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Marco Lippi

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. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2002. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," CEPR Discussion Papers 3432, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. Guest Contribution: “Nowcasting Global GDP Growth”
      by Menzie Chinn in Econbrowser on 2015-03-12 09:56:18

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. 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
  2. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models
    2. > Econometrics > Big Data
  3. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-652, June.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models

Working papers

  1. Forni, Mario & Gambetti, Luca & Lippi, Marco & Sala, Luca, 2020. "Common Component Structural VARs," CEPR Discussion Papers 15529, C.E.P.R. Discussion Papers.

    Cited by:

    1. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    2. Pagan, Adrian & Robinson, Tim, 2022. "Excess shocks can limit the economic interpretation," European Economic Review, Elsevier, vol. 145(C).
    3. Gianluca Cubadda & Marco Mazzali, 2024. "The vector error correction index model: representation, estimation and identification," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 126-150.
    4. 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.

  2. Marc Hallin & Siegfried Hörmann & Marco Lippi, 2017. "Optimal Dimension Reduction for High-dimensional and Functional Time Series," Working Papers ECARES ECARES 2017-39, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  3. Forni, Mario & Giovannelli, Alessandro & Lippi, Marco & Soccorsi, Stefano, 2016. "Dynamic Factor model with infinite dimensional factor space: forecasting," CEPR Discussion Papers 11161, C.E.P.R. Discussion Papers.

    Cited by:

    1. Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Jean-Armand Gnagne & Kevin Moran, 2020. "Forecasting Bank Failures in a Data-Rich Environment," Working Papers 20-13, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    3. Philipp Gersing, 2024. "A Distributed Lag Approach to the Generalised Dynamic Factor Model (GDFM)," Papers 2410.20885, arXiv.org.
    4. Barbara Rossi, 2021. "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1135-1190, December.
    5. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    6. Massacci, Daniele & Kapetanios, George, 2024. "Forecasting in factor augmented regressions under structural change," International Journal of Forecasting, Elsevier, vol. 40(1), pages 62-76.
    7. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    8. 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".
    9. Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
    10. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    11. Paolo Andreini & Donato Ceci, 2019. "A Horse Race in High Dimensional Space," CEIS Research Paper 452, Tor Vergata University, CEIS, revised 14 Feb 2019.
    12. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org, revised May 2025.
    13. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    14. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2019. "Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness," Working Papers ECARES 2019-09, ULB -- Universite Libre de Bruxelles.
    15. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
    16. Jean Armand Gnagne & Kevin Moran, 2018. "Monitoring Bank Failures in a Data-Rich Environment," Cahiers de recherche 1815, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    17. Lippi, Marco & Hallin, Marc & Forni, Mario & Zaffaroni, Paolo, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," CEPR Discussion Papers 10618, C.E.P.R. Discussion Papers.
    18. Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
    19. Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2020. "Deep Dynamic Factor Models," Papers 2007.11887, arXiv.org, revised May 2023.
    20. Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-14.
    21. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    22. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    23. Tommaso Proietti & Alessandro Giovannelli, 2020. "Nowcasting Monthly GDP with Big Data: a Model Averaging Approach," CEIS Research Paper 482, Tor Vergata University, CEIS, revised 12 May 2020.
    24. Fan Yang & Robert C. Qiu & Zenan Ling & Xing He & Haosen Yang, 2019. "Detection and Analysis of Multiple Events Based on High-Dimensional Factor Models in Power Grid," Energies, MDPI, vol. 12(7), pages 1-16, April.
    25. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    26. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    27. Alessandro Giovannelli & Tommaso Proietti & Ambra Citton & Ottavio Ricchi & Cristian Tegami & Cristina Tinti, 2020. "Nowcasting GDP and its Components in a Data-rich Environment: the Merits of the Indirect Approach," CEIS Research Paper 489, Tor Vergata University, CEIS, revised 30 May 2020.
    28. Liang Zeng & Lei Wang & Hui Niu & Ruchen Zhang & Ling Wang & Jian Li, 2021. "Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling," Papers 2107.11972, arXiv.org, revised Jul 2024.
    29. Siegfried Hörmann & Gilles Nisol, 2021. "Prediction of Singular VARs and an Application to Generalized Dynamic Factor Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 295-313, May.
    30. 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).
    31. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    32. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    33. Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
    34. Simone Tonini & Francesca Chiaromonte & Alessandro Giovannelli, 2022. "On the impact of serial dependence on penalized regression methods," LEM Papers Series 2022/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    35. 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.

  4. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Di Iorio, Francesca & Fachin, Stefano, 2021. "Evaluating restricted common factor models for non-stationary data," Econometrics and Statistics, Elsevier, vol. 17(C), pages 64-75.
    2. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    3. Theodore Panagiotidis & Panagiotis Printzis, 2019. "What is the Investment Loss due to Uncertainty?," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 138, Hellenic Observatory, LSE.
    4. Cristina Conflitti and Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    5. Panagiotidis, Theodore & Printzis, Panagiotis, 2021. "Investment and uncertainty: Are large firms different from small ones?," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
    6. Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2021. "One-stop source: A global database of inflation," CAMA Working Papers 2021-59, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Corona, Francisco & Poncela, Pilar & Ruiz Ortega, Esther, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    9. Hsiang-Hsi Liu & Chien-Kuo Tseng, 2022. "Common Components in Co-integrated System and Its Estimation and Application: Evidence from Five Stock Markets in Asia-Pacific Chinese Region," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 101-121.
    10. Dalibor Stevanovic & Rachidi Kotchoni & Maxime Leroux, 2017. "Forecasting economic activity in data-rich environment," CIRANO Working Papers 2017s-05, CIRANO.
    11. 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.
    12. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    13. Francisco Corona & Graciela González-Farías & Pedro Orraca, 2017. "A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-35, December.
    14. 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.
    15. 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.).
    16. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.

  5. Maddalena Cavicchioli & Mario Forni & Marco Lippi & Paolo zaffaroni, 2016. "Eigenvalue Ratio Estimators for the Number of Dynamic Factors," Center for Economic Research (RECent) 123, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".

    Cited by:

    1. Geert Mesters & Christian Brownlees, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.

  6. Lippi, Marco & Hallin, Marc & Forni, Mario & Zaffaroni, Paolo, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," CEPR Discussion Papers 10618, C.E.P.R. Discussion Papers.

    Cited by:

    1. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation of Non-Stationary Large Approximate Dynamic Factor Models," Papers 1910.09841, arXiv.org.
    2. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    3. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    4. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    5. Philipp Gersing, 2024. "A Distributed Lag Approach to the Generalised Dynamic Factor Model (GDFM)," Papers 2410.20885, arXiv.org.
    6. Jari Miettinen & Katrin Illner & Klaus Nordhausen & Hannu Oja & Sara Taskinen & Fabian J. Theis, 2016. "Separation of Uncorrelated Stationary time series using Autocovariance Matrices," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 337-354, May.
    7. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    8. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2012. "Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations," Working Papers ECARES ECARES 2012-046, ULB -- Universite Libre de Bruxelles.
    9. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    10. 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".
    11. Marc Hallin & Siegfried Hörmann & Marco Lippi, 2017. "Optimal Dimension Reduction for High-dimensional and Functional Time Series," Working Papers ECARES ECARES 2017-39, ULB -- Universite Libre de Bruxelles.
    12. 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.
    13. Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
    14. Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," Papers 2305.06618, arXiv.org.
    15. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    16. Matteo Barigozzi & Lorenzo Trapani, 2017. "Sequential testing for structural stability in approximate factor models," Papers 1708.02786, arXiv.org, revised Mar 2020.
    17. Barigozzi, Matteo & Massacci, Daniele, 2025. "Modelling large dimensional datasets with Markov switching factor models," Journal of Econometrics, Elsevier, vol. 247(C).
    18. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    19. Valadkhani, Abbas, 2023. "Asymmetric downside risk across different sectors of the US equity market," Global Finance Journal, Elsevier, vol. 57(C).
    20. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    21. Christian Gross & Pierre L. Siklos, 2018. "Analyzing Credit Risk Transmission to the Non-Financial Sector in Europe: A Network Approach," CQE Working Papers 7218, Center for Quantitative Economics (CQE), University of Muenster.
    22. John Nkwoma Inekwe, 2022. "Economic performance in Africa: The role of fragile financial system," The World Economy, Wiley Blackwell, vol. 45(6), pages 1910-1936, June.
    23. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org, revised May 2025.
    24. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    25. 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".
    26. Daniel Peña & Victor J. Yohai, 2016. "Generalized Dynamic Principal Components," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1121-1131, July.
    27. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2019. "Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness," Working Papers ECARES 2019-09, ULB -- Universite Libre de Bruxelles.
    28. Duc Thi Luu, 2022. "Portfolio Correlations in the Bank-Firm Credit Market of Japan," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 529-569, August.
    29. Lippi, Marco & Hallin, Marc & Forni, Mario & Zaffaroni, Paolo, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," CEPR Discussion Papers 10618, C.E.P.R. Discussion Papers.
    30. Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
    31. Qian Wei & Heng-Guo Zhang, 2025. "An Adaptive Evolutionary Causal Dynamic Factor Model," Mathematics, MDPI, vol. 13(11), pages 1-25, June.
    32. Alonso, Andrés M. & Galeano, Pedro & Peña, Daniel, 2020. "A robust procedure to build dynamic factor models with cluster structure," Journal of Econometrics, Elsevier, vol. 216(1), pages 35-52.
    33. Shahin Tavakoli & Gilles Nisol & Marc Hallin, 2023. "Factor models for high‐dimensional functional time series II: Estimation and forecasting," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(5-6), pages 601-621, September.
    34. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2020. "Cointegration and Error Correction Mechanisms for Singular Stochastic Vectors," Econometrics, MDPI, vol. 8(1), pages 1-23, February.
    35. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    36. Jiahe Lin & George Michailidis, 2019. "Approximate Factor Models with Strongly Correlated Idiosyncratic Errors," Papers 1912.04123, arXiv.org.
    37. Miaomiao Niu & Guohao Li, 2022. "The Impact of Climate Change Risks on Residential Consumption in China: Evidence from ARMAX Modeling and Granger Causality Analysis," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    38. Junfan Mao & Zhigen Gao & Bing-Yi Jing & Jianhua Guo, 2024. "On the statistical analysis of high-dimensional factor models," Statistical Papers, Springer, vol. 65(8), pages 4991-5019, October.
    39. Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-14.
    40. 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.
    41. Matteo Barigozzi & Marc Hallin, 2015. "Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting," Working Papers ECARES ECARES 2015-22, ULB -- Universite Libre de Bruxelles.
    42. Matteo Barigozzi, 2022. "On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis," Papers 2211.01921, arXiv.org, revised Jul 2023.
    43. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    44. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    45. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    46. Tommaso Proietti & Alessandro Giovannelli, 2020. "Nowcasting Monthly GDP with Big Data: a Model Averaging Approach," CEIS Research Paper 482, Tor Vergata University, CEIS, revised 12 May 2020.
    47. Philipp Gersing & Matteo Barigozzi & Christoph Rust & Manfred Deistler, 2023. "The Canonical Decomposition of Factor Models: Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Feb 2025.
    48. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    49. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    50. Barigozzi, Matteo & Hallin, Marc, 2017. "A network analysis of the volatility of high-dimensionalfinancial series," LSE Research Online Documents on Economics 67456, London School of Economics and Political Science, LSE Library.
    51. Yang, Lu, 2022. "Idiosyncratic information spillover and connectedness network between the electricity and carbon markets in Europe," Journal of Commodity Markets, Elsevier, vol. 25(C).
    52. Marc Hallin, 2022. "Manfred Deistler and the General Dynamic Factor Model Approach to the Analysis of High-Dimensional Time Series," Working Papers ECARES 2022-30, ULB -- Universite Libre de Bruxelles.
    53. Assaf, A. George & Tsionas, Mike G., 2019. "Forecasting occupancy rate with Bayesian compression methods," Annals of Tourism Research, Elsevier, vol. 75(C), pages 439-449.
    54. Yu, Zhen & Liu, Wei & Yang, Fuyu, 2023. "A central bankers’ sentiment index of global financial cycle," Finance Research Letters, Elsevier, vol. 57(C).
    55. Siegfried Hörmann & Gilles Nisol, 2021. "Prediction of Singular VARs and an Application to Generalized Dynamic Factor Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 295-313, May.
    56. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Papers 1510.05118, arXiv.org, revised Jul 2016.
    57. 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.
    58. 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).
    59. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    60. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    61. Groß, Christian, 2019. "Analyzing credit risk transmission to the non-financial sector in Europe: a network approach," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203645, Verein für Socialpolitik / German Economic Association.
    62. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    63. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    64. Krupskii, Pavel & Joe, Harry, 2020. "Flexible copula models with dynamic dependence and application to financial data," Econometrics and Statistics, Elsevier, vol. 16(C), pages 148-167.
    65. Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
    66. Simone Tonini & Francesca Chiaromonte & Alessandro Giovannelli, 2022. "On the impact of serial dependence on penalized regression methods," LEM Papers Series 2022/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    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.
    68. Marc Hallin & Gilles Nisol & Shahin Tavakoli, 2023. "Factor models for high‐dimensional functional time series I: Representation results," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(5-6), pages 578-600, September.
    69. Kim, Donggyu & Fan, Jianqing, 2019. "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, vol. 208(2), pages 395-417.
    70. Philipp Gersing, 2024. "On the Existence of One-Sided Representations for the Generalised Dynamic Factor Model," Papers 2410.18159, arXiv.org, revised Mar 2025.

  7. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2014. "Dynamic Factor Models, Cointegration and Error Correction Mechanisms," Working Papers ECARES ECARES 2014-14, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    2. Corona, Francisco & Poncela, Pilar & Ruiz Ortega, Esther, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Soccorsi, Stefano, 2016. "Measuring nonfundamentalness for structural VARs," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
    4. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. 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.
    6. Carlo A. Favero & Alessandro Melone, 2019. "Asset Pricing vs Asset Expected Returning in Factor Models," Working Papers 651, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. 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.).

  8. Marc Hallin & Marco Lippi, 2013. "Factor Models in High-Dimensional Time Series: A Time-Domain Approach," Working Papers ECARES ECARES 2013-15, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Matteo Barigozzi & Marc Hallin, 2014. "Generalized Dynamic Factor Models and Volatilities. Recovering the Market Volatility Shocks," Working Papers ECARES ECARES 2014-52, ULB -- Universite Libre de Bruxelles.
    2. 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.
    3. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    4. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    5. Marc Hallin & Siegfried Hörmann & Marco Lippi, 2017. "Optimal Dimension Reduction for High-dimensional and Functional Time Series," Working Papers ECARES ECARES 2017-39, ULB -- Universite Libre de Bruxelles.
    6. Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
    7. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," Journal of Econometrics, Elsevier, vol. 206(1), pages 187-225.
    8. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org, revised May 2025.
    9. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    10. Daniel Peña & Victor J. Yohai, 2016. "Generalized Dynamic Principal Components," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1121-1131, July.
    11. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2019. "Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness," Working Papers ECARES 2019-09, ULB -- Universite Libre de Bruxelles.
    12. Lippi, Marco & Hallin, Marc & Forni, Mario & Zaffaroni, Paolo, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," CEPR Discussion Papers 10618, C.E.P.R. Discussion Papers.
    13. Matteo Barigozzi & Marc Hallin, 2015. "Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting," Working Papers ECARES ECARES 2015-22, ULB -- Universite Libre de Bruxelles.
    14. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    15. Philipp Gersing & Matteo Barigozzi & Christoph Rust & Manfred Deistler, 2023. "The Canonical Decomposition of Factor Models: Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Feb 2025.
    16. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    17. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    18. Barigozzi, Matteo & Hallin, Marc, 2017. "A network analysis of the volatility of high-dimensionalfinancial series," LSE Research Online Documents on Economics 67456, London School of Economics and Political Science, LSE Library.
    19. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Papers 1510.05118, arXiv.org, revised Jul 2016.
    20. 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).
    21. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    22. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    23. Herath, H.M. Wiranthe B. & Samadi, S. Yaser, 2025. "Scaled envelope models for multivariate time series," Journal of Multivariate Analysis, Elsevier, vol. 205(C).
    24. Richard D. F. Harris & Anh T. H. Nguyen, 2017. "Dynamic factor long memory volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1205-1221, August.
    25. Philipp Gersing, 2024. "On the Existence of One-Sided Representations for the Generalised Dynamic Factor Model," Papers 2410.18159, arXiv.org, revised Mar 2025.
    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.).

