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Marco Capasso

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marco Capasso & Alessio Moneta, 2016. "Macroeconomic responses to an independent monetary policy shock: a (more) agnostic identification procedure," LEM Papers Series 2016/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    4. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    5. Herwartz, Helmut & Maxand, Simone & Rohloff, Hannes, 2018. "Lean against the wind or float with the storm? Revisiting the monetary policy asset price nexus by means of a novel statistical identification approach," University of Göttingen Working Papers in Economics 354, University of Goettingen, Department of Economics.
    6. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    7. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.

  2. Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2015. "Causal Relations between Knowledge-Intensive Business Services and Regional Employment Growth," Papers in Evolutionary Economic Geography (PEEG) 1534, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2015.

    Cited by:

    1. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2020. "Social Investment And Youth Labor Market Participation," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 343-358, April.
    2. Thomas Brenner & Franziska Pudelko, 2019. "The effects of public research and subsidies on regional structural strength," Journal of Evolutionary Economics, Springer, vol. 29(5), pages 1433-1458, November.
    3. Dioni Elche & Davide Consoli & Mabel Sánchez-Barrioluengo, 2021. "From brawn to brains: manufacturing–KIBS interdependency," Regional Studies, Taylor & Francis Journals, vol. 55(7), pages 1282-1298, July.
    4. Ciarli, Tommaso & Coad, Alex & Moneta, Alessio, 2023. "Does exporting cause productivity growth? Evidence from Chilean firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 228-239.
    5. Sorenson, Olav & Kwon, Doris, 2019. "The Silicon Valley Syndrome," SocArXiv zug2s, Center for Open Science.
    6. Malgorzata Juchniewicz, 2021. "Factor Competitiveness of the Technological Advanced Services Sector in the European Union Countries: A Typological Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 260-273.
    7. Ignatov Augustin, 2019. "Institutional Efficiency, Entrepreneurship, and the Premises of Economic Development in the Eastern European Countries," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 64(2), pages 12-32, August.
    8. Tommaso Ciarli & Alex Coad & Alessio Moneta, 2019. "Exporting and productivity as part of the growth process: Causal evidence from a data-driven structural VAR," LEM Papers Series 2019/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Nikolay Chichkanov & Ian Miles & Veronika Belousova, 2019. "Conditions For Innovation In Kibs: Evidence From Russia," HSE Working papers WP BRP 92/STI/2019, National Research University Higher School of Economics.
    10. Thomas Brenner & Gesa Pflitsch, 2017. "The raise of publications on sustainability—a case study in Germany," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 37(2), pages 189-225, October.
    11. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2018. "Social Investment and youth labour market participation: a EU regional analysis," Discussion Papers 2018/236, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    12. Santos-Vijande, María Leticia & López-Sánchez, Jose Ángel & Pascual-Fernández, Primitiva & Rudd, John M., 2021. "Service innovation management in a modern economy: Insights on the interplay between firms’ innovative culture and project-level success factors," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

  3. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Post-Print hal-03604414, HAL.

    Cited by:

    1. Fulvio Castellacci & Prince C. Oguguo & Isabel Maria Bodas Freitas, 2022. "Quality of pro-market national institutions and firms’ decision to invest in R&D: evidence from developing and transition economies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 35-57, March.
    2. Farasat A. S. Bokhari & Franco Mariuzzo & Anna Rita Bennato, 2021. "Innovation and growth in the UK pharmaceuticals: the case of product and marketing introductions," Small Business Economics, Springer, vol. 57(1), pages 603-634, June.
    3. Marco Capasso & Koen Frenken & Tania Treibich, 2017. "Sectoral co-movements of employment growth at regional level," Economic Systems Research, Taylor & Francis Journals, vol. 29(1), pages 82-104, January.
    4. SooGeun Ahn & Jeewhan Yoon & YoungJun Kim, 2018. "The innovation activities of small and medium-sized enterprises and their growth: quantile regression analysis and structural equation modeling," The Journal of Technology Transfer, Springer, vol. 43(2), pages 316-342, April.
    5. Kwon, He-Boong & Lee, Jooh, 2019. "Exploring the differential impact of environmental sustainability, operational efficiency, and corporate reputation on market valuation in high-tech-oriented firms," International Journal of Production Economics, Elsevier, vol. 211(C), pages 1-14.
    6. Nanditha Mathew & George Paily, 2022. "STI-DUI innovation modes and firm performance in the Indian capital goods industry: Do small firms differ from large ones?," The Journal of Technology Transfer, Springer, vol. 47(2), pages 435-458, April.
    7. Marco Di Cintio, Marco Di Cintio & Sucharita Ghosh, Sucharita Ghosh & Emanuele Grassi, Emanuele Grassi, 2016. "Firm Employment Growth, R&D Expenditures and Exports," ETA: Economic Theory and Applications 240750, Fondazione Eni Enrico Mattei (FEEM).
    8. Adams, Pamela & Bodas Freitas, Isabel Maria & Fontana, Roberto, 2019. "Strategic orientation, innovation performance and the moderating influence of marketing management," Journal of Business Research, Elsevier, vol. 97(C), pages 129-140.
    9. Alex Coad & Nanditha Mathew & Emanuele Pugliese, 2017. "What's good for the goose ain't good for the gander: cock-eyed counterfactuals and the performance effects of R&D," LEM Papers Series 2017/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Caterina Santi & Pietro Santoleri, 2016. "Exploring the link between Innovation and Growth in Chilean firms," LEM Papers Series 2016/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Runst, Petrik & Thomä, Jörg, 2024. "Risk-reward trade-offs: Modes of innovation and economic performance of young firms," ifh Working Papers 43/2024, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    12. Pahnke, André & Kay, Rosemarie & Schlepphorst, Susanne, 2017. "Unternehmerisches Verhalten im Zuge der Unternehmensnachfolge," IfM-Materialien 254, Institut für Mittelstandsforschung (IfM) Bonn.
    13. Coad, Alex & Segarra Blasco, Agustí, 1958- & Teruel, Mercedes, 2013. "Innovation and firm growth: Does firm age play a role?," Working Papers 2072/211886, Universitat Rovira i Virgili, Department of Economics.
    14. Kang, Taewon & Baek, Chulwoo & Lee, Jeong-Dong, 2019. "Effects of knowledge accumulation strategies through experience and experimentation on firm growth," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 169-181.
    15. Alexander McKelvie & Anna Brattström & Karl Wennberg, 2017. "How young firms achieve growth: reconciling the roles of growth motivation and innovative activities," Small Business Economics, Springer, vol. 49(2), pages 273-293, August.
    16. Mathew, Nanditha & Paily, George, 2020. "STI-DUI innovation modes and firm performance in the Indian capital goods industry: Do small firms differ from large ones?," MERIT Working Papers 2020-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. María Huertas González-Serrano & Vicente Prado-Gascó & Josep Crespo-Hervás & Ferran Calabuig-Moreno, 2019. "Does sport affect the competitiveness of European Union countries? An analysis of the degree of innovation and GDP per capita using linear and QCA models," International Entrepreneurship and Management Journal, Springer, vol. 15(4), pages 1343-1362, December.
    18. Hongya Li & Laiqun Jin & Yuanyao Ding, 2019. "Innovation, Mark-Up and Firm Growth: Evidence from China’s New Generation IT Industry," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    19. Josh Siepel & Roberto Camerani & Monica Masucci, 2021. "Skills combinations and firm performance," Small Business Economics, Springer, vol. 56(4), pages 1425-1447, April.
    20. Pengyuan Xu & Meiqing Zhang & Min Gui, 2020. "How R&D Financial Subsidies, Regional R&D Input, and Intellectual Property Protection Affect the Sustainable Patent Output of SMEs: Evidence from China," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    21. Carlo Corradini & Pelin Demirel & Giuliana Battisti, 2016. "Technological diversification within UK’s small serial innovators," Small Business Economics, Springer, vol. 47(1), pages 163-177, June.
    22. Cattaruzzo, Sebastiano & Teruel, Mercedes, 2022. "On the heterogeneity of the long-term leverage-growth relationship: A cross-country analysis of manufacturing firms," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 552-565.
    23. Di Cintio, Marco & Ghosh, Sucharita & Grassi, Emanuele, 2017. "Firm growth, R&D expenditures and exports: An empirical analysis of italian SMEs," Research Policy, Elsevier, vol. 46(4), pages 836-852.
    24. Gimenez-Fernandez, Elena M. & Sandulli, Francesco D. & Bogers, Marcel, 2020. "Unpacking liabilities of newness and smallness in innovative start-ups: Investigating the differences in innovation performance between new and older small firms," Research Policy, Elsevier, vol. 49(10).
    25. Runst, Petrik & Thomä, Jörg, 2023. "Innovations- und Wachstumspfade junger Unternehmen," ifh Forschungsberichte 21, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    26. Hyunseog Chung & Soomin Eum & Chulung Lee, 2019. "Firm Growth and R&D in the Korean Pharmaceutical Industry," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    27. Michal Brzozowski, 2019. "Access to Credit and Growth of Firms," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(3), pages 253-274, June.
    28. Markéta Šeligová, 2016. "The Effects of R&D Intensity and Tax Incentives on Firms Growth of PIGS Countries," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2016(2), pages 53-67.

