Experimental Design Details
Experimental Design (Hidden)
This study is a natural field experiment implemented during the environmental organization’s first fundraising campaign after the approval of a new Climate Law through a climate referendum. The Climate Law has already been passed and is legally binding at the time of the intervention. As a result, donations cannot influence the adoption or implementation of the law. This creates a post provision environment in which donations can be interpreted as reflecting warm glow and social image motivations rather than instrumental effects.
The sample consists of approximately 3,367 individuals in the organization’s contact database, including previous donors as well as individuals who have never donated but have interacted with the organization. The unit of randomization is the individual. Each participant receives one electronic message inviting them to donate. The header, layout, and general format of the message are identical across conditions. Only selected sentences in the message body vary across treatments. Treatment assignment is not visible to participants, and individuals do not choose which message they receive.
Treatment design
The experiment follows a two by two factorial design.
Visibility condition (Anonymous vs Public)
In the Anonymous condition, the message explains that any donation will remain fully private and that no public recognition is possible.
In the Public condition, the message explains that donors may choose to have their name displayed on a publicly accessible supporters page related to the Climate Law. This constitutes an encouragement design in which visibility is made available but remains optional.
Benefit framing (Local vs Global)
In the Local framing condition, the message emphasizes local benefits of the Climate Law for the jurisdiction in which the referendum took place, such as improved air quality, health benefits, and other local co benefits.
In the Global framing condition, the message emphasizes global climate benefits, including contributions to emissions reductions and broader climate mitigation.
This yields four treatment cells: Anonymous Local, Anonymous Global, Public Local, and Public Global.
Heterogeneity analyses
Heterogeneous treatment effects are estimated using interaction terms between treatment assignment and pre treatment characteristics. Pre specified heterogeneity analyses focus on characteristics used for stratified randomization, namely prior donation status and prior engagement with the organization. These analyses examine whether responses to donation visibility and benefit framing differ between previous donors and non donors, and between low and high engagement individuals.
Additional heterogeneity analyses explore geographic variation using location information recorded in the organization’s contact database. Location is not used for randomization and these analyses are interpreted as secondary and exploratory, assessing whether responses to local versus global framing vary with geographic proximity to the policy context.
ITT and per protocol analyses
All primary analyses follow an intention to treat framework based on initial treatment assignment. For the visibility dimension, additional per protocol and instrumental variable estimates are reported based on whether donors choose to opt in to public recognition, with the public recognition assignment used as an instrument. These estimates are clearly labeled and interpreted as subject to self selection.