Does it matter whether contribution decisions regarding environmental public goods are arrived at through intuition or reflection? Experimental research in behavioral economics has recently adopted dual-system theories of the mind from psychology in order to address this question. This research uses response time data in public good games to distinguish between the two distinct cognitive processes. We extend this literature towards environmental public goods by analyzing response time data from an online experiment in which over 3400 subjects from the general population faced a dichotomous choice between receiving a monetary payment or contributing to climate change mitigation efforts. Our evidence confirms a strong positive link between response times and contributions: The average response time of contributors is 40 % higher than that of non-contributors. This suggests that reflection, not intuition, is at the root of pro-environmental contributions. This result is robust to a comprehensive set of robustness checks, including a within-subjects analysis that controls for potentially unobserved confounds and recovers the relationship at the individual level.
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In non-incentivized settings, for example, evidence from stated preference surveys has shown that giving respondents ’additional time to think’ significantly reduces WTP estimates (Cook et al. 2012).
In a non-incentivized CVM survey, Fischer and Hanley (2007) use the time subjects take for their decision (i.e. response time data) in order to classify responses as either carefully considered or impulsive. Depending on the framing of the environmental good in question, the authors conclude that 10–20 % of stated WTPs in their study were impulsive or habitualised and hence less likely to contain accurate information on the underlying preferences. Börger (2015) similarly finds that slower survey responses to a choice situation increase choice precision.
Rand et al. (2012, (2014), for example, find that higher contributions in standard public good games are driven by intuitive decision making. In their series of studies, faster choices are associated with higher contributions and the application of time pressure shifts contributions towards the public good. Tinghög et al. (2013) and Verkoeijen and Bouwmeester (2014), however, fail to replicate the findings on the effects of time pressure, as do Duffy and Smith (2014) and Martinsson et al. (2014) when using cognitive load or priming designs in a public goods setting. In the closely related context of non-strategic distribution tasks, Piovesan and Wengström (2009) and Ubeda (2014) conclude that more generous allocations in dictator games are associated with reflection, not intuition. On the other hand, Schulz et al. (2014) find the opposite when analyzing the effects of cognitive load in a series of mini-dictator games. Similarly, Cappelen et al. (2015) find that participants sharing half of their endowment in a dictator game decide more quickly than those keeping their full endowment
Based on the categorization introduced by Charness et al. (2013).
Based on these choices, Diederich and Goeschl (2014) estimate a WTP for the voluntary contribution to emissions reductions and investigate determinants of the contribution decision while the present paper uses the RT data obtained by the same experiment to explore the underlying cognitive processes.
There were four variations in total. For example, in some conditions, a contribution decision was made public after the session. Session effects are therefore explicitly included when analyzing pooled data in Sect. 3. The main relationship between response times and contribution behavior is unaffected by the different variations.
For each of the 50 reward categories, there are between 56 and 83 observations.
Our design strived to present the experiment as indistinguishable from other YouGov polls as possible. These efforts included payment type and height (the polling company usually incentivizes panel members participating in a poll through either a piece-rate reward of approximately €1 for 20 min expected survey time or random lottery prizes, e.g. in the form of shopping vouchers), layout, and language of common questions on sociodemographics.
We tested for difference to the general population of German voters: Using two-sided t tests, we reject the hypothesis that the means of socio-demographic characteristics coincide at the 1 % level. Our subjects are slightly more likely to be male, younger, and educated than the average German of voting age. Income is self-reported, and therefore the lower average income in the sample is unsurprising. Compared to the full set of subjects who finished the experiment, we exclude observations with missing values in one or more of the variables used in Sect. 3.
Given these relatively small average RTs it seems unlikely that our observed effects are driven by subjects who leave the decision screen in order to search the internet for additional information on the public good.
We show below that part of this moderation can be attributed to those subjects who contribute in the first decision and do not change their behavior in the second decision.
A CDF C(t) of the action c is said to stochastically dominate a CDF D(t) of the action d if \(D(t)\ge C(t)\forall t\).
One additional second spent on the information screen increases RT by an average of 0.04 %.
As a further robustness check instead of controlling for the time spent on the information screen within the regression, we use the total time spent on both information and decision screen as a dependent variable. We still find a significant difference between contributors and defectors. One interpretation is that subjects who are more oriented towards pro-social goals spent more time acquiring information on how their decision could affect others. Fiedler et al. (2013) provide evidence along these lines.
This estimate is the sum of coefficients from contribution decisions 1 and 2 minus the coefficient of the interaction term.
Note, that roughly three quarters of those who switch, change their behavior from being a non-contributor to being a contributor. This would be expected if defection truly followed from a (potentially error prone) first impulse.
Potential candidates for unobserved time-varying factors could be boredom or fatigue by the subjects. Their role can be considered minor in light of the fact that the median subject completed the experiment within 6 min.
The first stage regression F statistic returns \(F = 28.60\). This indicates that the instruments are not weak.
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The authors gratefully acknowledge financial support by the German Science Foundation (DFG) under Grant GO1604/1 and the German Ministry for Education and Research under grant OIUV1012. Furthermore, we would like to thank the audiences at IMEBESS Oxford, RGS Bochum, HSC New York, RES Manchester, and ZEW Behavioral Environmental Economics Workshop Mannheim for their valuable comments.
Original in German available from the authors on request. Translated instructions for the relevant screens (screen-shots below) and treatments. Further information regarding the procedures available in Diederich and Goeschl (2013).
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Lohse, J., Goeschl, T. & Diederich, J.H. Giving is a Question of Time: Response Times and Contributions to an Environmental Public Good. Environ Resource Econ 67, 455–477 (2017). https://doi.org/10.1007/s10640-016-0029-z
- Public goods
- Dual-system theories
- Response times
- Climate change
- Online experiment