  4. Marco Capasso & Elena Cefis & Koen Frenken, 2011. "Spatial differentiation in industrial dynamics A core-periphery analysis based on the Pavitt-Miozzo-Soete taxonomy," Papers in Evolutionary Economic Geography (PEEG) 1103, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2011.

    Cited by:

    1. Kronenberg, Kristin, 2011. "Firm relocations in the Netherlands: Why do firms move, and where do they go?," MPRA Paper 32147, University Library of Munich, Germany.
    2. Koen Frenken & Elena Cefis & Erik Stam, 2015. "Industrial Dynamics and Clusters: A Survey," Regional Studies, Taylor & Francis Journals, vol. 49(1), pages 10-27, January.
    3. Andrea Bonaccorsi & Massimo Colombo & Massimiliano Guerini & Cristina Rossi-Lamastra, 2013. "University specialization and new firm creation across industries," Small Business Economics, Springer, vol. 41(4), pages 837-863, December.

  5. M. Capasso & E. Cefis, 2010. "Firm Size and Growth Rate Variance: the Effects of Data Truncation," Working Papers 10-23, Utrecht School of Economics.

    Cited by:

    1. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    2. Flavio Calvino & Chiara Criscuolo & Carlo Menon & Angelo Secchi, 2018. "Growth volatility and size: A firm-level study," PSE-Ecole d'économie de Paris (Postprint) halshs-01802871, HAL.
    3. Fabio Pieri, 2015. "Vertical organization of production and firm growth behavior," Working Papers 1508, Department of Applied Economics II, Universidad de Valencia.
    4. Fabio Pieri, 2016. "Vertical organization of production and firm growth," DEM Working Papers 2016/01, Department of Economics and Management.
    5. Claudiu Tiberiu Albulescu & Matei Tămășilă & Ilie Mihai Tăucean, 2021. "The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 445-463, September.
    6. Murmann Johann Peter & Korn Jenny & Worch Hagen, 2014. "How Fast Can Firms Grow?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 210-233, April.
    7. Marco Capasso & Elena Cefis & Alessandro Sapio, 2013. "Reconciling quantile autoregressions of firm size and variance–size scaling," Small Business Economics, Springer, vol. 41(3), pages 609-632, October.
    8. Axioglou, Christos & Christodoulakis, Nicos, 2019. "Which firms survive in a crisis? Corporate dynamics in Greece 2001-2014," LSE Research Online Documents on Economics 100401, London School of Economics and Political Science, LSE Library.
    9. Christos Axioglou & Nicos Christodoulakis, 2021. "Which firms survive in a crisis? Investigating Gibrat’s Law in Greece 2001–2014," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(2), pages 159-217, June.

  6. Marco Capasso & Elena Cefis & Koen Frenken, 2009. "Do Some Firms Persistently Outperform ?," LEM Papers Series 2009/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Alex Coad & Werner Hölzl, 2010. "Firm growth: empirical analysis," Papers on Economics and Evolution 2010-02, Philipps University Marburg, Department of Geography.
    2. Cuntz, A.N. & Blind, K., 2010. "Global Diffusion of the Non-Traditional Banking Model and Alliance Networks: Social Exposure, Learning and Moderating Regulatory Effort," ERIM Report Series Research in Management ERS-2010-044-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Daunfeldt, Sven-Olov & Halvarsson, Daniel, 2012. "Are high-growth firms one-hit wonders? Evidence from Sweden," HUI Working Papers 73, HUI Research.
    4. Marco Capasso & Elena Cefis & Alessandro Sapio, 2013. "Reconciling quantile autoregressions of firm size and variance–size scaling," Small Business Economics, Springer, vol. 41(3), pages 609-632, October.
    5. Sven-Olov Daunfeldt & Niklas Elert & Dan Johansson, 2014. "The Economic Contribution of High-Growth Firms: Do Policy Implications Depend on the Choice of Growth Indicator?," Journal of Industry, Competition and Trade, Springer, vol. 14(3), pages 337-365, September.
    6. Bornhäll, Anders & Daunfeldt, Sven-Olov & Rudholm, Niklas, 2013. "Sleeping Gazelles: High Profits but No Growth," HUI Working Papers 91, HUI Research.
    7. Alex Coad & Christina Guenther, 2013. "Diversification patterns and survival as firms mature," Small Business Economics, Springer, vol. 41(3), pages 633-649, October.

  7. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2009. "The distribution of households consumption-expenditure budget shares," Working Paper Series 1061, European Central Bank.

    Cited by:

    1. Joachim Kaldasch, 2012. "Evolutionary Model of the Personal Income Distribution," Papers 1203.6507, arXiv.org.
    2. Mien, Toh Siaw & Said, Rusmawati, 2018. "A Cross-sectional Household Analysis of Household Consumption Patterns: An Indirect Approach to Identify the Possible Factors of Personal Bankruptcy," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 231-246.
    3. Yu, Jian & Shi, Xunpeng & Cheong, Tsun Se, 2021. "Distribution dynamics of China's household consumption upgrading," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 193-203.
    4. Iwona Bak & Beata Szczecinska, 2021. "Economic Aspects of Population Aging. Modeling Senior Household Ependiture," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 50-67.
    5. Stefano Marchetti & Caterina Giusti & Monica Pratesi, 2016. "The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy [Die Nutzung von Twitter Daten um die Small Area Schätzungen vom Ausgabenanteil," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 79-93, October.
    6. Ioannis Kostakis & Dimitrios Paparas & Anna Saiti & Stamatina Papadaki, 2020. "Food Consumption within Greek Households: Further Evidence from a National Representative Sample," Economies, MDPI, vol. 8(1), pages 1-18, February.
    7. Voytenkov, Valentin & Demidova, Olga, 2023. "Impact of COVID-19 on household consumption in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 73-99.

  8. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "Forecasting Large Datasets with Conditionally Heteroskedastic Dynamic Common Factors," Working Papers ECARES 2009_005, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    2. 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.
    3. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    4. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    5. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    6. Marc Hallin & Charles Mathias & Hugues Pirotte & David Veredas, 2011. "Market liquidity as dynamic factors," Working Papers ECARES 163, 42-50, ULB -- Universite Libre de Bruxelles.
    7. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    8. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    9. Julien Chevallier, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Post-Print hal-00991961, HAL.
    10. 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).
    11. 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.
    12. 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.

  9. 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.

    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. 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.
    3. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    4. Xisong Jin & Francisco Nadal De Simone, 2017. "Systemic Financial Sector and Sovereign Risks," BCL working papers 109, Central Bank of Luxembourg.
    5. 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.
    6. Fernando Tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2012. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(69), pages 195-256, December.
    7. Xisong Jin & Francisco Nadal De Simone, 2015. "Investment funds? vulnerabilities: A tail-risk dynamic CIMDO approach," BCL working papers 95, Central Bank of Luxembourg.
    8. Jin, Xisong & Nadal De Simone, Francisco, 2014. "A framework for tracking changes in the intensity of investment funds' systemic risk," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 343-368.
    9. 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.
    10. Travaglini, Guido, 2011. "Principal Components and Factor Analysis. A Comparative Study," MPRA Paper 35486, University Library of Munich, Germany.
    11. Fernando tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2011. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Borradores de Economia 684, Banco de la Republica de Colombia.