  9. Lippi, Marco & Forni, Mario & Sala, Luca & Gambetti, Luca, 2013. "Noise Bubbles," CEPR Discussion Papers 9532, C.E.P.R. Discussion Papers.
    • Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.

    Cited by:

    1. Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2017. "Persuasion Bias in Science: Can Economics Help?," Economic Journal, Royal Economic Society, vol. 127(605), pages 266-304, October.
    2. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    3. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2015. "Star Wars: The Empirics Strike Back," Working Papers 1505E, University of Ottawa, Department of Economics.
    4. Lionel Page & Charles N. Noussair & Robert Slonim, 2021. "The replication crisis, the rise of new research practices and what it means for experimental economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 210-225, December.
    5. Mario Forni & Luca Gambetti, 2011. "Sufficient information in structural VARs," Center for Economic Research (RECent) 062, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    6. 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".

  10. Lippi, Marco & Forni, Mario & Sala, Luca & Gambetti, Luca, 2013. "Noisy News in Business cycles," CEPR Discussion Papers 9601, C.E.P.R. Discussion Papers.

    Cited by:

    1. Hilde C. Bjørnland & Malin C. Jensen & Leif Anders Thorsrud, 2023. "Business Cycle and Health Dynamics during the COVID-19 Pandemic. A Scandinavian Perspective," Working Papers No 15/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Bolboaca Maria & Fischer Sarah, 2021. "Unraveling News: Reconciling Conflicting Evidence," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 695-743, June.
    3. Luca Sala & Luca Gambetti & Mario Forni, 2016. "VAR Information and the Empirical Validation of DSGE Models," 2016 Meeting Papers 260, Society for Economic Dynamics.
    4. Daniela Fantozzi & Alessio Muscarnera, 2021. "A News-based Policy Index for Italy: Expectations and Fiscal Policy," CEIS Research Paper 509, Tor Vergata University, CEIS, revised 11 Mar 2021.
    5. Patrick Feve, 2016. "Sentiments in SVARs," 2016 Meeting Papers 175, Society for Economic Dynamics.
    6. Christoph Gortz & Christopher Gunn & Thomas A. Lubik, 2020. "Is There News in Inventories?," Discussion Papers 20-07, Department of Economics, University of Birmingham.
    7. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    8. Paul Hubert & Giovanni Ricco, 2018. "Imperfect information in macroeconomics," Post-Print hal-03458122, HAL.
    9. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
    10. Mario Forni & Luca Gambetti, 2014. "Government Spending Shocks in Open Economy VARs," Center for Economic Research (RECent) 105, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    11. Andrea Gazzani, 2020. "News and noise bubbles in the housing market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 46-72, April.
    12. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    13. Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
    14. Luca Gambetti & Dimitris Korobilis & John D. Tsoukalas & Francesco Zanetti, 2023. "Agreed and Disagreed Uncertainty," Working Papers 2023_04, Business School - Economics, University of Glasgow.
    15. Laurentiu Guinea & Luis A. Puch & Jesús Ruiz, 2019. "News-driven housing booms: Spain vs. Germany," Documentos de Trabajo del ICAE 2019-32, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    16. Langer, Viktoria C.E., 2016. "News shocks, nonseparable preferences, and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 237-246.
    17. Schnattinger, Philip, 2023. "Beliefs- and fundamentals-driven job creation," Bank of England working papers 1040, Bank of England.
    18. Brianti, Marco & Cormun, Vito, 2023. "Expectation-Driven Boom-Bust Cycles," Working Papers 2023-4, University of Alberta, Department of Economics.
    19. Jonathan J Adams & Philip Barrett, 2022. "Shocks to Inflation Expectations," Working Papers 001007, University of Florida, Department of Economics.
    20. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," AMSE Working Papers 1717, Aix-Marseille School of Economics, France.
    21. Christoph Gortz & John D. Tsoukalas & Francesco Zanetti, 2020. "News Shocks Under Financial Frictions," CAMA Working Papers 2020-94, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    22. Lenard Lieb & Adam Jassem & Rui Jorge Almeida & Nalan Baştürk & Stephan Smeekes, 2025. "Min(d)ing the President: A Text Analytic Approach to Measuring Tax News," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(2), pages 285-314, April.
    23. Muñoz-Guillermo, María, 2022. "On the dynamics of the q-deformed Puu’s model with cubic investment map," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    24. Stephane Dees & Srecko Zimic, 2019. "Animal spirits, fundamental factors and business cycle fluctuations," Post-Print hal-03285242, HAL.
    25. Zeno Enders & Michael Kleemann & Gernot J. Muller, 2021. "Growth Expectations, Undue Optimism, and Short-Run Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 905-921, December.
    26. Corona, Francisco & Poncela, Pilar & Ruiz Ortega, Esther, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Fabio Milani & Ashish Rajrhandari, 2012. "Observed Expectations, News Shocks, and the Business Cycle," Working Papers 121305, University of California-Irvine, Department of Economics.
    28. Ryan Chahrour & Kyle Jurado, 2018. "News or Noise? The Missing Link," American Economic Review, American Economic Association, vol. 108(7), pages 1702-1736, July.
    29. Luca Gambetti & Dimitris Korobilis & John D. Tsoukalas & Francesco Zanetti, 2018. "The Effect of News Shocks and Monetary Policy," Working Paper series 18-19, Rimini Centre for Economic Analysis.
    30. Danilo Cascaldi-Garcia & Ana Beatriz Galvao, 2018. "News and Uncertainty Shocks," International Finance Discussion Papers 1240, Board of Governors of the Federal Reserve System (U.S.).
    31. Giovanni Caggiano & Efrem Castelnuovo & Valentina Colombo & Gabriela Nodari, 2015. "Estimating Fiscal Multipliers: News From A Non‐linear World," Economic Journal, Royal Economic Society, vol. 0(584), pages 746-776, May.
    32. Riccardo M. Masolo & Alessia Paccagnini, 2019. "Identifying Noise Shocks: A VAR with Data Revisions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2145-2172, December.
    33. 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".
    34. Ravn, Morten & Pappa, Evi & Lagerborg, Andresa Helena, 2020. "Sentimental Business Cycles," CEPR Discussion Papers 15098, C.E.P.R. Discussion Papers.
    35. Crouzet, Nicolas & Oh, Hyunseung, 2016. "What do inventories tell us about news-driven business cycles?," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 49-66.
    36. Luca Gambetti & Nicolò Maffei-Faccioli & Sarah Zoi, 2022. "Bad News, Good News: Coverage and Response Asymmetries," Working Paper 2022/8, Norges Bank.
    37. Miyamoto, Wataru & Nguyen, Thuy Lan, 2020. "The expectational effects of news in business cycles: Evidence from forecast data," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 184-200.
    38. Tatjana Dahlhaus & Luca Gambetti, 2025. "Noisy monetary policy announcements," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 164-180, March.
    39. 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".
    40. Cascaldi-Garcia, Danilo, 2025. "Forecast revisions as instruments for news shocks," Journal of Monetary Economics, Elsevier, vol. 151(C).
    41. Claudio, João C. & von Schweinitz, Gregor, 2020. "On the international dissemination of technology news shocks," IWH Discussion Papers 25/2020, Halle Institute for Economic Research (IWH).
    42. Nadav Ben Zeev, 2018. "The Tfp Channel Of Credit Supply Shocks," Working Papers 1802, Ben-Gurion University of the Negev, Department of Economics.
    43. Joshua Chan & Luca Benati & Eric Eisenstat & Gary Koop, 2018. "Identifying Noise Shocks," Working Paper Series 41, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    44. Guinea, Laurentiu & Puch, Luis A. & Ruiz, Jesús, 2024. "Energy news shocks and their propagation to renewable and fossil fuels use," Energy Economics, Elsevier, vol. 130(C).
    45. Marco Flaccadoro, 2022. "Exchange rate pass-through in small, open, commodity-exporting economies: lessons from Canada," Temi di discussione (Economic working papers) 1368, Bank of Italy, Economic Research and International Relations Area.
    46. 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.
    47. Offick, Sven & Wohltmann, Hans-Werner, 2015. "Volatility effects of news shocks in (B)RE models with optimal monetary policy," Economics Working Papers 2015-07, Christian-Albrechts-University of Kiel, Department of Economics.
    48. Soccorsi, Stefano, 2016. "Measuring nonfundamentalness for structural VARs," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
    49. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    50. Benhima, Kenza & Poilly, Céline, 2021. "Does demand noise matter? Identification and implications," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 278-295.
    51. Dimitris Korobilis & Davide Pettenuzzo, 2017. "Adaptive Hierarchical Priors for High-Dimensional Vector Autoregessions," Working Papers 115, Brandeis University, Department of Economics and International Business School.
    52. Fabio Canova & Mehdi Hamidi Sahneh, 2018. "Are Small-Scale SVARs Useful for Business Cycle Analysis? Revisiting Nonfundamentalness," Journal of the European Economic Association, European Economic Association, vol. 16(4), pages 1069-1093.
    53. Vegard H. Larsen & Leif Anders Thorsrud, 2019. "Business Cycle Narratives," CESifo Working Paper Series 7468, CESifo.
    54. Cascaldi-Garcia, Danilo & Vukoti, Marija & Zubairy, Sarah, 2023. "Innovation During Challenging Times," The Warwick Economics Research Paper Series (TWERPS) 1475, University of Warwick, Department of Economics.
    55. Gambetti, Luca & Moretti, Laura, 2017. "News, Noise and Oil Price Swings," Research Technical Papers 12/RT/17, Central Bank of Ireland.
    56. Stephane Dees, 2017. "The role of confidence shocks in business cycles and their global dimension," Post-Print hal-03879746, HAL.
    57. Yutaka Kurihara & Akio Fukushima, 2019. "AR Model or Machine Learning for Forecasting GDP and Consumer Price for G7 Countries," Applied Economics and Finance, Redfame publishing, vol. 6(3), pages 1-6, May.
    58. Ramey, VA, 2016. "Macroeconomic Shocks and Their Propagation," University of California at San Diego, Economics Working Paper Series qt5mb353t2, Department of Economics, UC San Diego.
    59. Adams, Jonathan J., 2023. "Moderating noise-driven macroeconomic fluctuations under dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
    60. Danilo Cascaldi-Garcia, 2017. "Amplification effects of news shocks through uncertainty," 2017 Papers pca1251, Job Market Papers.
    61. Nadav Ben Zeev, 2015. "WHAT CAN WE LEARN ABOUT NEWS SHOCKS FROM THE LATE 1990s AND EARLY 2000s BOOM-BUST PERIOD?," Working Papers 1501, Ben-Gurion University of the Negev, Department of Economics.
    62. Boubaker, Sabri & Nguyen, Duc Khuong & Paltalidis, Nikos, 2018. "Fiscal policy interventions at the zero lower bound," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 297-314.
    63. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2020. "News and why it is not shocking: The role of micro-foundations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    64. Nicolas Reigl, 2023. "Noise shocks and business cycle fluctuations in three major European Economies," Empirical Economics, Springer, vol. 64(2), pages 603-657, February.
    65. Yong, Chen & Dingming, Liu, 2019. "How does government spending news affect interest rates? Evidence from the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    66. Bretscher, Lorenzo & Malkhozov, Aytek & Tamoni, Andrea, 2021. "Expectations and aggregate risk," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 91-108.
    67. Kyle Jurado & Ryan Chahrour, 2018. "Recoverability," 2018 Meeting Papers 320, Society for Economic Dynamics.
    68. Mario Forni & Luca Gambetti, 2011. "Sufficient information in structural VARs," Center for Economic Research (RECent) 062, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    69. Walentin, Karl, 2014. "Expectation driven business cycles with limited enforcement," Economics Letters, Elsevier, vol. 124(2), pages 300-303.
    70. Gabriel Di Bella & Mr. Francesco Grigoli, 2018. "Optimism, Pessimism, and Short-Term Fluctuations," IMF Working Papers 2018/001, International Monetary Fund.
    71. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    72. Han, Xu, 2018. "Estimation and inference of dynamic structural factor models with over-identifying restrictions," Journal of Econometrics, Elsevier, vol. 202(2), pages 125-147.
    73. Mikhaylov, Dmitry, 2023. "Macroeconomic Forecasting with the Use of News Data," Working Papers w20220250, Russian Presidential Academy of National Economy and Public Administration.
    74. Zhongjun Qu & Denis Tkachenko, 2023. "Using arbitrary precision arithmetic to sharpen identification analysis for DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 644-667, June.
    75. Nelimarkka, Jaakko, 2017. "Evidence on News Shocks under Information Deficiency," MPRA Paper 80850, University Library of Munich, Germany.
    76. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    77. Paul Labonne & Leif Anders Thorsrud, 2023. "Risky news and credit market sentiment," Working Papers No 14/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    78. Hamidi Sahneh, Mehdi, 2017. "News, Noise, and Tests of Present Value Models," MPRA Paper 82715, University Library of Munich, Germany.
    79. Yang, Yang & Tang, Yanling & Zhang, Ren & Wu, Li, 2023. "Investigating the impact of technology and noise shocks on capital flows," Finance Research Letters, Elsevier, vol. 56(C).
    80. 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.
    81. Sims, Eric, 2016. "What׳s news in News? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 41-60.
    82. Antonio M. Conti & Concetta Rondinelli, 2015. "Easier said than done: the divergence between soft and hard data," Questioni di Economia e Finanza (Occasional Papers) 258, Bank of Italy, Economic Research and International Relations Area.

