|
on Macroeconomics |
| By: | Hanno Kase; Leonardo Melosi; Sebastian Rast; Matthias Rottner |
| Abstract: | When public debt is elevated, the fiscal cost of fighting inflation rises sharply, as interest rate hikes increase government interest expenditures. We formalize this mechanism in a nonlinear New Keynesian model with a state-dependent fiscal constraint on monetary policy. High debt may dampen the monetary response to inflation, generating an inflationary bias even though government debt remains fully fiscally backed. The interaction between high debt and inflationary cost-push shocks makes the fiscal limit more likely to bind, amplifying inflation. In demand-driven downturns, the fiscal constraint may become more restrictive than the zero lower bound, forcing the central bank to either print money to purchase excess debt or accept fiscal dominance. |
| Keywords: | fiscal limits, public debt, monetary policy, inflation, zero lower bound, fiscal space, nonlinear new Keynesian models |
| JEL: | E31 E52 E62 E58 |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:bis:biswps:1328 |
| By: | Philippe Bacchetta; Kenza Benhima; Yannick Kalantzis; Maxime Phillot |
| Abstract: | We build a two-country heterogenous-agent non-Ricardian model featuring asset scarcity and financial frictions in international capital markets. Due to the non-Ricardian nature of our framework, a demand for liquidity emerges and the supply of bonds matters. We show that shocks affecting the supply or demand of assets have very different international spillovers for an economy in a liquidity trap. A decrease in the supply of assets issued abroad leads to an asset shortage domestically. In normal times, the nominal interest rate decreases, stimulating investment and output. In a liquidity trap, deflation hits instead and the currency appreciates, which may cause a recession. |
| Keywords: | International Spillovers, Zero Lower Bound, Liquidity Trap, Asset Scarcity |
| JEL: | E40 E22 F32 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:bfr:banfra:1032 |
| By: | Alexander Mihailov; Giovanni Razzu; Zhe Wang |
| Abstract: | This paper examines the gendered effects of monetary policy shocks on key labour market outcomes in the Euro Area spanned by the 11 original member states from 2000 to 2016. Using a quarterly panel dataset and an identification strategy based on high-frequency financial surprises, we isolate exogenous monetary policy shocks from central bank information effects and trace their transmission across labour market outcomes for men and women. We provide new evidence on the distributional consequences of the common monetary policy shocks originating at the European Central Bank. A contractionary shock significantly increases unemployment for both genders, with systematically larger effects for men. At the same time, women exhibit a stronger rise in labour force participation, consistent with household labour supply adjustments. Gender differences in unemployment and participation are primarily driven by individuals aged 25–55 and are most pronounced among those with basic and intermediate education. Finally, labour market institutions shape the magnitude of these effects, either mitigating or amplifying gender disparities. |
| Keywords: | gender gaps, labour market outcomes, monetary policy shocks, labour market institutions, Euro Area |
| JEL: | E24 E32 E52 F45 J16 J24 |
| Date: | 2026–02–08 |
| URL: | https://d.repec.org/n?u=RePEc:rdg:emxxdp:em-dp2026-01 |
| By: | Simon Deakin; Linda Shuku |
| Abstract: | The use of natural language processing (NLP) and machine learning (ML) to analyse the structure of legal texts is a fast-growing field. While much attention has been devoted to the use of these techniques to predict case outcomes, they have the potential to contribute more broadly to research into the nature of legal reasoning and its relationship to social and economic change. In this paper, we use recently developed NLP and ML methods to test the claim that judicial language is systematically shaped by economic shocks deriving from the business cycle and by long-run trends in the economy associated with technological change and industrial transition. Focusing on cases decided under the Anglo-Welsh poor law between the 1690s and 1830s, we show that the terminology used to describe the right to poor relief shifted over time according to economic conditions. We explore the implications of our results for the poor law, the theory of legal evolution, and socio-legal research methods. |
| Keywords: | Law and computation, poor law, legal evolution, natural language processing |