  10. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2009. "Estimation and forecasting in large datasets with conditionally heteroskedastic dynamic common factors," Working Paper Series 1115, European Central Bank.

    Cited by:

    1. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    2. 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.
    3. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    4. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    5. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    6. Marc Hallin & Charles Mathias & Hugues Pirotte & David Veredas, 2011. "Market liquidity as dynamic factors," Working Papers ECARES 163, 42-50, ULB -- Universite Libre de Bruxelles.
    7. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    8. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    9. Julien Chevallier, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Post-Print hal-00991961, HAL.
    10. 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).
    11. 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.
    12. 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.
    13. 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.

  11. 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.

    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. 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.
    3. Matteo LUCIANI, "undated". "Monetary Policy and the Housing Market: A Structural Factor Analysis," Working Papers wp2010-7, Department of the Treasury, Ministry of the Economy and of Finance.
    4. 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.
    5. Christian Menden & Christian R. Proaño, 2017. "Dissecting the financial cycle with dynamic factor models," IMK Working Paper 183-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    6. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2012. "Dynamic factor models with macro, frailty and industry effects for US default counts: the credit crisis of 2008," Working Paper Series 1459, European Central Bank.
    8. Gao, Quansheng & Hu, Chengjun, 2009. "Dynamic mortality factor model with conditional heteroskedasticity," Insurance: Mathematics and Economics, Elsevier, vol. 45(3), pages 410-423, December.
    9. Dzhamilya Abuzyarova & Veronika Belousova & Zhaklin Krayushkina & Yulia Lonshcikova & Ekaterina Nikiforova & Nikolay Chichkanov, 2019. "The Role of Human Capital in Science, Technology and Innovation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(2), pages 107-119.
    10. Pallara, Kevin, 2016. "The dynamic effects of government spending: a FAVAR approach," MPRA Paper 92283, University Library of Munich, Germany.
    11. Mr. Francisco d Nadal De Simone & Alain N. Kabundi, 2007. "France in the Global Economy: A Structural Approximate Dynamic Factor Model Analysis," IMF Working Papers 2007/129, International Monetary Fund.
    12. Alain Kabundi & Tumisang Loate & Nicola Viegi, 2020. "Spillovers of the Conventional and Unconventional Monetary Policy from the US to South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 435-471, December.
    13. Fernando Tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2012. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(69), pages 195-256, December.
    14. 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).
    15. Le, Vu & Wang, Qing, 2014. "Robust thresholding for Diffusion Index forecast," Economics Letters, Elsevier, vol. 125(1), pages 52-56.
    16. Vedolin, Andrea, 2012. "Uncertainty and leveraged Lucas Trees: the cross section of equilibrium volatility risk premia," LSE Research Online Documents on Economics 43091, London School of Economics and Political Science, LSE Library.
    17. Fernando tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2011. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Borradores de Economia 684, Banco de la Republica de Colombia.
    18. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.
    19. Mohan Subbiah & Frank J Fabozzi, 2016. "Equity style allocation: A nonparametric approach," Journal of Asset Management, Palgrave Macmillan, vol. 17(3), pages 141-164, May.

  12. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2008. "A review of nonfundamentalness and identification in structural VAR models," Working Paper Series 922, European Central Bank.

    Cited by:

    1. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    2. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    3. Helmut Lütkepohl, 2012. "Fundamental Problems with Nonfundamental Shocks," Discussion Papers of DIW Berlin 1230, DIW Berlin, German Institute for Economic Research.
    4. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2009. "Dynamic macroeconomic effects of public capital: evidence from regional Italian data," Temi di discussione (Economic working papers) 733, Bank of Italy, Economic Research and International Relations Area.
    5. Lanne, Markku & Saikkonen, Pentti, 2009. "Noncausal vector autoregression," Bank of Finland Research Discussion Papers 18/2009, Bank of Finland.
    6. Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," Papers 2306.14653, arXiv.org, revised Jan 2024.
    7. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    8. Fève, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," TSE Working Papers 12-287, Toulouse School of Economics (TSE).
    9. Johannes Hermanus Kemp, 2020. "Empirical estimates of fiscal multipliers for South Africa," WIDER Working Paper Series wp-2020-91, World Institute for Development Economic Research (UNU-WIDER).

  13. Marco Capasso & Lucia Alessi & Matteo Barigozzi & Giorgio Fagiolo, 2007. "On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: The case of unknown parameters," LEM Papers Series 2007/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Matthias Duschl & Thomas Brenner, 2013. "Characteristics of regional industry-specific employment growth rates' distributions," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 249-270, June.
    2. Giuricich, Mario Nicoló & Burnecki, Krzysztof, 2019. "Modelling of left-truncated heavy-tailed data with application to catastrophe bond pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 498-513.
    3. 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.
    4. Lunardi, José T. & Miccichè, Salvatore & Lillo, Fabrizio & Mantegna, Rosario N. & Gallegati, Mauro, 2014. "Do firms share the same functional form of their growth rate distribution? A statistical test," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 140-164.
    5. Iván Blanco, Juan Ignacio Peña, and Rosa Rodriguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).

  14. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2007. "On the distributional properties of household consumption expenditures. The case of Italy," LEM Papers Series 2007/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Mundt, Philipp & Oh, Ilfan, 2019. "Asymmetric competition, risk, and return distribution," Economics Letters, Elsevier, vol. 179(C), pages 29-32.
    2. Scharfenaker, Ellis, 2020. "Implications of quantal response statistical equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    3. Matteo Barigozzi & Biagio Speciale, 2009. "Immigrant’s legal status, permanence in the destination country and the distribution of consumption expenditure," Working Papers ECARES 2009_019, ULB -- Universite Libre de Bruxelles.
    4. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2019. "Exploiting ergodicity in forecasts of corporate profitability," BERG Working Paper Series 147, Bamberg University, Bamberg Economic Research Group.
    5. Irle, Albrecht & Milaković, Mishael & Alfarano, Simone & Kauschke, Jonas, 2008. "A Statistical Equilibrium Model of Competitive Firms," Economics Working Papers 2008-10, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Arnab Chatterjee & Anindya S. Chakrabarti & Asim Ghosh & Anirban Chakraborti & Tushar K. Nandi, 2015. "Invariant features of spatial inequality in consumption: the case of India," Papers 1507.04236, arXiv.org, revised Sep 2015.
    7. 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.
    8. David S. Bieri & Casey J. Dawkins, 2019. "Amenities, affordability, and housing vouchers," Journal of Regional Science, Wiley Blackwell, vol. 59(1), pages 56-82, January.
    9. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    10. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.
    11. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.

  15. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "A Dynamic Factor Analysis of Business Cycle on Firm-Level Data," LEM Papers Series 2006/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Antonio Palestrini, 2008. "Common Components in Firms' Growth and the Sectors Scaling Puzzle," Economics Bulletin, AccessEcon, vol. 12(35), pages 1-8.
    2. Gallegati, M. & Palestrini, A., 2010. "The complex behavior of firms' size dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 69-76, July.

  16. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Generalized Dynamic Factor Model + GARCH Exploiting Multivariate Information for Univariate Prediction," LEM Papers Series 2006/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    2. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Dynamic Factor GARCH: Multivariate Volatility Forecast for a Large Number of Series," LEM Papers Series 2006/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.

  17. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Dynamic Factor GARCH: Multivariate Volatility Forecast for a Large Number of Series," LEM Papers Series 2006/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Lasse Bork & Hans Dewachter & Romain Houssa, 2009. "Identification of Macroeconomic Factors in Large Panels," CREATES Research Papers 2009-43, Department of Economics and Business Economics, Aarhus University.
    2. 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.
    3. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    5. Gao, Quansheng & Hu, Chengjun, 2009. "Dynamic mortality factor model with conditional heteroskedasticity," Insurance: Mathematics and Economics, Elsevier, vol. 45(3), pages 410-423, December.
    6. García-Ferrer, Antonio & González-Prieto, Ester & Peña, Daniel, 2008. "A multivariate generalized independent factor GARCH model with an application to financial stock returns," DES - Working Papers. Statistics and Econometrics. WS ws087528, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.
    8. García-Ferrer, Antonio & González-Prieto, Ester & Peña, Daniel, 2012. "A conditionally heteroskedastic independent factor model with an application to financial stock returns," International Journal of Forecasting, Elsevier, vol. 28(1), pages 70-93.