  11. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2012. "Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations," Working Papers ECARES ECARES 2012-046, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    2. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    3. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    4. Matteo Barigozzi & Marc Hallin, 2014. "Generalized Dynamic Factor Models and Volatilities. Recovering the Market Volatility Shocks," Working Papers ECARES ECARES 2014-52, ULB -- Universite Libre de Bruxelles.
    5. Jari Miettinen & Katrin Illner & Klaus Nordhausen & Hannu Oja & Sara Taskinen & Fabian J. Theis, 2016. "Separation of Uncorrelated Stationary time series using Autocovariance Matrices," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 337-354, May.
    6. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    7. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    8. 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, Canadian Economics Association, vol. 51(3), pages 695-746, August.
    9. 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".
    10. Massacci, Daniele, 2017. "Least squares estimation of large dimensional threshold factor models," Journal of Econometrics, Elsevier, vol. 197(1), pages 101-129.
    11. Marc Hallin & Siegfried Hörmann & Marco Lippi, 2017. "Optimal Dimension Reduction for High-dimensional and Functional Time Series," Working Papers ECARES ECARES 2017-39, ULB -- Universite Libre de Bruxelles.
    12. 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.
    13. Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
    14. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    15. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    16. Christian Gross & Pierre L. Siklos, 2018. "Analyzing Credit Risk Transmission to the Non-Financial Sector in Europe: A Network Approach," CQE Working Papers 7218, Center for Quantitative Economics (CQE), University of Muenster.
    17. Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2016. "A spectral EM algorithm for dynamic factor models," Working Papers 1619, Banco de España.
    18. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org, revised May 2025.
    19. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    20. 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".
    21. Daniel Peña & Victor J. Yohai, 2016. "Generalized Dynamic Principal Components," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1121-1131, July.
    22. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2019. "Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness," Working Papers ECARES 2019-09, ULB -- Universite Libre de Bruxelles.
    23. Lippi, Marco & Hallin, Marc & Forni, Mario & Zaffaroni, Paolo, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," CEPR Discussion Papers 10618, C.E.P.R. Discussion Papers.
    24. Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
    25. Qian Wei & Heng-Guo Zhang, 2025. "An Adaptive Evolutionary Causal Dynamic Factor Model," Mathematics, MDPI, vol. 13(11), pages 1-25, June.
    26. Alonso, Andrés M. & Galeano, Pedro & Peña, Daniel, 2020. "A robust procedure to build dynamic factor models with cluster structure," Journal of Econometrics, Elsevier, vol. 216(1), pages 35-52.
    27. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2020. "Cointegration and Error Correction Mechanisms for Singular Stochastic Vectors," Econometrics, MDPI, vol. 8(1), pages 1-23, February.
    28. Jiahe Lin & George Michailidis, 2019. "Approximate Factor Models with Strongly Correlated Idiosyncratic Errors," Papers 1912.04123, arXiv.org.
    29. Popović Goran & Erić Ognjen & Bjelić Jelena, 2020. "Factor Analysis of Prices and Agricultural Production in the European Union," Economics, Sciendo, vol. 8(1), pages 73-81, June.
    30. Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-14.
    31. Fan, Jianqing & Xue, Lingzhou & Yao, Jiawei, 2017. "Sufficient forecasting using factor models," Journal of Econometrics, Elsevier, vol. 201(2), pages 292-306.
    32. 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.
    33. Matteo Barigozzi & Marc Hallin, 2015. "Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting," Working Papers ECARES ECARES 2015-22, ULB -- Universite Libre de Bruxelles.
    34. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    35. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    36. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    37. Tommaso Proietti & Alessandro Giovannelli, 2020. "Nowcasting Monthly GDP with Big Data: a Model Averaging Approach," CEIS Research Paper 482, Tor Vergata University, CEIS, revised 12 May 2020.
    38. Yaya Su & Zhehao Huang & Benjamin M. Drakeford, 2019. "Monetary Policy, Industry Heterogeneity and Systemic Risk—Based on a High Dimensional Network Analysis," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    39. Philipp Gersing & Matteo Barigozzi & Christoph Rust & Manfred Deistler, 2023. "The Canonical Decomposition of Factor Models: Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Feb 2025.
    40. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    41. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    42. Barigozzi, Matteo & Hallin, Marc, 2017. "A network analysis of the volatility of high-dimensionalfinancial series," LSE Research Online Documents on Economics 67456, London School of Economics and Political Science, LSE Library.
    43. Yang, Lu, 2022. "Idiosyncratic information spillover and connectedness network between the electricity and carbon markets in Europe," Journal of Commodity Markets, Elsevier, vol. 25(C).
    44. Marc Hallin, 2022. "Manfred Deistler and the General Dynamic Factor Model Approach to the Analysis of High-Dimensional Time Series," Working Papers ECARES 2022-30, ULB -- Universite Libre de Bruxelles.
    45. Assaf, A. George & Tsionas, Mike G., 2019. "Forecasting occupancy rate with Bayesian compression methods," Annals of Tourism Research, Elsevier, vol. 75(C), pages 439-449.
    46. Siegfried Hörmann & Gilles Nisol, 2021. "Prediction of Singular VARs and an Application to Generalized Dynamic Factor Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 295-313, May.
    47. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Papers 1510.05118, arXiv.org, revised Jul 2016.
    48. Smucler, Ezequiel, 2019. "Consistency of generalized dynamic principal components in dynamic factor models," Statistics & Probability Letters, Elsevier, vol. 154(C), pages 1-1.
    49. 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).
    50. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    51. Groß, Christian, 2019. "Analyzing credit risk transmission to the non-financial sector in Europe: a network approach," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203645, Verein für Socialpolitik / German Economic Association.
    52. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    53. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    54. Krupskii, Pavel & Joe, Harry, 2020. "Flexible copula models with dynamic dependence and application to financial data," Econometrics and Statistics, Elsevier, vol. 16(C), pages 148-167.
    55. Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
    56. Marc Hallin & Gilles Nisol & Shahin Tavakoli, 2023. "Factor models for high‐dimensional functional time series I: Representation results," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(5-6), pages 578-600, September.
    57. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhang, Wei, 2020. "Research on China's financial systemic risk contagion under jump and heavy-tailed risk," International Review of Financial Analysis, Elsevier, vol. 72(C).
    58. Kim, Donggyu & Fan, Jianqing, 2019. "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, vol. 208(2), pages 395-417.
    59. Philipp Gersing, 2024. "On the Existence of One-Sided Representations for the Generalised Dynamic Factor Model," Papers 2410.18159, arXiv.org, revised Mar 2025.
    60. Lübbers, Johannes & Posch, Peter N., 2016. "Commodities' common factor: An empirical assessment of the markets' drivers," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 28-40.

  12. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2011. "One-Sided Representations of Generalized Dynamic Factor Models," Working Papers ECARES ECARES 2011-019, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2012. "Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations," Working Papers ECARES ECARES 2012-046, ULB -- Universite Libre de Bruxelles.
    3. Hallin, Marc & Lippi, Marco, 2013. "Factor models in high-dimensional time series—A time-domain approach," Stochastic Processes and their Applications, Elsevier, vol. 123(7), pages 2678-2695.

  13. Mario Forni & Domenico Giannone & Marco Lippi & Lucrezia Reichlin, 2008. "Opening the Black Box: Structural Factor Models with Large Cross-Sections," Working Papers ECARES 2008_036, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Juan José Echavarría & Andrés gonzález & Enrique López & Norberto Rodríguez, 2012. "Choques internacionales reales y financieros y su impacto sobre la economía colombiana," Borradores de Economia 9884, Banco de la Republica.
    2. 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.
    3. Tibor Szendrei & Katalin Varga, 2017. "FISS - A Factor Based Index of Systemic Stress in the Financial System," MNB Working Papers 2017/9, Magyar Nemzeti Bank (Central Bank of Hungary).
    4. 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.
    5. Luca Sala & Luca Gambetti & Mario Forni, 2016. "VAR Information and the Empirical Validation of DSGE Models," 2016 Meeting Papers 260, Society for Economic Dynamics.
    6. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    7. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation of Non-Stationary Large Approximate Dynamic Factor Models," Papers 1910.09841, arXiv.org.
    8. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    9. Mario Forni & Luca Sala & Luca Gambetti, 2015. "No News in Business Cycles," Working Papers 535, Barcelona School of Economics.
    10. 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.
    11. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," PSE-Ecole d'économie de Paris (Postprint) hal-00638009, HAL.
    12. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2008. "A robust criterion for determining the number of static factors in approximate factor models," Working Paper Series 903, European Central Bank.
    13. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    14. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    15. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2014. "Structural FECM: Cointegration in large-scale structural FAVAR models," CEPR Discussion Papers 9858, C.E.P.R. Discussion Papers.
    16. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
    17. Nektarios A. Michail & Christos S. Savva & Demetris Koursaros, 2017. "Size Effects of Fiscal Policy and Business Confidence in the Euro Area," IJFS, MDPI, vol. 5(4), pages 1-15, November.
    18. Kappler, Marcus & Schleer, Frauke, 2017. "A financially stressed euro area," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-37.
    19. Martin Fukac & Adrian Pagan, 2006. "Issues In Adopting Dsge Models For Use In The Policy Process," CAMA Working Papers 2006-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. 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.
    21. 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.
    22. In Choi & Hanbat Jeong, 2019. "Model selection for factor analysis: Some new criteria and performance comparisons," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 577-596, July.
    23. 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).
    24. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    25. Dees, S. & di Mauro, F. & Pesaran, M.H. & Smith, L.V., 2005. "Exploring the International Linkages of the Euro Area: a Global VAR Analysis," Cambridge Working Papers in Economics 0518, Faculty of Economics, University of Cambridge.
    26. Adalgiso Amendola & Mario di Serio & Matteo Fragetta & Mr. Giovanni Melina, 2019. "The Euro-Area Government Spending Multiplier at the Effective Lower Bound," IMF Working Papers 2019/133, International Monetary Fund.
    27. Matteo Barigozzi & Marc Hallin, 2014. "Generalized Dynamic Factor Models and Volatilities. Recovering the Market Volatility Shocks," Working Papers ECARES ECARES 2014-52, ULB -- Universite Libre de Bruxelles.
    28. Domenico Giannone & Michèle Lenza & Lucrezia Reichlin, 2008. "Explaining the great moderation: it is not the shocks," ULB Institutional Repository 2013/6413, ULB -- Universite Libre de Bruxelles.
    29. 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).
    30. Elena Deryugina & Alexey Ponomarenko & Andrey Sinyakov & Constantine Sorokin, 2018. "Evaluating underlying inflation measures for Russia," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 11(2), pages 124-145, May.
    31. Cristina Conflitti and Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    32. Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2006. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," CEPR Discussion Papers 5724, C.E.P.R. Discussion Papers.
    33. Matteo Luciani & Antoniomaria Conti & Matteo Barigozzi, 2013. "Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy?," ULB Institutional Repository 2013/153330, ULB -- Universite Libre de Bruxelles.
    34. 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.
    35. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
    36. Duo Qin, 2006. "Uncover Latent PPP by Dynamic Factor Error Correction Model (DF-ECM) Approach: Evidence from Five OECD Countries," Working Papers 575, Queen Mary University of London, School of Economics and Finance.
    37. 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.
    38. 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.
    39. 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.
    40. Masud Alam, 2024. "Output, employment, and price effects of U.S. narrative tax changes: a factor-augmented vector autoregression approach," Empirical Economics, Springer, vol. 67(4), pages 1421-1471, October.
    41. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2012. "Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations," Working Papers ECARES ECARES 2012-046, ULB -- Universite Libre de Bruxelles.
    42. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    43. 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.
    44. 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".
    45. 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.
    46. Filippo Pellegrino, 2021. "Factor-augmented tree ensembles," Papers 2111.14000, arXiv.org, revised Jun 2023.
    47. Aramonte, Sirio & Giudice Rodriguez, Marius del & Wu, Jason, 2013. "Dynamic factor Value-at-Risk for large heteroskedastic portfolios," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4299-4309.
    48. Gianluca Cubadda, 2024. "VAR models with an index structure: A survey with new results," Papers 2412.11278, arXiv.org.
    49. Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," CAGE Online Working Paper Series 258, Competitive Advantage in the Global Economy (CAGE).
    50. 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.
    51. Mario Forni & Luca Gambetti, 2015. "Testing for Sufficient Information in Structural VARs," Working Papers 536, Barcelona School of Economics.
    52. 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.
    53. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2008. "Short-Term Forecasting of GDP Using Large Monthly Datasets: A Pseudo Real-Time Forecast Evaluation Exercise," Bank of Lithuania Working Paper Series 1, Bank of Lithuania.
    54. Kakeu, Johnson & Bouaddi, Mohammed, 2017. "Empirical evidence of news about future prospects in the risk-pricing of oil assets," Energy Economics, Elsevier, vol. 64(C), pages 458-468.
    55. Paul Beaudry & Patrick Feve & Alain Guay & Franck Portier, 2019. "When is Nonfundamentalness in SVARs a Real Problem?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 221-243, October.
    56. Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
    57. Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," Papers 2305.06618, arXiv.org.
    58. ONATSKI, Alexei & RUGE-MURCIA, Francisco J., 2010. "Factor Analysis of a Large DSGE Model," Cahiers de recherche 2010-08, Universite de Montreal, Departement de sciences economiques.
    59. Gábor Pellényi, 2012. "The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis," MNB Working Papers 2012/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    60. 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.
    61. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    62. 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.
    63. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    64. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00344839, HAL.
    65. 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.
    66. Bańbura, Marta & Bobeica, Elena & Martínez Hernández, Catalina, 2023. "What drives core inflation? The role of supply shocks," Working Paper Series 2875, European Central Bank.
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    70. 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.
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    108. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    109. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    110. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2020. "Estimation of large dimensional conditional factor models in finance," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 219-282, Elsevier.
    111. Andrey Zubarev & Daniil Lomonosov & Konstantin Rybak, 2022. "Estimation of the Impact of Global Shocks on the Russian Economy and GDP Nowcasting Using a Factor Model," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 49-78, June.
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    113. Nikolaou, Kleopatra & Modugno, Michele, 2009. "The forecasting power of internal yield curve linkages," Working Paper Series 1044, European Central Bank.
    114. Tchablemane Yenlide, 2020. "Possibilité d’une union monétaire dans la zone CEDEAO : Test de coordination des politiques budgétaires et monétaires," Working Papers hal-02560792, HAL.
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    117. den Reijer, Ard H.J., 2011. "Regional and sectoral dynamics of the Dutch staffing labor cycle," Economic Modelling, Elsevier, vol. 28(4), pages 1826-1837, July.
    118. George Kapetanios & Massimiliano Marcellino, 2009. "A parametric estimation method for dynamic factor models of large dimensions," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(2), pages 208-238, March.
    119. Branimir Jovanovic & Magdalena Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," Working Papers 2010-02, National Bank of the Republic of North Macedonia, revised Aug 2010.
    120. Monfort, Alain & Vitale, Giovanni & Rüffer, Rasmus & Renne, Jean-Paul, 2003. "Is Economic Activity in the G7 Synchronized? Common Shocks versus Spillover Effects," CEPR Discussion Papers 4119, C.E.P.R. Discussion Papers.
    121. 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.
    122. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    123. Rachida Ouysse, 2017. "Constrained principal components estimation of large approximate factor models," Discussion Papers 2017-12, School of Economics, The University of New South Wales.
    124. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    125. Romain Houssa, 2004. "Monetary Union in West Africa and Asymmetric Shocks: A Dynamic Structural Factor Model Approach," Development and Comp Systems 0409063, University Library of Munich, Germany.
    126. Kelly, Bryan & Pruitt, Seth, 2015. "The three-pass regression filter: A new approach to forecasting using many predictors," Journal of Econometrics, Elsevier, vol. 186(2), pages 294-316.
    127. 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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    129. Etienne C^ome & Marie Cottrell & Patrice Gaubert, 2015. "Analysis of Professional Trajectories using Disconnected Self-Organizing Maps," Papers 1507.00578, arXiv.org.
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    131. 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.
    132. Gammadigbé, Vigninou, 2012. "Les cycles économiques des pays de l'UEMOA: synchrones ou déconnectés? [Business cycles in the WAEMU countries: synchronous or disconnected?]," MPRA Paper 39400, University Library of Munich, Germany, revised Jun 2012.
    133. Huang, Huichou & MacDonald, Ronald & Zhao, Yang, 2012. "Global Currency Misalignments, Crash Sensitivity, and Downside Insurance Costs," MPRA Paper 53745, University Library of Munich, Germany, revised 18 Nov 2013.
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  16. Marco Lippi & Daniel L. Thornton, 2004. "A dynamic factor analysis of the response of U. S. interest rates to news," Working Papers 2004-013, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Paramita Mukherjee & Malabika Roy, 2016. "What Drives the Stock Market Return in India? An Exploration with Dynamic Factor Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 15(1), pages 119-145, April.
    2. Nilufer Ozdemir, 2012. "Emerging Market Countries’ Access to International Financial Markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(2), pages 215-226, May.
    3. Moneta, Fabio & Rüffer, Rasmus, 2006. "Business cycle synchronisation in East Asia," Working Paper Series 671, European Central Bank.
    4. 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.

