Adaptive LASSO for selecting Fourier coefficients in a functional smooth time-varying cointegrating regression: An application to the Feldstein-Horioka puzzle

David Neto. Adaptive LASSO for selecting Fourier coefficients in a functional smooth time-varying cointegrating regression: An application to the Feldstein-Horioka puzzle. Mathematics and Computers in Simulation, 179:253-264, 2021. [doi]

@article{Neto21,
  title = {Adaptive LASSO for selecting Fourier coefficients in a functional smooth time-varying cointegrating regression: An application to the Feldstein-Horioka puzzle},
  author = {David Neto},
  year = {2021},
  doi = {10.1016/j.matcom.2020.08.011},
  url = {https://doi.org/10.1016/j.matcom.2020.08.011},
  researchr = {https://researchr.org/publication/Neto21},
  cites = {0},
  citedby = {0},
  journal = {Mathematics and Computers in Simulation},
  volume = {179},
  pages = {253-264},
}