| JEL: | J41 K31 N33 |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:cbr:cbrwps:wp546 |
| By: | Nour Nsiri (UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes); Georgios Kleftodimos (CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes, UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement); Sophie Drogué (UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement) |
| Abstract: | Context To improve agricultural productivity and water sustainability in water-scarce regions, it is essential to understand the efficiency and diversity of farming practices Objective This study aims to assess the diversity and efficiency of farming systems in Morocco's Chtouka-Massa plain. It focuses on resource management, agricultural intensification, and water use, identifying inefficiencies and proposing sustainable solutions. Methods Using Principal Component Analysis and Hierarchical Clustering, we classify 40 farm households into three distinct typologies: (i) extensive cereal-arboriculture systems, (ii) semi-intensive mixed cereal-vegetable systems, and (iii) intensive vegetable farming systems. A meta-frontier approach combined with Data Envelopment Analysis (DEA) is then applied to assess disparities in resource efficiency, technological performance, and environmental sustainability among these typologies. Results and conclusions Our results show that extensive cereal-arboriculture systems exhibit the highest resource efficiency—particularly in water, nitrogen, and labor—but achieve the lowest gross margins due to limited agricultural intensification. Semi-intensive mixed systems demonstrate moderate efficiency but consume the largest amounts of water, largely sourced from subsidized private wells. Intensive vegetable farming systems, while generating the highest gross margins, are the least efficient due to high input costs, reliance on desalinated water, and labor-intensive practices. Targeted policy interventions are needed to optimize resource use and promote sustainable practices adapted to each farming typology. Significance This study provides actionable insights for policymakers aiming to enhance the sustainability of agricultural systems and groundwater resources in arid and semi-arid regions. The findings support the need for targeted policies to enhance groundwater management. |
| Keywords: | Farm household typology, Efficiency, DEA Model, Meta-Frontier, Farm household typology Efficiency DEA Model Meta-Frontier |
| Date: | 2025–12 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05398998 |
| By: | Samir Orujov (LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO EPE - Université de Brest - CNRS - Centre National de la Recherche Scientifique); Victor Elvira (The University of Edinburgh, Institut TELECOM/TELECOM Lille1 - IMT - Institut Mines-Télécom [Paris], CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique); Audrey Poterie (LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO EPE - Université de Brest - CNRS - Centre National de la Recherche Scientifique); Farid Rajabov (UCL - University College London [UCL]); Francois Septier (LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO EPE - Université de Brest - CNRS - Centre National de la Recherche Scientifique, UBS - Université de Bretagne Sud) |
| Abstract: | The log-TGARCHX model is less restrictive in terms of the inclusion of exogenous variables and asymmetry lags compared to the GARCHX model. Nevertheless, adding less (or more) covariates than necessary may lead to under- or overfitting, respectively. In this context, we propose a new algorithm, called VS-LTGARCHX, which incorporates a variable selection procedure into the log-TGARCHX estimation process. Furthermore, the VS-LTGARCHX algorithm is applied to extremely volatile BTC markets using 42 conditioning variables. Interestingly, our results show that the VS-LTGARCHX models outperform benchmark models, namely the log-GARCH(1, 1) and log-TGARCHX(1, 1) models, in one-step-ahead forecasting. |
| Keywords: | variable selection, Bitcoin volatility, log-GARCHX, GARCH |
| Date: | 2025–05–16 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04283159 |
| By: | Lin Jones (United States International Trade Commission); Serge Shikher (United States International Trade Commission); Yoto Yotov (Center for Global Policy Analysis, Drexel University) |
