Table 1.
Main predictors of POS adoption and share of P2B electronic payments (combined results from the country-level and merchant-level samples).
Fig 1.
Example of a conditional classification tree.
Note: This conditional inference tree is obtained from a merchant-sample estimation using the parameters provided by the variable importance plot from the random forest.
Table 2.
Factors influencing POS terminal adoption.
Table 3.
Factors influencing share of electronic P2B payments.
Fig 2.
Treatment effects on POS adoption (country-level sample).
Fig 3.
Treatment effects on the share of P2B electronic payments (country-level sample).
Fig 4.
Impact of incentives: Treatment effects on pos terminal adoption (merchant level sample).
Fig 5.
Impact of incentives: Treatment effects on the share of merchant P2B electronic payment transactions (merchant-level sample).
Table 4.
Summary of treatment effects from the country-level sample.
Table 5.
Summary of treatment effects from the merchant-level sample.