Articles

  1. Marco Capasso, 2021. "Degrowth or Green Growth: A Reflection on the Recent Public Discourse in Norway," Sustainability, MDPI, vol. 13(2), pages 1-15, January.

    Cited by:

    1. Wujie Zhang & Fu Gu, 2021. "Towards Micro-Level Green Growth: A Framework to Recognize Corporate Growth Status, Path and Adopt Eco-Innovations," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    2. Ronzon, Tévécia & Iost, Susanne & Philippidis, George, 2022. "An output-based measurement of EU bioeconomy services: Marrying statistics with policy insight," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 290-301.

  2. Marco Capasso & Antje Klitkou, 2020. "Socioeconomic Indicators to Monitor Norway’s Bioeconomy in Transition," Sustainability, MDPI, vol. 12(8), pages 1-28, April.

    Cited by:

    1. Michaela Perunová & Jarmila Zimmermannová, 2022. "Analysis of forestry employment within the bioeconomy labour market in the Czech Republic," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(10), pages 385-394.
    2. Philippidis, George & M'Barek, Robert & Urban-Boysen, Kirsten & Van Zeist, Willem-Jan, 2023. "Exploring economy-wide sustainable conditions for EU bio-chemical activities," Ecological Economics, Elsevier, vol. 210(C).
    3. Idiano D’Adamo & Pasquale Marcello Falcone & Enrica Imbert & Piergiuseppe Morone, 2022. "Exploring regional transitions to the bioeconomy using a socio-economic indicator: the case of Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 989-1021, October.
    4. Baldoni, Edoardo & Philippidis, George & Spekreijse, Jurjen & Gurría, Patricia & Lammens, Tijs & Parisi, Claudia & Ronzon, Tévécia & Vis, Martijn & M'Barek, Robert, 2021. "Getting your hands dirty: A data digging exercise to unearth the EU's bio-based chemical sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    5. Brödner, Romy & Graffenberger, Martin & Kropp, Per & Sujata, Uwe, 2021. "Beschäftigungsstrukturen und Potenziale der Bioökonomie in den deutschen Braunkohlerevieren," IAB-Discussion Paper 202114, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Ronzon, Tévécia & Iost, Susanne & Philippidis, George, 2022. "An output-based measurement of EU bioeconomy services: Marrying statistics with policy insight," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 290-301.
    7. Wiebke Jander & Sven Wydra & Johann Wackerbauer & Philipp Grundmann & Stephan Piotrowski, 2020. "Monitoring Bioeconomy Transitions with Economic–Environmental and Innovation Indicators: Addressing Data Gaps in the Short Term," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    8. Maximilian Kardung & Kutay Cingiz & Ortwin Costenoble & Roel Delahaye & Wim Heijman & Marko Lovrić & Myrna van Leeuwen & Robert M’Barek & Hans van Meijl & Stephan Piotrowski & Tévécia Ronzon & Johanne, 2021. "Development of the Circular Bioeconomy: Drivers and Indicators," Sustainability, MDPI, vol. 13(1), pages 1-24, January.
    9. Tévécia Ronzon & Stephan Piotrowski & Saulius Tamosiunas & Lara Dammer & Michael Carus & Robert M’barek, 2020. "Developments of Economic Growth and Employment in Bioeconomy Sectors across the EU," Sustainability, MDPI, vol. 12(11), pages 1-13, June.

  3. Marco Capasso & Eric James Iversen & Antje Klitkou & Tore Sandven, 2019. "Which region to choose for an industrial policy? A research path to highlight restructuring opportunities," European Planning Studies, Taylor & Francis Journals, vol. 27(8), pages 1461-1482, August.

    Cited by:

    1. Alexander Vaninsky, 2021. "Multiobjective restructuring aimed at green economic growth," Environment Systems and Decisions, Springer, vol. 41(1), pages 110-130, March.

  4. Capasso, Marco & Hansen, Teis & Heiberg, Jonas & Klitkou, Antje & Steen, Markus, 2019. "Green growth – A synthesis of scientific findings," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 390-402.

    Cited by:

    1. Ge, Yongbo & Zhu, Yuexiao, 2022. "Boosting green recovery: Green credit policy in heavily polluted industries and stock price crash risk," Resources Policy, Elsevier, vol. 79(C).
    2. Enrico Bergamini & Georg Zachmann, 2020. "Exploring EU’s Regional Potential in Low-Carbon Technologies," Sustainability, MDPI, vol. 13(1), pages 1-28, December.
    3. Katarzyna Cheba & Iwona Bąk, 2021. "Environmental Production Efficiency in the European Union Countries as a Tool for the Implementation of Goal 7 of the 2030 Agenda," Energies, MDPI, vol. 14(15), pages 1-19, July.
    4. Boris Raj Borgohain & Krishna Kumar Singh, 2022. "An Empirical Analysis Using Machine Learning to Identify Features Influencing the Green Economy of India," Jindal Journal of Business Research, , vol. 11(1), pages 7-23, June.
    5. Zhou, Guangyou & Zhu, Jieyu & Luo, Sumei, 2022. "The impact of fintech innovation on green growth in China: Mediating effect of green finance," Ecological Economics, Elsevier, vol. 193(C).
    6. Yali Yi & Pelin Demirel, 2023. "The impact of sustainability‐oriented dynamic capabilities on firm growth: Investigating the green supply chain management and green political capabilities," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5873-5888, December.
    7. Rodríguez-Pose, Andrés & Bartalucci, Federico, 2023. "Regional vulnerability to the green transition," Single Market Economics Papers WP2023/16, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs (European Commission), Chief Economist Team.
    8. Song, Yang & Zhang, Zhiyuan & Sahut, Jean-Michel & Rubin, Ofir, 2023. "Incentivizing green technology innovation to confront sustainable development," Technovation, Elsevier, vol. 126(C).
    9. Ailinca Alina Georgeta, 2023. "Indicators Of Green Growth As Supporters For Economic Growth - An Empirical Analysis At The Eu27 Level," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 62-68, June.
    10. Xu, Xiaoying, 2022. "The impact of natural resources on green growth: The role of green trade," Resources Policy, Elsevier, vol. 78(C).
    11. Giuseppe Calignano & Michaela Trippl, 2020. "Innovation-Driven or Challenge-Driven Participation in International Energy Innovation Networks? Empirical Evidence from the H2020 Programme," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    12. Marinus Ossewaarde & Roshnee Ossewaarde-Lowtoo, 2020. "The EU’s Green Deal: A Third Alternative to Green Growth and Degrowth?," Sustainability, MDPI, vol. 12(23), pages 1-15, November.
    13. Losacker, Sebastian & Hansmeier, Hendrik & Horbach, Jens & Liefner, Ingo, 2021. "The geography of environmental innovation: A critical review and agenda for future research," Papers in Innovation Studies 2021/15, Lund University, CIRCLE - Centre for Innovation Research.
    14. Rodríguez-Pose, Andrés & Bartalucci, Federico, 2023. "The green transition and its potential territorial discontents," LSE Research Online Documents on Economics 120536, London School of Economics and Political Science, LSE Library.
    15. Cristina I. Fernandes & Pedro Mota Veiga & João J.M. Ferreira & Mathew Hughes, 2021. "Green growth versus economic growth: Do sustainable technology transfer and innovations lead to an imperfect choice?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2021-2037, May.
    16. Beata Gavurova & Silvia Megyesiova & Matej Hudak, 2021. "Green Growth in the OECD Countries: A Multivariate Analytical Approach," Energies, MDPI, vol. 14(20), pages 1-20, October.
    17. Jin, Cheng & Luo, Shuangshuang & Sun, Kehan, 2023. "Energy Resources trade and investments for green growth: The case of Countries in the Asia-Pacific Economic Cooperation," Resources Policy, Elsevier, vol. 82(C).
    18. Sabrina Bresciani & Francesca Rizzo & Alessandro Deserti, 2022. "Toward a Comprehensive Framework of Social Innovation for Climate Neutrality: A Systematic Literature Review from Business/Production, Public Policy, Environmental Sciences, Energy, Sustainability and," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    19. Mohamed Ali Shabeeb Ali & Mohammed Abdullah Ammer & Ibrahim A. Elshaer, 2023. "Born to Be Green: Antecedents of Green Entrepreneurship Intentions among Higher Education Students," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    20. Aldieri, Luigi & Bruno, Bruna & Lorente, Daniel Balsalobre & Paolo Vinci, Concetto, 2022. "Environmental innovation, climate change and knowledge diffusion process: How can spillovers play a role in the goal of sustainable economic performance?," Resources Policy, Elsevier, vol. 79(C).
    21. Ning Geng & Zengjin Liu & Xuejiao Wang & Lin Meng & Jiayan Pan, 2022. "Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    22. Chuku Chuku & Victor Ajayi, 2022. "Working Paper 363 - Growing Green: Enablers and Barriers for Africa," Working Paper Series 2489, African Development Bank.
    23. Xinyu Zhuang & Xin Li & Yisong Xu, 2022. "How Can Resource-Exhausted Cities Get Out of “The Valley of Death”? An Evaluation Index System and Obstacle Degree Analysis of Green Sustainable Development," IJERPH, MDPI, vol. 19(24), pages 1-29, December.

