Showing 1 - 7 of 7
-means objective to regression settings. As the regularization parameter m approaches 1, the fuzzy clustering objective converges to …
Persistent link: https://www.econbiz.de/10014302755
We estimate the distribution of marginal propensities to consume (MPCs) using a new approach based on the fuzzy C-means algorithm (Dunn 1973; Bezdek 1981). The algorithm generalizes the K-means methodology of Bonhomme and Manresa (2015) to allow for uncertain group assignment and to recover...
Persistent link: https://www.econbiz.de/10012144745
We estimate the distribution of marginal propensities to consume (MPCs) using a new approach based on the fuzzy C-means algorithm (Dunn 1973; Bezdek 1981). The algorithm generalizes the K-means methodology of Bonhomme and Manresa (2015) to allow for uncertain group assignment and to recover...
Persistent link: https://www.econbiz.de/10012123509
Persistent link: https://www.econbiz.de/10014474404
-means objective to regression settings. As the regularization parameter m approaches 1, the fuzzy clustering objective converges to …
Persistent link: https://www.econbiz.de/10013401747
We estimate the unconditional distribution of the marginal propensity to consume (MPC) using clustering regression …
Persistent link: https://www.econbiz.de/10014536216
We estimate the unconditional distribution of the marginal propensity to consume (MPC) using clustering regression …
Persistent link: https://www.econbiz.de/10014581768