Does the digitization of money change how individuals and households spend, invest, and save? Specifically, does the form of money (rather than the functionality of mobile money) change perceptions and thus choices? Is there something importantly different about holding 20 taka on your mobile phone rather than holding a 20 taka banknote in your hand? Maurer (2012) raises related questions about perceptions of mobile money as a whole, and here we focus on the way that mobile money shifts specific consumer choices.
Economists generally assume that money is fungible, a dollar is a dollar, a taka is a taka (Morduch 2017). But studies show that the form of money matters. Viviana Zelizer’s The Social Meaning of Money (1994) describes how money obtained through different channels get earmarked for certain purposes and thus may not be viewed as being fungible. That can lead to different monies being spent in different ways. Her focus is not on the form of money (cash vs. check, say, or credit card), but it provides one explanation for differentiation.
Motivated by experiments with US college students by Priya Raghubir and Joydeep Srivastava (2008), we ask respondents about the willingness to pay for set of common goods, distinguishing between amounts when they (hypothetically) purchase the goods in cash versus mobile money. We asked the study participants how much they would be willing to pay for a quantity of fine rice, a good bar of soap, particular pieces of clothing (a salwar kameez and a lungi), a bag of potato chips, and a packet of biscuits (cookies). The aim is to see whether their choices shift when mobile money is at stake rather than cash. We call these “payment effects” to reflect that the form of payment can affect choices.
We anticipated that when consumers think of mobile money, with its more abstract (digitized) form of stored value, they may make different consumption choices relative to those made when the spending is in cash. We asked questions to elicit responses about quantities consumed, quality consumed, and the willingness-to-pay. We relate the choices to education, age, gender, and other demographic characteristics, as well as prior exposure to the mobile money technology.
While the study draws inspiration from the study by Raghubir and Srivastava (2008), which focused on credit cards vs cash, we look at a very different context (mobile money in Bangladesh) and analyze a broader set of covariates (including measurement of time and risk preferences). In addition, we have experimental variationin the amount of prior experience individuals have with the technology, to test for the effects of learning. Moreover, rather than being restricted to a population of college students, we test for these effects in a population where mobile money has just been introduced and is growing fast.