin, European Central Bank, vol. 8, pages 7-9.
    72. Richard Higgins, C., 2020. "Financial frictions and changing macroeconomic volatility," Journal of Macroeconomics, Elsevier, vol. 64(C).
    73. Claudia M. Buch, 2013. "Has Labor Income Become More Volatile? Evidence from International Industry-Level Data," German Economic Review, Verein für Socialpolitik, vol. 14(4), pages 399-431, November.
    74. João Valle e Azevedo, 2010. "Forecasting Inflation (and the Business Cycle?) with Monetary Aggregates," Working Papers w201024, Banco de Portugal, Economics and Research Department.
    75. Chengsi Zhang, 2013. "Has Chinese economy become more stable?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 18(1), pages 133-148.
    76. Botelho, Vasco & Foroni, Claudia & Renzetti, Andrea, 2023. "Labour at risk," Working Paper Series 2840, European Central Bank.
    77. Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2019. "On the asymmetric impact of macro–variables on volatility," Economic Modelling, Elsevier, vol. 76(C), pages 135-152.
    78. Xuan, Chunji & Kim, Chang-Jin & Kim, Dong Heon, 2019. "New dynamics of consumption and output," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 50-59.
    79. Consolo, Agostino & Favero, Carlo A. & Paccagnini, Alessia, 2009. "On the statistical identification of DSGE models," Journal of Econometrics, Elsevier, vol. 150(1), pages 99-115, May.
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  49. Joshua Brodie & Ingrid Daubechies & Christine De Mol & Domenico Giannone & Ignace Loris, 2007. "Sparse and stable Markowitz portfolios," Papers 0708.0046, arXiv.org, revised May 2008.

    Cited by:

    1. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
    2. Joshua Brodie & Ingrid Daubechies & Christine De Mol & Domenico Giannone & Ignace Loris, 2007. "Sparse and stable Markowitz portfolios," Papers 0708.0046, arXiv.org, revised May 2008.
    3. Gianbiagio Curato & Jim Gatheral & Fabrizio Lillo, 2014. "Optimal execution with nonlinear transient market impact," Papers 1412.4839, arXiv.org.
    4. Paulo Ferreira Naibert & João F. Caldeira, 2016. "Seleção De Carteiras Com Restrição Das Normas Das Posições: Uma Comparação Empírica Entre Diferentes Níveis De Restrição De Exposição Para Dados Da Bm&Fbovespa," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 132, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2013. "Portfolio selection with skewness: A comparison of methods and a generalized one fund result," European Journal of Operational Research, Elsevier, vol. 230(2), pages 412-421.
    6. Richard K. Crump & Miro Everaert & Domenico Giannone & Sean Hundtofte, 2018. "Changing Risk-Return Profiles," Staff Reports 850, Federal Reserve Bank of New York.
    7. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2015. "Asset Allocation Strategies Based On Penalized Quantile Regression," "Marco Fanno" Working Papers 0199, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Mohammed Bouaddi & Abderrahim Taamouti, 2012. "Portfolio risk management in a data-rich environment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(4), pages 469-494, December.
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    10. Aït-Sahalia, Yacine & Xiu, Dacheng, 2017. "Using principal component analysis to estimate a high dimensional factor model with high-frequency data," Journal of Econometrics, Elsevier, vol. 201(2), pages 384-399.
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    7. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
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    1. Marc Hallin & Roman Liska, 2008. "Dynamic Factors in the Presence of Block Structure," Working Papers ECARES 2008_012, ULB -- Universite Libre de Bruxelles.
    2. Riccardo Cristadoro & Giuseppe Saporito & Fabrizio Venditti, 2013. "Forecasting inflation and tracking monetary policy in the euro area: does national information help?," Empirical Economics, Springer, vol. 44(3), pages 1065-1086, June.
    3. Günes Kamber & Benjamin Wong, 2016. "Testing an Interpretation of Core Inflation Measures in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/06, Reserve Bank of New Zealand.
    4. Jinill Kim & Byung Kwun Ahn, 2012. "A New Measure for Core Inflation Based on Generalized Dynamic-Factor Model," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 18(2), pages 1-28, June.
    5. Brent Meyer & Saeed Zaman, 2019. "The usefulness of the median CPI in Bayesian VARs used for macroeconomic forecasting and policy," Empirical Economics, Springer, vol. 57(2), pages 603-630, August.
    6. Mikael Khan & Louis Morel & Patrick Sabourin, 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada," Staff Working Papers 13-35, Bank of Canada.
    7. Ant?nio Cl¨¦cio de Brito & Elano Ferreira Arruda & Ivan Castelar & Nicolino Trompieri Neto & Cristiano Santos, 2019. "Core Inflation, Expectations and Inflation Dynamics in Brazil," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(6), pages 1-1, June.
    8. Amstad, Marlene & Fischer, Andreas M., 2010. "Monthly pass-through ratios," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1202-1213, July.
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    10. Aaron Drew & Özer Karagedikli, 2008. "Some benefits of monetary policy transparency in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/01, Reserve Bank of New Zealand.
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    26. Guonan Ma, 2014. "Developing an underlying inflation gauge for China," Bruegel Working Papers 853, Bruegel.
    27. Domenico Giannone & Troy Matheson, 2007. "A new core inflation indicator for New Zealand," ULB Institutional Repository 2013/6407, ULB -- Universite Libre de Bruxelles.
    28. Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019. "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1060-1071.
    29. Delle Monache & Ivan Petrella & Fabrizio Venditti, 2015. "Common faith or parting ways? A time varying parameters factor analysis of euro-area inflation," Birkbeck Working Papers in Economics and Finance 1515, Birkbeck, Department of Economics, Mathematics & Statistics.
    30. Qin Zhang & He Ni & Hao Xu, 2023. "Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 719-767, March.
    31. Stan Plessis & Gideon Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 527-548, December.
    32. Oguz Atuk & Mustafa Utku Ozmen, 2009. "Design and Evaluation of Core Inflation Measures for Turkey," Working Papers 0903, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    33. Muriel Nguiffo-Boyom, 2008. "A monthly indicator of Economic activity for Luxembourg," BCL working papers 31, Central Bank of Luxembourg.
    34. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
    35. Rachel Holden, 2006. "Measuring core inflation," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-7, December.
    36. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014. "The FRBNY staff underlying inflation gauge: UIG," Staff Reports 672, Federal Reserve Bank of New York.
    37. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.

  52. Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.

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    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. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    3. Gian Paulo Soave, 2023. "A panel threshold VAR with stochastic volatility-in-mean model: an application to the effects of financial and uncertainty shocks in emerging economies," Applied Economics, Taylor & Francis Journals, vol. 55(4), pages 397-431, January.
    4. Romero, José Vicente & Vargas, Hernando & Cardozo, Pamela & Murcia, Andrés, 2021. "How foreign participation in the Colombian local public debt market has influenced domestic financial conditions," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(4).
    5. Eva F. Janssens & Robin L. Lumsdaine, 2024. "Sectoral slowdowns in the United Kingdom: Evidence from transmission probabilities and economic linkages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 22-40, January.
    6. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    7. Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
    8. Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
    9. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
    10. Frangiamore, Francesco & Matarrese, Marco Maria, 2025. "Government spending multipliers and financial fragility in Italy," Economic Modelling, Elsevier, vol. 145(C).
    11. Battulga Gankhuu, 2023. "Parameter Estimation Methods of Required Rate of Return," Papers 2305.19708, arXiv.org, revised Aug 2023.
    12. Gaurav Kapoor & Nuttanan Wichitaksorn & Mengheng Li & Wenjun Zhang, 2025. "Forecasting Half-Hourly Electricity Prices Using a Mixed-Frequency Structural VAR Framework," Econometrics, MDPI, vol. 13(1), pages 1-26, January.
    13. Haroon Mumtaz & Alexandra Solovyeva & Elena Vasilieva, 2012. "Asset prices, credit and the Russian economy," Joint Research Papers 1, Centre for Central Banking Studies, Bank of England.
    14. Albert Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis : this time was different," Documents de Travail de l'OFCE 2019-11, Observatoire Francais des Conjonctures Economiques (OFCE).
    15. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
    16. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 934-943, September.
    17. Colin Bermingham & Antonello D’Agostino, 2014. "Understanding and forecasting aggregate and disaggregate price dynamics," Empirical Economics, Springer, vol. 46(2), pages 765-788, March.
    18. Ching-Wai Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," Discussion Papers 1609, Centre for Macroeconomics (CFM).
    19. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
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    Cited by:

    1. Nikos Christodoulakis, 2009. "Ten Years of EMU: convergence, divergence and new policy priorities," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 22, Hellenic Observatory, LSE.
    2. Douglas Sutherland & Peter Hoeller & Balázs Égert & Oliver Röhn, 2010. "Counter-cyclical Economic Policy," OECD Economics Department Working Papers 760, OECD Publishing.
    3. Cronin, David & McQuinn, Kieran, 2020. "Are official forecasts of output growth in the EU still biased? Evidence from stability and convergence programmes and the European Commission’s Spring forecasts," Papers WP681, Economic and Social Research Institute (ESRI).
    4. Eickmeier, Sandra, 2006. "Comovements and heterogeneity in the Comovements and heterogeneity in the dynamic factor model," Discussion Paper Series 1: Economic Studies 2006,31, Deutsche Bundesbank.
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    6. J.M.C. Santos Silva & Silvana Tenreyro, 2010. "Currency Unions in Prospect and Retrospect," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 51-74, September.
    7. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Philip R. Lane, 2006. "The Real Effects of EMU," The Institute for International Integration Studies Discussion Paper Series iiisdp115, IIIS.
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    10. Alain Kabundi & Francisco Nadal De Simone, 2011. "France in the global economy: a structural approximate dynamic factor model analysis," Empirical Economics, Springer, vol. 41(2), pages 311-342, October.
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    12. Mr. Emil Stavrev, 2007. "Growth and Inflation Dispersions in EMU: Reasons, the Role of Adjustment Channels, and Policy Implications," IMF Working Papers 2007/167, International Monetary Fund.
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    14. Helge Berger, 2006. "Optimal central bank design: Benchmarks for the ECB," The Review of International Organizations, Springer, vol. 1(3), pages 207-235, September.
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    16. Caleiro, António, 2011. "Acerca da importância da sincronização do ciclo económico português no contexto europeu [Why and how must Portugal be synchronized with the European Union?]," MPRA Paper 34993, University Library of Munich, Germany.
    17. Li, Zhongda & Liu, Lu, 2018. "Financial globalization, domestic financial freedom and risk sharing across countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 151-169.
    18. Tomas Adam & Robert Ambrisko & Oxana Babecka Kucharcukova & Jan Babecky & Sona Benecka & Jan Bruha & Vilma Dingova & Dana Hajkova & Tomas Holub & Eva Hromadkova & David Kocourek & Lubos Komarek & Zlat, 2014. "Analyses of the Czech Republic's Current Economic Alignment with the Euro Area 2014," Occasional Publications - Edited Volumes, Czech National Bank, Research and Statistics Department, number as14 edited by Kamila Kulhava & Jakub Mateju.
    19. Martin Schmitz, 2007. "Financial Markets and International Risk Sharing," The Institute for International Integration Studies Discussion Paper Series iiisdp233, IIIS.
    20. Jean-Baptiste Gossé & Cyriac Guillaumin, 2010. "L'impact des chocs externes sur et dans la zone euro : un modèle VAR structurel," Working Papers hal-00493384, HAL.
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    23. Asdrubali, Pierfederico & Kim, Soyoung & Pericoli, Filippo Maria & Poncela, Pilar, 2023. "Risk sharing channels in OECD countries: A heterogeneous panel VAR approach," Journal of International Money and Finance, Elsevier, vol. 131(C).
    24. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    25. Vitale, Paolo, 2006. "A market microstructure analysis of foreign exchange intervention," Working Paper Series 629, European Central Bank.
    26. Marc-Alexandre Sénégas, 2010. "La théorie des zones monétaires optimales au regard de l'euro : Quels enseignements après dix années d'union économique et monétaire en Europe ?," Revue d'économie politique, Dalloz, vol. 120(2), pages 379-419.
    27. Imbs, Jean, 2010. "The First Global Recession in Decades," CEPR Discussion Papers 7973, C.E.P.R. Discussion Papers.
    28. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    29. Cronin, David & McQuinn, Kieran, 2021. "Are official forecasts of output growth in the EU still biased?," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 337-349.
    30. Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2009. "Do institutional changes affect business cycles? Evidence from Europe," Economics Working Papers 1158, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2012.
    31. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    32. Jan Babecky & Oxana Babetskaia-Kukharchuk & Kamil Galuscak & Dana Hajkova & Jaroslav Hermanek & Tomas Holub & Roman Horvath & Petr Jakubik & Lubos Komarek & Zlatuse Komarkova & Petr Kral & Filip Novot, 2008. "Analyses of the Czech Republic's Current Economic Alignment with the Euro Area 2008," Occasional Publications - Edited Volumes, Czech National Bank, Research and Statistics Department, number as08 edited by Dana Hajkova.
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    1. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    2. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    3. D'Agostino, Antonello & McQuinn, Kieran & Whelan, Karl, 2010. "Are Some Forecasters Really Better Than Others?," Research Technical Papers 5/RT/10, Central Bank of Ireland.
    4. Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders, 2017. "Forecasting GDP with global components: This time is different," International Journal of Forecasting, Elsevier, vol. 33(1), pages 153-173.
    5. Abdalla, Ahmed & Carabias, Jose M. & Patatoukas, Panos N., 2021. "The real-time macro content of corporate financial reports: a dynamic factor model approach," LSE Research Online Documents on Economics 108539, London School of Economics and Political Science, LSE Library.
    6. Ippei Fujiwara & Yasuo Hirose, 2011. "Indeterminacy and forecastability," Globalization Institute Working Papers 91, Federal Reserve Bank of Dallas.
    7. Mr. Helge Berger & Mr. Thomas Harjes & Mr. Emil Stavrev, 2008. "The ECB’s Monetary Analysis Revisited," IMF Working Papers 2008/171, International Monetary Fund.
    8. James H. Stock & Mark W. Watson, 2012. "Generalized Shrinkage Methods for Forecasting Using Many Predictors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 481-493, June.
    9. Giannone, Domenico & D’Agostino, Antonello & Gambetti, Luca, 2009. "Macroeconomic Forecasting and Structural Change," CEPR Discussion Papers 7542, C.E.P.R. Discussion Papers.
    10. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2010. "Forecasting with Factor-augmented Error Correction Models," CEPR Discussion Papers 7677, C.E.P.R. Discussion Papers.
    11. Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2009. "Pooling versus Model Selection for Nowcasting with Many Predictors: An Application to German GDP," Economics Working Papers ECO2009/13, European University Institute.
    12. Surico, Paolo & Benati, Luca, 2007. "Evolving U.S. monetary policy and the decline of inflation predictability," Working Paper Series 824, European Central Bank.
    13. Marcellino, Massimiliano & Eickmeier, Sandra & Lemke, Wolfgang, 2011. "Classical time-varying FAVAR models - Estimation, forecasting and structural analysis," CEPR Discussion Papers 8321, C.E.P.R. Discussion Papers.
    14. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
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    17. D'Agostino, A & Whelan, K, 2007. "Federal Reserve Information During the Great Moderation," MPRA Paper 6092, University Library of Munich, Germany.
    18. Claudia Godbout & Marco J. Lombardi, 2012. "Short-Term Forecasting of the Japanese Economy Using Factor Models," Staff Working Papers 12-7, Bank of Canada.
    19. Domenico Giannone & Michèle Lenza & Daphné Momferatu & Luca Onorante, 2010. "Short-term inflation projections: a Bayesian vector autoregressive approach," Working Papers ECARES ECARES 2010-011, ULB -- Universite Libre de Bruxelles.
    20. Ásgeir Daníelsson, 2008. "The great moderation Icelandic style," Economics wp38, Department of Economics, Central bank of Iceland.
    21. Tatevik Sekhposyan & Barbara Rossi, 2008. "Has modelsí forecasting performance for US output growth and inflation changed over time, and when?," Working Papers 09-02, Duke University, Department of Economics.
    22. Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
    23. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
    24. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
    25. Jakaitiene, Audrone & Dées, Stéphane, 2009. "Forecasting the world economy in the short-term," Working Paper Series 1059, European Central Bank.
    26. Ciccarelli, Matteo & Mojon, Benoît, 2006. "Global Inflation," Kiel Working Papers 1337, Kiel Institute for the World Economy.
    27. Tatevik Sekhposyan & Barbara Rossi, 2009. "Has Economic Modelsí Forecasting Performance for US Output Growth and Inflation Changed Over Time, and When?," Working Papers 09-06, Duke University, Department of Economics.
    28. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Post-Print halshs-00460461, HAL.
    29. Edward N. Gamber & Julie K. Smith, 2007. "Are the Fed’s Inflation Forecasts Still Superior to the Private Sector’s?," Working Papers 2007-002, The George Washington University, The Center for Economic Research, revised Jul 2008.
    30. Hännikäinen, Jari, 2016. "When does the yield curve contain predictive power? Evidence from a data-rich environment," MPRA Paper 70489, University Library of Munich, Germany.
    31. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    32. Vugar Ahmadov & Salman Huseynov & Shaig Adigozalov & Fuad Mammadov & Vugar Rahimov, 2018. "Forecasting inflation in post-oil boom years: A case for regime switches?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 369-385, April.
    33. Giacomo Sbrana & Andrea Silvestrini & Fabrizio Venditti, 2015. "Short term inflation forecasting: the M.E.T.A. approach," Temi di discussione (Economic working papers) 1016, Bank of Italy, Economic Research and International Relations Area.
    34. Groen, Jan J.J. & Kapetanios, George, 2016. "Revisiting useful approaches to data-rich macroeconomic forecasting," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 221-239.
    35. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    36. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank.
    37. Mumtaz, Haroon & Surico, Paolo, 2008. "Evolving International Inflation Dynamics: Evidence from a Time-varying Dynamic Factor Model," CEPR Discussion Papers 6767, C.E.P.R. Discussion Papers.
    38. Primiceri, Giorgio & Giannone, Domenico & Lenza, Michele, 2016. "Priors for the Long Run," CEPR Discussion Papers 11261, C.E.P.R. Discussion Papers.
    39. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    40. Haroon Mumtaz & Paolo Surico, 2009. "Time-varying yield curve dynamics and monetary policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 895-913.
    41. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," PSE-Ecole d'économie de Paris (Postprint) halshs-00460461, HAL.
    42. Dur, Ayşe & Martínez García, Enrique, 2020. "Mind the gap!—A monetarist view of the open-economy Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    43. Vugar Ahmadov & Shaig Adigozalov & Salman Huseynov & Fuad Mammadov & Vugar Rahimov, 2016. "Forecasting inflation in post-oil boom years: A case for non-linear models?," Working Papers 1601, Central Bank of Azerbaijan Republic.
    44. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    45. Reichlin, Lucrezia & Giannone, Domenico & Lenza, Michele, 2012. "Money, credit, monetary policy and the business cycle in the euro area," CEPR Discussion Papers 8944, C.E.P.R. Discussion Papers.
    46. Chanont Banternghansa & Michael W. McCracken, 2010. "Real-time forecast averaging with ALFRED," Working Papers 2010-033, Federal Reserve Bank of St. Louis.
    47. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
    48. Rochelle M. Edge & Refet S. Gurkaynak, 2010. "How Useful Are Estimated DSGE Model Forecasts for Central Bankers?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(2 (Fall)), pages 209-259.
    49. Liebermann, Joelle, 2011. "Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters," Research Technical Papers 3/RT/11, Central Bank of Ireland.
    50. Karim Barhoumi & Gerhard R nstler & riccardo Cristadoro & Ard Den Reijer & Audrone Jakaitiene & Piotr Jelonek & Antonio Rua & Ruth Karsten & Szilard Benk & Christophe Van Nieuwenhuyze, 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Working papers 215, Banque de France.
    51. D'Agostino, Antonello & Giannone, Domenico, 2006. "Comparing alternative predictors based on large-panel factor models," Working Paper Series 680, European Central Bank.
    52. Fornari, Fabio & Lemke, Wolfgang, 2010. "Predicting recession probabilities with financial variables over multiple horizons," Working Paper Series 1255, European Central Bank.
    53. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    54. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    55. Paul Hubert, 2015. "Revisiting the greenbook's relative forecasting performance," Post-Print hal-01087522, HAL.
    56. Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015. "Forecasting GDP with global components. This time is different," Working Papers No 1/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    57. Daniel L. Thornton, 2009. "How did we get to inflation targeting and where do we go now? a perspective from the U.S. experience," Working Papers 2009-038, Federal Reserve Bank of St. Louis.
    58. Tim Willems & Sweder van Wijnbergen, 2009. "Imperfect Information, Lagged Labor Adjustment and the Great Moderation," Tinbergen Institute Discussion Papers 09-063/2, Tinbergen Institute, revised 18 Apr 2012.
    59. Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," Research Technical Papers 07/RT/12, Central Bank of Ireland.
    60. Todd E. Clark & Michael W. McCracken, 2006. "Averaging forecasts from VARs with uncertain instabilities," Research Working Paper RWP 06-12, Federal Reserve Bank of Kansas City.
    61. Manzan, Sebastiano & Zerom, Dawit, 2013. "Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?," International Journal of Forecasting, Elsevier, vol. 29(3), pages 469-478.
    62. Rossi, Barbara & Sekhposyan, Tatevik, 2010. "Have economic models' forecasting performance for US output growth and inflation changed over time, and when?," International Journal of Forecasting, Elsevier, vol. 26(4), pages 808-835, October.
    63. Kim Chang-Jin & Kim Yunmi, 2008. "Is the Backward-Looking Component Important in a New Keynesian Phillips Curve?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-20, September.
    64. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    65. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Post-Print halshs-00344839, HAL.
    66. Clements, Michael P., 2016. "Real-time factor model forecasting and the effects of instability," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 661-675.
    67. Reichlin, Lucrezia & Camba-Mendez, Gonzalo & Angelini, Elena & Rünstler, Gerhard & Giannone, Domenico, 2008. "Short-term Forecasts of Euro Area GDP Growth," CEPR Discussion Papers 6746, C.E.P.R. Discussion Papers.
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    71. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Hang Thi Thu Vu, 2021. "The Relationship between Yield Curve and Economic Activity: An Analysis of G7 Countries," JRFM, MDPI, vol. 14(2), pages 1-23, February.
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    73. Cai, Michael & Del Negro, Marco & Giannoni, Marc P. & Gupta, Abhi & Li, Pearl & Moszkowski, Erica, 2019. "DSGE forecasts of the lost recovery," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1770-1789.
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    75. Thomas Sargent & Paolo Surico, 2008. "Monetary policies and low-frequency manifestations of the quantity theory," Discussion Papers 26, Monetary Policy Committee Unit, Bank of England.
    76. Andrea Nobili, 2009. "Composite indicators for monetary analysis," Temi di discussione (Economic working papers) 713, Bank of Italy, Economic Research and International Relations Area.
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    Cited by:

    1. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    2. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.
    3. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    4. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "A Robust Criterion for Determining the Number of Factors in Approximate Factor Models," Working Papers ECARES 2009_023, ULB -- Universite Libre de Bruxelles.
    5. D'Agostino, Antonello & Domenico, Giannone & Surico, Paolo, 2006. "(Un)Predictability and Macroeconomic Stability," Research Technical Papers 5/RT/06, Central Bank of Ireland.
    6. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    7. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    8. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2006. "A Two-step estimator for large approximate dynamic factor models based on Kalman filtering," Thema Working Papers 2006-23, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    9. Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2009. "Pooling versus Model Selection for Nowcasting with Many Predictors: An Application to German GDP," Economics Working Papers ECO2009/13, European University Institute.
    10. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
    11. Amstad, Marlene & Ye, Huan & Ma, Guonan, 2018. "Developing an underlying inflation gauge for China," BOFIT Discussion Papers 11/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    12. Pietro Dallari & Antonio Ribba, 2015. "Dynamic Factor Models with In nite-Dimensional Factor Space: Asymptotic Analysis," Center for Economic Research (RECent) 115, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    13. Alessandro Giovannelli, 2012. "Nonlinear Forecasting Using Large Datasets: Evidences on US and Euro Area Economies," CEIS Research Paper 255, Tor Vergata University, CEIS, revised 08 Nov 2012.
    14. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
    15. Marc Hallin & Roman Liska, 2008. "Dynamic Factors in the Presence of Block Structure," Working Papers ECARES 2008_012, ULB -- Universite Libre de Bruxelles.
    16. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    17. Alessandro Giovannelli & Tommaso Proietti, 2014. "On the Selection of Common Factors for Macroeconomic Forecasting," CREATES Research Papers 2014-46, Department of Economics and Business Economics, Aarhus University.
    18. Asger Lunde & Miha Torkar, 2020. "Including news data in forecasting macro economic performance of China," Computational Management Science, Springer, vol. 17(4), pages 585-611, December.
    19. Allayioti, Anastasia & Venditti, Fabrizio, 2024. "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series 2901, European Central Bank.
    20. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
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    22. Jan J. J. Groen & George Kapetanios, 2009. "Model selection criteria for factor-augmented regressions," Staff Reports 363, Federal Reserve Bank of New York.
    23. Hubrich, Kirstin & Marcellino, Massimiliano & Beck, Günter W., 2006. "Regional inflation dynamics within and across euro area countries and a comparison with the US," Working Paper Series 681, European Central Bank.
    24. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    25. Darracq Pariès, Matthieu & Maurin, Laurent, 2008. "The role of country-specific trade and survey data in forecasting euro area manufacturing production: perspective from large panel factor models," Working Paper Series 894, European Central Bank.
    26. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    27. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation of Non-Stationary Large Approximate Dynamic Factor Models," Papers 1910.09841, arXiv.org.
    28. Buss, Ginters, 2010. "A note on GDP now-/forecasting with dynamic versus static factor models along a business cycle," MPRA Paper 22147, University Library of Munich, Germany.
    29. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    30. Matteo Luciani & Libero Monteforte, 2013. "Uncertainty and heterogeneity in factor models forecasting," Temi di discussione (Economic working papers) 930, Bank of Italy, Economic Research and International Relations Area.
    31. Schnatz, Bernd, 2006. "Is reversion to PPP in euro exchange rates non-linear?," Working Paper Series 682, European Central Bank.
    32. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    33. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    34. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    35. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    36. Sara Serra & João Quelhas, 2023. "The inflation process in Portugal: the role of price spillovers," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    37. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    38. Guido Bulligan & Massimiliano Marcellino & Fabrizio Venditti, 2012. "Forecasting economic activity with higher frequency targeted predictors," Temi di discussione (Economic working papers) 847, Bank of Italy, Economic Research and International Relations Area.
    39. Groen, Jan J.J. & Kapetanios, George, 2016. "Revisiting useful approaches to data-rich macroeconomic forecasting," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 221-239.
    40. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank.
    41. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2009. "Short-term forecasting of GDP using large datasets: a pseudo real-time forecast evaluation exercise," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 595-611.
    42. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    43. Jon Faust & Jonathan H. Wright, 2007. "Comparing Greenbook and Reduced Form Forecasts using a Large Realtime Dataset," NBER Working Papers 13397, National Bureau of Economic Research, Inc.
    44. Jason Angelopoulos, 2017. "Creating and assessing composite indicators: Dynamic applications for the port industry and seaborne trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 126-159, March.
    45. Domenico Giannone & Lucrezia Reichlin & David Small, 2008. "Nowcasting: the real time informational content of macroeconomic data releases," ULB Institutional Repository 2013/6409, ULB -- Universite Libre de Bruxelles.
    46. D. Tutberidze & D. Japaridze, 2017. "Macroeconomic Forecasting Using Bayesian Vector Autoregressive Approach," Вестник Киевского национального университета имени Тараса Шевченко. Экономика., Socionet;Киевский национальный университет имени Тараса Шевченко, vol. 2(191), pages 42-49.
    47. F. Della Marra, 2017. "A forecasting performance comparison of dynamic factor models based on static and dynamic methods," Economics Department Working Papers 2017-ME01, Department of Economics, Parma University (Italy).
    48. Hanisch, Max & Kempa, Bernd, 2017. "The international transmission channels of US supply and demand shocks: Evidence from a non-stationary dynamic factor model for the G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 70-88.
    49. Martina Hengge & Seton Leonard, 2017. "Factor Models for Non-Stationary Series: Estimates of Monthly U.S. GDP," IHEID Working Papers 13-2017, Economics Section, The Graduate Institute of International Studies.
    50. Yannick Le Pen & Benoît Sévi, 2013. "Futures Trading and the Excess Comovement of Commodity Prices," AMSE Working Papers 1301, Aix-Marseille School of Economics, France, revised Jan 2013.
    51. Mr. Allan Timmermann & Mr. Luis Catão & Mr. Marco Aiolfi, 2006. "Common Factors in Latin America's Business Cycles," IMF Working Papers 2006/049, International Monetary Fund.
    52. Gürkaynak, Refet & Edge, Rochelle, 2010. "How Useful Are Estimated DSGE Model Forecasts for Central Bankers?," CEPR Discussion Papers 8158, C.E.P.R. Discussion Papers.
    53. Liebermann, Joelle, 2011. "Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters," Research Technical Papers 3/RT/11, Central Bank of Ireland.
    54. Karim Barhoumi & Gerhard R nstler & riccardo Cristadoro & Ard Den Reijer & Audrone Jakaitiene & Piotr Jelonek & Antonio Rua & Ruth Karsten & Szilard Benk & Christophe Van Nieuwenhuyze, 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Working papers 215, Banque de France.
    55. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
    56. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    57. Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017. "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, vol. 66(C), pages 132-138.
    58. Jorg Breitung & Sandra Eickmeier, 2014. "Analyzing Business and Financial Cycles Using Multi-Level Factor Models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    59. Yifei Lyu & Jun Nie & Shu-Kuei X. Yang, 2020. "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper RWP 20-09, Federal Reserve Bank of Kansas City.
    60. Christian Schulz, 2007. "Forecasting economic growth for Estonia : application of common factor methodologies," Bank of Estonia Working Papers 2007-09, Bank of Estonia, revised 04 Sep 2007.
    61. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    62. Jokubaitis, Saulius & Celov, Dmitrij & Leipus, Remigijus, 2021. "Sparse structures with LASSO through principal components: Forecasting GDP components in the short-run," International Journal of Forecasting, Elsevier, vol. 37(2), pages 759-776.
    63. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    64. Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
    65. Max Hanisch, 2017. "US Monetary Policy and the Euro Area," Discussion Papers of DIW Berlin 1701, DIW Berlin, German Institute for Economic Research.
    66. Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," Research Technical Papers 07/RT/12, Central Bank of Ireland.
    67. Kyle E. Binder & Mohsen Pourahmadi & James W. Mjelde, 2020. "The role of temporal dependence in factor selection and forecasting oil prices," Empirical Economics, Springer, vol. 58(3), pages 1185-1223, March.
    68. Hanisch, Max, 2019. "US monetary policy and the euro area," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 77-96.
    69. Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
    70. Matteo Luciani & Lorenzo Ricci, 2013. "Nowcasting Norway," Working Papers ECARES ECARES 2013-10, ULB -- Universite Libre de Bruxelles.
    71. Lippi, Marco & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni, 2006. "New EuroCOIN: Tracking Economic Growth in Real Time," CEPR Discussion Papers 5633, C.E.P.R. Discussion Papers.
    72. Giannone, Domenico & Ferrara, Laurent & Delle Chiaie, Simona, 2018. "Common Factors of Commodity Prices," CEPR Discussion Papers 12767, C.E.P.R. Discussion Papers.
    73. Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 411-436.
    74. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    75. Dimitar EFTIMOSKI, 2019. "Improving Short-Term Forecasting of Macedonian GDP: Comparing the Factor Model with the Macroeconomic Structural Equation Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 32-53, June.
    76. James H. Stock & Mark W. Watson, 2008. "Phillips Curve Inflation Forecasts," NBER Working Papers 14322, National Bureau of Economic Research, Inc.
    77. Luca Di Bonaventura & Mario Forni & Francesco Pattarin, 2018. "The Forecasting Performance of Dynamic Factor Models with Vintage Data," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0070, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    78. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    79. Viktors Ajevskis & Gundars Davidsons, 2008. "Dynamic Factor Models in Forecasting Latvia's Gross Domestic Product," Working Papers 2008/02, Latvijas Banka.
    80. Christian Schulz, 2008. "Forecasting economic activity for Estonia : The application of dynamic principal component analyses," Bank of Estonia Working Papers 2008-02, Bank of Estonia, revised 30 Oct 2008.
    81. Marco J. Lombardi & Philipp Maier, 2010. "‘Lean’ versus ‘Rich’ Data Sets: Forecasting during the Great Moderation and the Great Recession," Staff Working Papers 10-37, Bank of Canada.
    82. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
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    84. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
    85. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
    86. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
    87. Rochelle M. Edge & Refet S. Gürkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).
    88. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Sep 2024.
    89. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
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    93. Andrea Nobili, 2009. "Composite indicators for monetary analysis," Temi di discussione (Economic working papers) 713, Bank of Italy, Economic Research and International Relations Area.
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  57. Reichlin, Lucrezia & Giannone, Domenico, 2006. "Does Information Help Recovering Structural Shocks from Past Observations?," CEPR Discussion Papers 5725, C.E.P.R. Discussion Papers.

