Researchers measure crowd-out around one level of charity output to identify whether giving is motivated by altruism and/or warm-glow. However, crowd-out depends on output, implying first that the power to reject pure altruism varies, and second that a single measurement of incomplete crowd-out can be rationalized by many different preferences. By instead measuring crowd-out at different output levels, we allow both for identification and for a novel and direct test of impure altruism. Using a new experimental design, we present the first empirical evidence that, consistent with impure altruism, crowd-out decreases with output
A principal source of interest in behavioral economics has been its advertised contributions to poli...
Data sharing is a key principle of open science, and research funders are increasingly including thi...
Quantitative models play an increasing role in exploring the impact of global change on biodiversity...
Many morally significant outcomes can be brought about only if several individuals contribute to the...
We replicate the experiment proposed by Lisa R. Anderson and Sarah L. Stafford (2009) by conducting ...
Almost all qualitative and quantitative research into human society involves the participation of ot...
We examine the role of trustworthiness and trust in statistical inference, arguing that it is the ex...
A number of highly cited papers by Flyvbjerg and associates have shown that ex ante infrastructure a...
Johanna Thoma (LSE) questions whether policy-makers should rely on a single metric for measuring the...
Biological data are often intrinsically hierarchical (e.g., species from different genera, plants wi...
With rare exception, actual tollroad traffic in many countries has failed to reproduce forecast traf...
Arbaugh, Fornaciari and Hwang (2016) use citation analysis – with Google Scholar as their source of ...
Veritism, the position that truth is necessary for epistemic acceptability, seems to be in tension w...
Critical race theorists and standpoint epistemologists argue that agents who are members of dominant...
Acoustic surveys of bats are one of the techniques most commonly used by ecological practitioners. T...
A principal source of interest in behavioral economics has been its advertised contributions to poli...
Data sharing is a key principle of open science, and research funders are increasingly including thi...
Quantitative models play an increasing role in exploring the impact of global change on biodiversity...
Many morally significant outcomes can be brought about only if several individuals contribute to the...
We replicate the experiment proposed by Lisa R. Anderson and Sarah L. Stafford (2009) by conducting ...
Almost all qualitative and quantitative research into human society involves the participation of ot...
We examine the role of trustworthiness and trust in statistical inference, arguing that it is the ex...
A number of highly cited papers by Flyvbjerg and associates have shown that ex ante infrastructure a...
Johanna Thoma (LSE) questions whether policy-makers should rely on a single metric for measuring the...
Biological data are often intrinsically hierarchical (e.g., species from different genera, plants wi...
With rare exception, actual tollroad traffic in many countries has failed to reproduce forecast traf...
Arbaugh, Fornaciari and Hwang (2016) use citation analysis – with Google Scholar as their source of ...
Veritism, the position that truth is necessary for epistemic acceptability, seems to be in tension w...
Critical race theorists and standpoint epistemologists argue that agents who are members of dominant...
Acoustic surveys of bats are one of the techniques most commonly used by ecological practitioners. T...
A principal source of interest in behavioral economics has been its advertised contributions to poli...
Data sharing is a key principle of open science, and research funders are increasingly including thi...
Quantitative models play an increasing role in exploring the impact of global change on biodiversity...