Motivated by recently introduced retail payment schemes using information technology, often called “FinTech,” we examine the effect of fraud liability regime on antifraud investment in a FinTech payment scheme, where the front‐end and back‐end services are vertically separated. In an environment where a FinTech payment service provider (FPP) covers only the front‐end services, delegating the back‐end services to an integrated payment service provider (IPP) such as banks and credit card companies, we show that under the IPP liability regime, the IPP invests more in general, while the respective investment depends on the range of the access fee under the FPP liability regime. Specifically, given a sufficiently great loss from accident, if the access fee is in a certain range, the FPP liability regime is superior in terms of antifraud investment. When the FPP makes its indirect revenue from its user base in addition to the revenue from user fees, we can observe greater antifraud investment under both liability regimes, but the overall decrease in fraud probability is higher under the IPP liability regime. Our results suggest that it might be desirable to induce FPP liability regime, which might necessitate regulating the access fee to achieve such an outcome. (JEL G23, G28, D43, L22)
Anti-poverty policies for sustainable development require efficient targeting, for which appropriate poverty lines play a crucial role. In Bangladesh, official poverty lines are estimated with the implicit assumption that there are no economies of scale in household consumption with respect to household size or composition, which raises the question of the accuracy and reliability of the measurement of poverty line. We test the existence of economies of scale, estimate their size, and assess the impact of applying equivalence scale to poverty measurement, using the 2010 Household Income and Expenditure Survey data of Bangladesh. The results confirm the existence of economies of scale in household consumption. Following the model developed by Kakwani and Son, the overall index of economies of scale in household consumption is estimated around 0.85. Modified poverty lines show that under official poverty lines, the probability of being poor is high with respect to household size. The result implies that the poverty head-count ratio(HCR) for households with large number of members might be overestimated in Bangladesh, and that there may be an incentive for low income families to enlarge family size to avail of anti-poverty public transfers.
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