The empirical distribution of sequential LS factors in Multi-level Dynamic Factor Models
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- Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016.
"Exponent of Cross‐Sectional Dependence: Estimation and Inference,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
- Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," CESifo Working Paper Series 3722, CESifo.
- Bailey, Natalia & Kapetanios, George & Pesaran, M. Hashem, 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," IZA Discussion Papers 6318, IZA Network @ LISER.
- Bailey, N. & Kapetanios, G. & Pesaran, M. H., 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," Cambridge Working Papers in Economics 1206, Faculty of Economics, University of Cambridge.
- Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2025. "Sectoral Uncertainty: A Hierarchical-Volatility Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 43(4), pages 1051-1063, October.
- Pesaran, M. Hashem & Tosetti, Elisa, 2011.
"Large panels with common factors and spatial correlation,"
Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
- Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, IZA Network @ LISER.
- M. Hashem Pesaran & Elisa Tosetti, 2011. "Large panels with common factors and spatial correlation," Post-Print hal-00796743, HAL.
- Pesaran, M.H. & Tosetti, E., 2007. "Large Panels with Common Factors and Spatial Correlations," Cambridge Working Papers in Economics 0743, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran & Elisa Tosetti, 2007. "Large Panels with Common Factors and Spatial Correlations," CESifo Working Paper Series 2103, CESifo.
- E. Andreou & P. Gagliardini & E. Ghysels & M. Rubin, 2019. "Inference in Group Factor Models With an Application to Mixed‐Frequency Data," Econometrica, Econometric Society, vol. 87(4), pages 1267-1305, July.
- Gloria González‐Rivera & C. Vladimir Rodríguez‐Caballero & Esther Ruiz, 2024.
"Expecting the unexpected: Stressed scenarios for economic growth,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 926-942, August.
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023. "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers 202314, University of California at Riverside, Department of Economics.
- Tu, Yundong & Wang, Siwei, 2025. "Consistent model selection for factor-augmented regressions," Economics Letters, Elsevier, vol. 253(C).
- Tu, Yundong & Zheng, Jinsha, 2025. "Consistent model selection for factor-augmented regression within hierarchical factor structures," Economics Letters, Elsevier, vol. 257(C).
- In Choi & Dukpa Kim & Yun Jung Kim & Noh‐Sun Kwark, 2018.
"A multilevel factor model: Identification, asymptotic theory and applications,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 355-377, April.
- In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
- Guenter W. Beck & Kirstin Hubrich & Massimiliano Marcellino, 2016.
"On the Importance of Sectoral and Regional Shocks for Price‐Setting,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1234-1253, November.
- Hubrich, Kirstin & Marcellino, Massimiliano & Beck, Günter W., 2011. "On the importance of sectoral and regional shocks for price-setting," Working Paper Series 1334, European Central Bank.
- Hubrich, Kirstin & Marcellino, Massimiliano & Beck, Günter, 2011. "On the importance of sectoral and regional shocks for price-setting," CEPR Discussion Papers 8357, Centre for Economic Policy Research.
- Beck, Guenter W. & Hubrich, Kirstin & Marcellino, Massimiliano, 2012. "On the importance of sectoral and regional shocks for price setting," IMFS Working Paper Series 63, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Gian Pietro Bellocca & Ignacio Garr'on & Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2025. "FARS: Factor Augmented Regression Scenarios in R," Papers 2507.10679, arXiv.org, revised Feb 2026.
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022.
"Common factors of commodity prices,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.
- Giannone, Domenico & Ferrara, Laurent & Delle Chiaie, Simona, 2018. "Common Factors of Commodity Prices," CEPR Discussion Papers 12767, Centre for Economic Policy Research.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2017. "Common factors of commodity prices," Working Paper Series 2112, European Central Bank.
- Jushan Bai & Kunpeng Li, 2016.
"Maximum Likelihood Estimation and Inference for Approximate Factor Models of High Dimension,"
The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 298-309, May.
- Bai, Jushan & Li, Kunpeng, 2012. "Maximum likelihood estimation and inference for approximate factor models of high dimension," MPRA Paper 42099, University Library of Munich, Germany, revised 19 Oct 2012.
- 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.
- Ergemen, Yunus Emre & Rodríguez Caballero, Carlos Vladimir, 2017. "Estimation of a Dynamic Multilevel Factor Model with possible long-range dependence," DES - Working Papers. Statistics and Econometrics. WS 24614, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011.
