The data contains one observation for each of the 233 participants of this monetarily incentivized experiment. Participants were randomly recruited using ORSEE (Greiner B. The online recruitment system ORSEE 2.0 - a guide for the organization of experiments in economics. University of Cologne Working Paper Series 2004;10.) and the subject pool of the Centre for Behavioural Social Science (CBESS) at the University of East Anglia, Norwich, United Kingdom. This pool contains mainly university students of various disciplines. Every participant provided written consent before participating in the experiment. Each person participated in one out of six between subject treatments. The experiment used a 3 x 2 full factorial design to analyze the effect of reminders (none, monthly or weekly) and the method of payment (one-off donation or standing order) on voluntary donations towards an international charitable organization. The total data collection lastet for 3 months. This dataset contains one data entry per participant, i.e. 233 rows in total.This network project brings together economists, psychologists, computer and complexity scientists from three leading centres for behavioural social science at Nottigham, Warwick and UEA. This group will lead a research programme with two broad objectives: - to develop and test cross-disciplinary models of human behaviour and behaviour change - to draw out their implications for the formulation and evaluation of public policy. Foundational research will focus on three inter-related themes: - understanding individual behaviour and behaviour change - understanding social and interactive behaviour - rethinking the foundations of policy analysis. The project will explore implications of the basic science for policy via a series of applied projects connecting naturally with the three themes. These will include: - the determinants of consumer credit behaviour - the formation of social values - strategies for evaluation of policies affecting health and safety. The research will integrate theoretical perspectives from multiple disciplines and utilise a wide range of complementary methodologies including: - theoretical modeling of individuals, groups and complex systems - conceptual analysis; lab and field experiments - analysis of large data sets. The Network will promote high quality cross-disciplinary research and serve as a policy forum for understanding behaviour and behaviour change. IMPORTANT NOTE: The data set deposited does not contain all research output generated by the grant mentioned above, but the output of one sub-project. As the grant is still ongoing, the data sets of other projects will be made available once they have been completed.
The data was collected using a monetarily incentivized experiment. Participants were recruited from the subject pool of the Centre for Behavioural Social Science (CBESS) at the University of East Anglia, Norwich, United Kingdom. Ethical approval was granted by the Research Ethics Committee of the School of Economics at the University of East Anglia and every participants provided written consent before participating in this experiment. The experiment itself did not use any proprietary software but was programmed using PHP and Javascript in combination with an Apache web-server and a MySQL database. Special thanks go to Dr. Ailko van der Veen without whom the software could not have been developed. The raw data that consisted of several MySQL tables was downloaded from the MySQL database on the server that was used to run the experiment and subsequently was transformed into one consistent dataset. It is this dataset that is made available on this repository and that was subsequently analysed. All results in the accompanying research article ("On reminder effects, drop-outs and dominance: evidence from an online experiment on charitable giving") were produced using this dataset.