    Cited by:

    1. Alho, Kari O.E. & Nikula, Nuutti, 2006. "Productivity, Empoyment and Taxes - Evidence on the Potential Trade-offs and Impacts in the EU," Discussion Papers 1054, The Research Institute of the Finnish Economy.
    2. Kilian, Lutz & Lee, Thomas K, 2013. "Quantifying the Speculative Component in the Real Price of Oil: The Role of Global Oil Inventories," CEPR Discussion Papers 9297, C.E.P.R. Discussion Papers.
    3. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    4. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    5. Anastasios Evgenidis & Stephanos Papadamou, 2021. "The impact of unconventional monetary policy in the euro area. Structural and scenario analysis from a Bayesian VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5684-5703, October.
    6. Mackowiak, Bartosz & Jarocinski, Marek, 2013. "Granger-Causal-Priority and Choice of Variables in Vector Autoregressions," CEPR Discussion Papers 9686, C.E.P.R. Discussion Papers.
    7. Rilind Kabashi, 2017. "Macroeconomic effects of fiscal policy in the European Union, with particular reference to transition countries," Public Sector Economics, Institute of Public Finance, vol. 41(1), pages 39-69.
    8. Lippi, Marco & Forni, Mario & Sala, Luca & Gambetti, Luca, 2013. "Noisy News in Business cycles," CEPR Discussion Papers 9601, C.E.P.R. Discussion Papers.
    9. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
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    4. Philip Liu & Rafael Romeu, 2010. "A Dynamic Factor Model of Quarterly Real Gross Domestic Product Growth in the Caribbean: The Case of Cuba and the Bahamas," Annual Proceedings, The Association for the Study of the Cuban Economy, vol. 20.
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    7. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65, July.
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    24. Winkelried, Diego, 2012. "Predicting quarterly aggregates with monthly indicators," Working Papers 2012-023, Banco Central de Reserva del Perú.
    25. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.
    26. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    27. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
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    29. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
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    33. Enrico di Bella & Lucia Leporatti & Filomena Maggino, 2018. "Big Data and Social Indicators: Actual Trends and New Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 869-878, February.
    34. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    35. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    36. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
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  61. Giannone, Domenico & Lenza, Michele, 2004. "The Feldstein-Horioka Fact," CEPR Discussion Papers 4610, C.E.P.R. Discussion Papers.