| Abstract: | This paper examines the impact of various determinants of trade, including geopolitical risks, on global supply chains using a structural gravity model and the newly constructed International Trade and Production Database by End Use (ITPD-U), which disaggregates trade into intermediate, capital, and consumer goods. Results show that intermediate goods trade responds differently to standard trade determinants compared to capital and consumer goods: distance is the largest barrier, while regional agreements and currency unions have weaker effects. Geopolitical risks reduce trade overall, though its impact is notably smaller for intermediate goods, reflecting the "stickiness" of global supply chains. These results highlight the relatively high trade costs and structural inertia characterizing intermediate goods trade amid geopolitical uncertainty. |
| Keywords: | Intermediate goods trade, New data, Determinants |
| JEL: | F10 F14 F16 |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:drx:wpaper:202603 |
| By: | Ghita Sebban (ISCAE - Institut Supérieur de Commerce et d'Administration des Entreprises); Karim Charaf (ISCAE - Institut Supérieur de Commerce et d'Administration des Entreprises) |
| Abstract: | Abstract This paper presents a structured literature review and bibliometric analysis aimed at exploring how Artificial Intelligence (AI) is reshaping the tools, practices, and roles within the management control function. Drawing from a corpus of 57 peer-reviewed articles extracted from the Web of Science database, published between 2010 and the first half of 2025, and selected through the PRISMA protocol, the study uncovers key research trends, conceptual developments, and the main challenges surrounding AI adoption in management accounting and control. The reseach problem statement guiding this study is as follows : To what extent does AI generate a paradigmatic shift in management control, and how does it redefine the role of the controller ? The bibliometric findings highlight both the growing academic interest in the topic and its exploratory, yet fragmented, nature. The results show that AI enhances the management control function through significant improvements of its tools through automation, predictive capabilities and more intercative decision-making, and offers the potential to transform its scope. Beyond these evolutions, AI opens the way for a more material revolution and for a significant paradigm shift from an augmented controller supported by digial tools to the prospect of semi-autonomous AI agents supervised by controllers. The paper concludes that this transformation remains underexplored and calls for future research on its theoritical, methodological and ethical implications for the management control function. |
| Abstract: | Résumé Cet article présente une revue de littérature structurée et une analyse bibliométrique visant à explorer comment l'Intelligence Artificielle (IA) remodèle les outils, pratiques et rôles au sein de la fonction de contrôle de gestion. S'appuyant sur un corpus de 57 articles, extraits de la base de données Web of Science publiés entre 2010 et le premier semestre 2025 et sélectionnés selon le protocole PRISMA; l'étude met en lumière les principales tendances de recherche, les développements conceptuels et les principaux défis entourant l'adoption de l'IA en comptabilité et contrôle de gestion. La problématique de recherche qui guide cette étude est la suivante : dans quelle mesure l'IA génère-t-elle un changement de paradigme dans le contrôle de gestion et comment redéfinit-elle le rôle du contrôleur ? Les résultats bibliométriques soulignent à la fois l'intérêt académique croissant pour le sujet et son caractère exploratoire, quoique fragmenté. Les résultats montrent que l'IA améliore la fonction de contrôle de gestion à travers à des avancées significatives de ses outils grâce à l'automatisation, aux capacités prédictives et à une prise de décision plus interactive, et offre le potentiel d'en transformer le champ d'application. Au-delà de ces évolutions, l'IA ouvre la voie à un changement de paradigme significatif, passant d'un contrôleur augmenté s'appuyant sur des outils numériques à la perspective d'agents IA semi-autonomes supervisés par des contrôleurs. L'article conclut que cette transformation reste sous-explorée et appelle à de futures recherches sur ses implications théoriques, méthodologiques et éthiques pour la fonction contrôle de gestion. |
| Keywords: | Bibliometric Analysis, Management Control, Strategic Transformation, Paradigm shift, Adoption technologique. Evolution paradigmatique., Transformation stratégique, Analyse bibliométrique, Contrôle de gestion, Intelligence artificielle, Intelligence artificielle Contrôle de gestion Analyse bibliométrique Transformation stratégique Adoption technologique. Evolution paradigmatique. JEL Classification : G00 M10 O32 Type du papier : Recherche Théorique Artificial Intelligence Management Control Bibliometric Analysis Strategic Transformation Technology Adoption. Classification JEL : G00 M10 O32 |