  5. Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2018. "Causal relations between knowledge-intensive business services and regional employment growth," Regional Studies, Taylor & Francis Journals, vol. 52(2), pages 172-183, February.
    See citations under working paper version above.
  6. Marco Capasso & Elena Cefis & Koen Frenken, 2016. "Spatial Differentiation in Industrial Dynamics. The Case of the Netherlands (1994–2005)," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(3), pages 316-330, July.

    Cited by:

    1. Ewa Rollnik-Sadowska & Marta Jarocka & Edyta Dabrowska, 2020. "Diversity of Regional Labour Markets in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 33-51.
    2. Tang, Zhipeng & Yu, Haojie & Zou, Jialing, 2023. "Neighbor impacts of environmental regulation: The case of low-carbon pilot program in China," Energy, Elsevier, vol. 276(C).

  7. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    See citations under working paper version above.
  8. Marco Capasso & Elena Cefis & Koen Frenken, 2014. "On the existence of persistently outperforming firms," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 23(4), pages 997-1036.

    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Coad, Alex & Daunfeldt, Sven-Olov & Halvarsson, Daniel, 2015. "Bursting into life: Firm growth and growth persistence by age," HUI Working Papers 112, HUI Research.
    3. Guilherme Fowler A. Monteiro & Adriana Bruscato Bortoluzzo & Pedro Lipkin P. Rosa, 2021. "Is there heterogeneity among persistent high‐growth firms?," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2272-2292, December.
    4. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    5. Daniele Moschella & Federico Tamagni & Xiaodan Yu, 2017. "Persistent high-growth firms in China's manufacturing," LEM Papers Series 2017/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Ramy El-Dardiry & Benedikt Vogt, 2022. "How far Do gazelles run? Growth Patterns of Regular Firms, High Growth Firms and Startups," CPB Discussion Paper 432, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Alex Coad & Sven-Olov Daunfeldt & Daniel Halvarsson, 2022. "Amundsen versus Scott: are growth paths related to firm performance?," Small Business Economics, Springer, vol. 59(2), pages 593-610, August.
    8. Stefano Bianchini & Gabriele Pellegrino, 2019. "Innovation persistence and employment dynamics," Post-Print hal-02312454, HAL.
    9. Florian Léon, 2022. "The elusive quest for high-growth firms in Africa: when other metrics of performance say nothing," Small Business Economics, Springer, vol. 58(1), pages 225-246, January.
    10. Florian Leon, 2019. "The elusive quest for high- growth firms in Africa: The (lack of) growth persistence in Senegal," Working Papers hal-02493326, HAL.
    11. Silviano Esteve-Pérez & Fabio Pieri & Diego Rodriguez, 2022. "One swallow does not make a summer: episodes and persistence in high growth," Small Business Economics, Springer, vol. 58(3), pages 1517-1544, March.
    12. Kang, Taewon & Baek, Chulwoo & Lee, Jeong-Dong, 2019. "Effects of knowledge accumulation strategies through experience and experimentation on firm growth," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 169-181.
    13. Gjerløv-Juel, Pernille & Guenther, Christina, 2019. "Early employment expansion and long-run survival," Journal of Business Venturing, Elsevier, vol. 34(1), pages 80-102.
    14. Yan Chen & Michael Song, 2022. "The persistence and dynamics of new venture growth," Small Business Economics, Springer, vol. 58(1), pages 303-322, January.
    15. Annie Royer & Josée St-Pierre, 2020. "Facteurs qui entravent ou facilitent l’expansion des PME en croissance rapide de l’industrie bioalimentaire," CIRANO Project Reports 2020rp-37, CIRANO.
    16. Lucio Morettini & Bianca Potì & Roberto Gabriele, 2023. "Process and strategies of growth in medium-sized fast-growing firms," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 605-626, September.
    17. Marco Capasso & Marina Rybalka, 2022. "Innovation Pattern Heterogeneity: Data-Driven Retrieval of Firms’ Approaches to Innovation," Businesses, MDPI, vol. 2(1), pages 1-28, March.
    18. Marco Capasso & Elena Cefis & Koen Frenken, 2016. "Spatial Differentiation in Industrial Dynamics. The Case of the Netherlands (1994–2005)," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(3), pages 316-330, July.
    19. Alex Coad, 2022. "Lumps, Bumps and Jumps in the Firm Growth Process," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 18(4), pages 212-267, April.
    20. Alex Coad & Marc Cowling & Josh Siepel, 2017. "Growth processes of high-growth firms as a four-dimensional chicken and egg," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 537-554.
    21. Justin Doran & Bernard Fingleton, 2018. "US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation," Environment and Planning A, , vol. 50(1), pages 111-132, February.
    22. Hyunseog Chung & Soomin Eum & Chulung Lee, 2019. "Firm Growth and R&D in the Korean Pharmaceutical Industry," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    23. Nidal A. Darwish, 2022. "High-Growth Entrepreneurial Firms in Extreme Context: The Case of Palestine," Businesses, MDPI, vol. 2(4), pages 1-15, October.

  9. Marco Capasso & Lucia Cusmano & Andrea Morrison, 2013. "The Determinants of Outsourcing and Offshoring Strategies in Industrial Districts: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 47(4), pages 465-479, April.

    Cited by:

    1. Orti Baquerizo, Javier, 2017. "¿Por qué las Pymes externalizan sus tareas contables y fiscales?," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 1(1), pages 71-87, July.
    2. Ahlfeldt, Gabriel & Holman, Nancy, 2016. "Distinctively Different: A New Approach to Valuing Architectural Amenities," CEPR Discussion Papers 11439, C.E.P.R. Discussion Papers.
    3. Ida D'Attoma & Silvia Pacei, 2014. "Offshoring and Firm Performance: Evidence from the Italian Manufacturing Industry," Review of Development Economics, Wiley Blackwell, vol. 18(1), pages 29-44, February.
    4. Emah Patrick Etokudoh & Mehraz Boolaky & Mridula Gungaphul, 2017. "Third Party Logistics Outsourcing: An Exploratory Study of the Oil and Gas Industry in Nigeria," SAGE Open, , vol. 7(4), pages 21582440177, October.
    5. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhang, Liyun, 2021. "Importing, outsourcing and pollution offshoring," Energy Economics, Elsevier, vol. 103(C).
    6. Amendolagine, Vito & Capolupo, Rosa & Ferri, Giovanni, 2014. "Innovativeness, offshoring and black economy decisions. Evidence from Italian manufacturing firms," International Business Review, Elsevier, vol. 23(6), pages 1153-1166.
    7. Guanyu Lu & Taisuke Sadayuki & Toshi H Arimura, 2023. "Does Emissions Trading Scheme Induce Innovation and Carbon Leakage? Evidence from Japan," Working Papers 2217, Waseda University, Faculty of Political Science and Economics.
    8. Bettiol, Marco & Burlina, Chiara & Chiarvesio, Maria & Di Maria, Eleonora, 2017. "From Delocalisation to Backshoring? Evidence from Italian Industrial Districts," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 39, pages 137-154.

  10. 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.

