I study the effects of the Deferred Action for Childhood Arrivals program (DACA) on labor market outcomes among potentially eligible immigrants. DACA allowed undocumented immigrants to participate in the labor market without fear of deportation, which might be expected to increase the probability of working and allowing workers to move to higher-skilled occupations. However, using a regression discontinuity design, I find very little to no effects on the probability of working and the likelihood of working in high-skilled jobs among DACA-eligible immigrants. The confidence intervals permit modest effects on these variables, but rule out large ones. My estimates are local, mainly applicable to older individuals close to the age threshold, and not broadly generalizable to younger DACA-eligible groups.

This article examines the interplay between fiscal policy and investments in climate change mitigation and adaptation. Adaptation is funded by public revenues from taxation and public bonds, whereas households can invest in mitigation and receive subsidies. We show that adaptation and mitigation are substitutes or complements, depending on the level of economic development and fiscal policy decisions. If the capital stock is initially low, adaptation and mitigation are complements (resp. substitutes) if the mitigation subsidy is low (resp. high). When the government is in debt, we show that increasing public spending to finance adaptation and/or mitigation could be beneficial if the capital stock is high enough but could be detrimental for countries with low capital stock. Thus, we add a new argument to the debate on the optimal mix between adaptation and mitigation, namely fiscal policy and the funding schemes of these investments. Finally, we propose extensions that consider a level of adaptation proportional to pollution flow, debt financing of public investment, and public mitigation investment alongside private adaptation investment.

Tokens can serve as containers for rights, thereby facilitating the transfer of such rights. On tokenisation platforms, especially in the context of decentralised finance (DeFi), it is assumed that when a token containing a right is transferred, the right itself is transferred as well. This paper uses the “token container model” as a conceptual framework to examine whether European private law frameworks on transfers of rights are compatible with such token-based transfers. Specifically, it explores the rules on the transfer of rights in movables, the rules on the transfer of rights in immovables, and the rules on assignment of claims. This analysis reveals substantial legal obstacles to the use of tokens in transferring absolute rights or claims.

Ideological and relational polarization are two increasingly salient political divisions in Western societies. We integrate the study of these phenomena by describing society as a multilevel network of social ties between people and attitudinal ties between people and political topics. We then define and propose a set of metrics to measure ‘network polarization’: the extent to which a community is ideologically and socially divided. Using longitudinal network modelling, we examine whether observed levels of network polarization can be explained by three processes: social selection, social influence, and latent-cause reinforcement. Applied to new longitudinal friendship and political attitude network data from two Swiss university cohorts, our metrics show mild polarization. The models explain this outcome and suggest that friendships and political attitudes are reciprocally formed and sustained. We find robust evidence for friend selection based on attitude similarity and weaker evidence for social influence. The results further point to latent-cause reinforcement processes: (dis)similar attitudes are more likely to be formed or maintained between individuals whose attitudes are already (dis)similar on a range of political issues. Applied across different cultural and political contexts, our approach may help to understand the degree and mechanisms of divisions in society.

This paper is based on public comments I submitted in 2023 to the Office of Management and Budget (OMB) on the draft revisions to its Circular A-4 guidance on “Regulatory Analysis.” It includes my comments as submitted and a “prologue” and “epilogue” written after OMB published the 2023 version of Circular A-4. The major issues discussed in my and the other public comments on the 2023 revisions have been long been, and will remain, central to the practice of regulatory BCA. My public comments compare the 2023 revisions to the principles and practice of standard efficiency-based benefit–cost analysis (BCA). Standard BCA is a tool to evaluate whether regulations fix market failures and improve economic efficiency. The 2023 revisions to Circular A-4 depart from standard BCA in important ways.

Foodborne illnesses are costly to society and have been associated with local produce. The affordable “3-step wash” cleaning procedure was designed to reduce pathogens on produce. We estimate consumer willingness to pay (WTP) for food safety (i.e. 3-step washed), prepackage, and sales location attributes in locally grown produce (e.g., lettuce). On average, consumers are willing to pay $1.46 more for 3-step washed and $0.30 more for prepackaged lettuce. Additionally, consumers are willing to pay $0.16 more for fresh produce sold in natural stores and farmers markets compared to supermarkets, but $0.22 less for produce sold in other direct-to-consumer locations such as roadside stands. Higher WTP for the food safety attribute is associated with consumers who have greater risk aversion, less knowledge of foodborne illness, and stricter food safety cleaning and handling practices. Consumers highly concerned about foodborne risks also show higher WTP for both food safety and prepackage attributes. These findings can guide local farmers in making decisions about adopting pathogen-reduction cleaning procedures, selecting sales locations, and developing effective marketing strategies.

