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To cite the serial-correlation methods (and the combined estimator) in publications use:
Perron P, González-Coya E (2026). “Feasible GLS for Time Series Regression.” Journal of Econometrics, 258, 106346. doi:10.1016/j.jeconom.2026.106346.
To cite the heteroskedasticity methods use:
González-Coya E, Perron P (2024). “Estimation in the Presence of Heteroskedasticity of Unknown Form: A Lasso-based Approach.” Journal of Econometric Methods, 13(1), 29–48. doi:10.1515/jem-2023-0007.
To cite the software use:
González-Coya E (2026). fgls: Feasible GLS for Serial Correlation and Heteroskedasticity. R package version 0.1.0, https://github.com/emiliogcs/fgls.
Corresponding BibTeX entries:
@Article{,
title = {Feasible {GLS} for Time Series Regression},
author = {Pierre Perron and Emilio González-Coya},
journal = {Journal of Econometrics},
year = {2026},
volume = {258},
pages = {106346},
doi = {10.1016/j.jeconom.2026.106346},
}
@Article{,
title = {Estimation in the Presence of Heteroskedasticity of
Unknown Form: A {L}asso-based Approach},
author = {Emilio González-Coya and Pierre Perron},
journal = {Journal of Econometric Methods},
year = {2024},
volume = {13},
number = {1},
pages = {29--48},
doi = {10.1515/jem-2023-0007},
}
@Manual{,
title = {{fgls}: Feasible {GLS} for Serial Correlation and
Heteroskedasticity},
author = {Emilio González-Coya},
year = {2026},
note = {R package version 0.1.0},
url = {https://github.com/emiliogcs/fgls},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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