    Cited by:

    1. Stella, Andrea, 2015. "Firm dynamics and the origins of aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 71-88.
    2. Juan Federico & Joan-Lluis Capelleras, 2015. "The heterogeneous dynamics between growth and profits: the case of young firms," Small Business Economics, Springer, vol. 44(2), pages 231-253, February.
    3. Fornaro, Paolo, 2016. "Predicting Finnish economic activity using firm-level data," International Journal of Forecasting, Elsevier, vol. 32(1), pages 10-19.

  11. Marco Capasso & Elena Cefis & Alessandro Sapio, 2013. "Reconciling quantile autoregressions of firm size and variance–size scaling," Small Business Economics, Springer, vol. 41(3), pages 609-632, October.

    Cited by:

    1. Gert Bijnens & Jozef Konings, 2018. "Declining Business Dynamism in Belgium," Working Papers 20181, University of Liverpool, Department of Economics.
    2. Fabio Pieri, 2015. "Vertical organization of production and firm growth behavior," Working Papers 1508, Department of Applied Economics II, Universidad de Valencia.
    3. Fabio Pieri, 2016. "Vertical organization of production and firm growth," DEM Working Papers 2016/01, Department of Economics and Management.
    4. Marco Ferretti & Salvatore Ferri & Raffaele Fiorentino & Adele Parmentola & Alessandro Sapio, 2019. "Neither absent nor too present: the effects of the engagement of parent universities on the performance of academic spin-offs," Small Business Economics, Springer, vol. 52(1), pages 153-173, January.
    5. Cosimo Abbate & Alessandro Sapio, 2016. "Gazelles and muppets in the City: Stock market listing, risk sharing, and firm growth quantiles," LEM Papers Series 2016/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    7. Daan Freeman & Leon Bettendorf & Harro van Heuvelen & Gerdien Meijerink, 2021. "The contribution of business dynamics to productivity growth in the Netherlands," CPB Discussion Paper 427, CPB Netherlands Bureau for Economic Policy Analysis.

  12. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.
    See citations under working paper version above.
  13. Marco Capasso & Elena Cefis, 2012. "Firm Size and Growth Rate Variance: The Effects of Data Truncation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 41(3), pages 193-205, November.
    See citations under working paper version above.
  14. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2011. "Non‐Fundamentalness in Structural Econometric Models: A Review," International Statistical Review, International Statistical Institute, vol. 79(1), pages 16-47, April.

    Cited by:

    1. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    2. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    3. Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    4. Soccorsi, Stefano, 2016. "Measuring nonfundamentalness for structural VARs," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
    5. Hecq, A.W. & Lieb, L.M. & Telg, J.M.A., 2015. "Identification of Mixed Causal-Noncausal Models : How Fat Should We Go?," Research Memorandum 035, Maastricht University, Graduate School of Business and Economics (GSBE).
    6. 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".
    7. Pellényi, Gábor, 2012. "A monetáris politika hatása a magyar gazdaságra. Elemzés strukturális, dinamikus faktormodellel [The sectoral effects of monetary policy in Hungary: a structural factor]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 263-284.
    8. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    10. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Francesco Giancaterini & Alain Hecq, 2020. "Inference in mixed causal and noncausal models with generalized Student's t-distributions," Papers 2012.01888, arXiv.org, revised Nov 2022.
    12. Ellahie, Atif & Ricco, Giovanni, 2017. "Government Purchases Reloaded : Informational Insufficiency and Heterogeneity in Fiscal VARs," Economic Research Papers 269308, University of Warwick - Department of Economics.
    13. 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.
    14. Ricco, Giovanni & Ellahie, Atif, 2012. "Government Spending Reloaded: Fundamentalness and Heterogeneity in Fiscal SVARs," MPRA Paper 42105, University Library of Munich, Germany.
    15. Lof, Matthijs, 2011. "Noncausality and Asset Pricing," MPRA Paper 30519, University Library of Munich, Germany.
    16. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.
    17. Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
    18. Lanne, Markku & Saikkonen, Pentti, 2009. "Noncausal vector autoregression," Bank of Finland Research Discussion Papers 18/2009, Bank of Finland.
    19. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
    20. Berner, Anne & Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," University of Göttingen Working Papers in Economics 422, University of Goettingen, Department of Economics.
    21. Weifeng Jin, 2023. "Quantile Autoregression-based Non-causality Testing," Papers 2301.02937, arXiv.org.
    22. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    23. J. Baron & J. Schmidt, 2014. "Technological Standardization, Endogenous Productivity and Transitory Dynamics," Working papers 503, Banque de France.
    24. Fève, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," TSE Working Papers 12-287, Toulouse School of Economics (TSE).
    25. Lobato, Ignacio N. & Velasco, Carlos, 2018. "Efficiency improvements for minimum distance estimation of causal and invertible ARMA models," Economics Letters, Elsevier, vol. 162(C), pages 150-152.
    26. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    27. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    28. Hecq, Alain & Issler, João Victor & Telg, Sean, 2017. "Mixed Causal-Noncausal Autoregressions with Strictly Exogenous Regressors," MPRA Paper 80767, University Library of Munich, Germany.
    29. Kang, Jihye & Kim, Soyoung, 2022. "Government spending news and surprise shocks: It’s the timing and persistence," Journal of Macroeconomics, Elsevier, vol. 73(C).
    30. 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.
    31. Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
    32. Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
    33. Nikolay Iskrev, 2021. "Spectral decomposition of the information about latent variables in dynamic macroeconomic models," Working Papers w202105, Banco de Portugal, Economics and Research Department.
    34. Alain Hecq & Sean Telg & Lenard Lieb, 2017. "Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?," Econometrics, MDPI, vol. 5(4), pages 1-22, October.
    35. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.
    36. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
    37. Martin Hodula & Lukas Pfeifer, 2018. "The Impact of Credit Booms and Economic Policy on Labour Productivity: A Sectoral Analysis," ACTA VSFS, University of Finance and Administration, vol. 12(1), pages 10-42.
    38. Nyholm, Juho, 2017. "Residual-based diagnostic tests for noninvertible ARMA models," MPRA Paper 81033, University Library of Munich, Germany.

  15. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2010. "Improved penalization for determining the number of factors in approximate factor models," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1806-1813, December.

    Cited by:

    1. Leu, Shawn C.-Y. & Robertson, Mari L., 2021. "Mortgage credit volumes and monetary policy after the Great Recession," Economic Modelling, Elsevier, vol. 94(C), pages 483-500.
    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. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    4. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2013. "Forecasting the US Real Private Residential Fixed Investment Using Large Number of Predictors," Working Papers 201348, University of Pretoria, Department of Economics.
    5. 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.
    6. 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.
    7. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Matteo Barigozzi & Daniele Massacci, 2022. "Modelling Large Dimensional Datasets with Markov Switching Factor Models," Papers 2210.09828, arXiv.org, revised Dec 2023.
    9. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    10. Afanasyeva, Elena & Güntner, Jochen, 2014. "Lending standards, credit booms and monetary policy," IMFS Working Paper Series 85, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    11. Pietro Dallari & Antonio Ribba, 2015. "Dynamic Factor Models with In nite-Dimensional Factor Space: Asymptotic Analysis," Center for Economic Research (RECent) 115, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    12. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    13. Matteo LUCIANI, "undated". "Monetary Policy and the Housing Market: A Structural Factor Analysis," Working Papers wp2010-7, Department of the Treasury, Ministry of the Economy and of Finance.
    14. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    15. Barigozzi, Matteo & Conti, Antonio & Luciani, Matteo, 2012. "Do Euro area countries respond asymmetrically to the common monetary policy?," LSE Research Online Documents on Economics 43344, London School of Economics and Political Science, LSE Library.
    16. Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2020. "Deep Dynamic Factor Models," Papers 2007.11887, arXiv.org, revised May 2023.
    17. 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.
    18. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    19. 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.
    20. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2020. "Macroeconomic forecasting using approximate factor models with outliers," International Journal of Forecasting, Elsevier, vol. 36(2), pages 267-291.
    21. Alain Kabundi & Deniz Igan & Francisco N. de Simone & Natalia Tamirisa, 2013. "Monetary Policy and Balance Sheets," Working Papers 364, Economic Research Southern Africa.
    22. Bai, Jushan & Liao, Yuan, 2012. "Efficient Estimation of Approximate Factor Models," MPRA Paper 41558, University Library of Munich, Germany.
    23. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2016. "Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1511-1543.
    24. 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.
    25. Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
    26. Julien Chevallier & Florian Ielpo & Ling-Ni Boon, 2013. "Common risk factors in commodities," Economics Bulletin, AccessEcon, vol. 33(4), pages 2801-2816.
    27. Nathan Bedock & Dalibor Stevanovic, 2012. "An Empirical Study of Credit Shock Transmission in a Small Open Economy," CIRANO Working Papers 2012s-16, CIRANO.
    28. Panagiotidis, Theodore & Printzis, Panagiotis, 2020. "What is the investment loss due to uncertainty?," Global Finance Journal, Elsevier, vol. 45(C).
    29. Nagayasu, Jun, 2015. "Global and country-specific factors in real effective exchange rates," MPRA Paper 64217, University Library of Munich, Germany.
    30. Alessia Paccagnini, 2017. "Forecasting with FAVAR: macroeconomic versus financial factors," NBP Working Papers 256, Narodowy Bank Polski.
    31. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    32. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    33. Massacci, Daniele, 2017. "Least squares estimation of large dimensional threshold factor models," Journal of Econometrics, Elsevier, vol. 197(1), pages 101-129.
    34. 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.
    35. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    36. 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".
    37. Oualid Bada & Alois Kneip & Dominik Liebl & Tim Mensinger & James Gualtieri & Robin C. Sickles, 2021. "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters," Papers 2109.10950, arXiv.org.
    38. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    39. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    40. Matteo Barigozzi & Lorenzo Trapani, 2018. "Sequential testing for structural stability in approximate factor models," Discussion Papers 18/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    41. Gupta, Rangan & Modise, Mampho P., 2013. "Macroeconomic Variables and South African Stock Return Predictability," Economic Modelling, Elsevier, vol. 30(C), pages 612-622.
    42. González-Rivera, Gloria & Ruiz Ortega, Esther & Maldonado, Javier, 2018. "Growth in Stress," DES - Working Papers. Statistics and Econometrics. WS 26623, Universidad Carlos III de Madrid. Departamento de Estadística.
    43. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    44. 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.
    45. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    46. Rangan Gupta & Faaiqa Hartley, 2013. "The Role of Asset Prices in Forecasting Inflation and Output in South Africa," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(3), pages 239-291, December.
    47. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    48. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
    49. 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.
    50. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 7-23, February.
    51. Jianqing Fan & Yuan Liao & Han Liu, 2016. "An overview of the estimation of large covariance and precision matrices," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 1-32, February.
    52. Fernando Nascimento de Oliveira & Wagner Piazza Gaglianone, 2020. "Expectations anchoring indexes for Brazil using Kalman filter: Exploring signals of inflation anchoring in the long term," International Economics, CEPII research center, issue 163, pages 72-91.
    53. 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).
    54. 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.
    55. Franz Ruch & Mehmet Balcilar Author-Name-First Mehmet & Mampho P. Modise & Rangan Gupta, 2015. "Forecasting Core Inflation: The Case of South Africa," Working Papers 15-08, Eastern Mediterranean University, Department of Economics.
    56. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Working Papers ECARES 2023-15, ULB -- Universite Libre de Bruxelles.
    57. Lorenzo Boldrini & Eric Hillebrand, 2015. "Supervision in Factor Models Using a Large Number of Predictors," CREATES Research Papers 2015-38, Department of Economics and Business Economics, Aarhus University.
    58. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    59. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    60. Carlos Vladimir Rodríguez-Caballero & Massimiliano Caporin, 2018. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," CREATES Research Papers 2018-33, Department of Economics and Business Economics, Aarhus University.
    61. Jeroen V.K. Rombouts & Jakob Guldbæk Mikkelsen, 2017. "Testing for time-varying loadings in dynamic factor models," CREATES Research Papers 2017-22, Department of Economics and Business Economics, Aarhus University.
    62. Adel Bosch & Franz Ruch, 2012. "An Alternative Business Cycle Dating Procedure for South Africa," Working Papers 5210, South African Reserve Bank.
    63. 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.
    64. Aboura, Sofiane & Chevallier, Julien, 2015. "Geographical diversification with a World Volatility Index," Journal of Multinational Financial Management, Elsevier, vol. 30(C), pages 62-82.
    65. Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
    66. Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
    67. In Choi & Rui Lin & Yongcheol Shin, 2020. "Canonical Correlation-based Model Selection for the Multilevel Factors," Working Papers 2008, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    68. Barigozzi, Matteo & Hallin, Mark, 2015. "Generalized dynamic factor models and volatilities: recovering the market volatility shocks," LSE Research Online Documents on Economics 60980, London School of Economics and Political Science, LSE Library.
    69. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    70. Corona, Francisco & Orraca, Pedro, 2016. "Remittances in Mexico and their unobserved components," DES - Working Papers. Statistics and Econometrics. WS 22674, Universidad Carlos III de Madrid. Departamento de Estadística.
    71. Kyle E. Binder & Mohsen Pourahmadi & James W. Mjelde, 2020. "The role of temporal dependence in factor selection and forecasting oil prices," Empirical Economics, Springer, vol. 58(3), pages 1185-1223, March.
    72. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2011. "One-Sided Representations of Generalized Dynamic Factor Models," EIEF Working Papers Series 1106, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2011.
    73. Nombulelo Gumata & Alain Kabundi & Eliphas Ndou, 2013. "Important channels of transmission of monetary policy shock in South Africa," Working Papers 6021, South African Reserve Bank.
    74. Proietti, Tommaso & Giovannelli, Alessandro & Ricchi, Ottavio & Citton, Ambra & Tegami, Christían & Tinti, Cristina, 2021. "Nowcasting GDP and its components in a data-rich environment: The merits of the indirect approach," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1376-1398.
    75. Ruiz Ortega, Esther & Poncela, Pilar, 2015. "Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment," DES - Working Papers. Statistics and Econometrics. WS ws1502, Universidad Carlos III de Madrid. Departamento de Estadística.
    76. Julien Chevallier & Sofiane Aboura, 2014. "Cross-market index with Factor-DCC," Post-Print hal-01531234, HAL.
    77. Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by time-varying FAVAR," Post-Print hal-03714934, HAL.
    78. Rangan Gupta & Mampho P. Modise & Josine Uwilingiye, 2011. "Out-of-Sample Equity Premium Predictability in South Africa: Evidence from a Large Number of Predictors," Working Papers 201122, University of Pretoria, Department of Economics.
    79. Ergemen, Yunus Emre & Haldrup, Niels & Rodríguez-Caballero, Carlos Vladimir, 2016. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," Energy Economics, Elsevier, vol. 60(C), pages 79-96.
    80. Paolo Andreini & Donato Ceci, 2019. "A Horse Race in High Dimensional Space," CEIS Research Paper 452, Tor Vergata University, CEIS, revised 14 Feb 2019.
    81. Kevin Sheppard & Wen Xu, 2019. "Factor High-Frequency-Based Volatility (HEAVY) Models," Journal of Financial Econometrics, Oxford University Press, vol. 17(1), pages 33-65.
    82. 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.