  17. 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.

    Cited by:

    1. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    2. Nektarios Aslanidis & Andrea Cipollini, 2007. "Leading indicator properties of the US corporate spreads," Money Macro and Finance (MMF) Research Group Conference 2006 115, Money Macro and Finance Research Group.
    3. Martin Fukac & Adrian Pagan, 2006. "Issues In Adopting Dsge Models For Use In The Policy Process," CAMA Working Papers 2006-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Dees, S. & di Mauro, F. & Pesaran, M.H. & Smith, L.V., 2005. "Exploring the International Linkages of the Euro Area: a Global VAR Analysis," Cambridge Working Papers in Economics 0518, Faculty of Economics, University of Cambridge.
    5. G. Peersman, 2005. "The relative importance of symmetric and asymmetric shocks and the determination of the exchange rate," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/286, Ghent University, Faculty of Economics and Business Administration.
    6. Duo Qin, 2006. "Uncover Latent PPP by Dynamic Factor Error Correction Model (DF-ECM) Approach: Evidence from Five OECD Countries," Working Papers 575, Queen Mary University of London, School of Economics and Finance.
    7. 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".
    8. Marco Lippi & Daniel L. Thornton, 2004. "A Dynamic Factor Analysis of the Response of U.S. Interest Rates to News," LEM Papers Series 2004/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    10. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    11. François Lescaroux & Valérie Mignon, 2009. "Measuring The Effects Of Oil Prices On China'S Economy: A Factor‐Augmented Vector Autoregressive Approach," Pacific Economic Review, Wiley Blackwell, vol. 14(3), pages 410-425, August.
    12. Vansteenkiste, Isabel, 2009. "How important are common factors in driving non-fuel commodity prices? A dynamic factor analysis," Working Paper Series 1072, European Central Bank.
    13. 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.
    14. Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.
    15. Belviso Francesco & Milani Fabio, 2006. "Structural Factor-Augmented VARs (SFAVARs) and the Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-46, December.
    16. Alejandro Steven Fonseca-Zendejas & Carmen Borrego-Salcido & María del Carmen Delgado López, 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.
    17. Akbari Dehbaghi, Simin & Arman, Seyed Aziz & Ahangari, Majid, 2020. "The Impact of Domestic and Foreign Monetary Policy on Iran\'s economy: Global Modeling," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(2), pages 151-180, April.
    18. 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.
    19. G. Kapetanios & A. Pagan & A. Scott, 2005. "Making a match: Combining theory and evidence in policy-oriented macroeconomic modelling," CAMA Working Papers 2005-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Boivin, J. & Giannoni, M., 2007. "DSGE Models in a Data-Rich Environment," Working papers 162, Banque de France.
    21. Duo Qin & Marie Anne Cagas & Geoffrey Ducanes & Nedelyn Magtibay-Ramos & Pilipinas F. Quising, 2006. "Measuring Regional Market Integration by Dynamic Factor Error Correction Model (DF-ECM) Approach - The Case of Developing Asia," Working Papers 565, Queen Mary University of London, School of Economics and Finance.
    22. 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.
    23. Andrea Cipollini & George Kapetanios, 2008. "Forecasting Financial Crises and Contagion in Asia using Dynamic Factor Analysis," Center for Economic Research (RECent) 014, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    24. Gregor B urle, 2008. "Priors from DSGE Models for Dynamic Factor Analysis," Diskussionsschriften dp0803, Universitaet Bern, Departement Volkswirtschaft.
    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. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2008. "Large Bayesian VARs," Working Paper Series 966, European Central Bank.
    27. Andrea Cipollini & Giuseppe Missaglia, 2008. "Measuring bank capital requirements through Dynamic Factor analysis," Center for Economic Research (RECent) 010, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    28. 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.
    29. Francesca Marino, 2013. "Regional fluctuations and national cohesion in the EU12: a pre-Maastricht assessment," SERIES 0048, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Aug 2013.
    30. Cipollini, Andrea & Missaglia, Giuseppe, 2007. "Dynamic Factor analysis of industry sector default rates and implication for Portfolio Credit Risk Modelling," MPRA Paper 3582, University Library of Munich, Germany.
    31. 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.
    32. Agnello, Luca & Schuknecht, Ludger, 2009. "Booms and busts in housing markets: determinants and implications," Working Paper Series 1071, European Central Bank.
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    6. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    7. Rincón Briceño, Juan José, 2025. "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE 21388, Universidad de los Andes, Facultad de Economía, CEDE.
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    472. Philipp Gersing, 2024. "On the Existence of One-Sided Representations for the Generalised Dynamic Factor Model," Papers 2410.18159, arXiv.org, revised Mar 2025.
    473. Barbara Guardabascio & Federico Brogi & Federico Benassi, 2024. "Measuring human mobility in times of trouble: an investigation of the mobility of European populations during COVID-19 using big data," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5181-5199, December.
    474. Daniel Grenouilleau, 2004. "A sorted leading indicators dynamic (SLID) factor model for short-run euro-area GDP forecasting," European Economy - Economic Papers 2008 - 2015 219, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    475. Xisong Jin & Francisco Nadal De Simone, 2016. "Tracking Changes in the Intensity of Financial Sector's Systemic Risk," BCL working papers 102, Central Bank of Luxembourg.
    476. Guenter Beck & Massimiliano Marcellino, 2006. "Regional Inflation Dynamics within and across Euro Area and a Comparison with the US," Computing in Economics and Finance 2006 338, Society for Computational Economics.
    477. Giuseppe Parigi & Roberto Golinelli, 2007. "The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 77-94.
    478. Alessandro Barbarino & Efstathia Bura, 2015. "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series 2015-74, Board of Governors of the Federal Reserve System (U.S.).
    479. Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
    480. Javier Sebastian, 2016. "Blockchain in financial services: Regulatory landscape and future challenges," Working Papers 16/21, BBVA Bank, Economic Research Department.
    481. Wenlei Bai & Duehee Lee & Kwang Y. Lee, 2017. "Stochastic Dynamic AC Optimal Power Flow Based on a Multivariate Short-Term Wind Power Scenario Forecasting Model," Energies, MDPI, vol. 10(12), pages 1-19, December.
    482. Francisco Craveiro Dias & Maximiano Pinheiro & António Rua, 2016. "A bottom-up approach for forecasting GDP in a data rich environment," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    483. Ali Babikir & Henry Mwambi, 2016. "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, vol. 51(4), pages 1541-1556, December.
    484. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.
    485. Xisong Jin, 2018. "How much does book value data tell us about systemic risk and its interactions with the macroeconomy? A Luxembourg empirical evaluation," BCL working papers 118, Central Bank of Luxembourg.
    486. 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.
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  20. Filippo Altissimo & Antonio Bassanetti & Riccardo Cristadoro & Mario Forni & Marco Lippi & Lucrezia Reichlin & Giovanni Veronese, 2001. "A real time coincident indicator of the euro area business cycle," Temi di discussione (Economic working papers) 436, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Fischer, Andreas & Amstad, Marlene, 2005. "Time-Varying Pass-Through from Import Prices to Consumer Prices: Evidence from an Event Study with Real-Time Data," CEPR Discussion Papers 5395, C.E.P.R. Discussion Papers.
    2. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank).
    3. Libero Monteforte, 2004. "Aggregation bias in macro models: does it matter foir the euro area?," Temi di discussione (Economic working papers) 534, Bank of Italy, Economic Research and International Relations Area.
    4. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    5. 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.
    6. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    7. Maria A. Arias & Charles S. Gascon & David E. Rapach, 2014. "Metro Business Cycles," Working Papers 2014-46, Federal Reserve Bank of St. Louis.
    8. Marie Bessec, 2012. "Short-term forecasts of French GDP: a dynamic factor model with targeted predictors," Working papers 409, Banque de France.
    9. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
    10. In Choi & Hanbat Jeong, 2019. "Model selection for factor analysis: Some new criteria and performance comparisons," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 577-596, July.
    11. Breitung, Jörg & Eickmeier, Sandra, 2005. "Dynamic factor models," Discussion Paper Series 1: Economic Studies 2005,38, Deutsche Bundesbank.
    12. 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.
    13. Andrea Carriero & Massimiliano Marcellino, 2011. "Sectoral Survey‐based Confidence Indicators for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 175-206, April.
    14. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    15. Herman Kamil & Jose David Pulido & Jose Luis Torres, 2010. "El "IMACO": un índice mensual líder de la actividad económica en Colombia," Borradores de Economia 609, Banco de la Republica de Colombia.
    16. 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.
    17. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta & Modugno, Michele, 2013. "Now-casting and the real-time data flow," Working Paper Series 1564, European Central Bank.
    18. 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.
    19. Domenico Giannone & Michèle Lenza & Lucrezia Reichlin, 2008. "Business Cycles in the euro Area," Working Papers ECARES 2008_040, ULB -- Universite Libre de Bruxelles.
    20. António Rua & Luís Catela Nunes, 2003. "Coincident and Leading Indicators for the Euro Area: A Frequency Band Approach," Working Papers w200307, Banco de Portugal, Economics and Research Department.
    21. 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.
    22. 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.
    23. Donatella Baiardi & Carluccio Bianchi, 2012. "Un Indicatore per la Lombardia e per le Province di Milano e Pavia (Nuova versione)," Quaderni di Dipartimento 158, University of Pavia, Department of Economics and Quantitative Methods.
    24. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2008. "Short-Term Forecasting of GDP Using Large Monthly Datasets: A Pseudo Real-Time Forecast Evaluation Exercise," Bank of Lithuania Working Paper Series 1, Bank of Lithuania.
    25. Michael Graff & Klaus Abberger & Boriss Siliverstovs & Jan-Egbert Sturm, 2014. "Das neue KOF Konjunkturbarometer – Version 2014," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 8(1), pages 91-106, March.
    26. Riccardo Cristadoro & Mario Forni & Lucrezia Reichlin & Giovanni Veronese, 2001. "A core inflation index for the euro area," Temi di discussione (Economic working papers) 435, Bank of Italy, Economic Research and International Relations Area.
    27. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    28. Amstad, Marlene & Fischer, Andreas M., 2010. "Monthly pass-through ratios," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1202-1213, July.
    29. 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.
    30. António Rua & João Valle e Azevedo & Siem Jan Koopman, 2003. "Tracking Growth and the Business Cycle: a Stochastic Common Cycle Model for the Euro Area," Working Papers w200316, Banco de Portugal, Economics and Research Department.
    31. Philippe Moës, 2012. "Multivariate models with dual cycles: implications for output gap and potential growth measurement," Empirical Economics, Springer, vol. 42(3), pages 791-818, June.
    32. Philippe Moës, 2008. "Multivariate structural time series models with dual cycles : implications for measurement of output gap and potential growth," Working Paper Research 136, National Bank of Belgium.
    33. Klaus Abberger & Michael Graff & Boriss Siliverstovs & Jan-Egbert Sturm, 2014. "The KOF Economic Barometer, Version 2014," KOF Working papers 14-353, KOF Swiss Economic Institute, ETH Zurich.
    34. Christian Gayer & Julien Genet, 2006. "Using factor models to construct composite indicators from BCS data - a comparison with European Commission confidence indicators," European Economy - Economic Papers 2008 - 2015 240, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    35. Chiara Scotti & S.Boragan Aruoba & Francis X. Diebold & University of Maryland, 2006. "Real-Time Measurement of Business Conditions," Computing in Economics and Finance 2006 387, Society for Computational Economics.
    36. Oliver Hülsewig & Johannes Mayr & Stéphane Sorbe, 2007. "Assessing the Forecast Properties of the CESifo World Economic Climate Indicator: Evidence for the Euro Area," ifo Working Paper Series 46, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    37. Marlene Amstad & Andreas M. Fischer, 2009. "Are Weekly Inflation Forecasts Informative?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 237-252, April.
    38. Filippo Ferroni & Benjamin Klaus, 2015. "Euro Area business cycles in turbulent times: convergence or decoupling?," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3791-3815, July.
    39. Valentina Aprigliano, 2011. "The relationship between the PMI and the Italian index of industrial production and the impact of the latest economic crisis," Temi di discussione (Economic working papers) 820, Bank of Italy, Economic Research and International Relations Area.
    40. 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).
    41. Rueben Ellul, 2016. "A real-time measure of business conditions in Malta," CBM Working Papers WP/04/2016, Central Bank of Malta.
    42. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2002. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," CEPR Discussion Papers 3432, C.E.P.R. Discussion Papers.
    43. Stephen G. Hall & Nicholas G. Zonzilos, 2003. "An Indicator Measuring Underlying Economic Activity in Greece," Working Papers 04, Bank of Greece.
    44. Ginters Buss, 2012. "A New Real-Time Indicator for the Euro Area GDP," Working Papers 2012/02, Latvijas Banka.
    45. Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
    46. Inklaar, Robert & Jacobs, Jan & Romp, Ward, 2003. "Business cycle indexes: does a heap of data help?," CCSO Working Papers 200312, University of Groningen, CCSO Centre for Economic Research.
    47. Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers 12-12, Department of Economics, University of Birmingham.
    48. Marc Hallin & Roman Liska, 2008. "Dynamic Factors in the Presence of Block Structure," Working Papers ECARES 2008_012, ULB -- Universite Libre de Bruxelles.
    49. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    50. Carlo Ambrogio Favero & Massimilano Marcellino & Francesca Neglia, "undated". "Principal components at work: The empirical analysis of monetary policy with large datasets," Working Papers 223, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    51. Andrea Carriero & Massimiliano Marcellino, 2007. "A Comparison of Methods for the Construction of Composite Coincident and Leading Indexes for the UK," Working Papers 590, Queen Mary University of London, School of Economics and Finance.
    52. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    53. 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.
    54. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2010. "Nowcasting," Working Paper Series 1275, European Central Bank.
    55. 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".
    56. Lorenza Rossi & Emilio Zanetti Chini, 2018. "Firms Dynamics and Business Cycle: New Disaggregated Data," DEM Working Papers Series 151, University of Pavia, Department of Economics and Management.
    57. Valentina Aprigliano & Lorenzo Bencivelli, 2013. "Ita-coin: a new coincident indicator for the Italian economy," Temi di discussione (Economic working papers) 935, Bank of Italy, Economic Research and International Relations Area.
    58. Fischer, Andreas & Amstad, Marlene, 2005. "Shock Identification of Macroeconomic Forecasts Based on Daily Panels," CEPR Discussion Papers 5008, C.E.P.R. Discussion Papers.
    59. Filippo Altissimo & Alberto Locarno & Stefano Siviero, 2002. "Dealing with forward-looking expectations and policy rules in quantifying the channels of transmission of monetary policy," Temi di discussione (Economic working papers) 460, Bank of Italy, Economic Research and International Relations Area.
    60. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
    61. Xu Han & Mehmet Caner, 2017. "Determining the number of factors with potentially strong within-block correlations in error terms," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 946-969, October.
    62. Ila Patnaik & Shalini Mittal & Radhika Pandey, 2019. "Examining the Trade-Off Between Price and Financial Stability in India," Working Papers id:12979, eSocialSciences.
    63. 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.