    Cited by:

    1. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2009. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," MPRA Paper 15312, University Library of Munich, Germany.
    2. Erauskin, Iñaki, 2015. "Savings, the size of the net foreign asset position, and the dynamics of current accounts," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 353-370.
    3. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    4. Kumar, Saten & Sen, Rahul & Srivastava, Sadhana, 2014. "Does economic integration stimulate capital mobility? An analysis of four regional economic communities in Africa," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 33-50.
    5. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    6. Cesa-Bianchi, Ambrogio & Imbs, Jean & Saleheen, Jumana, 2019. "Finance and synchronization," Journal of International Economics, Elsevier, vol. 116(C), pages 74-87.
    7. Laura Jaramillo & Miss Anke Weber, 2013. "Global Spillovers into Domestic Bond Markets in Emerging Market Economies," IMF Working Papers 2013/264, International Monetary Fund.
    8. Trapani, Lorenzo, 2021. "Inferential theory for heterogeneity and cointegration in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 474-503.
    9. Ginama, Isamu & Hayakawa, Kazuhiko & Kanmei, Takahiro, 2018. "Examining the Feldstein–Horioka puzzle using common factor panels and interval estimation," Japan and the World Economy, Elsevier, vol. 48(C), pages 11-21.
    10. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    11. Mariam Camarero & Alejandro Muñoz & Cecilio Tamarit, 2022. "The rise and fall of global financial flows in EU 15: new evidence using dynamic panels with common correlated effects," Working Papers 2212, Department of Applied Economics II, Universidad de Valencia.
    12. Peter Fuleky & Luigi Ventura & Qianxue Zhao, 2013. "Common correlated effects and international risk sharing," Working Papers 2013-17R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Aug 2016.
    13. Domenico Giannone & Lucrezia Reichlin, 2005. "Trends and cycles in the Euro Area: how much heterogeneity and should we worry about it?," Macroeconomics 0511016, University Library of Munich, Germany.
    14. Fischer, Andreas & Amstad, Marlene, 2005. "Shock Identification of Macroeconomic Forecasts Based on Daily Panels," CEPR Discussion Papers 5008, C.E.P.R. Discussion Papers.
    15. Kumar, Saten & Rao, B. Bhaskara, 2009. "A Time Series Approach to the Feldstein-Horioka Puzzle with Panel Data from the OECD Countries," MPRA Paper 18464, University Library of Munich, Germany.
    16. Harald Oberhofer & Christian Glocker & Werner Hölzl & Peter Huber & Serguei Kaniovski & Klaus Nowotny & Michael Pfaffermayr & Monique Ebell & Nikolaos Kontogiannis, 2016. "Single Market Transmission Mechanisms Before, During and After the 2008-09 Crisis. A Quantitative Assessment," WIFO Studies, WIFO, number 59156.
    17. Joe Garmondyu Greaves, 2018. "Investigating Saving and Investment Relationship: Evidence from an Autoregressive Distributed Lag Bounds Testing Approach in Liberia," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 89-104.
    18. Salvatore Dell'Erba & Sergio Sola, 2013. "Fiscal Policy, Interest Rates and Risk Premia in Open Economy," IHEID Working Papers 05-2013, Economics Section, The Graduate Institute of International Studies.
    19. Navrotska Nataliia, 2013. "Main tendencies of globalisation of savings and investments in the world economy," The Problems of Economy, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), issue 2, pages 12-19.
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    21. Cimadomo, Jacopo & Bénassy-Quéré, Agnès, 2012. "Changing patterns of fiscal policy multipliers in Germany, the UK and the US," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 845-873.
    22. Lenza, Michele, 2023. "Inflation and wage growth since the pandemic: A comment," European Economic Review, Elsevier, vol. 158(C).
    23. Markus Brueckner & Wojtek Paczos & Evi Pappa, 2020. "On the Relationship between Domestic Saving and the Current Account: Evidence and Theory for Developing Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(5), pages 1071-1106, August.
    24. Ambaye, Guesh Gebremeske & Berhanu, T. & Abera, G., . "Modeling the Determinats of Domestic Private Investments in Ethiopia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(4), pages 1-11.
    25. Beckmann, Joscha & Czudaj, Robert L., 2024. "Uncertainty Shocks and Inflation: The Role of Credibility and Expectation Anchoring," MPRA Paper 119971, University Library of Munich, Germany.
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    27. Vasudeva N. R. Murthy & Natalya Ketenci, 2020. "Capital mobility in Latin American and Caribbean countries: new evidence from dynamic common correlated effects panel data modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-17, December.
    28. Pavel Trunin & Andrey Zubarev, 2013. "The Feldstein-Horioka Puzzle: Modern Aspects," Working Papers 0070, Gaidar Institute for Economic Policy, revised 2013.
    29. Hwang, Sun Ho & Kim, Yun Jung, 2018. "Capital mobility in OECD countries: A multi-level factor approach to saving–investment correlations," Economic Modelling, Elsevier, vol. 69(C), pages 150-159.
    30. John C. Bluedorn, 2005. "Hurricanes: Intertemporal Trade and Capital Shocks," Economics Papers 2005-W22, Economics Group, Nuffield College, University of Oxford.
    31. Costantini, Mauro & Gutierrez, Luciano, 2013. "Capital mobility and global factor shocks," Economics Letters, Elsevier, vol. 120(3), pages 513-515.
    32. Andrea R. Lamorgese & Gianmarco I.P. Ottaviano, 2006. "Intercity interactions: evidence from the US," 2006 Meeting Papers 667, Society for Economic Dynamics.
    33. Smets, Frank & Beyer, Robert C. M., 2015. "Labour market adjustments in Europe and the US: How different?," Working Paper Series 1767, European Central Bank.
    34. Sal AMIRKHALKHALI & Atul DAR, 2016. "Public Debt, Saving-Investment-Current Account Dynamics, and Capital Mobility in OECD countries, 1999-2013," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1), pages 5-12.
    35. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    36. Ketenci, Natalya, 2014. "Capital Mobility in Russia," MPRA Paper 59013, University Library of Munich, Germany.
    37. Alex Bowen & Emanuele Campiglio & Massimo Tavoni, 2014. "A Macroeconomic Perspective On Climate Change Mitigation: Meeting The Financing Challenge," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-35.
    38. Anastasios Mastroyiannis, 2007. "Current Account Dynamics and the Feldstein and Horioka Puzzle: the Case of Greece," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 4(1), pages 91-99, June.
    39. Mr. Salvatore Dell'Erba & Mr. Sergio Sola, 2013. "Does Fiscal Policy Affect Interest Rates? Evidence from a Factor-Augmented Panel," IMF Working Papers 2013/159, International Monetary Fund.
    40. Kateřina Šímová, 2020. "Verification of Feldstein-Horioka Puzzle (Example of European Union Countries) [Verifikace Feldsteinovy-Horiokovy hádanky (příklad zemí Evropské unie)]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2020(2), pages 43-60.
    41. Holmes, Mark J. & Otero, Jesús, 2014. "Re-examining the Feldstein–Horioka and Sachs' views of capital mobility: A heterogeneous panel setup," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 1-11.
    42. Robin W. Boadway & Jean-François Tremblay, 2016. "Modernizing Business Taxation," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 452, May.
    43. Sal AMIRKHALKHALI & Atul DAR, 2020. "Saving-Investment-Current Accounts Dynamics, Financial Crisis And Economic Growth: Some Empirical Results," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 20(2), pages 47-56.
    44. Nataliia Osina, 2021. "Global governance and gross capital flows dynamics," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(3), pages 463-493, August.

  62. Domenico Giannone & Lucrezia Reichlin, 2004. "Euro area and US recessions: 1970-2003," ULB Institutional Repository 2013/6405, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Heather M. Anderson & Mardi Dungey & Denise R Osborn & Farshid Vahid, 2010. "Financial Integration and the Construction of Historical Financial Data for the Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 152, Economics, The University of Manchester.
    2. Heather Anderson & Mardi Dungey & Denise R. Osborn & Farshid Vahid, 2007. "Constructing Historical Euro Area Data," CAMA Working Papers 2007-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Robert Pater, 2014. "Are there two types of business cycles? a note on crisis detection," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(3), pages 1-28, December.
    4. Robert KOLLMANN, 2011. "Global Banking and International Business Cycles," 2011 Meeting Papers 20, Society for Economic Dynamics.
    5. Mirko Abbritti; Sebastian Weber, 2008. "Labor Market Rigidities and the Business Cycle: Price vs. Quantity Restricting Institutions," IHEID Working Papers 01-2008, Economics Section, The Graduate Institute of International Studies, revised Jan 2008.
    6. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2008. "Business Cycles in the Euro Area," NBER Working Papers 14529, National Bureau of Economic Research, Inc.
    7. Mili, Mehdi & Sahut, Jean-Michel & Teulon, Frédéric, 2012. "Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence," Economic Modelling, Elsevier, vol. 29(3), pages 734-741.
    8. Marco Lombardi & Mr. Raphael A Espinoza & Fabio Fornari, 2009. "The Role of Financial Variables in Predicting Economic Activity in the Euro Area," IMF Working Papers 2009/241, International Monetary Fund.
    9. Alain Kabundi & Elsabé Loots, 2010. "Patterns Of Co‐Movement Between South Africa And Germany: Evidence From The Period 1985 To 2006," South African Journal of Economics, Economic Society of South Africa, vol. 78(4), pages 383-399, December.
    10. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.

  63. Reichlin, Lucrezia & Sala, Luca & Giannone, Domenico, 2002. "Tracking Greenspan: Systematic and Unsystematic Monetary Policy Revisited," CEPR Discussion Papers 3550, C.E.P.R. Discussion Papers.

