published in: Experimental Economics, 2020, 23, 294–321
Empirically observed intertemporal choices about money have long been thought to exhibit present bias, i.e. higher short-term compared to long-term discount rates. Recently, this view has been called into question on both empirical and theoretical grounds, and a spate of recent findings suggest that present bias for money is minimal or non-existent when one allows for curvature in the utility function and transaction costs are tightly controlled. However, an alternative interpretation of many of these findings is that, in the interest of equalizing transaction costs across earlier and later payments, small delays were introduced between the time of the experiment and the soonest payment.
We conduct a laboratory experiment in Kenya in which we elicit time and risk preference parameters from 291 participants, using convex time budgets and tightly controlling for transaction costs. We make the soonest payments truly immediate, using the Kenyan mobile money system M-Pesa to make real-time transfers to subjects' phones. We find strong evidence of present bias, with estimates of the present bias parameter ranging from 0.901 to 0.937. This result suggests that present bias for money does in fact exist, but only for truly immediate payments.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.