    64. Beate Schirwitz, 2009. "A comprehensive German business cycle chronology," Empirical Economics, Springer, vol. 37(2), pages 287-301, October.
    65. 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).
    66. 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.
    67. Karim Barhoumi & Olivier Darn & Laurent Ferrara, 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    68. 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.
    69. Agnieszka Gehringer & Thomas Mayer, 2021. "Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 71-89, April.
    70. Beate Schirwitz, 2013. "Business Fluctuations, Job Flows and Trade Unions - Dynamics in the Economy," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 47, September.
    71. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2017. "The New York Fed Staff Underlying Inflation Gauge (UIG)," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 1-32.
    72. In Choi & Dukpa Kim & Yun Jung Kim & Noh‐Sun Kwark, 2018. "A multilevel factor model: Identification, asymptotic theory and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 355-377, April.
    73. Dominique Ladiray, 2002. "Conjoncture, statistique et économétrie," Économie et Statistique, Programme National Persée, vol. 359(1), pages 3-12.
    74. Andrea Carriero & Massimiliano Marcellino, 2007. "Monitoring the Economy of the Euro Area: A Comparison of Composite Coincident Indexes," Working Papers 319, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    75. 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.
    76. 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.
    77. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regionale Konjunkturzyklen in Deutschland – Teil II: Die Zyklendatierung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(14), pages 24-31, July.
    78. Marlene Amstad & Ye Huan & Guonan Ma, 2014. "Developing an underlying inflation gauge for China," BIS Working Papers 465, Bank for International Settlements.
    79. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    80. Adam Jêdrzejczyk, 2012. "Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach," Working Papers 63, Department of Applied Econometrics, Warsaw School of Economics.
    81. Abberger, Klaus & Graff, Michael & Siliverstovs, Boriss & Sturm, Jan-Egbert, 2018. "Using rule-based updating procedures to improve the performance of composite indicators," Economic Modelling, Elsevier, vol. 68(C), pages 127-144.
    82. Daniel Grenouilleau, 2006. "The Stacked Leading Indicators Dynamic Factor Model: A Sensitivity Analysis of Forecast Accuracy using Bootstrapping," European Economy - Economic Papers 2008 - 2015 249, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    83. Michael J. Dueker & Martin Sola, 2008. "Multivariate Markov switching with weighted regime determination: giving France more weight than Finland," Working Papers 2008-001, Federal Reserve Bank of St. Louis.
    84. S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2007. "Real-Time Measurement of Business Conditions, Second Version," PIER Working Paper Archive 08-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 04 Apr 2008.
    85. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    86. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235, Bank for International Settlements.
    87. Mojon, Benoît & Agresti, Anna Maria, 2001. "Some stylised facts on the euro area business cycle," Working Paper Series 95, European Central Bank.
    88. Wallis, Kenneth F., 2008. "Macroeconomic modelling in central banks in Latin America," Documentos de Proyectos 3627, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    89. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    90. Marcellino, Massimiliano & Proietti, Tommaso & Frale, Cecilia & Mazzi, Gian Luigi, 2008. "A Monthly Indicator of the Euro Area GDP," CEPR Discussion Papers 7007, C.E.P.R. Discussion Papers.
    91. Marie Diron, 2008. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 371-390.
    92. Donatella Baiardi & Carluccio Bianchi, 2010. "Un Indicatore di Attività Economica per la Lombardia e per le Province di Milano e Pavia," Quaderni di Dipartimento 130, University of Pavia, Department of Economics and Quantitative Methods.
    93. 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.
    94. Diron, Marie, 2006. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Working Paper Series 622, European Central Bank.
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  21. Giulio Bottazzi & Giovanni Dosi & Marco Lippi & Fabio Pammolli & Massimo Riccaboni, 2001. "Innovation and Corporate Growth in the Evolution of the Drug Industry," LEM Papers Series 2001/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Christina E. Bannier & Sabrina Zahn, 2014. "SMEs' Growth Heterogeneity - Evidence from Regional Developments," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 5(2), pages 23-49, March.
    2. Alex Coad, 2008. "Firms as Bundles of Discrete Resources - Towards an Explanation of the Exponential Distribution of Firm Growth Rates," Post-Print halshs-00331282, HAL.
    3. Giovanni Dosi & Elisa Palagi & Andrea Roventini & Emanuele Russo, 2021. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," SciencePo Working papers Main hal-04114900, HAL.
    4. Gilles Grolleau & Naoufel Mzoughi & Sanja Pekovic, 2013. "Is there a relationship between workplace atmosphere and innovation activities? An empirical analysis among french firms," Post-Print hal-01506196, HAL.
    5. M. Modica & A. Reggiani & P. Nijkamp, 2015. "A Comparative Analysis of Gibrat s and Zipf s Law on Urban Population," Working Papers wp1008, Dipartimento Scienze Economiche, Universita' di Bologna.
    6. Malerba, Franco, 2007. "Innovation and the dynamics and evolution of industries: Progress and challenges," International Journal of Industrial Organization, Elsevier, vol. 25(4), pages 675-699, August.
    7. Herbert Dawid & Marc Reimann, 2005. "Evaluating Market Attractiveness: Individual Incentives Versus Industry Profitability," Computational Economics, Springer;Society for Computational Economics, vol. 24(4), pages 321-355, June.
    8. Alexander Coad, 2007. "Firm Growth: A Survey," Papers on Economics and Evolution 2007-03, Philipps University Marburg, Department of Geography.
    9. Thomas Brenner & Matthias Duschl, 2014. "Modelling Firm and Market Dynamics - A Flexible Model Reproducing Existing Stylized Facts," Working Papers on Innovation and Space 2014-07, Philipps University Marburg, Department of Geography.
    10. Oh, Ilfan, 2019. "Autonomy of profit rate distribution and its dynamics from firm size measures: A statistical equilibrium approach," BERG Working Paper Series 146, Bamberg University, Bamberg Economic Research Group.
    11. E. Cefis & M. Ciccarelli & L. Orsenigo, 2005. "Testing Gibrat's Legacy: A Bayesian Approach to Study the Growth of Firms," Working Papers 05-02, Utrecht School of Economics.
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    1. Massimiliano Serati & Matteo Manera & Michele Plotegher, 2008. "Modelling electricity prices: from the state of the art to a draft of a new proposal," LIUC Papers in Economics 210, Cattaneo University (LIUC).
    2. Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2004. "Similarities and Convergence in G7 Cycles," CEPR Discussion Papers 4534, C.E.P.R. Discussion Papers.
    3. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2002. "Do Financial Variables Help Forecasting Inflation and Real Activity in the Euro Area?," CEPR Discussion Papers 3146, C.E.P.R. Discussion Papers.
    4. Thierry Aimar & Francis Bismans & Claude Diebolt, 2010. "Le cycle économique : une synthèse," Working Papers 10-04, Association Française de Cliométrie (AFC).
    5. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    6. Lui, Silvia & Mitchell, James & Weale, Martin, 2011. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1128-1146, October.
    7. Schumacher Christian & Dreger Christian, 2004. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? / Die Schätzung von großen Faktormodellen für die deutsche Volkswirtschaft: Übertreffen sie ei," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 731-750, December.
    8. Michael Graff, 2005. "Internationale Konjunkturverbunde," KOF Working papers 05-108, KOF Swiss Economic Institute, ETH Zurich.
    9. Desirée Castrillo R. & Carlos Mora G. & Carlos Torres G., 2010. "Mecanismos de transmisión de la política monetaria en Costa Rica: periodo 1991-2007," Monetaria, CEMLA, vol. 0(4), pages 549-599, octubre-d.
    10. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2004. "The generalised dynamic factor model: consistency and rates," ULB Institutional Repository 2013/10133, ULB -- Universite Libre de Bruxelles.
    11. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
    12. Don Harding & Adrian Pagan, 2005. "A suggested framework for classifying the modes of cycle research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 151-159.
    13. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
    14. 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.
    15. Moramarco, Graziano, 2024. "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," International Journal of Forecasting, Elsevier, vol. 40(2), pages 777-795.
    16. Ericsson, Neil R., 2017. "Economic forecasting in theory and practice: An interview with David F. Hendry," International Journal of Forecasting, Elsevier, vol. 33(2), pages 523-542.
    17. Andrea Carriero & Massimiliano Marcellino, 2011. "Sectoral Survey‐based Confidence Indicators for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 175-206, April.
    18. Don Harding & Adrian Pagan, 2006. "Measurement of Business Cycles," Department of Economics - Working Papers Series 966, The University of Melbourne.
    19. Herman Kamil & Jose David Pulido & Jose Luis Torres, 2010. "El "IMACO": un índice mensual líder de la actividad económica en Colombia," Borradores de Economia 609, Banco de la Republica de Colombia.
    20. Troy Matheson, 2005. "Factor model forecasts for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2005/01, Reserve Bank of New Zealand.
    21. Mario Forno & Marco Lippi & Lucrezia Reichlin & Filippo Altissimo & Antonio Bassanetti, 2003. "Eurocoin: A Real Time Coincident Indicator Of The Euro Area Business Cycle," Computing in Economics and Finance 2003 242, Society for Computational Economics.
    22. Graff Michael, 2006. "Internationale Konjunkturverbunde / International Business Cycles," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(4), pages 385-417, August.
    23. Oleg Demidov, 2008. "Different indexes for forecasting economic activity in Russia (in Russian)," Quantile, Quantile, issue 5, pages 83-102, September.
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    25. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Interconnections between Eurozone and US Booms and Busts using a Bayesian Panel Markov-Switching VAR Mode," Tinbergen Institute Discussion Papers 15-111/III, Tinbergen Institute.
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    28. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
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    66. 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".
    67. Christian Gillitzer & Jonathan Kearns & Anthony Richards, 2005. "The Australian Business Cycle: A Coincident Indicator Approach," RBA Research Discussion Papers rdp2005-07, Reserve Bank of Australia.
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    71. Lasse BORK & Hans DEWACHTER & Romain HOUSSA, 2009. "Identification of macroeconomic factors in large panels," Working Papers of Department of Economics, Leuven ces09.18, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    72. David Mayes & Matti Virén, 2010. "The Impact of Asset Prices and their Information Value for Monetary Policy," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 28(61), pages 134-167, August.
    73. Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
    74. James Mitchell & Richard J. Smith & Martin R. Weale, 2011. "Efficient Aggregation of Panel Qualitative Survey Data," Discussion Papers in Economics 11/53, Division of Economics, School of Business, University of Leicester.
    75. 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.
    76. Dreger, Christian & Schumacher, Christian, 2002. "Estimating large-scale factor models for economic activity in Germany: Do they outperform simpler models?," HWWA Discussion Papers 199, Hamburg Institute of International Economics (HWWA).
    77. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
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    79. Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017. "The role of indicator selection in nowcasting euro-area GDP in pseudo-real time," Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
    80. M. Boermans & H.J. Roelfsema & Zhang Yi, 2009. "Regional determinants of FDI in China: A new approach with recent data," Working Papers 09-23, Utrecht School of Economics.
    81. Delphine Irac & Frédéric Sédillot, 2002. "Short-Run Assessment of French Economic Activity Using OPTIM," Working papers 88, Banque de France.
    82. Thierry Aimar & Francis Bismans & Claude Diebolt, 2012. "Economic Cycles: A Synthesis," Working Papers 12-11, Association Française de Cliométrie (AFC).
    83. den Reijer, Ard H.J., 2011. "Regional and sectoral dynamics of the Dutch staffing labor cycle," Economic Modelling, Elsevier, vol. 28(4), pages 1826-1837, July.
    84. Timilsina, Govinda R. & Hochman, Gal & Fedets, Iryna, 2016. "Understanding energy efficiency barriers in Ukraine: Insights from a survey of commercial and industrial firms," Energy, Elsevier, vol. 106(C), pages 203-211.
    85. Marco Antonio Laguna Vargas, 2010. "Características de la inflación importada en Bolivia: ¿puede contenerse con política cambiaria?," Monetaria, CEMLA, vol. 0(4), pages 463-493, octubre-d.
    86. Cecilia Frale & Stefano Grassi & Massimiliano Marcellino & Gianluigi Mazzi & Tommaso Proietti, 2013. "EuroMInd-C: a Disaggregate Monthly Indicator of Economic Activity for the Euro Area and member countries," CEIS Research Paper 287, Tor Vergata University, CEIS, revised 01 Oct 2013.
    87. 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.
    88. Edgar Vicente MARCILLO YÉPEZ, 2013. "Un indicador Líder para la actividad económica de Colombia," Archivos de Economía 11205, Departamento Nacional de Planeación.
    89. Andrea Carriero & Massimiliano Marcellino, 2007. "Monitoring the Economy of the Euro Area: A Comparison of Composite Coincident Indexes," Working Papers 319, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    90. Harding, Don & Pagan, Adrian, 2001. "Extracting, Using and Analysing Cyclical Information," MPRA Paper 15, University Library of Munich, Germany.
    91. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    92. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    93. Nikolaos Zirogiannis & Yorghos Tripodis, 2013. "A Generalized Dynamic Factor Model for Panel Data: Estimation with a Two-Cycle Conditional Expectation-Maximization Algorithm," Working Papers 2013-1, University of Massachusetts Amherst, Department of Resource Economics.
    94. Anna Pestova, 2015. "Leading Indicators of the Business Cycle: Dynamic Logit Models for OECD Countries and Russia," HSE Working papers WP BRP 94/EC/2015, National Research University Higher School of Economics.
    95. Romain Houssa, 2004. "Monetary Union in West Africa and Asymmetric Shocks: A Dynamic Structural Factor Model Approach," Development and Comp Systems 0409063, University Library of Munich, Germany.
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    97. Michael Graff, 2005. "Ein multisektoraler Sammelindikator fuer die Schweizer Konjunktur," KOF Working papers 05-107, KOF Swiss Economic Institute, ETH Zurich.
    98. Herman Kamil & José David Pulido & José Luis Torres, 2010. "El "IMACO": un índice mensual de la actividad económica en Colombia," Monetaria, CEMLA, vol. 0(4), pages 495-548, octubre-d.
    99. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "Extracting a Robust U.S. Business Cycle Using a Time-Varying Multivariate Model-Based Bandpass Filter," Working Papers UWEC-2008-15-FC, University of Washington, Department of Economics.
    100. Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).
    101. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    102. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.
    103. Donatella Baiardi & Carluccio Bianchi, 2010. "Un Indicatore di Attività Economica per la Lombardia e per le Province di Milano e Pavia," Quaderni di Dipartimento 130, University of Pavia, Department of Economics and Quantitative Methods.
    104. 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.
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    107. Zirogiannis, Nikolaos & Tripodis, Yorghos, 2013. "A Generalized Dynamic Factor Model for Panel Data: Estimation with a Two-Cycle Conditional Expectation-Maximization Algorithm," Working Paper Series 142752, University of Massachusetts, Amherst, Department of Resource Economics.
    108. Nan Li & Simon S. Kwok, 2021. "Jointly determining the state dimension and lag order for Markov‐switching vector autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 471-491, July.
    109. George Kapetanios & Fotis Papailias, 2021. "UK Economic Conditions during the Pandemic: Assessing the Economy using ONS Faster Indicators," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-10, Economic Statistics Centre of Excellence (ESCoE).
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  23. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni & Bassanetti, Antonio, 2001. "EuroCOIN: A Real Time Coincident Indicator of the Euro Area Business Cycle," CEPR Discussion Papers 3108, C.E.P.R. Discussion Papers.