    Cited by:

    1. Fabio C. Bagliano & Claudio Morana, 2006. "International Macroeconomic Dynamics: a Factor Vector Autoregressive Approach," ICER Working Papers 41-2006, ICER - International Centre for Economic Research.
    2. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    3. Eickmeier, Sandra, 2006. "Comovements and heterogeneity in the Comovements and heterogeneity in the dynamic factor model," Discussion Paper Series 1: Economic Studies 2006,31, Deutsche Bundesbank.
    4. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," NBER Working Papers 10220, National Bureau of Economic Research, Inc.
    5. Alain Kabundi & Francisco Nadal De Simone, 2011. "France in the global economy: a structural approximate dynamic factor model analysis," Empirical Economics, Springer, vol. 41(2), pages 311-342, October.
    6. Alhassan Abdullah Mohammed, 2011. "A Coincident Indicator of the Gulf Cooperation Council Business Cycle," Review of Middle East Economics and Finance, De Gruyter, vol. 6(3), pages 1-23, February.
    7. Matteo LUCIANI, "undated". "Monetary Policy and the Housing Market: A Structural Factor Analysis," Working Papers wp2010-7, Department of the Treasury, Ministry of the Economy and of Finance.
    8. Erdemlioglu, Deniz, 2009. "Macro Factors in UK Excess Bond Returns: Principal Components and Factor-Model Approach," MPRA Paper 28895, University Library of Munich, Germany.
    9. Andreas Fischer & Marlene Amstad, 2004. "Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment," Working Papers 04.06, Swiss National Bank, Study Center Gerzensee.
    10. Reichlin, Lucrezia & Sala, Luca & Giannone, Domenico, 2005. "Monetary Policy in Real Time," CEPR Discussion Papers 4981, C.E.P.R. Discussion Papers.
    11. Fabio Bagliano & Claudio Morana, 2008. "Factor vector autoregressive estimation: a new approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 15-23, June.
    12. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    13. Ms. Natalia T. Tamirisa & Alain N. Kabundi & Ms. Deniz O Igan & Mr. Francisco d Nadal De Simone & Marcelo Pinheiro, 2009. "Three Cycles: Housing, Credit, and Real Activity," IMF Working Papers 2009/231, International Monetary Fund.
    14. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    15. 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.
    16. Steffen Henzel & Malte Rengel, 2013. "Dimensions of macroeconomic uncertainty: A common factor analysis," ifo Working Paper Series 167, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    17. Abdullah Alhassan, 2009. "A Coincident Indicator of the Gulf Cooperation Council (GCC) Business Cycle," IMF Working Papers 2009/073, International Monetary Fund.
    18. Eickmeier, Sandra & Breitung, Jörg, 2005. "How synchronized are central and east European economies with the euro area? Evidence from a structural factor model," Discussion Paper Series 1: Economic Studies 2005,20, Deutsche Bundesbank.
    19. Sandra Eickmeier & Joerg Breitung, 2006. "Business cycle transmission from the euro area to CEECs," Computing in Economics and Finance 2006 229, Society for Computational Economics.
    20. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006. "VARs, common factors and the empirical validation of equilibrium business cycle models," Journal of Econometrics, Elsevier, vol. 132(1), pages 257-279, May.
    21. Eickmeier, Sandra, 2004. "Business Cycle Transmission from the US to Germany: a Structural Factor Approach," Discussion Paper Series 1: Economic Studies 2004,12, Deutsche Bundesbank.
    22. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2007. "Opening the black box: structural factor models with large cross-sections," Working Paper Series 712, European Central Bank.
    23. Alain Kabundi, 2009. "Synchronisation Between South Africa And The U.S.: A Structural Dynamic Factor Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 1-27, March.
    24. Marcellino, Massimiliano & Kapetanios, George, 2006. "Impulse Response Functions from Structural Dynamic Factor Models: A Monte Carlo Evaluation," CEPR Discussion Papers 5621, C.E.P.R. Discussion Papers.
    25. Kabundi, Alain & Nadal De Simone, Francisco, 2012. "Recent French relative export performance: Is there a competitiveness problem?," Economic Modelling, Elsevier, vol. 29(4), pages 1408-1435.
    26. Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
    27. Lippi, Marco & Reichlin, Lucrezia & Forni, Mario, 2003. "Opening the Black Box: Structural Factor Models versus Structural VARs," CEPR Discussion Papers 4133, C.E.P.R. Discussion Papers.
    28. In Choi, 2012. "Model Selection for Factor Analysis: Some New Criteria and Performance Comparisons," Working Papers 1209, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    29. Sandra Eickmeier, 2009. "Comovements and heterogeneity in the euro area analyzed in a non-stationary dynamic factor model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 933-959.
    30. In Choi, 2011. "Efficient Estimation of Nonstationary Factor Models," Working Papers 1101, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.
    31. Fladung, Michael, 2007. "Spill-over effects of monetary policy: a progress report on interest rate convergence in Europe," Discussion Paper Series 1: Economic Studies 2007,27, Deutsche Bundesbank.
    32. Pappa, Evi & Molteni, Francesco, 2017. "The Combination of Monetary and Fiscal Policy Shocks: A TVP-FAVAR Approach," CEPR Discussion Papers 12541, C.E.P.R. Discussion Papers.
    33. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
    34. Blaes, Barno, 2009. "Money and monetary policy transmission in the euro area: evidence from FAVAR- and VAR approaches," Discussion Paper Series 1: Economic Studies 2009,18, Deutsche Bundesbank.
    35. Eickmeier, Sandra & Breitung, Jorg, 2006. "How synchronized are new EU member states with the euro area? Evidence from a structural factor model," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 538-563, September.
    36. George Kapetanios & Massimiliano Marcellino, 2006. "Factor-GMM Estimation with Large Sets of Possibly Weak Instruments," Working Papers 577, Queen Mary University of London, School of Economics and Finance.
    37. Tais Carestiato Da Silva & Helder Ferreira De Mendonça, 2011. "Setting The Interest Rate For Twooutlier Countries," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 207, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    38. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
    39. Ansgar Belke & Thorsten Polleit, 2007. "How the ECB and the US Fed set interest rates," Applied Economics, Taylor & Francis Journals, vol. 39(17), pages 2197-2209.
    40. Ullrich, Katrin, 2003. "A Comparison Between the Fed and the ECB: Taylor Rules," ZEW Discussion Papers 03-19, ZEW - Leibniz Centre for European Economic Research.
    41. David Navrátil, 2004. "Systematická složka měnové politiky ČNB v režimu cílování inflace [Systematic part of CNB's monetary policy in inflation targeting regime]," Politická ekonomie, Prague University of Economics and Business, vol. 2004(5), pages 623-636.
    42. Mario Forni & Filippo Altissimo & Riccardo Cristadoro & Marco Lippi & Giovanni Veronese., 2008. "New Eurocoin: Tracking Economic Growth in Real Time," Center for Economic Research (RECent) 020, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    43. Sterken, Elmer, 2003. "Monetary transmission, asset prices, and the business cycle indicator in Germany," CCSO Working Papers 200315, University of Groningen, CCSO Centre for Economic Research.
    44. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    45. Massimiliano Serati & Gianni Amisano, 2008. "Building composite leading indexes in a dynamic factor model framework: a new proposal," LIUC Papers in Economics 212, Cattaneo University (LIUC).
    46. Gary Koop & Simon M. Potter, 2003. "Forecasting in large macroeconomic panels using Bayesian Model Averaging," Staff Reports 163, Federal Reserve Bank of New York.
    47. Houssa, Romain, 2008. "Monetary union in West Africa and asymmetric shocks: A dynamic structural factor model approach," Journal of Development Economics, Elsevier, vol. 85(1-2), pages 319-347, February.
    48. McCallum, Andrew & Smets, Frank, 2007. "Real wages and monetary policy transmission in the euro area," Kiel Working Papers 1360, Kiel Institute for the World Economy.
    49. Alain Kabundi & Elsabé Loots, 2010. "Patterns Of Co‐Movement Between South Africa And Germany: Evidence From The Period 1985 To 2006," South African Journal of Economics, Economic Society of South Africa, vol. 78(4), pages 383-399, December.
    50. Alejandro Justiniano, 2004. "Sources and Propagation Mechanims of Foreign Disturbances in Small Open Economies: A Dynamic Factor Analysis," Econometric Society 2004 Latin American Meetings 148, Econometric Society.
    51. Olivier de Bandt & Catherine Bruno & Alexis Flageollet, 2006. "Assessing Aggregate Comovements in France, Germany and Italy. Using a Non Stationary Factor Model of the Euro Area," Working papers 145, Banque de France.
    52. Fabio C. Bagliano & Claudio Morana, 2006. "A New Approach to Factor Vector Autoregressive Estimation with an Application to Large-Scale Macroeconometric Modelling," Carlo Alberto Notebooks 28, Collegio Carlo Alberto.
    53. Igan, Deniz & Kabundi, Alain & Nadal De Simone, Francisco & Pinheiro, Marcelo & Tamirisa, Natalia, 2011. "Housing, credit, and real activity cycles: Characteristics and comovement," Journal of Housing Economics, Elsevier, vol. 20(3), pages 210-231, September.
    54. Andrea Beltratti & Claudio Morana, 2008. "International shocks and national house prices," ICER Working Papers - Applied Mathematics Series 14-2008, ICER - International Centre for Economic Research.
    55. Elmer Sterken, 2004. "The Role of the IFO Business Climate Indicator and Asset Prices in German Monetary Policy," CESifo Working Paper Series 1204, CESifo.
    56. Ansgar Belke & Wim Kösters & Martin Leschke & Thorsten Polleit, 2005. "Back to the rules," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 268/2005, Department of Economics, University of Hohenheim, Germany.
    57. Eickmeier, Sandra, 2005. "Common stationary and non-stationary factors in the euro area analyzed in a large-scale factor model," Discussion Paper Series 1: Economic Studies 2005,02, Deutsche Bundesbank.
    58. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
    59. James H. James & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," Working Papers 2005-2, Princeton University. Economics Department..
    60. Benoit Mojon, 2007. "Monetary policy, output composition and the Great Moderation," Working Paper Series WP-07-07, Federal Reserve Bank of Chicago.
    61. Francesco Belviso & Fabio Milani, 2005. "Structural Factor-Augmented VAR (SFAVAR) and the Effects of Monetary Policy," Macroeconomics 0503023, University Library of Munich, Germany.