"Weak and strong cross‐section dependence and estimation of large panels,"
Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
- Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages 45-90, February.
- Chudik, Alexander & Pesaran, Hashem & Tosetti, Elisa, 2009. "Weak and strong cross section dependence and estimation of large panels," Working Paper Series 1100, European Central Bank.
- Chudik, A. & Pesaran, M.H. & Tosetti, E., 2009. "Weak and Strong Cross Section Dependence and Estimation of Large Panels," Cambridge Working Papers in Economics 0924, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2009. "Weak and Strong Cross Section Dependence and Estimation of Large Panels," CESifo Working Paper Series 2689, CESifo.
- Chudik, Alexander & Pesaran, M. Hashem, 2015.
"Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
- Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Globalization Institute Working Papers 146, Federal Reserve Bank of Dallas.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
- Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
- M. Hashem Pesaran, 2006.
"Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure,"
Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
- M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
- Freyaldenhoven, Simon, 2022.
"Factor models with local factors — Determining the number of relevant factors,"
Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
- Simon Freyaldenhoven, 2021. "Factor Models with Local Factors—Determining the Number of Relevant Factors," Working Papers 21-15, Federal Reserve Bank of Philadelphia.
- Bai, Jushan & Ng, Serena, 2013. "Principal components estimation and identification of static factors," Journal of Econometrics, Elsevier, vol. 176(1), pages 18-29.
- Tomohiro Ando & Jushan Bai, 2016.
"Panel Data Models with Grouped Factor Structure Under Unknown Group Membership,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 163-191, January.
- Bai, Jushan & Ando, Tomohiro, 2013. "Panel data models with grouped factor structure under unknown group membership," MPRA Paper 52782, University Library of Munich, Germany.
- Tomohiro Ando & Jushan Bai, 2017. "Clustering Huge Number of Financial Time Series: A Panel Data Approach With High-Dimensional Predictors and Factor Structures," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1182-1198, July.
- António Rua & Francisco Dias, 2020. "A non-hierarchical dynamic factor model for three-way data," Working Papers w202007, Banco de Portugal, Economics and Research Department.
- J. Gower, 1975. "Generalized procrustes analysis," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 33-51, March.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012.
"A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
- Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "A quasi maximum likelihood approach for large approximate dynamic factor models," Working Paper Series 674, European Central Bank.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint) hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," Post-Print hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2008. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," Working Papers ECARES 2008_034, ULB -- Universite Libre de Bruxelles.
- Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2006. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," CEPR Discussion Papers 5724, Centre for Economic Policy Research.
- Dias Francisco & Pinheiro Maximiano & Rua António, 2013. "Determining the number of global and country-specific factors in the euro area," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 573-617, December.
- Matteo Barigozzi & Diego Fresoli & Esther Ruiz, 2026. "Mean Square Errors of factors extracted using principal components, linear projections, and Kalman filter," Papers 2601.04087, arXiv.org.
- Xu Han, 2021. "Shrinkage Estimation of Factor Models With Global and Group-Specific Factors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 1-17, January.
- Bai, Jushan & Ng, Serena, 2006.
"Evaluating latent and observed factors in macroeconomics and finance,"
Journal of Econometrics, Elsevier, vol. 131(1-2), pages 507-537.
- Jushan Bai & Serena Ng, 2004. "Evaluating Latent and Observed Factors in Macroeconomics and Financ," Econometrics 0408007, University Library of Munich, Germany.
- Bai, Jushan & Ng, Serena, 2008. "Large Dimensional Factor Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(2), pages 89-163, June.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
- Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
- Claudio Lissona & Esther Ruiz, 2025. "Heterogeneous economic growth vulnerability across Euro Area countries under stressed scenarios," Papers 2506.14321, arXiv.org.
- Mingjing Chen, 2023. "Circularly Projected Common Factors for Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 636-649, April.
- repec:hal:journl:peer-00796743 is not listed on IDEAS
- Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
- Rodríguez-Caballero, Carlos Vladimir & Caporin, Massimiliano, 2019.
"A multilevel factor approach for the analysis of CDS commonality and risk contribution,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
- 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.
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Keywords
;JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2026-02-23 (Econometrics)
- NEP-ETS-2026-02-23 (Econometric Time Series)
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