    Cited by:

    1. Massimiliano Serati & Matteo Manera & Michele Plotegher, 2008. "Modelling electricity prices: from the state of the art to a draft of a new proposal," LIUC Papers in Economics 210, Cattaneo University (LIUC).
    2. Fischer, Andreas & Amstad, Marlene, 2005. "Time-Varying Pass-Through from Import Prices to Consumer Prices: Evidence from an Event Study with Real-Time Data," CEPR Discussion Papers 5395, C.E.P.R. Discussion Papers.
    3. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank).
    4. Libero Monteforte, 2004. "Aggregation bias in macro models: does it matter foir the euro area?," Temi di discussione (Economic working papers) 534, Bank of Italy, Economic Research and International Relations Area.
    5. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    6. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    7. 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.
    8. Schumacher Christian & Dreger Christian, 2004. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? / Die Schätzung von großen Faktormodellen für die deutsche Volkswirtschaft: Übertreffen sie ei," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 731-750, December.
    9. Maria A. Arias & Charles S. Gascon & David E. Rapach, 2014. "Metro Business Cycles," Working Papers 2014-46, Federal Reserve Bank of St. Louis.
    10. Marie Bessec, 2012. "Short-term forecasts of French GDP: a dynamic factor model with targeted predictors," Working papers 409, Banque de France.
    11. Michael ARTIS & Massimiliano MARCELLINO & Tommaso PROIETTI, 2002. "Dating the Euro Area Business Cycle," Economics Working Papers ECO2002/24, European University Institute.
    12. In Choi & Hanbat Jeong, 2019. "Model selection for factor analysis: Some new criteria and performance comparisons," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 577-596, July.
    13. Breitung, Jörg & Eickmeier, Sandra, 2005. "Dynamic factor models," Discussion Paper Series 1: Economic Studies 2005,38, Deutsche Bundesbank.
    14. 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.
    15. Andrea Carriero & Massimiliano Marcellino, 2011. "Sectoral Survey‐based Confidence Indicators for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 175-206, April.
    16. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    17. Herman Kamil & Jose David Pulido & Jose Luis Torres, 2010. "El "IMACO": un índice mensual líder de la actividad económica en Colombia," Borradores de Economia 609, Banco de la Republica de Colombia.
    18. 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.
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  24. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2000. "Reference Cycles: The NBER Methodology Revisited," CEPR Discussion Papers 2400, C.E.P.R. Discussion Papers.

    Cited by:

    1. Zhaoxing Gao & Ruey S. Tsay, 2020. "A Two-Way Transformed Factor Model for Matrix-Variate Time Series," Papers 2011.09029, arXiv.org.
    2. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
    3. Egon Smeral & Michael Wüger, 2004. "Does Complexity Matter? Methods for Improving Forecasting Accuracy in Tourism," WIFO Working Papers 225, WIFO.
    4. 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.
    5. Gao, Zhaoxing & Tsay, Ruey S., 2023. "A Two-Way Transformed Factor Model for Matrix-Variate Time Series," Econometrics and Statistics, Elsevier, vol. 27(C), pages 83-101.
    6. 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.
    7. André Nunes Maranhão, 2024. "Brazilian Business Cycle Analysis in a High-Dimensional and Time-Irregular Span Context," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(1), pages 1-58, August.
    8. Harding, Don & Pagan, Adrian, 2003. "A comparison of two business cycle dating methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1681-1690, July.
    9. Marcus Scheiblecker, 2007. "Datierung von Konjunkturwendepunkten in Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 80(9), pages 715-730, September.
    10. Alonso Fernández, Andrés Modesto & Bastos, Guadalupe & García-Martos, Carolina, 2017. "BIAS correction for dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 24029, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Massimiliano Marcellino & James H. Stock & Mark W. Watson, "undated". "Macroeconomic Forecasting in the Euro Area: Country Specific versus Area-Wide Information," Working Papers 201, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    12. Stelios D. Bekiros & Alessia Paccagnini, 2016. "Policy‐Oriented Macroeconomic Forecasting with Hybrid DGSE and Time‐Varying Parameter VAR Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(7), pages 613-632, November.
    13. Rozite, Kristiana & Bezemer, Dirk J. & Jacobs, Jan P.A.M., 2019. "Towards a financial cycle for the U.S., 1973–2014," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    14. Stelios D. Bekiros & Alessia Paccagnini, 2013. "Bayesian Forecasting with a Factor-Augmented Vector Autoregressive DSGE model," Working Paper series 22_13, Rimini Centre for Economic Analysis.
    15. Zhaoxing Gao & Ruey S. Tsay, 2021. "Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data," Papers 2103.14626, arXiv.org.
    16. 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.
    17. Christophe Van Nieuwenhuyze, 2006. "A generalised dynamic factor model for the Belgian economy - Useful business cycle indicators and GDP growth forecasts," Working Paper Research 80, National Bank of Belgium.
    18. Paccagnini, Alessia, 2019. "Did financial factors matter during the Great Recession?," Economics Letters, Elsevier, vol. 174(C), pages 26-30.
    19. Massimiliano Marcellino & George Kapetanios, 2006. "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 305, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    20. Stephen G. Hall & Nicholas G. Zonzilos, 2003. "An Indicator Measuring Underlying Economic Activity in Greece," Working Papers 04, Bank of Greece.
    21. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    22. Miroslav Klúcik & Ján Haluška, 2008. "Construction of composite leading indicator for the Slovak economy," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 55, pages 363-370, November.
    23. Juan Carlos Chávez Martín del Campo & Ricardo Rodríguez Vargas & Felipe de Jesús Fonseca Hernández, 2010. "Vacas gordas y vacas flacas: la política fiscal y el balance estructural en México, 1990-2009," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 25(2), pages 309-336.
    24. Bekiros, Stelios D. & Paccagnini, Alessia, 2015. "Macroprudential Policy And Forecasting Using Hybrid Dsge Models With Financial Frictions And State Space Markov-Switching Tvp-Vars," Macroeconomic Dynamics, Cambridge University Press, vol. 19(7), pages 1565-1592, October.
    25. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    26. Enrique López Enciso, 2019. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 6(1), pages 77-142, February.
    27. Michael Artis & Anindya Banerjee & Massimiliano Marcellino, "undated". "Factor forecasts for the UK," Working Papers 203, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    28. Zhaoxing Gao, 2024. "Sparse Asymptotic PCA: Identifying Sparse Latent Factors Across Time Horizon," Papers 2407.09738, arXiv.org, revised Jan 2025.
    29. Edgar Vicente MARCILLO YÉPEZ, 2013. "Un indicador Líder para la actividad económica de Colombia," Archivos de Economía 11205, Departamento Nacional de Planeación.
    30. George Kapetanios & Massimiliano Marcellino, 2009. "A parametric estimation method for dynamic factor models of large dimensions," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(2), pages 208-238, March.
    31. Jushan Bai & Chihwa Kao, 2005. "On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence," Center for Policy Research Working Papers 75, Center for Policy Research, Maxwell School, Syracuse University.
    32. Stelios Bekiros & Alessia Paccagnini, 2014. "Forecasting the US Economy with a Factor-Augmented Vector Autoregressive DSGE model," Working Papers 2014-183, Department of Research, Ipag Business School.
    33. Enrique A. López-Enciso, 2017. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Borradores de Economia 986, Banco de la Republica de Colombia.
    34. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
    35. Juan Carlos Chávez Martín del Campo & Ricardo Rodríguez Vargas & Felipe de Jesús Fonseca Hernández, 2010. "Vacas gordas y vacas flacas: La Política Fiscal y el Balance Estructural en México, 1990-2009," Department of Economics and Finance Working Papers EC201004, Universidad de Guanajuato, Department of Economics and Finance.
    36. François Bouton & Hélène Erkel-Rousse, 2002. "Conjonctures sectorielles et prévision à court terme de l'activité : l'apport de l'enquête de conjoncture dans les services," Économie et Statistique, Programme National Persée, vol. 359(1), pages 35-68.
    37. Sonia de Lucas Santos & M. Jesús Delgado Rodríguez & Inmaculada Álvarez Ayuso & José Luis Cendejas Bueno, 2011. "Los ciclos económicos internacionales: antecedentes y revisión de la literatura," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 34(95), pages 73-84, Agosto.

  25. Lippi, Marco & Forni, Mario, 2000. "The Generalized Dynamic Factor Model: Representation Theory," CEPR Discussion Papers 2509, C.E.P.R. Discussion Papers.

    Cited by:

    1. Julien Chevallier & Sofiane Aboura, 2014. "Cross-market index with Factor-DCC," Post-Print hal-01531234, HAL.
    2. Abdić Ademir & Resić Emina & Abdić Adem, 2020. "Modelling and forecasting GDP using factor model: An empirical study from Bosnia and Herzegovina," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 10-26, May.
    3. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and Practice of GVAR Modeling," CESifo Working Paper Series 4807, CESifo.
    4. Anindya Banerjee & Massimiliano Marcellino, 2008. "Factor-augmented Error Correction Models," Working Papers 335, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. Necati Tekatli, 2010. "A Bayesian Generalized Factor Model with Comparative Analysis (Genellestirilmis Faktor Modellerinin Bayesyen Yaklasimi ve Karsilastirmali Analizi)," Working Papers 1018, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    6. Tibor Szendrei & Katalin Varga, 2017. "FISS - A Factor Based Index of Systemic Stress in the Financial System," MNB Working Papers 2017/9, Magyar Nemzeti Bank (Central Bank of Hungary).
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    308. Juan Carlos Chávez Martín del Campo & Ricardo Rodríguez Vargas & Felipe de Jesús Fonseca Hernández, 2010. "Vacas gordas y vacas flacas: La Política Fiscal y el Balance Estructural en México, 1990-2009," Department of Economics and Finance Working Papers EC201004, Universidad de Guanajuato, Department of Economics and Finance.
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    1. Elena Cefis & Luigi Orsenigo, 1998. "The Persistence of Innovative Activities. A Cross-Countries and Cross-Sectors Comparative Analysis," Department of Economics Working Papers 9804, Department of Economics, University of Trento, Italia.
    2. Patrick LLERENA & Vanessa OLTRA, 2001. "Diversity of innovative strategy as a source of technological performance," Working Papers of BETA 2001-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Bottazzi, Giulio & Dosi, Giovanni & Lippi, Marco & Pammolli, Fabio & Riccaboni, Massimo, 2001. "Innovation and corporate growth in the evolution of the drug industry," International Journal of Industrial Organization, Elsevier, vol. 19(7), pages 1161-1187, July.
    4. John Debenham & Ian Wilkinson, 2006. "Exploitation versus Exploration in Market Competition," Industry and Innovation, Taylor & Francis Journals, vol. 13(3), pages 263-289.
    5. Elena Cefis & Matteo Ciccarelli & Luigi Orsenigo, 2002. "From Gibrat’s legacy to Gibrat’s fallacy. A Bayesian approach to study the growth of firms," Working Papers (-2012) 0206, University of Bergamo, Department of Economics.
    6. Tino Schütte, 2013. "Investment Adjustments In Product Market Competition," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 10(05), pages 1-14.

  27. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.

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    5. Kapetanios, George & Marcellino, Massimiliano, 2010. "Factor-GMM estimation with large sets of possibly weak instruments," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2655-2675, November.
    6. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and Practice of GVAR Modeling," CESifo Working Paper Series 4807, CESifo.
    7. Anindya Banerjee & Massimiliano Marcellino, 2008. "Factor-augmented Error Correction Models," Working Papers 335, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    8. Drew Creal & Bernd Schwaab & Siem Jan Koopman & Andr� Lucas, 2014. "Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
    9. Corielli, Francesco & Marcellino, Massimiliano, 2006. "Factor based index tracking," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2215-2233, August.
    10. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. aggregate shocks : a structural factor analysis of industrial production," Working Paper 08-07, Federal Reserve Bank of Richmond.
    11. Auer, Raphael & Pedemonte, Mathieu & Schoenle, Raphael, 2024. "Sixty Years of Global Inflation: A Post-GFC Update," CEPR Discussion Papers 19226, C.E.P.R. Discussion Papers.
    12. Necati Tekatli, 2010. "A Bayesian Generalized Factor Model with Comparative Analysis (Genellestirilmis Faktor Modellerinin Bayesyen Yaklasimi ve Karsilastirmali Analizi)," Working Papers 1018, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
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    52. Quah, Danny T, 1996. "Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, vol. 1(1), pages 95-124, March.
    53. 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.).
    54. Chantal Dupasquier & Alain Guay & Pierre St-Amant, 1997. "A Comparison of Alternative Methodologies for Estimating Potential Output and the Output Gap," Staff Working Papers 97-5, Bank of Canada.

  33. Marco Lippi & Lucrezia Reichlin, 1992. "On persistence of shocks to economic variables: a common misconception," ULB Institutional Repository 2013/10161, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Tommaso Proietti, 2002. "Some Reflections on Trend-Cycle Decompositions with Correlated Components," Econometrics 0209002, University Library of Munich, Germany.
    2. Cribari-Neto, Francisco, 1996. "On time series econometrics," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(Supplemen), pages 37-60.
    3. Kum Hwa Oh & Eric Zivot & Drew Creal, 2006. "The Relationship between the Beveridge-Nelson Decomposition andUnobserved Component Models with Correlated Shocks," Working Papers UWEC-2006-16-FC, University of Washington, Department of Economics.
    4. Dante Amengual & Xinyue Bei & Enrique Sentana, 2023. "Highly Irregular Serial Correlation Tests," Working Papers wp2023_2302, CEMFI.
    5. Geetha Mayadunne & Merran Evans & Brett Inder, 1995. "An Empirical Investigation of Shock Persistence in Economic Time Series," The Economic Record, The Economic Society of Australia, vol. 71(2), pages 145-156, June.
    6. Cribari-Neto, Francisco, 1993. "The Cyclical Component in Brazilian GDP," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 13(1), April.
    7. Krishnan, R. & Sen, Kunal, 1995. "Measuring persistence in industrial output: The Indian case," Journal of Development Economics, Elsevier, vol. 48(1), pages 25-41, October.
    8. Nagakura, Daisuke, 2008. "A note on the two assumptions of standard unobserved components models," Economics Letters, Elsevier, vol. 100(1), pages 123-125, July.
    9. Cribari-Neto, Francisco, 1993. "Unit roots, random walks and the sources of business cycles: a survey," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 47(3), July.
    10. Proietti, Tommaso & Harvey, Andrew, 2000. "A Beveridge-Nelson smoother," Economics Letters, Elsevier, vol. 67(2), pages 139-146, May.
    11. Oh, Kum Hwa & Zivot, Eric & Creal, Drew, 2008. "The relationship between the Beveridge-Nelson decomposition and other permanent-transitory decompositions that are popular in economics," Journal of Econometrics, Elsevier, vol. 146(2), pages 207-219, October.