The article examines the contributions of John Dewey’s philosophical thought to an institutionalist conception that integrates the dynamics of emotions to enrich the conception of action and the analysis of the links between institutions and individuals. We first demonstrate the close connections between the enactivist approach underlying the post-Northian cognitive analysis of institutions and John Dewey’s situational approach. We then identify the main features and functions of emotions in the pragmatist’s theory. Subsequently, we outline three levels – emotional rationality, communication, and collective emotions – that illustrate how the incorporation of emotions enriches the study of institutions, drawing on North’s cognitive model. Finally, we illustrate the scope of Dewey’s theory of emotions through a concrete case (the France Télécom case), in which emotions serve as a driving force for actors’ creativity, changes in managerial practices, and a transformation of legal norms.

Wine is the most differentiated of all farm products, with much of the differentiation based on the location of production. In this paper, we estimate the effects of climate and vintage weather on California's varietal wine quality and prices. Our analysis is based on a sample of premium wines rated by Wine Spectator magazine between 1994 and 2022 and a comparable sample of secondary market auction prices from K&L Wine Merchants, each matched to spatially detailed weather data from PRISM. We find that extreme temperatures, particularly extremely hot temperatures, caused prices to decline. Absent additional adaptation, climate change will harm wine quality and disrupt quality signals from geographical indications in California's premier wine regions.

This paper examines the core features of Masahiko Aoki’s comparative institutional analysis (CIA), focusing on its methodology and institutional conceptualization. Aoki’s CIA integrates institutional and policy theory with comparative and historical analysis to explain institutional diversity and co-evolution. Departing from market-centric models, it emphasizes interdependencies among corporations, government, and society, as well as the roles of public representations and shared beliefs. Drawing on Aoki’s English and Japanese works, the paper situates CIA within his intellectual history and offers a preliminary comparison with the institutional theories of Ronald Coase, Douglass North, and Oliver Williamson. It also outlines five areas for future research, including the landscape of institutional economics, firm and corporate institutions, tech monopolies, Japan’s institutional transition and dynamic capabilities, and the co-evolution of human nature and institutions. Nearly a decade after Aoki’s passing, the paper argues that CIA remains essential for advancing institutional economics in today’s complex global landscape.

This article is based on feedback I submitted in response to the Office of Management and Budget’s (OMB’s) April 2023 request for comments on its draft revisions to Circular A-4, “Regulatory Analysis.” Much has changed since I submitted my comments in June 2023. OMB issued a final circular in November 2023 and subsequently rescinded it in February 2025. This article includes my comments as submitted, along with an introductory “prologue” and an “epilogue” that reflects on the decision to abandon the 2023 revisions and return to the 2003 Circular. My comment addressed key elements of regulatory analysis, suggested areas where OMB could provide more guidance, and identified several aspects of the 2023 Circular that appeared to be internally inconsistent or contradictory. It concluded that some of the 2023 revisions were worthwhile, while others would have obfuscated for policymakers important information on the welfare effects of regulatory actions.

Over the past 25 years, performativity has emerged as a salient focus in social sciences, yet its meta-theoretical analysis remains limited. What is performativity? How is it located empirically and treated theoretically across disciplines? Analyzing 6,741 published articles and books deploying the term performativity, this paper proposes a framework to explore performativity and reviews the transdisciplinary literature that employs the term in academic practice. Drawing on an updated version of Actor-Network Theory and studying performativity in terms of its impact on the constituents of an agencement, i.e., devices (D), actors (A), representations (R), and networks (N), we outline the term’s theoretical landscape and summarize the general threads of performativity research. The paper defines performativity as a representational intervention involving a material act of describing devices, actors, representations, or networks that affects one or more of them. The literature demonstrates that such interventions can manifest as discourses, embodied engagements, speech acts, or scientific models, among other forms.

