Assessing incentives to increase digital payment acceptance and usage: a machine learning approach

HIGHLIGHTS

SUMMARY

With large amounts of data and of covariates, the authors can only achieve this sequencing using machine_learning. Given the large number of covariates in the cross -country dataset, the authors use machine_learning techniques to identify strong predictors without imposing a structure on the data as is the case for partial or structural standard econometric models. [37] surveys a number of methods used in studies of changes in demand behavior and concludes that machine_learning techniques are effective and, often, more powerful for this type of analysis. The advantages of a machine_learning approach where there are . . .

 



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