    83. Simon Freyaldenhoven, 2021. "Factor Models with Local Factors—Determining the Number of Relevant Factors," Working Papers 21-15, Federal Reserve Bank of Philadelphia.
    84. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
    85. Sofiane Aboura & Julien Chevallier, 2015. "A cross-volatility index for hedging the country risk," Post-Print hal-01529742, HAL.
    86. Aboura, Sofiane & Chevallier, Julien, 2017. "A new weighting-scheme for equity indexes," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 159-175.
    87. Sebastian Linde, 2023. "Hospital cost efficiency: an examination of US acute care inpatient hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 325-344, September.
    88. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    89. Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
    90. Gu, Shihao & Kelly, Bryan & Xiu, Dacheng, 2021. "Autoencoder asset pricing models," Journal of Econometrics, Elsevier, vol. 222(1), pages 429-450.
    91. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    92. Alessandro Barbarino & Efstathia Bura, 2017. "A Unified Framework for Dimension Reduction in Forecasting," Finance and Economics Discussion Series 2017-004, Board of Governors of the Federal Reserve System (U.S.).
    93. Luca Di Bonaventura & Mario Forni & Francesco Pattarin, 2018. "The Forecasting Performance of Dynamic Factor Models with Vintage Data," Center for Economic Research (RECent) 138, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    94. Alain Kabundi & Mustafa Y. Çakir, 2013. "Transmission of China’s Shocks to the BRIS Countries," Working Papers 362, Economic Research Southern Africa.
    95. Mouloud El Hafidi & Marouane Daoui, 2019. "Chocs de la politique monétaire et croissance économique au Maroc : une approche en terme de modèles FAVAR," Post-Print hal-03311354, HAL.
    96. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.
    97. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    98. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    99. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    100. Matteo Luciani & Libero Monteforte, 2012. "Uncertainty and Heterogeneity in factor models forecasting," Working Papers 5, Department of the Treasury, Ministry of the Economy and of Finance.
    101. Paccagnini, Alessia, 2019. "Did financial factors matter during the Great Recession?," Economics Letters, Elsevier, vol. 174(C), pages 26-30.
    102. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    103. Olivier Fortin-Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2018. "A Large Canadian Database for Macroeconomic Analysis," CIRANO Working Papers 2018s-25, CIRANO.
    104. Fiorelli, Cristiana & Meliciani, Valentina, 2019. "Economic growth in the era of unconventional monetary instruments: A FAVAR approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    105. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.
    106. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
    107. Seung C. Ahn & Alex R. Horenstein, 2017. "Asset Pricing and Excess Returns over the Market Return," Working Papers 2017-12, University of Miami, Department of Economics.
    108. Claudia Godbout & Marco J. Lombardi, 2012. "Short-Term Forecasting of the Japanese Economy Using Factor Models," Staff Working Papers 12-7, Bank of Canada.
    109. Ling-Ni Boon & Florian Ielpo, 2016. "An anatomy of global risk premiums," Journal of Asset Management, Palgrave Macmillan, vol. 17(4), pages 229-243, July.
    110. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    111. Sofiane Aboura & Julien Chevallier, 2015. "Cross-market volatility index with Factor-DCC," Post-Print halshs-01348723, HAL.
    112. Jorge Fornero & Markus Kirchner & Carlos Molina, 2021. "Estimating Shadow Policy Rates in a Small Open Economy and the Role of Foreign Factors," Working Papers Central Bank of Chile 915, Central Bank of Chile.
    113. Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021. "Can Machine Learning Catch the COVID-19 Recession?," Papers 2103.01201, arXiv.org.
    114. 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.
    115. 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.
    116. Joakim Westerlund & Sagarika Mishra, 2017. "On the determination of the number of factors using information criteria with data-driven penalty," Statistical Papers, Springer, vol. 58(1), pages 161-184, March.
    117. 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.).
    118. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    119. 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.
    120. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised Dec 2023.
    121. Jason Angelopoulos & Costas I. Chlomoudis, 2017. "A Generalized Dynamic Factor Model for the U.S. Port Sector," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(1), pages 22-37, January-M.
    122. Luke Hartigan, 2015. "Changes in the Factor Structure of the U.S. Economy: Permanent Breaks or Business Cycle Regimes?," Discussion Papers 2015-17, School of Economics, The University of New South Wales.
    123. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    124. Fan, Jianqing & Xue, Lingzhou & Yao, Jiawei, 2017. "Sufficient forecasting using factor models," Journal of Econometrics, Elsevier, vol. 201(2), pages 292-306.
    125. 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.
    126. Nagayasu, Jun, 2016. "Commonality and Heterogeneity in Real Effective Exchange Rates: Evidence from Advanced and Developing Countries," MPRA Paper 70078, University Library of Munich, Germany.
    127. Ardia, David & Bluteau, Keven & Boudt, Kris, 2019. "Questioning the news about economic growth: Sparse forecasting using thousands of news-based sentiment values," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1370-1386.
    128. Andrew S. Duncan & Alain Kabundi, 2014. "Global Financial Crises and Time-Varying Volatility Comovement in World Equity Markets," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 531-550, December.
    129. 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.
    130. Ouerk, Salima & Boucher, Christophe & Lubochinsky, Catherine, 2020. "Unconventional monetary policy in the Euro Area: Shadow rate and light effets," Journal of Macroeconomics, Elsevier, vol. 65(C).
    131. Marc Hallin & Marcelo Moreira J. & Alexei Onatski, 2013. "Group Invariance, Likelihood Ratio Tests, and the Incidental Parameter Problem in a High-Dimensional Linear Model," Working Papers ECARES ECARES 2013-04, ULB -- Universite Libre de Bruxelles.
    132. Tan, Ying & Sha, Wenbiao & Paudel, Krishna, 2017. "The Impact of Monetary Policy on Agricultural Price Index in China: A FAVAR Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252676, Southern Agricultural Economics Association.
    133. Yu, Long & He, Yong & Zhang, Xinsheng, 2019. "Robust factor number specification for large-dimensional elliptical factor model," Journal of Multivariate Analysis, Elsevier, vol. 174(C).
    134. Javier Emmanuel Anguiano Pita & Antonio Ruiz Porras, 2020. "Market dynamics and integration of the financial markets of the NAFTA countries," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 92, pages 67-100, Enero-Jun.
    135. 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.
    136. Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
    137. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
    138. Yuefeng Han & Rong Chen & Cun-Hui Zhang, 2020. "Rank Determination in Tensor Factor Model," Papers 2011.07131, arXiv.org, revised May 2022.
    139. 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.
    140. Roman Matkovskyy, 2016. "A comparison of pre- and post-crisis efficiency of OECD countries: evidence from a model with temporal heterogeneity in time and unobservable individual effect," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(2), pages 135-167, December.
    141. Xia, Qiang & Liang, Rubing & Wu, Jianhong, 2017. "Transformed contribution ratio test for the number of factors in static approximate factor models," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 235-241.
    142. Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by Time-Varying FAVAR," Working Papers hal-01282811, HAL.
    143. Xu Lin & Lizi Wu, 2021. "Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 131-165, August.
    144. Smets, Frank & Beyer, Robert C. M., 2015. "Labour market adjustments in Europe and the US: How different?," Working Paper Series 1767, European Central Bank.
    145. Alain Kabundi & Andrew S. Duncan, 2011. "Global Financial Crises and Time-varying Volatility Comovement in World Equity Markets," Working Papers 253, Economic Research Southern Africa.
    146. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2017. "Risk evaluations with robust approximate factor models," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 244-264.
    147. Eric Hillebrand & Jakob Mikkelsen & Lars Spreng & Giovanni Urga, 2020. "Exchange Rates and Macroeconomic Fundamentals: Evidence of Instabilities from Time-Varying Factor Loadings," CREATES Research Papers 2020-19, Department of Economics and Business Economics, Aarhus University.
    148. 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.
    149. Rangan Gupta, 2012. "Forecasting House Prices for the Four Census Regions and the Aggregate US Economy: The Role of a Data-Rich Environment," Working Papers 201214, University of Pretoria, Department of Economics.
    150. Bai, Jushan & Liao, Yuan, 2016. "Efficient estimation of approximate factor models via penalized maximum likelihood," Journal of Econometrics, Elsevier, vol. 191(1), pages 1-18.
    151. Naik, Prasad A., 2015. "Marketing Dynamics: A Primer on Estimation and Control," Foundations and Trends(R) in Marketing, now publishers, vol. 9(3), pages 175-266, December.
    152. 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.
    153. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    154. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.
    155. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
    156. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.

  16. 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.
    See citations under working paper version above.
  17. Marco Capasso & Lucia Alessi & Matteo Barigozzi & Giorgio Fagiolo, 2009. "On Approximating The Distributions Of Goodness-Of-Fit Test Statistics Based On The Empirical Distribution Function: The Case Of Unknown Parameters," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 157-167.
    See citations under working paper version above.

Chapters

  1. Marco Capasso & Nelson Correa, 2010. "ICT and Knowledge Complementarities: A Factor Analysis on Growth," Chapters, in: Mario Cimoli & André A. Hofman & Nanno Mulder (ed.), Innovation and Economic Development, chapter 8, Edward Elgar Publishing.

    Cited by:

    1. Guerra, Massiel & Jordán, Valeria, 2010. "Public policies for the information society: a shared vision?," Documentos de Proyectos 3765, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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