Mental models help people navigate complex environments. This paper studies how people deal with model uncertainty. In an experiment, participants estimate a company's value, facing uncertainty about which one of two models correctly determines its true value. Using a between-subjects design, we...

This paper examines the gender influence gap in an academic setting, focusing on the Irish Economic Association (IEA) Conference review process. Using data from 2017 to 2023, we analyze whether organizers follow the recommendations of male and female reviewers equally and whether any difference...

Financial literacy assessments typically rely on sample surveys containing sets of questions designed to gauge respondents' comprehension of fundamental financial concepts necessary for making informed decisions. The answers to such questions, either categorical or continuous in nature,...

The paper finds that the post-pandemic inflation surge and subsequent decline from 2021 to 2024 had no significant impact on public support for the Euro for the EA-19 and for most individual member states of the EA-19. From 2021 to 2024, net public support for the euro remained remarkably stable...

Using longitudinal data from the Gallup Panel covering more than 30,000 U.S. employees surveyed from 2023 to 2025, I document heterogeneous adoption of generative AI and its "organizational transmission" within firms. First, I show that the share of active (occasional) AI users grew from 9% to...

This study investigates the impact of green agriculture product brand image and blockchain-based food traceability systems on enhancing product trust and its subsequent effects on online agriculture product purchase intention. As consumer demand for transparency and sustainability rises,...

This report provides a brief overview of the achievements of the Rapid Social Response Multi-Donor Trust Fund (RSR) in the fifteen years from its inception during the global financial crisis of 2008/9 to its closing in 2024. Over these fifteen years, the RSR awarded $149.8 million in 420 grants...

We test whether AI-generated news images affect outlet demand and trust. In a preregistered experiment with 2,870 UK adults, the same article was paired with a wireservice photo (with/without credit) or a matched AI image (with/without label). Average newsletter demand changes little. Ex-post...

Over the last few decades society has lost significant trust in the work of the scientific community and debated the trustworthiness of scientific findings and (policy) implications. In response, an open science framework has been proposed based on accessibility and transparency of data and...

The transition to neighborhood-scale district heating in the Netherlands frequently stalls due to the challenge of achieving a collective agreement among individual homeowners. To explore the micro-dynamics of this collective action problem, this paper introduces an agent-based model that...

The digitalization of finance has accelerated the diffusion of FinTech and raised new questions about how AI, data security and blockchain shape consumer behaviour. This article examines current FinTech users, focusing on mobile banking, security perceptions, AI-enabled personalisation and trust...

By constructing a unique international database on generalized trust covering 142 countries worldwide for 41 years from 1980 to 2020, this paper finds a pronounced intertemporal variation of generalized trust over time in a majority of countries across the globe. When analyzing the time series...

Purpose - This study examines Salvadorans' perceptions of the Bitcoin Law, which made Bitcoin legal tender on September 7, 2021. Design/methodology/approach - We administer a survey in El Salvador and analyze the data using, among other methods, OLS regressions, ordered logit and ordered probit...

We study how confidence bias affects investment in learning via experimentation, a mechanism critical for technology adoption under uncertainty. We hypothesize that bias direction and strength predict how willingness to experiment diverges from unbiased agents. We measure revealed and stated...

This paper investigates the role self-confidence plays in college applications. Using incentivized experiments, we measure the self-confidence of more than 2,000 students applying to colleges in France. This data reveals that the best female and low-SES students significantly underestimate their...

The gender gap in competitiveness is argued to explain gender differences in later life outcomes, including career choices and the gender wage gap. In experimental settings, a prevalent explanation attributes this gap to males being more (over)confident than females (we call this the...

We conduct a laboratory experiment to study how locus of control operates through people's preferences and beliefs to influence their decisions. Using the principal-agent setting of the delegation game, we test four key channels that conceptually link locus of control to decision-making: (i)...

This paper examines the gender influence gap in an academic setting, focusing on the Irish Economic Association (IEA) Conference review process. Using data from 2017 to 2023, we analyze whether organizers follow the recommendations of male and female reviewers equally and whether any difference...

Mental models help people navigate complex environments. This paper studies how people deal with model uncertainty. In an experiment, participants estimate a company's value, facing uncertainty about which one of two models correctly deter- mines its true value. Using a between-subjects design,...

Mental models help people navigate complex environments. This paper studies how people deal with model uncertainty. In an experiment, participants estimate a company's value, facing uncertainty about which one of two models correctly determines its true value. Using a between-subjects design, we...

The transformative potential of artificial intelligence (AI) in public governance is increasingly recognized across both developed and developing economies. Governments are exploring and adopting AI technologies to enhance service delivery, streamline administrative efficiency, and strengthen...

As AI-powered personalized advertising becomes increasingly prevalent in the digital marketplace, understanding its influence on consumer purchase intention is essential. This study investigates the impact of perceived personalization on purchase intention, with a particular focus on the...

This study investigates the influence of store image attributes and consumer green food trust in customer satisfaction and store loyalty within the context of Vietnam's emerging food market. Grounded in the Commitment-Trust Theory, the Open Innovation Dynamics Theory and the Theory of Planned...

This study examines the factors that influence user trust in AI-powered digital agents within organizational contexts. Employing an integrated framework that combines the Expectation Confirmation Model and the Technology Acceptance Model, we investigated how user expectations, attitudes toward...

This paper provides novel empirical evidence on how political fragmentation shapes the fiscal transmission mechanism. Using data from 16 OECD countries (1978-2019) and narrative accounts to identify exogenous fiscal interventions, we show that when political fragmentation is high, the fiscal GDP...

BRAC has over 40,000 schools worldwide. It is widely praised for serving disadvantaged students and for matching or outperforming government schools. Using data that we collected from Dhaka's slums, we test these claims. We find that BRAC serves the most disadvantaged students in our survey, but...

The rise of AI chatbots in e-commerce has revolutionized digital customer service, yet understanding the factors influencing customer adoption remains a challenge. Drawing on the Technology Acceptance Model 2 and Anthropomorphism theory, the study aims to examine how human-like interaction...

We investigate the determinants of states' policy capacity, defined as the ability of states to craft effective policies. Our model shows that the interaction between politicians' implementation decisions and bureaucrats' motivation to design effective policies can lead to the coexistence of...

The subjective judgment and discretionary actions of a manager can influence the core strategy, investment, operations, and decision-making of a company. Managerial actions from the top, particularly the board, plays a vital role in addressing this inclination. While scholars have shown interest...

This paper examines how the legacy of socialist regime in countries of Central and Eastern Europe has affected innovation and R&D cooperation and compares this to Western Europe. Our analysis reveals that the negative impact of socialism on innovation Central and Eastern European countries is...