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.
Bayesian networks for the analysis of entrepreneurial microcredit: evidence from Italy / Giammei, Lorenzo; Vicard, Paola. - (2019), pp. 222-225. (Intervento presentato al convegno CLADAG 2019: 12th scientific meeting of the Classification and Data Analysis Group tenutosi a Cassino; Italy).
Bayesian networks for the analysis of entrepreneurial microcredit: evidence from Italy
Lorenzo Giammei;
2019
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.
