We study response behavior in surveys and propose a method to identify and improve the informativeness of survey evidence. First, we develop a choice model of survey response behavior under the assumption that responses imperfectly reveal respondents' characteristics due to limited...

We examine the impact of intensive social media use on puberty timing, particularly earlier menarche in girls. Using data from the Millennium Cohort Study (MCS), a nationally representative longitudinal dataset tracking around 19,000 children in the UK, we analyse how digital engagement...

We study the effects of the largest adverse health shock in modern medicine - the 1918 influenza pandemic - on subsequent shifts in health-related attitudes and behavior and future-oriented policies. Our analysis builds upon self-digitized, individual-level death-register excerpts, vaccination...

Nunn & Wantchekon (2011) detect a long-lasting impact of the slave trade on current trust levels across ethnic groups in Africa. They use data from Afrobarometer's wave 3 to construct trust measures. While I can perfectly replicate the original OLS and 2SLS findings in this wave starting from...

The COVID-19 pandemic significantly disrupted daily life and exacerbated global inequalities, leading policymakers to seek innovative, evidence-based solutions to mitigate its impacts. By March 2023, the pandemic had resulted in approximately 6.88 million reported deaths and 14.83 million excess...

Research background: Counterproductive work behavior (CWB) refers to repeated wilful and deliberate behavior that damages the organization or its members and goes against the grain of social acceptability. Most of the literature focuses on manager bullying, with only a few hints of coworker...

In prosocial decisions, decision-makers face interpersonal uncertainty - uncertainty about how their choices impact others' utility. We use three approaches to show how it shapes classic patterns of prosocial behavior like ingroup favoritism, merit-based fairness, and self-favoring behavior....

This paper proposes a conceptual model of decision-making tying specific preferences to broader individual goals. In particular, the model considers two hierarchically ordered types of goals: Terminal goals, which represent fundamental objectives (e.g., health, social connection, etc.), and...

Behavioral science interventions like incentives, nudges, and boosts are increasingly used in public policy, but their effectiveness remains debated. We conducted a meta-meta-analysis on behavior change interventions across health, finance, and sustainability outcomes. Our analysis covers 838...

Many real-world scenarios involve explore-exploit decisions, balancing the pursuit of better opportunities with securing a certain but potentially suboptimal outcome. Do gendered approaches to these decisions exist? This study investigates gender differences in exploration and competition...

This study investigates the association between childhood parenting styles and the emergence of risk-taking behaviors in young adulthood, a critical life course transition. Utilizing data on risk-taking behaviors among college students, alongside variables reflecting parent-child relationships...

Interactive decision-making relies on strategic reasoning. Two prominent frameworks capture this idea. One follows a structural perspective, exemplified by level-k and Cognitive Hierarchy models, which represent reasoning as an algorithmic process. The other adopts an epistemic perspective,...

This Science for Policy report contributes to the policy debate on the importance of securing enough blood and blood products to maintain a functional healthcare system. It outlines recent progressions in the field of blood donation, offering new perspectives on factors associated with blood...

In response to the COVID-19 pandemic, many countries in the EU / European Economic Area have established applied behavioural and social science, or 'Behavioural Insights' (BI), units or networks to make recommendations to decision-makers on actionable policy and communications. On the basis of...

Goal programming (GP) is a multi-objective extension of linear programming. Interval GP (IGP) is one of the earliest methods to expand the range of preferred structures in GP. The decision maker's (DM's) utility or preference in IGP is investigated by incorporating a widening range of underlying...

Dishonesty harms economic performance and growth. However, the literature on dishonesty has used almost exclusively samples from developed countries. In addition, previous studies present non-conclusive results on how concerns for others affect lying behaviour. In view of this gap in the...

With global leadership as the new norm, discussion about followers' preferred leader behaviors across cultures is growing in significance. This study proposes a comprehensive predictive model to explore significant preferred leadership factors, drawn from the Leader Behavior Description...

In this study we explore the knowledge and beliefs regarding behavioral biases among behavioral scientists, financial professionals, and the general population. We investigate knowledge about ten prominent biases and collect beliefs about the knowledge levels of each of these subject pools by...