The study examines the influence of markups on the export decisions and subsequent export intensity of firms within the Hungarian wine sector. Additionally, we evaluate the impact of entering and sustaining a presence in export markets on firms’ markups and compare the markup levels between exporting and non-exporting firms. We find that markups have a positive impact on both the probability of exporting and the export intensity, which aligns with previous findings. We demonstrate that exporting leads to an increase in markups. We find that exporters maintain higher markups even when accounting for productivity differences. Additionally, exporting can lead to higher markups because of the learning-by-exporting phenomenon. The results have significant implications. The findings imply that markups have a significant impact on the decision-making process and performance of Hungarian wine exports. Policymakers should facilitate to increase the markups of firms in order to enhance the export of wine and promote economic growth. Wine exporting firms should enhance their productivity and implement strategic pricing strategies to increase their markups and expand their exports.

This paper focuses on the comparison of networks on the basis of statistical inference. For that purpose, we rely on smooth graphon models as a nonparametric modeling strategy that is able to capture complex structural patterns. The graphon itself can be viewed more broadly as local density or intensity function on networks, making the model a natural choice for comparison purposes. More precisely, to gain information about the (dis-)similarity between networks, we extend graphon estimation towards modeling multiple networks simultaneously. In particular, fitting a single model implies aligning different networks with respect to the same graphon estimate. To do so, we employ an EM-type algorithm. Drawing on this network alignment consequently allows a comparison of the edge density at local level. Based on that, we construct a chi-squared-type test on equivalence of network structures. Simulation studies and real-world examples support the applicability of our network comparison strategy.

In the early 2000, cybersecurity breaches were classified as “Internet crimes” and therefore managed through the tools of the criminal justice system. The Budapest Convention on Cybercrime forged new incriminating provisions and new procedural guidelines, updating the categories of criminal law and criminal procedure for the digital age. This style, unfortunately, has proved to be insufficient. To face the growing number of threats, the EU has shifted towards a much more preemptive, administrative-law-based approach to cybersecurity, with a view to protect critical infrastructure and industries from disruptive attacks. The criminal layer, however, has not been replaced: the relevant, international instruments are still there, and they have been recently extended to cover more ground. The essay will examine the new wave of legislation on cybercrime such as the United Nations Cybercrime Treaty, trying to identify the interactions and the frictions between two different contrast strategies to abusive cyber operations.

This research explores the integration of regional markets for 21 food commodities in Ghana. Utilizing co-integration tests and autoregressive distributed lag models, it investigates price linkages and market responsiveness, also considering the impact of telecommunications and road infrastructure. The study reveals that markets generally adjust quicker to price increases than decreases, with disparities noted in specific regions and commodities. It emphasizes the importance of improving internet speeds and road quality to enhance market integration, suggesting policy measures to sustain and optimize agri-food networks amid global disruptions.

Dairy cows who excel at milk production also grow horns, which are dangerous to other animals and their human handlers. Recent developments in gene editing make it possible to edit a cow’s genome so that it does not grow horns. We assess from the consumer’s perspective whether the improvements in animal welfare resulting from gene-edited cows outweigh the perceived risks individuals associate with milk from these animals. We find that milk from gene-edited cows and milk from dehorned cows have lower willingness to pay relative to milk that comes from cows without mention of dehorning or gene editing.

Microplastic pollution from plastic fragments accumulating in agricultural fields threatens the world’s most productive soils and environmental sustainability. This is the first paper to address the challenge of developing a dynamic economic model to analyze the adoption of soil-biodegradable plastic mulches (BDMs) as a sustainable alternative to conventional polyethylene mulches. The model considers the trade-off between BDM degradation rates and agricultural production, seeking to balance the cost of BDMs and the cost of waste disposal. We consider both private and social perspectives under deterministic and stochastic environments. Our findings suggest that BDMs can significantly decrease long-term plastic pollution from single-use plastics in agriculture. For example, increasing landfill tipping fees incentivizes Washington State tomato growers to optimally adopt BDMs with a 61% degradation rate and to till used BDMs into the soil, reducing plastic waste accumulation in landfills. The study highlights the role of economic incentives, such as landfill fees, corrective taxes and the role of risk aversion, in promoting BDM adoption and curbing plastic pollution. The framework presented here offers valuable insights for policymakers and stakeholders seeking to foster sustainable agricultural practices and mitigate global plastic pollution.