  64. Reichlin, Lucrezia & Sala, Luca & Giannone, Domenico, 2002. "VARs, Common Factors and the Empirical Validation of Equilibrium Business Cycle Models," CEPR Discussion Papers 3701, C.E.P.R. Discussion Papers.

    Cited by:

    1. Mario Forni & Luca Sala & Luca Gambetti, 2015. "No News in Business Cycles," Working Papers 535, Barcelona School of Economics.
    2. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "A Robust Criterion for Determining the Number of Factors in Approximate Factor Models," Working Papers ECARES 2009_023, ULB -- Universite Libre de Bruxelles.
    3. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    4. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    5. Davide Brignone & Alessandro Franconi & Marco Mazzali, 2023. "Robust Impulse Responses using External Instruments: the Role of Information," Papers 2307.06145, arXiv.org.
    6. Marc Hallin & Roman Liska, 2008. "Dynamic Factors in the Presence of Block Structure," Working Papers ECARES 2008_012, ULB -- Universite Libre de Bruxelles.
    7. AMMOURI, Bilel & TOUMI, Hassen & Zitouna, Habib, 2015. "Forecasting Inflation in Tunisia Using Dynamic Factors Model," MPRA Paper 65514, University Library of Munich, Germany.
    8. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Giancarlo Corsetti & Luca Dedola & Sylvain Leduc, 2006. "Productivity, External Balance and Exchange Rates: Evidence on the Transmission Mechanism Among G7 Countries," NBER Working Papers 12483, National Bureau of Economic Research, Inc.
    10. Eleni Zafeiriou & Spyros Galatsidas & Christina Moulogianni & Spyridon Sofios & Garyfallos Arabatzis, 2024. "Evaluating Enteric Fermentation-Driven Environmental Kuznets Curve Dynamics: A Bayesian Vector Autoregression Comparative Study of the EU and Least Developed Countries," Agriculture, MDPI, vol. 14(11), pages 1-16, November.
    11. Martial Dupaigne & Patrick Fève & Julien Matheron, 2005. "Technology Shock and Employment: Do We Really Need DSGE Models with a Fall in Hours?," Working papers 124, Banque de France.
    12. Luca Sala & Luca Gambetti & Mario Forni, 2016. "VAR Information and the Empirical Validation of DSGE Models," 2016 Meeting Papers 260, Society for Economic Dynamics.
    13. Minxian Yang, 2017. "Effects of idiosyncratic shocks on macroeconomic time series," Empirical Economics, Springer, vol. 53(4), pages 1441-1461, December.
    14. Mario Forni & Luca Gambetti & marco Lippi & Luca Sala, 2020. "Common Components Structural VARs," Center for Economic Research (RECent) 147, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    15. Everett Grant & Julieta Yung, 2025. "Analysis of Upstream, Downstream, and Common Firm Shocks Using a Large Factor‐Augmented Vector Autoregressive Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 111-130, March.
    16. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
    17. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2007. "Opening the black box: structural factor models with large cross-sections," Working Paper Series 712, European Central Bank.
    18. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    19. Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.
    20. António Rua & Francisco Craveiro Dias, 2008. "Determining the number of factors in approximate factor models with global and group-specific factors," Working Papers w200809, Banco de Portugal, Economics and Research Department.
    21. Dias Francisco & Pinheiro Maximiano & Rua António, 2013. "Determining the number of global and country-specific factors in the euro area," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 573-617, December.
    22. Lippi, Marco & Reichlin, Lucrezia & Forni, Mario, 2003. "Opening the Black Box: Structural Factor Models versus Structural VARs," CEPR Discussion Papers 4133, C.E.P.R. Discussion Papers.
    23. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    24. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. rea cipollini & giuseppe missaglia, 2005. "Business cycle effects on Portfolio Credit Risk: scenario generation through Dynamic Factor analysis," Finance 0502010, University Library of Munich, Germany.
    26. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun Vahey, 2008. "RBCs and DSGEs: The Computational Approach to Business Cycle Theory and Evidence," Working Paper 2008/17, Norges Bank.
    27. Renee Fry & Adrian Pagan, 2005. "Some Issues In Using Vars For Macroeconometric Research," CAMA Working Papers 2005-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    28. Wang, Zongrun & Zhou, Ling & Mi, Yunlong & Shi, Yong, 2022. "Measuring dynamic pandemic-related policy effects: A time-varying parameter multi-level dynamic factor model approach," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    29. Dordonnat, Virginie & Koopman, Siem Jan & Ooms, Marius, 2012. "Dynamic factors in periodic time-varying regressions with an application to hourly electricity load modelling," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3134-3152.
    30. Forni, Mario & Cavicchioli, Maddalena & Lippi, Marco & Zaffaroni, Paolo, 2016. "Eigenvalue Ratio Estimators for the Number of Common Factors," CEPR Discussion Papers 11440, C.E.P.R. Discussion Papers.
    31. Jeroen V.K. Rombouts & Jakob Guldbæk Mikkelsen, 2017. "Testing for time-varying loadings in dynamic factor models," CREATES Research Papers 2017-22, Department of Economics and Business Economics, Aarhus University.
    32. Tibor Szendrei & Katalin Varga, 2020. "FISS - A Factor-based Index of Systemic Stress in the Financial System," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 3-34, March.
    33. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    34. Fabio Canova & Filippo Ferroni, 2009. "Multiple filtering devices for the estimation of cyclical DSGE models," Economics Working Papers 1135, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2010.
    35. Gregor B urle, 2008. "Priors from DSGE Models for Dynamic Factor Analysis," Diskussionsschriften dp0803, Universitaet Bern, Departement Volkswirtschaft.
    36. Kyriaki-Argyro Tsioptsia & Eleni Zafeiriou & Dimitrios Niklis & Nikolaos Sariannidis & Constantin Zopounidis, 2022. "The Corporate Economic Performance of Environmentally Eligible Firms Nexus Climate Change: An Empirical Research in a Bayesian VAR Framework," Energies, MDPI, vol. 15(19), pages 1-16, October.
    37. Forni, Mario & Gambetti, Luca, 2010. "Macroeconomic Shocks and the Business Cycle: Evidence from a Structural Factor Model," CEPR Discussion Papers 7692, C.E.P.R. Discussion Papers.
    38. Zsolt Darvas & György Szapáry, 2006. "Business Cycle Synchronization in the Enlarged EU," Working Papers 0604, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    39. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Giancarlo Corsetti & Luca Dedola & Sylvain Leduc, 2007. "Productivity and the dollar," Working Paper Series 2007-27, Federal Reserve Bank of San Francisco.
    41. Bodnar, Taras & Reiß, Markus, 2016. "Exact and asymptotic tests on a factor model in low and large dimensions with applications," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 125-151.
    42. Francesco Bianchi & Giovanni Nicolo & Dongho Song, 2023. "Inflation and Real Activity over the Business Cycle," Finance and Economics Discussion Series 2023-038, Board of Governors of the Federal Reserve System (U.S.).
    43. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," CAEPR Working Papers 2008-013, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    44. Mario Forni & Luca Gambetti & Luca Sala, 2018. "Fundamentalness, Granger Causality and Aggregation," Center for Economic Research (RECent) 139, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    45. Mario Forni & Luca Gambetti, 2008. "The dynamic e ects of monetary policy: A structural factor model approach," Center for Economic Research (RECent) 026, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    46. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    47. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2008. "A review of nonfundamentalness and identification in structural VAR models," Working Paper Series 922, European Central Bank.
    48. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
    49. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
    50. Darvas, Zsolt & Szapáry, György, 2004. "Konjunktúraciklusok együttmozgása a régi és új EU-tagországokban [Business cycle harmonization in new and old EU member-states]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 415-448.
    51. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Dynamic factor models: A review of the literature," Post-Print hal-01385974, HAL.
    52. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    53. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.

Articles

  1. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia Sbordone, 2025. "A Large Bayesian VAR of the U.S. Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 21(2), pages 351-409, April.

    Cited by:

    1. 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.

