Data di Pubblicazione:
2016
Citazione:
Cavicchioli, M., A., Papana, A., Papana Dagiasis e B., Pistoresi. "Determinants of Central Bank Independence: a Random Forest Approach" Working paper, RECENT WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi – Università di Modena e Reggio Emilia, 2016.
Abstract:
In this paper we implement an e cient non-parametric statistical
method, Random survival forests, for the selection of the determinants of
Central Bank Independence (CBI) among a large database of political and
economic variables for OECD countries. This statistical technique enables
us to overcome omitted variables and over tting problems. It turns out that
the economic variables are major determinants compared to the political ones
and linear and nonlinear e ects of chosen predictors on CBI are found.
method, Random survival forests, for the selection of the determinants of
Central Bank Independence (CBI) among a large database of political and
economic variables for OECD countries. This statistical technique enables
us to overcome omitted variables and over tting problems. It turns out that
the economic variables are major determinants compared to the political ones
and linear and nonlinear e ects 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 Dagiasis, A.; Pistoresi, B.
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