Factor dimension determination for panel interactive effects models: an orthogonal projection approach
Author
Abstract
Suggested Citation
DOI: 10.1007/s00180-020-01059-y
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Lu, Xun & Su, Liangjun, 2016.
"Shrinkage estimation of dynamic panel data models with interactive fixed effects,"
Journal of Econometrics, Elsevier, vol. 190(1), pages 148-175.
- Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013.
"Identifying Technology Spillovers and Product Market Rivalry,"
Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
- Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
- Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," STICERD - Economics of Industry Papers 40, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Bloom, Nick & Schankerman, Mark & Van Reenen, John, 2005. "Identifying technology spillovers and product market rivalry," LSE Research Online Documents on Economics 3728, London School of Economics and Political Science, LSE Library.
- Nicholas Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying Technology Spillovers and Product Market Rivalry," CEP Discussion Papers dp0675, Centre for Economic Performance, LSE.
- Bloom, Nick & Schankerman, Mark & Van Reenen, John, 2007. "Identifying technology spillovers and product market rivalry," LSE Research Online Documents on Economics 5091, London School of Economics and Political Science, LSE Library.
- Bloom, Nick & Schankerman, Mark & Van Reenen, John, 2013. "Identifying technology spillovers and product market rivalry," LSE Research Online Documents on Economics 46852, London School of Economics and Political Science, LSE Library.
- Bloom, Nick & Schankerman, Mark & Van Reenen, John, 2005. "Identifying technology spillovers and product market rivalry," LSE Research Online Documents on Economics 780, London School of Economics and Political Science, LSE Library.
- Bloom, Nick & Schankerman, Mark & Van Reenen, John, 2005. "Identifying technology spillovers and product market rivalry," LSE Research Online Documents on Economics 5077, London School of Economics and Political Science, LSE Library.
- Schankerman, Mark & Van Reenen, John & Bloom, Nicholas, 2005. "Identifying Technology Spillovers and Product Market Rivalry," CEPR Discussion Papers 4912, C.E.P.R. Discussion Papers.
- Nicholas Bloom & Mark Schankerman & John Van Reenen, 2007. "Identifying Technology Spillovers and Product Market Rivalry," NBER Working Papers 13060, National Bureau of Economic Research, Inc.
- Hyungsik Roger Moon & Martin Weidner, 2015.
"Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects,"
Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
- Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hyungsik Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP35/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Moon, Hyungsik Roger & Weidner, Martin, 2017.
"Dynamic Linear Panel Regression Models With Interactive Fixed Effects,"
Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
- Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hyungsik Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP47/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Martin Burda & Matthew Harding, 2013. "Panel Probit With Flexible Correlated Effects: Quantifying Technology Spillovers In The Presence Of Latent Heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 956-981, September.
- Liangjun Su & Yonghui Zhang, 2016. "Semiparametric Estimation of Partially Linear Dynamic Panel Data Models with Fixed Effects," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 137-204, Emerald Group Publishing Limited.
- Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
- Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
- 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.
- Cheng Hsiao & Qiankun Zhou, 2019. "Panel parametric, semiparametric, and nonparametric construction of counterfactuals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 463-481, June.
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Jie Jiang & Qihang Zhang & Yifan Hui, 2023. "The Impact of Market and Non-Market-Based Environmental Policy Instruments on Firms’ Sustainable Technological Innovation: Evidence from Chinese Firms," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
- Liu, Jingyuan & Sun, Ao & Ke, Yuan, 2024. "A generalized knockoff procedure for FDR control in structural change detection," Journal of Econometrics, Elsevier, vol. 239(2).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Huang, Wenxin & Jin, Sainan & Phillips, Peter C.B. & Su, Liangjun, 2021.
"Nonstationary panel models with latent group structures and cross-section dependence,"
Journal of Econometrics, Elsevier, vol. 221(1), pages 198-222.
- Huang, Wenxin & Jin, Sainan & Phillips, Peter C.B. & Su, Liangjun, 2020. "Nonstationary Panel Models with Latent Group Structures and Cross-Section Dependence," Economics and Statistics Working Papers 7-2020, Singapore Management University, School of Economics.
- Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
- Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
- Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
- Li, Xingyu & Shen, Yan & Zhou, Qiankun, 2024.
"Confidence intervals of treatment effects in panel data models with interactive fixed effects,"
Journal of Econometrics, Elsevier, vol. 240(1).
- 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.
- Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021.
"Nonlinear factor models for network and panel data,"
Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
- 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.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2019. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP18/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
- Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021.
"Matrix Completion Methods for Causal Panel Data Models,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
- Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
- Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2018. "Matrix Completion Methods for Causal Panel Data Models," NBER Working Papers 25132, National Bureau of Economic Research, Inc.
- Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
- Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
- Callaway, Brantly & Karami, Sonia, 2023.
"Treatment effects in interactive fixed effects models with a small number of time periods,"
Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
- Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
- Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
- Hyungsik Roger Moon & Martin Weidner, 2018.
"Nuclear Norm Regularized Estimation of Panel Regression Models,"
Papers
1810.10987, arXiv.org, revised Jun 2023.
- Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
- Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.
- Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
- Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019.
"A diagnostic criterion for approximate factor structure,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 503-521.
- Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
- Patrick Gagliardini & Elisa Ossola & O. Scaillet, 2016. "A Diagnostic Criterion for Approximate Factor Structure," Swiss Finance Institute Research Paper Series 16-51, Swiss Finance Institute, revised Dec 2016.
- Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
- Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022.
"Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors],"
The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
- Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
- Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
- Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
- Laurent Gobillon & Thierry Magnac, 2016.
"Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls,"
The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
- Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
- Laurent Gobillon & Thierry Magnac, 2013. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," Working Papers halshs-00849071, HAL.
- Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," PSE-Ecole d'économie de Paris (Postprint) halshs-01509743, HAL.
- Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," IZA Discussion Papers 7493, Institute of Labor Economics (IZA).
- Laurent Gobillon & Thierry Magnac, 2013. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," PSE Working Papers halshs-00849071, HAL.
- Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," IDEI Working Papers 786, Institut d'Économie Industrielle (IDEI), Toulouse.
- Laurent Gobillon & Thierry Magnac, 2014. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Control," CESifo Working Paper Series 5077, CESifo.
- Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," Post-Print halshs-01509743, HAL.
- Magnac, Thierry & Gobillon, Laurent, 2014. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," CEPR Discussion Papers 10253, C.E.P.R. Discussion Papers.
More about this item
Keywords
Factor dimensions; Projection matrix; Panel interactive model; Information criterion; Recursive Iteration;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:36:y:2021:i:2:d:10.1007_s00180-020-01059-y. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.