  2. Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024. "Back to the present: Learning about the euro area through a now-casting model," International Journal of Forecasting, Elsevier, vol. 40(2), pages 661-686.
    See citations under working paper version above.
  3. 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.
  4. Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021. "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1173-1191.
    See citations under working paper version above.
  5. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2021. "Multimodality In Macrofinancial Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 861-886, May.
    See citations under working paper version above.
  6. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.
    See citations under working paper version above.
  7. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Vulnerable Growth," American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.
    See citations under working paper version above.
  8. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2019. "Money, Credit, Monetary Policy, and the Business Cycle in the Euro Area: What Has Changed Since the Crisis?," International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 137-173, December.
    See citations under working paper version above.
  9. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2019. "Priors for the Long Run," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 565-580, April.
    See citations under working paper version above.
  10. Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
    See citations under working paper version above.
  11. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    See citations under working paper version above.
  12. Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
    See citations under working paper version above.
  13. Altavilla, Carlo & Giannone, Domenico & Modugno, Michele, 2017. "Low frequency effects of macroeconomic news on government bond yields," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 31-46.
    See citations under working paper version above.
  14. A. Colangelo & D. Giannone & M. Lenza & H. Pill & L. Reichlin, 2017. "The national segmentation of euro area bank balance sheets during the financial crisis," Empirical Economics, Springer, vol. 53(1), pages 247-265, August.

    Cited by:

    1. Albert Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis : this time was different," Documents de Travail de l'OFCE 2019-11, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Nikolay Hristov & Oliver Hülsewig & Johann Scharler, 2021. "Unconventional Monetary Policy Shocks in the Euro Area and the Sovereign-Bank Nexus," International Journal of Central Banking, International Journal of Central Banking, vol. 17(3), pages 337-383, September.
    3. Andreas Beyer & Benoît Coeuré & Caterina Mendicino, 2017. "Foreword – The crisis, ten years after: Lessons learnt for monetary and financial research," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 494-495-4, pages 45-64.
    4. Marie‐Hélène Gagnon & Céline Gimet, 2023. "One size may not fit all: Financial fragmentation and European monetary policies," Review of International Economics, Wiley Blackwell, vol. 31(1), pages 305-340, February.

  15. Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2017. "Safety, Liquidity, and the Natural Rate of Interest," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 235-316.
    See citations under working paper version above.
  16. Carlo Altavilla & Domenico Giannone, 2017. "The Effectiveness of Non‐Standard Monetary Policy Measures: Evidence from Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 952-964, August.
    See citations under working paper version above.
  17. Laura Coroneo & Domenico Giannone & Michele Modugno, 2016. "Unspanned Macroeconomic Factors in the Yield Curve," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 472-485, July.
    See citations under working paper version above.
  18. Carlo Altavilla & Domenico Giannone & Michele Lenza, 2016. "The Financial and Macroeconomic Effects of the OMT Announcements," International Journal of Central Banking, International Journal of Central Banking, vol. 12(3), pages 29-57, September.
    See citations under working paper version above.
  19. 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.
  20. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    See citations under working paper version above.
  21. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    See citations under working paper version above.
  22. Conflitti, Cristina & De Mol, Christine & Giannone, Domenico, 2015. "Optimal combination of survey forecasts," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1096-1103.
    See citations under working paper version above.
  23. Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2014. "Short-term inflation projections: A Bayesian vector autoregressive approach," International Journal of Forecasting, Elsevier, vol. 30(3), pages 635-644.
    See citations under working paper version above.
  24. Antonello D'Agostino & Luca Gambetti & Domenico Giannone, 2013. "Macroeconomic forecasting and structural change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 82-101, January.
    See citations under working paper version above.
  25. Antonello D’ Agostino & Domenico Giannone, 2012. "Comparing Alternative Predictors Based on Large‐Panel Factor Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 306-326, April.
    See citations under working paper version above.
  26. Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michele Modugno, 2012. "An Area-Wide Real-Time Database for the Euro Area," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1000-1013, November.
    See citations under working paper version above.
  27. Domenico Giannone & Michele Lenza & Huw Pill & Lucrezia Reichlin, 2012. "The ECB and the Interbank Market," Economic Journal, Royal Economic Society, vol. 122(564), pages 467-486, November.
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  28. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
    See citations under working paper version above.
  29. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2011. "Market Freedom and the Global Recession," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(1), pages 111-135, April.
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  30. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    See citations under working paper version above.
  31. Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-44, February.
    See citations under working paper version above.
  32. Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 6(1), pages 103-117.
    See citations under working paper version above.
  33. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    See citations under working paper version above.
  34. Domenico Giannone & Michele Lenza, 2009. "Business cycles in the euro area," Research Bulletin, European Central Bank, vol. 8, pages 5-7.
    See citations under working paper version above.
  35. Giannone, Domenico & Reichlin, Lucrezia & Simonelli, Saverio, 2009. "Nowcasting Euro Area Economic Activity in Real Time: The Role of Confidence Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 210, pages 90-97, October.
    See citations under working paper version above.
  36. Giannone, Domenico & Reichlin, Lucrezia, 2009. "Comments on "Forecasting economic and financial variables with global VARs"," International Journal of Forecasting, Elsevier, vol. 25(4), pages 684-686, October.

    Cited by:

    1. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    2. Jacques Kibambe Ngoie & Arnold Zellner, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 201217, University of Pretoria, Department of Economics.
    3. Helmut Herwartz, 2011. "Forecast accuracy and uncertainty in applied econometrics: a recommendation of specific-to-general predictor selection," Empirical Economics, Springer, vol. 41(2), pages 487-510, October.
    4. Camehl, Annika, 2023. "Penalized estimation of panel vector autoregressive models: A panel LASSO approach," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1185-1204.
    5. Florian Huber & Jesus Crespo-Cuaresma & Martin Feldkircher, 2014. "Forecasting with Bayesian Global Vector Autoregressions," ERSA conference papers ersa14p25, European Regional Science Association.
    6. Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic forecasting in a multi‐country context," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1230-1255, September.
    7. Tomáš Slacík & Katharina Steiner & Julia Wörz, 2014. "Can Trade Partners Help Better FORCEE the Future? Impact of Trade Linkages on Economic Growth Forecasts in Selected CESEE Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 36-56.
    8. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    9. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2014. "Forecasting with Bayesian Global Vector Autoregressive Models: A Comparison of Priors," Working Papers 189, Oesterreichische Nationalbank (Austrian Central Bank).

  37. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.
    See citations under working paper version above.
  38. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    See citations under working paper version above.
  39. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2008. "Explaining The Great Moderation: It Is Not The Shocks," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 621-633, 04-05.
    See citations under working paper version above.
  40. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2008. "Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?," Journal of Econometrics, Elsevier, vol. 146(2), pages 318-328, October.
    See citations under working paper version above.
  41. Domenico Giannone & Troy D. Matheson, 2007. "A New Core Inflation Indicator for New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 145-180, December.
    See citations under working paper version above.
  42. Domenico Giannone & Lucrezia Reichlin, 2006. "Does information help recovering structural shocks from past observations?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 455-465, 04-05.
    See citations under working paper version above.
  43. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006. "VARs, common factors and the empirical validation of equilibrium business cycle models," Journal of Econometrics, Elsevier, vol. 132(1), pages 257-279, May.
    See citations under working paper version above.

Chapters

  1. Francesco Furno & Domenico Giannone, 2024. "Nowcasting recession risk," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 7, pages 156-186, Edward Elgar Publishing.

    Cited by:

    1. Patrick J. Coe & Shaun P. Vahey, 2025. "Reassessing the Predictive Power of the Yield Spread for Recessions in the United States," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 231-236, March.

  2. Richard K. Crump & Miro Everaert & Domenico Giannone & C. Sean Hundtofte, 2024. "Changing Risk-Return Profiles," Springer Books, in: Matteo Barigozzi & Siegfried Hörmann & Davy Paindaveine (ed.), Recent Advances in Econometrics and Statistics, pages 283-302, Springer.
    See citations under working paper version above.
  3. Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global Trends in Interest Rates," NBER Chapters, in: NBER International Seminar on Macroeconomics 2018, pages 248-262, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  4. Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016. "Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 569-594, Emerald Group Publishing Limited.
    See citations under working paper version above.
  5. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    See citations under working paper version above.
  6. Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  7. Domenico Giannone, 2010. "Comment on "Can Parameter Instability Explain the Meese-Rogoff Puzzle?"," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 180-190, National Bureau of Economic Research, Inc.

    Cited by:

    1. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "Exchange Rate Predictability in a Changing World," Working Paper series 06_14, Rimini Centre for Economic Analysis.
    2. Haroon Mumtaz & Laura Sunder‐Plassmann, 2013. "Time‐Varying Dynamics Of The Real Exchange Rate: An Empirical Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(3), pages 498-525, April.
    3. Byrne, Joseph P & Korobilis, Dimitris & Ribeiro, Pinho J, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," MPRA Paper 58956, University Library of Munich, Germany.

  8. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2010. "Business Cycles in the Euro Area," NBER Chapters, in: Europe and the Euro, pages 141-167, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  9. Domenico Giannone & Lucrezia Reichlin & Luca Sala, 2005. "Monetary Policy in Real Time," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 161-224, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
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