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This paper conducts a thorough data analysis using cross-sectional data from a study carried out in Mexico including over 16,500 observations. In the study, clusters were selected in areas Compartamos Banco, a Microfinance institution (MFI), has not lent in before. The clusters were randomly assigned to either the treatment or the control group. The analysis suggests that Microfinance has a significant positive effect on school and food expenditure but no apparent effect on entrepreneurship. Using regression analysis, a significant positive effect on women’s empowerment and its positive effect on total consumption is found.
This study provides an overview of the model evolution and research trends in the field of financial and risk modelling by applying a bibliometric approach from 2008–2019 and an overall citation network analysis. We present a content analysis of contributing authors, countries, journals, main topics, agreements, disagreements and frontiers within the research community and highlight quantitative features such as implemented models, aggregated model-family combinations and algorithms. Moreover, we describe the data sets employed by researchers. Finally, we discuss insights, such as the main statement, namely the non-existence of a “single-best”-approach as well as the future prospects of our findings.