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CWP071818.pdf
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We propose an estimation methodology for a semiparametric quantile factor panel model. We provide tools for inference that are robust to the existence of moments and to the form of weak cross-sectional dependence in the idiosyncratic error term. We apply our method to CRSP daily data.
Authors
![Person graphic](/sites/default/files/styles/square_desktop/public/2022-06/IFS-person-graphic.png?itok=hWCtTSrz)
Oliver Linton
![Person graphic](/sites/default/files/styles/square_desktop/public/2022-06/IFS-person-graphic.png?itok=hWCtTSrz)
Jiti Gao
![Person graphic](/sites/default/files/styles/square_desktop/public/2022-06/IFS-person-graphic.png?itok=hWCtTSrz)
Shujie Ma
Working Paper details
- DOI
- 10.1920/wp.cem.2018.0718
- Publisher
- The IFS
Suggested citation
J, Gao and O, Linton and S, Ma. (2018). Estimation in semiparametric quantile factor models. London: The IFS. Available at: https://ifs.org.uk/publications/estimation-semiparametric-quantile-factor-models (accessed: 1 July 2024).
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