This paper proposes a Bayesian nonparametric homogeneity test for distributional changes. We provide an asymptotic approximation of the Bayes factor and show that it is related to the Shannon entropy. The proposed test is suitable for large high-dimensional datasets which otherwise require time-consuming computation for posterior approximation. An analysis on the FRED-QD macroeconomic dataset shows the ability of the test to detect relevant structural changes in the US economy.
Structural changes in large economic datasets: A nonparametric homogeneity test
Casarin R.
;Costola M.
2019-01-01
Abstract
This paper proposes a Bayesian nonparametric homogeneity test for distributional changes. We provide an asymptotic approximation of the Bayes factor and show that it is related to the Shannon entropy. The proposed test is suitable for large high-dimensional datasets which otherwise require time-consuming computation for posterior approximation. An analysis on the FRED-QD macroeconomic dataset shows the ability of the test to detect relevant structural changes in the US economy.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
CasarinCostola_EL.pdf
non disponibili
Tipologia:
Documento in Pre-print
Licenza:
Accesso chiuso-personale
Dimensione
363.53 kB
Formato
Adobe PDF
|
363.53 kB | Adobe PDF | Visualizza/Apri |
OnLineAppendix.pdf
non disponibili
Tipologia:
Altro materiale relativo al prodotto (file audio, video, ecc.)
Licenza:
Accesso chiuso-personale
Dimensione
266.05 kB
Formato
Adobe PDF
|
266.05 kB | Adobe PDF | Visualizza/Apri |
I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.