146 research outputs found
On reminder effects, drop-outs and dominance: evidence from an online experiment on charitable giving
We present the results of an experiment that (a) shows the usefulness of screening out drop-outs and (b) tests whether different methods of payment and reminder intervals affect charitable giving. Following a lab session, participants could make online donations to charity for a total duration of three months. Our procedure justifying the exclusion of drop-outs consists in requiring participants to collect payments in person flexibly and as known in advance and as highlighted to them later. Our interpretation is that participants who failed to collect their positive payments under these circumstances are likely not to satisfy dominance. If we restrict the sample to subjects who did not drop out, but not otherwise, reminders significantly increase the overall amount of charitable giving. We also find that weekly reminders are no more effective than monthly reminders in increasing charitable giving, and that, in our three months duration experiment, standing orders do not increase giving relative to one-off donations
Policy design for the Anthropocene
This is the author accepted manuscript. The final version is available from Nature Research via the DOI in this recordToday, more than ever, ‘Spaceship Earth’ is an apt metaphor as we chart the boundaries for a safe planet1. Social scientists both analyse why society courts disaster by approaching or even overstepping these boundaries and try to design suitable policies to avoid these perils. Because the threats of transgressing planetary boundaries are global, long-run, uncertain and interconnected, they must be analysed together to avoid conflicts and take advantage of synergies. To obtain policies that are effective at both international and local levels requires careful analysis of the underlying mechanisms across scientific disciplines and approaches, and must take politics into account. In this Perspective, we examine the complexities of designing policies that can keep Earth within the biophysical limits favourable to human life.Stockholm Resilience CentreBECC - Biodiversity and Ecosystem services in a Changing ClimateMistra Carbon Exi
The social value of a QALY : raising the bar or barring the raise?
Background: Since the inception of the National Institute for Health and Clinical Excellence (NICE) in England,
there have been questions about the empirical basis for the cost-per-QALY threshold used by NICE and whether
QALYs gained by different beneficiaries of health care should be weighted equally. The Social Value of a QALY
(SVQ) project, reported in this paper, was commissioned to address these two questions. The results of SVQ were
released during a time of considerable debate about the NICE threshold, and authors with differing perspectives
have drawn on the SVQ results to support their cases. As these discussions continue, and given the selective use of
results by those involved, it is important, therefore, not only to present a summary overview of SVQ, but also for
those who conducted the research to contribute to the debate as to its implications for NICE.
Discussion: The issue of the threshold was addressed in two ways: first, by combining, via a set of models, the
current UK Value of a Prevented Fatality (used in transport policy) with data on fatality age, life expectancy and
age-related quality of life; and, second, via a survey designed to test the feasibility of combining respondents’
answers to willingness to pay and health state utility questions to arrive at values of a QALY. Modelling resulted in
values of £10,000-£70,000 per QALY. Via survey research, most methods of aggregating the data resulted in values
of a QALY of £18,000-£40,000, although others resulted in implausibly high values. An additional survey, addressing
the issue of weighting QALYs, used two methods, one indicating that QALYs should not be weighted and the
other that greater weight could be given to QALYs gained by some groups.
Summary: Although we conducted only a feasibility study and a modelling exercise, neither present compelling
evidence for moving the NICE threshold up or down. Some preliminary evidence would indicate it could be
moved up for some types of QALY and down for others. While many members of the public appear to be open to
the possibility of using somewhat different QALY weights for different groups of beneficiaries, we do not yet have
any secure evidence base for introducing such a system
Priority for the Worse Off and the Social Cost of Carbon
The social cost of carbon (SCC) is a monetary measure of the harms from carbon emission. Specifically, it is the reduction in current consumption that produces a loss in social welfare equivalent to that caused by the emission of a ton of CO2. The standard approach is to calculate the SCC using a discounted-utilitarian social welfare function (SWF)—one that simply adds up the well-being numbers (utilities) of individuals, as discounted by a weighting factor that decreases with time. The discounted-utilitarian SWF has been criticized both for ignoring the distribution of well-being, and for including an arbitrary preference for earlier generations. Here, we use a prioritarian SWF, with no time-discount factor, to calculate the SCC in the integrated assessment model RICE. Prioritarianism is a well-developed concept in ethics and theoretical welfare economics, but has been, thus far, little used in climate scholarship. The core idea is to give greater weight to well-being changes affecting worse off individuals. We find substantial differences between the discounted-utilitarian and non-discounted prioritarian SCC
Economic Games on the Internet: The Effect of $1 Stakes
Online labor markets such as Amazon Mechanical Turk (MTurk) offer an unprecedented opportunity to run economic game experiments quickly and inexpensively. Using Mturk, we recruited 756 subjects and examined their behavior in four canonical economic games, with two payoff conditions each: a stakes condition, in which subjects' earnings were based on the outcome of the game (maximum earnings of $1); and a no-stakes condition, in which subjects' earnings are unaffected by the outcome of the game. Our results demonstrate that economic game experiments run on MTurk are comparable to those run in laboratory settings, even when using very low stakes
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