  34. Lucrezia Reichlin & Marco Lippi, 1991. "Trend-cycle decompositions and measures of persistence: does time aggregation matter?," ULB Institutional Repository 2013/10163, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. David Aadland, 2002. "Detrending Time-Aggregated Data," Working Papers 2002-05, Utah State University, Department of Economics.
    2. Pierse, R. G. & Snell, A. J., 1995. "Temporal aggregation and the power of tests for a unit root," Journal of Econometrics, Elsevier, vol. 65(2), pages 333-345, February.
    3. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    4. Marcellino, Massimiliano, 1999. "Some Consequences of Temporal Aggregation in Empirical Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 129-136, January.

  35. Lippi, M., 1990. "Issues on Aggregation and Microfundations of Macroeconomics," Papers 6, Roma "la Sapienza" - Scienze Economiche.

    Cited by:

    1. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.

Articles

  1. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.

    Cited by:

    1. Tamás Szabados, 2023. "Factorization of a Spectral Density with Smooth Eigenvalues of a Multidimensional Stationary Time Series," Econometrics, MDPI, vol. 11(2), pages 1-11, May.
    2. Ferrentino, Rosa & Vota, Luca, 2024. "The development planning of the Italian Mezzogiorno: A statistical-mathematical analysis by a Real Business Cycle model," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).

  2. Brian D. O. Anderson & Manfred Deistler & Marco Lippi, 2022. "Linear System Challenges of Dynamic Factor Models," Econometrics, MDPI, vol. 10(4), pages 1-26, December.

    Cited by:

    1. Tamás Szabados, 2023. "Factorization of a Spectral Density with Smooth Eigenvalues of a Multidimensional Stationary Time Series," Econometrics, MDPI, vol. 11(2), pages 1-11, May.

  3. 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.

    Cited by:

    1. Shahriyar Aliyev & Evzen Kocenda, 2020. "ECB Monetary Policy and Commodity Prices," Working Papers IES 2020/8, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2020.
    2. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    3. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    4. Gianluca Cubadda, 2024. "VAR models with an index structure: A survey with new results," Papers 2412.11278, arXiv.org.
    5. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
    6. 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.
    7. Gianluca Cubadda & Marco Mazzali, 2024. "The vector error correction index model: representation, estimation and identification," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 126-150.
    8. Gabriele Mingoli, 2024. "Modeling Common Bubbles: A Mixed Causal Non-Causal Dynamic Factor Model," Tinbergen Institute Discussion Papers 24-072/III, Tinbergen Institute.
    9. Davide Brignone & Alessandro Franconi & Marco Mazzali, 2023. "Robust Impulse Responses using External Instruments: the Role of Information," Papers 2307.06145, arXiv.org.
    10. Haroon Mumtaz & Roman Sustek, 2023. "Global house prices since 1950," Discussion Papers 2307, Centre for Macroeconomics (CFM).
    11. Li, Dake & Plagborg-Møller, Mikkel & Wolf, Christian K., 2024. "Local projections vs. VARs: Lessons from thousands of DGPs," Journal of Econometrics, Elsevier, vol. 244(2).
    12. Hie Joo Ahn & Matteo Luciani, 2021. "Relative prices and pure inflation since the mid-1990s," Finance and Economics Discussion Series 2021-069, Board of Governors of the Federal Reserve System (U.S.).
    13. 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.
    14. Cantore, Cristiano & Ferroni, Filippo & Mumtaz, Hroon & Theophilopoulou, Angeliki, 2022. "A tail of labour supply and a tale of monetary policy," Bank of England working papers 989, Bank of England.
    15. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    16. 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.).
    17. Margaris, Aristotelis, 2024. "Monetary policy and house price heterogeneity: Evidence from the U.K," Economics Letters, Elsevier, vol. 244(C).
    18. Theo Drossidis & Haroon Mumtaz & Angeliki Theophilopoulou, 2024. "The Distributional Effects of Oil Supply New Shocks," Working Papers 975, Queen Mary University of London, School of Economics and Finance.
    19. Mirela Sorina Miescu & Giorgio Motta & Dario Pontiggia & Raffaele Rossi, 2023. "The Expansionary Effects Of Housing Credit Supply Shocks," Working Papers 399832231, Lancaster University Management School, Economics Department.
    20. Takumah, Wisdom, 2023. "Fiscal Policy and Asset Prices in a Dynamic Factor Model with Cointegrated Factors," MPRA Paper 117897, University Library of Munich, Germany, revised 10 Jul 2023.
    21. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.

  4. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2020. "Cointegration and Error Correction Mechanisms for Singular Stochastic Vectors," Econometrics, MDPI, vol. 8(1), pages 1-23, February.

    Cited by:

    1. Tibor Szendrei & Katalin Varga, 2017. "FISS - A Factor Based Index of Systemic Stress in the Financial System," MNB Working Papers 2017/9, Magyar Nemzeti Bank (Central Bank of Hungary).
    2. Feng, Zongbao & Chen, Weiya & Liu, Yang & Chen, Hongyu & Skibniewski, Mirosław J., 2023. "Long-term equilibrium relationship analysis and energy-saving measures of metro energy consumption and its influencing factors based on cointegration theory and an ARDL model," Energy, Elsevier, vol. 263(PD).
    3. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    4. Sergej Gričar & Štefan Bojnec, 2021. "Technical Analysis of Tourism Price Process in the Eurozone," JRFM, MDPI, vol. 14(11), pages 1-25, October.
    5. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    6. Gianluca Cubadda, 2024. "VAR models with an index structure: A survey with new results," Papers 2412.11278, arXiv.org.
    7. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
    8. 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.
    9. Gabriele Mingoli, 2024. "Modeling Common Bubbles: A Mixed Causal Non-Causal Dynamic Factor Model," Tinbergen Institute Discussion Papers 24-072/III, Tinbergen Institute.
    10. 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.
    11. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    12. 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.

  5. Marc Hallin & Siegfried Hörmann & Marco Lippi, 2018. "Optimal dimension reduction for high-dimensional and functional time series," Statistical Inference for Stochastic Processes, Springer, vol. 21(2), pages 385-398, July.
    See citations under working paper version above.
  6. Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2018. "Dynamic factor model with infinite‐dimensional factor space: Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 625-642, August.
    See citations under working paper version above.
  7. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
    See citations under working paper version above.
  8. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noisy News in Business Cycles," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 122-152, October.
    See citations under working paper version above.
  9. Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2017. "Dynamic factor models with infinite-dimensional factor space: Asymptotic analysis," Journal of Econometrics, Elsevier, vol. 199(1), pages 74-92.
    See citations under working paper version above.
  10. 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.
    See citations under working paper version above.
  11. Hallin, Marc & Lippi, Marco, 2013. "Factor models in high-dimensional time series—A time-domain approach," Stochastic Processes and their Applications, Elsevier, vol. 123(7), pages 2678-2695.
    See citations under working paper version above.
  12. Forni, Mario & Lippi, Marco, 2011. "The general dynamic factor model: One-sided representation results," Journal of Econometrics, Elsevier, vol. 163(1), pages 23-28, July.

    Cited by:

    1. Gabriele Fiorentini & Enrique Sentana, 2019. "Dynamic specification tests for dynamic factor models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 325-346, April.
    2. William A. Barnett & Ryadh M. Alkhareif, 2015. "Core Inflation Indicators For Saudi Arabia," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201410, University of Kansas, Department of Economics, revised Mar 2015.
    3. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    4. Matteo Barigozzi & Marc Hallin, 2014. "Generalized Dynamic Factor Models and Volatilities. Recovering the Market Volatility Shocks," Working Papers ECARES ECARES 2014-52, ULB -- Universite Libre de Bruxelles.
    5. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    6. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2012. "Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations," Working Papers ECARES ECARES 2012-046, ULB -- Universite Libre de Bruxelles.
    7. Peter Pedroni, 2013. "Structural Panel VARs," Econometrics, MDPI, vol. 1(2), pages 1-27, September.
    8. Marc Hallin & Siegfried Hörmann & Marco Lippi, 2017. "Optimal Dimension Reduction for High-dimensional and Functional Time Series," Working Papers ECARES ECARES 2017-39, ULB -- Universite Libre de Bruxelles.
    9. Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
    10. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    11. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    12. Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2016. "A spectral EM algorithm for dynamic factor models," Working Papers 1619, Banco de España.
    13. Paolo Andreini & Donato Ceci, 2019. "A Horse Race in High Dimensional Space," CEIS Research Paper 452, Tor Vergata University, CEIS, revised 14 Feb 2019.
    14. Ryadh M. Alkhareif & William A. Barnett, 2022. "Nowcasting Real GDP for Saudi Arabia1," Open Economies Review, Springer, vol. 33(2), pages 333-345, April.
    15. Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
    16. Daniel Peña & Victor J. Yohai, 2016. "Generalized Dynamic Principal Components," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1121-1131, July.
    17. Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
    18. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2011. "One-Sided Representations of Generalized Dynamic Factor Models," Working Papers ECARES ECARES 2011-019, ULB -- Universite Libre de Bruxelles.
    19. Ryadh M. Alkhareif & William A. Barnett, 2020. "Nowcasting Real Gdp For Saudi Arabia," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202018, University of Kansas, Department of Economics, revised Nov 2020.
    20. 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".
    21. Matteo Barigozzi & Marc Hallin, 2015. "Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting," Working Papers ECARES ECARES 2015-22, ULB -- Universite Libre de Bruxelles.
    22. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    23. Hallin, Marc & Lippi, Marco, 2013. "Factor models in high-dimensional time series—A time-domain approach," Stochastic Processes and their Applications, Elsevier, vol. 123(7), pages 2678-2695.
    24. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    25. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    26. Philipp Gersing, 2024. "On the Existence of One-Sided Representations for the Generalised Dynamic Factor Model," Papers 2410.18159, arXiv.org, revised Mar 2025.
    27. Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.

  13. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2010. "New Eurocoin: Tracking Economic Growth in Real Time," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1024-1034, November.
    See citations under working paper version above.
  14. 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.
  15. Marco Lippi & Franco Peracchi, 2007. "Il primo esercizio italiano di valutazione della ricerca: una prima valutazione," Rivista italiana degli economisti, Società editrice il Mulino, issue 2, pages 267-276.

    Cited by:

    1. Marcella Corsi & Carlo D'Ippoliti & Federico Lucidi, 2011. "On the Evaluation of Economic Research: The Case of Italy," Economia politica, Società editrice il Mulino, issue 3, pages 369-402.
    2. Monacciani, Fabiana, 2010. "University departments evaluation: a multivariate approach," MPRA Paper 24224, University Library of Munich, Germany.
    3. Giovanni Anania & Annarosa Caruso, 2013. "Two simple new bibliometric indexes to better evaluate research in disciplines where publications typically receive less citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 617-631, August.
    4. Marcella Corsi & Carlo D'Ippoliti & Federico Lucidi, 2010. "Pluralism at Risk? Heterodox Economic Approaches and the Evaluation of Economic Research in Italy," American Journal of Economics and Sociology, Wiley Blackwell, vol. 69(5), pages 1495-1529, November.
    5. Anania, Giovanni & Caruso, Annarosa, 2012. "Two New Simple Bibliometric Indexes to Better Evaluate Research in Economics," 2012 First Congress, June 4-5, 2012, Trento, Italy 124116, Italian Association of Agricultural and Applied Economics (AIEAA).

  16. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    See citations under working paper version above.
  17. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2004. "The generalized dynamic factor model consistency and rates," Journal of Econometrics, Elsevier, vol. 119(2), pages 231-255, April.
    See citations under working paper version above.
  18. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2003. "Do financial variables help forecasting inflation and real activity in the euro area?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1243-1255, September.
    See citations under working paper version above.
  19. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    See citations under working paper version above.
  20. Bottazzi, Giulio & Dosi, Giovanni & Lippi, Marco & Pammolli, Fabio & Riccaboni, Massimo, 2001. "Innovation and corporate growth in the evolution of the drug industry," International Journal of Industrial Organization, Elsevier, vol. 19(7), pages 1161-1187, July.
    See citations under working paper version above.
  21. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    See citations under working paper version above.
  22. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.

    Cited by:

    1. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2006. "Are output growth-rate distributions fat-tailed? Some evidence from OECD countries," Working Papers hal-01065643, HAL.
    2. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2017. "Rational Heuristics ? Expectations and behaviors in Evolving Economies with Heterogeneous interacting agents," Working Papers hal-03455368, HAL.
    3. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers 07/2012, University of Verona, Department of Economics.
    4. Nizalov, Denys & Schmid, A. Allan, 2004. "Regional Poverty In Michigan: Rural And Urban Difference," Staff Paper Series 11782, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    5. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    6. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. 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".
    8. 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".
    9. Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.
    10. Yongok Choi & Giacomo Rondina & Todd B. Walker, 2023. "Information Aggregation Bias and Samuelson's Dictum," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(5), pages 1119-1145, August.
    11. Aart Kraay & Roy Weide, 2022. "Measuring intragenerational mobility using aggregate data," Journal of Economic Growth, Springer, vol. 27(2), pages 273-314, June.
    12. Onatski, Alexei, 2012. "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, vol. 168(2), pages 244-258.
    13. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    14. Lorenzo Trapani & Giovanni Urga, 2007. "Micro versus Macro Cointegration in Heterogeneous Panels," Working Papers 0711, Department of Management, Information and Production Engineering, University of Bergamo.
    15. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. George C. Davis, 1999. "The science and art of promotion evaluation," Agribusiness, John Wiley & Sons, Ltd., vol. 15(4), pages 465-483.

  23. Lippi, Marco & Reichlin, Lucrezia, 1994. "Common and uncommon trends and cycles," European Economic Review, Elsevier, vol. 38(3-4), pages 624-635, April.
    See citations under working paper version above.
  24. Lippi, Marco & Reichlin, Lucrezia, 1994. "VAR analysis, nonfundamental representations, blaschke matrices," Journal of Econometrics, Elsevier, vol. 63(1), pages 307-325, July.
    See citations under working paper version above.
  25. Marco Lippi & Lucrezia Reichlin, 1994. "Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 19-30.
    See citations under working paper version above.
  26. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-652, June.
    See citations under working paper version above.
  27. Lippi, Marco & Reichlin, Lucrezia, 1992. "On persistence of shocks to economic variables : A common misconception," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 87-93, February.
    See citations under working paper version above.
  28. Lippi, Marco & Reichlin, Lucrezia, 1991. "Trend-Cycle Decompositions and Measures of Persistence: Does Time Aggregation Matter?," Economic Journal, Royal Economic Society, vol. 101(405), pages 314-323, March.
    See citations under working paper version above.
  29. Lippi, Marco, 1988. "On the dynamic shape of aggregated error correction models," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 561-585.

