This study uses a door-to-door fundraising field experiment to examine the impact of different payment options on charitable giving. Households are randomly divided into three treatments, distinguished by the possibility for respondents to donate cash, by debit card, or both. I find that due to...

In a door-to-door fundraising field experiment, we study the impact of fundraising mechanisms on charitable giving. We approached about 4500 households, each participating in either an all-pay auction, a lottery, a non-anonymous voluntary contribution mechanism (VCM), or an anonymous VCM. In...

Parents’ transfer motives are important for understanding, e.g., macroeconomics, income (re)distribution, savings, and public finance. Using data from six biennial waves of the Health and Retirement Study 1992–2002, we estimate grouped tobit-type latent variable models with multi-level error...

A model is presented that explains the mix between funded and unfunded pension systems. It turns out that total pension and the relative shares of the two systems may be explained and are determined by the population growth rate, technological growth, the time-preference discount rate, the...

Physicians are supposed to serve patients' interests, but some are more inclined to do so than others. This paper studies how the system of health care provision affects the allocation of patients to physicians when physicians differ in altruism. We show that allowing for private provision of...

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In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Nether- lands. Because the fraction of women working full time in the Netherlands is quite low, sample selection is a serious issue. In addition to shedding...

We use data from a promotion campaign of NH-Hoteles to study self-selection of participants in a gift-exchange experiment. The promotion campaign allowed guests to pay any non negative amount of money for a stay in one of 36 hotels in Belgium and the Netherlands. The data allow us to distinguish...

We analyze the behavior of experts who quote forecasts for monthly SKU-level sales data where we compare data before and after the moment that experts received different kinds of feedback on their behavior. We have data for 21 experts located in as many countries who make SKU-level forecasts for...