How do the social media affect the success of charitable promotional campaigns? We use individual-level longitudinal data and experimental data from a social-media application that facilitates donations while broadcasting donors' activities to their contacts. We find that broadcasting is...

Word-of-mouth, referral, or viral marketing is a highly sought-after way of advertising. We undertake a field experiment that compares incentive mechanisms for encouraging social media shares to support a given cause. Our experiment takes place on a website set up to promote a fundraising drive...

Social media use plays an important role in shaping individuals' social attitudes and economic behaviours. One of the first well-known examples of social media campaigns is the Ice Bucket Challenge (IBC), a charity campaign that went viral on social media networks in August 2014, aiming to...

This paper presents a Schelling-type checkerboard model of residential segregation formulated as a spatial game. It shows that although every agent prefers to live in a mixed-race neighborhood, complete segregation is observed almost all of the time. A concept of tipping is rigorously defined,...

This research introduces an agent-based simulation model representing the dynamic processes of cooperative R&D in the manufacturing sector of South Korea. Firms' behavior is defined according to empirical findings on the Korean Innovation Survey 2005 and captured in a multivariate probit...

Cultural diversity is a complex and multi-faceted concept. Commonly used quantitative measures of the spatial distribution of culturally-defined groups – such as segregation, isolation or concentration indexes - are often only capable of identifying just one aspect of this distribution. The...

Driven by an ever-growing number of studies that explore the effectiveness of institutional mechanisms meant to mitigate cooperation problems, recent years have seen an increasing interest in the endogenous implementation of these institutions. In this paper, we test within a unified framework...

In order to slow the spread of the CoViD-19 pandemic, governments around the world have enacted a wide set of policies limiting the transmission of the disease. Initially, these focused on non-pharmaceutical interventions; more recently, vaccinations and large-scale rapid testing have started to...

Governments worldwide are adopting nuanced policy measures to reduce the number of Covid-19 cases with minimal social and economic costs. Epidemiological models have a hard time predicting the effects of such fine grained policies. We propose a novel simulation-based model to address this...

When one's treatment status affects the outcomes of others, experimental data are not sufficient to identify a treatment causal impact. In order to account for peer effects in program response, we use a social network model. We estimate and validate the model on experimental data collected for...