A note on the identification of restricted factor loading matrices
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DOI: 10.1007/BF02295600
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- James Algina, 1980. "A note on identification in the oblique and orthogonal factor analysis models," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 393-396, September.
- Robert Jennrich, 1978. "Rotational equivalence of factor loading matrices with specified values," Psychometrika, Springer;The Psychometric Society, vol. 43(3), pages 421-426, September.
- Bekker, Paul A. & Pollock, D. S. G., 1986.
"Identification of linear stochastic models with covariance restrictions,"
Journal of Econometrics, Elsevier, vol. 31(2), pages 179-208, March.
- Bekker, P.A. & Pollock, D.S.G., 1984. "Identification of linear stochastic models with covariance restrictions," Research Memorandum FEW 144, Tilburg University, School of Economics and Management.
- Magnus, J.R. & Neudecker, H., 1979. "The commutation matrix : Some properties and applications," Other publications TiSEM d0b1e779-7795-4676-ac98-1, Tilburg University, School of Economics and Management.
- Arthur Goldberger, 1971. "Econometrics and psychometrics: A survey of communalities," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 83-107, June.
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- Sylvia Kaufmann & Markus Pape, 2024. "A geometric approach to factor model identification," Working Papers 24.06, Swiss National Bank, Study Center Gerzensee.
- Gagliardini, Patrick & Gouriéroux, Christian, 2017. "Double instrumental variable estimation of interaction models with big data," Journal of Econometrics, Elsevier, vol. 201(2), pages 176-197.
- Kaufmann, Sylvia & Schumacher, Christian, 2019. "Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification," Journal of Econometrics, Elsevier, vol. 210(1), pages 116-134.
- Bai, Jushan & Wang, Peng, 2014. "Identification theory for high dimensional static and dynamic factor models," Journal of Econometrics, Elsevier, vol. 178(2), pages 794-804.
- Bai, Jushan & Ng, Serena, 2013. "Principal components estimation and identification of static factors," Journal of Econometrics, Elsevier, vol. 176(1), pages 18-29.
- Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
- Wegge, Leon L., 1996. "Local identifiability of the factor analysis and measurement error model parameter," Journal of Econometrics, Elsevier, vol. 70(2), pages 351-382, February.
- Maurizio Daniele & Julie Schnaitmann, 2019. "A Regularized Factor-augmented Vector Autoregressive Model," Papers 1912.06049, arXiv.org.
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Keywords
identification; orthogonal rotation; confirmatory factor analysis;All these keywords.
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