Data di Pubblicazione:
2016
Citazione:
Cavicchioli, M., A., Papana, A., Papana Diagasis e B., Pistoresi. "Determinants of Central Bank independence: a random forest approach" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2016. https://doi.org/10.25431/11380_1101348
Abstract:
In this paper we implement an effcient non-parametric statistical method, Random survival forests, for the selection of the determinants of Central Bank Independence (CBI) among a large data base of political and economic variables for OECD countries.This statistical technique enables us to overcome omitted variables and overftting problems. It turns out that the economic variables
are major determinants compared to the political ones and linear andnonlinear effects of chosen predictors on CBI are found.
Tipologia CRIS:
Working paper
Keywords:
Central bank independence, Political and economic determinants, Random survival forests
Elenco autori:
Cavicchioli, M.; Papana, A.; Papana Diagasis, A.; Pistoresi, B.
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