    Cited by:

    1. Marcellino, Massimiliano, 2000. "Linear aggregation with common trends and cycles," Research in Economics, Elsevier, vol. 54(2), pages 117-131, June.
    2. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2006. "Data Aggregation and Vertical Price Transmission: An Experiment with German Food Prices," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25291, International Association of Agricultural Economists.
    3. Balaguer, Jacint & Ripollés, Jordi, 2013. "Asymmetric fuel price responses under heterogeneity," MPRA Paper 52481, University Library of Munich, Germany.
    4. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2003. "The Impact Of Data Aggregation On The Measurement Of Vertical Price Transmission: Evidence From German Food Prices," 2003 Annual meeting, July 27-30, Montreal, Canada 21987, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Hashem Pesaran, M., 2003. "Aggregation of linear dynamic models: an application to life-cycle consumption models under habit formation," Economic Modelling, Elsevier, vol. 20(2), pages 383-415, March.
    6. Stephan von Cramon-Taubadel & Jens-Peter Loy & Jochen Meyer, 2006. "The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 505-522.
    7. Pesaran, M. H., 1999. "On Aggregation of Linear Dynamic Models," Cambridge Working Papers in Economics 9919, Faculty of Economics, University of Cambridge.
    8. Lorenzo Trapani & Giovanni Urga, 2007. "Micro versus Macro Cointegration in Heterogeneous Panels," Working Papers 0711, Department of Management, Information and Production Engineering, University of Bergamo.
    9. Fratantoni, Michael & Schuh, Scott, 2003. "Monetary Policy, Housing, and Heterogeneous Regional Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 557-589, August.
    10. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.
    11. Jacint Balaguer & Jordi Ripollés, 2016. "Exploring the life of price responses in fuel markets. Mean group data or mean group estimator?," Working Papers 2016/16, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Masanao Aoki & Yoshio Miyahara, 1991. "Stochastic Aggregation and Dynamic Field Effects," UCLA Economics Working Papers 637, UCLA Department of Economics.
    13. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    14. Michael Fratantoni & Scott Schuh, 2000. "Monetary policy, housing investment, and heterogeneous regional markets," Working Papers 00-1, Federal Reserve Bank of Boston.
    15. Ramsey, James B., 1996. "On the existence of macro variables and of macro relationships," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 275-299, September.

Chapters

  1. Marco Lippi, 2008. "Some Observations on Sraffa and Mathematical Proofs With an Appendix on Sraffa’s Convergence Algorithm," Palgrave Macmillan Books, in: Guglielmo Chiodi & Leonardo Ditta (ed.), Sraffa or An Alternative Economics, chapter 12, pages 243-259, Palgrave Macmillan.

    Cited by:

    1. Saccal, Alessandro, 2024. "An alternative derivation of Sraffa’s fundamental equation with applications," MPRA Paper 120282, University Library of Munich, Germany.
    2. Saccal, Alessandro, 2024. "Sraffa: some alternative proofs," MPRA Paper 120418, University Library of Munich, Germany.

  2. Marco Lippi & Lucrezia Reichlin, 1991. "Permanent and Transitory Components in Macroeconomics," International Economic Association Series, in: Niels Thygesen & Kumaraswamy Velupillai & Stefano Zambelli (ed.), Business Cycles, chapter 13, pages 331-367, Palgrave Macmillan.

    Cited by:

    1. Michelacci, Claudio & Zaffaroni, Paolo, 2000. "(Fractional) beta convergence," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 129-153, February.
    2. Schlitzer, Giuseppe, 1995. "Testing the stationarity of economic time series: further Monte Carlo evidence," Ricerche Economiche, Elsevier, vol. 49(2), pages 125-144, June.

  3. Giovanni Dosi & Fabrizio Coricelli & Marco Lippi & Ronald Heiner & Norman Clark & Calestous Juma, 1988. "Part III - How well does established theory work," LEM Chapters Series, in: Giovanni Dosi & Christopher Freeman & Richard Nelson & Gerarld Silverberg & Luc Soete (ed.), Technical Change and Economic Theory, chapter 6, pages 120-218, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. David Nascimento & Aurora A.C. Teixeira, 2010. "Recent trends in the economics of innovation literature through the lens of Industrial and Corporate Change," FEP Working Papers 395, Universidade do Porto, Faculdade de Economia do Porto.

Books

  1. Forni, Mario & Lippi, Marco, 1997. "Aggregation and the Microfoundations of Dynamic Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198288008, Decembrie.

    Cited by:

    1. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and Practice of GVAR Modeling," CESifo Working Paper Series 4807, CESifo.
    2. Libero Monteforte, 2004. "Aggregation bias in macro models: does it matter foir the euro area?," Temi di discussione (Economic working papers) 534, Bank of Italy, Economic Research and International Relations Area.
    3. Pedro Garcia Duarte & Gilberto Tadeu Lima, 2011. "Privileging Micro over Macro? A History of Conflicting Positions," Working Papers, Department of Economics 2011_01, University of São Paulo (FEA-USP).
    4. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
    5. Choudhary, M. Ali & Michael Orszag, J., 2008. "A cobweb model with local externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 821-847, March.
    6. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. G. Fagiolo & G. Dosi & R. Gabriele, 2004. "Matching, Bargaining, And Wage Setting In An Evolutionary Model Of Labor Market And Output Dynamics," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 5, pages 59-89, World Scientific Publishing Co. Pte. Ltd..
    8. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    9. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2017. "Rational Heuristics ? Expectations and behaviors in Evolving Economies with Heterogeneous interacting agents," Working Papers hal-03455368, HAL.
    10. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so close : coupled climate and economic dynamics in an agent-based integrated assessment model," SciencePo Working papers Main hal-03458816, HAL.
    11. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers 07/2012, University of Verona, Department of Economics.
    12. Dees, S. & di Mauro, F. & Pesaran, M.H. & Smith, L.V., 2005. "Exploring the International Linkages of the Euro Area: a Global VAR Analysis," Cambridge Working Papers in Economics 0518, Faculty of Economics, University of Cambridge.
    13. Pierpaolo Andriani & Bill McKelvey, 2006. "Beyond Gaussian Averages: Redirecting Management Research Toward Extreme Events and Power Laws," Department of Economics Working Papers 2006_03, Durham University, Department of Economics.
    14. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2009. "The distribution of households consumption-expenditure budget shares," Working Paper Series 1061, European Central Bank.
    15. Laura Mayoral, 2009. "Heterogeneous dynamics, aggregation and the persistence of economic shocks," UFAE and IAE Working Papers 786.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    16. Nizalov, Denys & Schmid, A. Allan, 2004. "Regional Poverty In Michigan: Rural And Urban Difference," Staff Paper Series 11782, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    17. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    18. Bernd Süssmuth, 2002. "National and Supranational Business Cycles (1960-2000): A multivariate description of central G7 and EURO15 NIPA aggregates," CESifo Working Paper Series 658, CESifo.
    19. Mauro Gallegati & Gianfranco Giulioni & Nozomi Kichiji, 2003. "Complex Dynamics And Financial Fragility In An Agent-Based Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 267-282.
    20. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Forni, Mario & Reichlin, Lucrezia, 1999. "Risk and potential insurance in Europe," European Economic Review, Elsevier, vol. 43(7), pages 1237-1256, June.
    22. Alexander Chudik & Roland Straub, 2017. "Size, Openness, And Macroeconomic Interdependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(1), pages 33-55, February.
    23. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    24. Bernard Candelpergher & Michel Miniconi & Florian Pelgrin, 2015. "Long-memory process and aggregation of AR(1) stochastic processes: A new characterization," Working Papers hal-01166527, HAL.
    25. Nizalov, Denys & Loveridge, Scott, 2005. "The Differential Impact of Regional Policies on Economic Growth: One Size Does Not Fit All," 2005 Annual meeting, July 24-27, Providence, RI 19360, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    27. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    28. 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".
    29. Jean Imbs & Eric Jondeau & Florian Pelgrin, 2006. "Aggregating Phillips curves," 2006 Meeting Papers 640, Society for Economic Dynamics.
    30. Eric JONDEAU & Florian PELGRIN, 2014. "Estimating Aggregate Autoregressive Processes When Only Macro Data are Available," Swiss Finance Institute Research Paper Series 14-43, Swiss Finance Institute.
    31. Alexandre Petkovic & David Veredas, 2009. "Aggregation of linear models for panel data," Working Papers ECARES 2009-012, ULB -- Universite Libre de Bruxelles.
    32. Ghouri, Arsalan Mujahid & Akhtar, Pervaiz & Shahbaz, Muhammad & Shabbir, Haseeb, 2019. "Affective organizational commitment in global strategic partnerships: The role of individual-level microfoundations and social change," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 320-330.
    33. Pesaran, M. Hashem & Chudik, Alexander, 2011. "Aggregation in Large Dynamic Panels," IZA Discussion Papers 5478, Institute of Labor Economics (IZA).
    34. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    35. Giovanni Dosi & Giorgio Fagiolo & Roberto Gabriele, 2004. "Towards an Evolutionary Interpretation of Aggregate Labor Market Regularities," LEM Papers Series 2004/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Carolina Castaldi & Giovanni Dosi, 2003. "The Grip of History and the Scope for Novelty: Some Results and Open Questions on Path Dependence in Economic Processes," LEM Papers Series 2003/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Martino, Gaetano & Polinori, Paolo, 2010. "The individual contribution to income inequality: conceptual analysis and empirical investigation," MPRA Paper 34365, University Library of Munich, Germany.
    38. Anwar Shaikh, 2012. "Rethinking Microeconomics: A Proposed Reconstruction," Working Papers 1206, New School for Social Research, Department of Economics.
    39. 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".
    40. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    41. Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.
    42. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    43. Alessandro Roncaglia, 2011. "Macroeconomics in crisis and macroeconomics in recovery," PSL Quarterly Review, Economia civile, vol. 64(257), pages 167-185.
    44. M. Gallegati & A. Palestrini & D. Gatti & E. Scalas, 2006. "Aggregation of Heterogeneous Interacting Agents: The Variant Representative Agent Framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(1), pages 5-19, May.
    45. Terence Tai-Leung Chong & Guoxin Liu & Isabel Kit-Ming Yan, 2007. "Habit Formation: Deep and Uncertain," Economics Bulletin, AccessEcon, vol. 3(2), pages 1-10.
    46. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    47. Alessandro Roncaglia, 2012. "Keynesian uncertainty and the shaky foundations of statistical risk assessment models," PSL Quarterly Review, Economia civile, vol. 65(263), pages 437-454.
    48. Aart Kraay & Roy Weide, 2022. "Measuring intragenerational mobility using aggregate data," Journal of Economic Growth, Springer, vol. 27(2), pages 273-314, June.
    49. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    50. Alessandro Roncaglia, 2011. "Macroeconomie in crisi e macroeconomie in ripresa," Moneta e Credito, Economia civile, vol. 64(254), pages 115-133.
    51. Daniel L. Thornton, 2012. "Monetary policy: why money matters, and interest rates don’t," Working Papers 2012-020, Federal Reserve Bank of St. Louis.
    52. 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.
    53. Alan Kirman, 1996. "Book Reviews," Journal of Economic Methodology, Taylor & Francis Journals, vol. 3(2), pages 322-333.
    54. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2013. "The common component of firm growth," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 73-82.
    55. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.
    56. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    57. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2010. "On the distributional properties of household consumption expenditures: the case of Italy," Empirical Economics, Springer, vol. 38(3), pages 717-741, June.
    58. Alexandre Petkovic, 2009. "Three essays on exotic option pricing, multivariate Lévy processes and linear aggregation of panel models," ULB Institutional Repository 2013/210357, ULB -- Universite Libre de Bruxelles.
    59. Runze Yuan & Xi Xi & Yifan Zhang & Zhentao Liu & Chao Li & Yu Liang, 2024. "Optimal Growths from Two Perspectives, with Conditional Macro- and Micro-consistency: Dynamic Summation of Economic Variables Under Differential Regional Representative Production Functions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8737-8766, June.
    60. Lorenzo Trapani & Giovanni Urga, 2007. "Micro versus Macro Cointegration in Heterogeneous Panels," Working Papers 0711, Department of Management, Information and Production Engineering, University of Bergamo.
    61. Alessandro Ronaglia, 2012. "Note bibliografiche: Gallino L. (a cura di): La lotta di classe dopo la lotta di classe," Moneta e Credito, Economia civile, vol. 65(260), pages 335-339.
    62. Denys Nizalov & A. Allan Schmid, 2008. "Poverty in Michigan Small Communities," International Regional Science Review, , vol. 31(3), pages 275-303, July.
    63. Douch, Mohamed & Bouaddi, Mohammed, 2010. "EQUITY Premium Puzzle in a Data-Rich Environment," MPRA Paper 29440, University Library of Munich, Germany.
    64. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
    65. Filippo Altissimo & Benoit Mojon & Paolo Zaffaroni, 2007. "Fast micro and slow macro: can aggregation explain the persistence of inflation?," Working Paper Series WP-07-02, Federal Reserve Bank of Chicago.
    66. Neri Salvadori (ed.), 2010. "Institutional and Social Dynamics of Growth and Distribution," Books, Edward Elgar Publishing, number 13365.
    67. Karim Barhoumi & Olivier Darn & Laurent Ferrara, 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    68. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," Papers on Economics and Evolution 2008-09, Philipps University Marburg, Department of Geography.
    69. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.
    70. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    71. Heinz D. Kurz & Neri Salvadori, 2019. "Alla ricerca di una migliore teoria macroeconomica (Looking for a better macroeconomic theory)," Moneta e Credito, Economia civile, vol. 72(287), pages 229-247.
    72. Adam Jêdrzejczyk, 2012. "Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach," Working Papers 63, Department of Applied Econometrics, Warsaw School of Economics.
    73. Joakim, Westerlund & Johan, Blomquist, 2009. "Are Crime Rates Really Stationary?," Working Papers 2009:20, Lund University, Department of Economics.
    74. Alan Kirman, 2002. "Reflections on interaction and markets," Quantitative Finance, Taylor & Francis Journals, vol. 2(5), pages 322-326.
    75. Bischi, Gian-Italo & Gallegati, Mauro & Gardini, Laura & Leombruni, Roberto & Palestrini, Antonio, 2006. "Herd Behavior And Nonfundamental Asset Price Fluctuations In Financial Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 10(4), pages 502-528, September.
    76. A. Pyka & G. Fagiolo, 2007. "Agent-based Modelling: A Methodology for Neo-Schumpetarian Economics," Chapters, in: Horst Hanusch & Andreas Pyka (ed.), Elgar Companion to Neo-Schumpeterian Economics, chapter 29, Edward Elgar Publishing.
    77. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    78. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    79. Giancarlo Lutero & Marco Marini, 2010. "Direct vs Indirect Forecasts of Foreign Trade Unit Value Indices," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 12(2-3), pages 73-96, October.
    80. Mehmet Caner & Xu Han, 2014. "Selecting the Correct Number of Factors in Approximate Factor Models: The Large Panel Case With Group Bridge Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 359-374, July.
    81. Andrea R. Lamorgese & Gianmarco I.P. Ottaviano, 2006. "Intercity interactions: evidence from the US," 2006 Meeting Papers 667, Society for Economic Dynamics.
    82. Marco Mazzoli, 2001. "A simple enquiry on heterogeneous lending rates and lending behaviour," Heterogeneity and monetary policy 0105, Universita di Modena e Reggio Emilia, Dipartimento di Economia Politica.
    83. Ben Tippet & Özlem Onaran & Rafael Wildauer, 2024. "The Effect of Labor's Bargaining Power on Wealth Inequality in the UK, USA, And France," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 70(1), pages 102-128, March.
    84. Dai, Wei & Tsang, Ka Wai, 2023. "A resampling approach for confidence intervals in linear time-series models after model selection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    85. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2010. "Financial Fragility, Mean-field Interaction and Macroeconomic Dynamics: A Stochastic Model," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 13, Edward Elgar Publishing.

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