The aim of this study is to understand whether Bayesian networks are an appropriate tool to analyse and improve the performance of a microcredit initiative. This technique is employed to study simultaneously all the interactions between variables and perform what-if analyses. The analysed dataset originates from an important microcredit initiative aimed to help damaged firms, after the earthquake struck Italy in 2009. The model appears to provide a clear picture of the subject matter and seems to be appropriate to both assess risk connected to microcredit and support its development.
Giammei, L., Vicard, P. (2019). Bayesian networks for the analysis of entrepreneurial microcredit: evidence from Italy. In Cladag 2019. 12th Scientific Meeting – Classification and Data Analysis. Book of Short Papers (pp.222-225). Cassino : Edizioni Università di Cassino.
Bayesian networks for the analysis of entrepreneurial microcredit: evidence from Italy
Paola Vicard
2019-01-01
Abstract
The aim of this study is to understand whether Bayesian networks are an appropriate tool to analyse and improve the performance of a microcredit initiative. This technique is employed to study simultaneously all the interactions between variables and perform what-if analyses. The analysed dataset originates from an important microcredit initiative aimed to help damaged firms, after the earthquake struck Italy in 2009. The model appears to provide a clear picture of the subject matter and seems to be appropriate to both assess risk connected to microcredit and support its development.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
