The highly popular belief that rent-control leads to an increase in the amount of affordable housing is in contradiction with ample empirical evidence and congruent theoretical explanations. It can therefore be qualified as a misconception. We present the results of a preregistered on-line experiment in which we study how to dispel this misconception using a refutational approach in two different formats, a video and a text. We find that the refutational video has a significantly higher positive impact on revising the misconception than a refutational text. This effect is driven by individuals who initially agreed with it and depart from it after the treatment. The refutational text, in turn, does not have a significant impact relative to a non-refutational text. Higher cognitive reflective ability is positively associated with revising beliefs in all interventions. Our research shows that visual communication effectively reduces the gap between scientific economic knowledge and the views of citizens.

The contemporary relevance of Adam Smith is evidenced by continued reference to his name. Computational analysis identifies over 700 mentions of Smith and his two famous works—The Theory of Moral Sentiments and The Wealth of Nations—in post-World War 1 House of Commons debates. We find some parliamentarians appreciate Smith’s complex ideas, but most references are ‘ornamental’. Charting Smith’s use over the decades, this paper builds on Kirk Willis’ idea that studying parliamentary debates are an ideal way to understand how, at best, policy ideas, germinate and disseminate over time, or, at worst, how ‘complex ideas became slogans’.

2023 marks the tercentenary of the birth of Adam Smith. A towering figure of the Scottish Enlightenment, his writings helped to establish the discipline we now refer to as Political Economy. Indeed, many of his ideas remain the foundation of economic theories still in use today. It is this ongoing relevance, and the lessons we can take from Smith’s methods, that binds the papers in this Special Issue together. The Special Issue draws upon excellent contributions from renowned scholars covering a wide array of Smith’s contributions to economics and political economy.

Artificial intelligence (AI) is a widely discussed topic in many fields including law. Legal studies scholars, particularly in the domain of technology and internet law, have expressed their hopes and concerns regarding AI. This project aims to study how Canada's courts have referred to AI, given the importance of the reasonings of justices to the policy makers who determine society's rules for the usage of AI in the future. Decisions from all levels of both Canada's provincial and federal courts are used as the data sources for this research. The findings indicate that there are four legal contexts in which AI has been referred to in the Canadian caselaw including: legal research, investment tax credits, trademarks and access to government records. In this article the authors use these findings to make suggestions for legal information management professionals on how to develop collections and reference services that are in line with the new information needs of their users regarding AI and the rule of law.

The Artificial intelligence revolution is happening and is going to drastically re-shape legal research in both the private sector and academia. AI research tools present several advantages over traditional research methods. They allow for the analysis and review of large datasets (‘Big Data’) and can identify patterns that are imperceptible to human researchers. However, the wonders of AI legal research are not without perils. Because of their complexity, AI systems can escape the control and understanding of their operators and programmers. Therefore, especially when run by researchers with insufficient IT background, computational AI research may skew analyses or result in flawed research. Premised thus, the main goals of this paper, written by Ronald Yu and Gabriele Spina Alì, are to analyse some of the factors that can jeopardize the reliability of AI-assisted legal research and to review some of the solutions to mitigate this situation.

The estimated impacts, benefits, and costs of legalizing slot machines in Maryland are analyzed building on and contrasting with results from an impact analysis. The analysis provides estimates of the components and the total net benefits to the state and its citizens; the role of uncertainty, distributional impacts, and a basic tax alternative. The results forecast mostly positive net benefits for Maryland both in comparison to doing nothing and in comparison to raising an equivalent amount in taxes. However, if slot revenue raised from the lower income population is given more weight, then doing nothing or raising taxes appears to be preferred.

We detail the rewards and barriers to participating in multidisciplinary research (MDR) using a 2011 survey of applied economists at U.S. universities. We compare these findings with an earlier 1993 survey to assess if rewards and barriers have changed over time. Different administrative levels of U.S. universities are sending contradictory signals regarding rewards from MDR. External funding agencies convey positive signals. Although the scope and breadth of questions addressed by applied economists are changing over time, institutional incentives and reward structures are not keeping pace with these changes. Progress toward adapting to new professional demands has been slow.

This essay considers the literature on the topic of social capital in relation to the economic science, and opens new perspectives of research in this area. This essay starts with a walk through the history of economic thought that has influenced social capital literature. Afterwards, the reader will find a discussion on different perspectives of research that have been followed up to now and some others in relation with the microeconomic foundations of the concept of social capital, and its connexion with economic growth and finance.