RT Journal Article
T1 Using flexible regression models for calculating hospital’s production functions
A1 Reyes Santías, Francisco
A1 Córdova Arévalo, Octavio
A1 Rivo Lopez, Elena
K1 5311 Organización y Dirección de Empresas
AB Background: The relative lack of flexibility of parametric models has led to the development of nonparametric regression techniques based on the family of generalized additive models. However, despite the potential advantages of using Generalized Additive Model (GAM) in  practice many models have, until now, not been sufficiently explored in health economics problems. It could be interesting to calculate a new flexible hospital production function by means of a GAM including interactions and to compare it with the classic model Cobb-Douglas in the prediction of the behavior of productive factors.
PB BMC Health Services Research
SN 14726963
YR 2020
FD 2020-07-30
LK http://hdl.handle.net/11093/3421
UL http://hdl.handle.net/11093/3421
LA eng
NO BMC Health Services Research, 20, 641 (2020)
DS Investigo
RD 14-sep-2024