| Date: | 2025–11 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05380742 |
| By: | Hiau Kee (The World Bank); Cristina Neagu (The World Bank); Yoto Yotov (Center for Global Policy Analysis, Drexel University) |
| Abstract: | We propose a theory-based tariff index - the Balanced Trade Tariff Index (BTTI) - a uniform tariff that results in balanced bilateral trade. The BTTI decomposes into a preference-adjusted tariff term and a trade deficit term. Constructing the BTTI requires bilateral product-level import demand elasticities, which we estimate via a translog GDP function with US data, 2010-2023. The elasticities are heterogeneous across products, trade partners, and depending on the direction of trade, with broader implications for quantifying the gains from trade. The resulting BTTIs are significantly smaller than the 'Liberation Day' tariffs for most countries, and incurring less deadweight losses. |
| Keywords: | Reciprocal Tariffs, Balanced Trade, Bilateral Import Demand Elasticity, Trade Deficits |
| JEL: | F13 F14 F16 |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:drx:wpaper:202604 |
| By: | Delespesse, Elise; Martin-Shields, Charles |
| Abstract: | Ces dernières années, le Maroc est passé du statut de pays de transit et d'émigration à celui de pays d'installation. Cette évolution est en grande partie due à l'augmentation des restrictions frontalières et des refoulements, lesquels ont rendu les routes migratoires vers l'UE moins accessibles. En conséquence, Casablanca, qui accueillait déjà des migrants de manière durable, s'affirme désormais davantage comme un lieu central d'installation urbaine que comme une étape transitoire du parcours migratoire. Des entretiens menés avec des ONG et des OSC travaillant avec des migrants urbains et des personnes déplacées à Casablanca ont mis en évidence les façons dont la coopération au développement peut avoir un impact positif sur les contextes de migration urbaine. En effet, l'attitude plus permissive des autorités locales de Casablanca à l'égard des communautés migrantes contraste avec les pratiques policières répressives courantes à Rabat et dans les zones frontalières, ouvrant ainsi un espace à l'émergence d'organisations informelles de migrants au sein des communautés d'accueil. Ces organisations sont devenues des interlocuteurs clefs des institutions officielles, jouant un rôle essentiel dans le rétablissement de la confiance des migrants et des communautés d'accueil envers celles-ci. Avec le soutien des OSC et des ONG, les communautés elles-mêmes ont également trouvé des moyens de favoriser l'inclusion et la coopération. Les valeurs islamiques et la tradition marocaine d'hospitalité influencent la mise à disposition des biens communs au niveau des ménages et des quartiers. Les communautés d'accueil et les migrants bénéficient également, sur le plan légal, des services d'éducation et de santé fournis par les organisations gouvernementales et non gouvernementales. Le principal défi consiste àgarantir que toutes les parties soient informées des services qui leur sont accessibles, dans de nombreux cas indépendamment de leur statut migratoire. Pourtant, le discours contemporain sur la migration et le déplacement au Maroc est imprégné de xénophobie, d'exclusion et de racisme, problèmes aggravés par un environnement médiatique très critique à l'égard des migrants et des personnes déplacées. Néanmoins, les experts ont souligné l'impact des interactions positives répétées entre les migrants et les communautés d'accueil pour tempérer ces discours hostiles. Messages politiques clefs : - La santé, l'éducation et le logement sont des besoins universels pour les communautés d'accueil et les migrants. Il faut veiller à ce que les programmes financés soient accessibles à toutes les personnes vivant dans le quartier, qu'elles soient hôtes ou migrantes, et que les espaces, services ou ressources auxquels ils aboutissent constituent des biens communs autour desquels l'identité de la communauté peut se construire. - Il est essentiel de faire connaître l'histoire des migrations dans les zones d'arrivée. Ces récits peuvent aider les organisations internationales à contextualiser leurs programmes et à inscrire l'immigration et les installations dans une histoire plus large autour de laquelle peut se construire une identité inclusive. Renforcer la coopération entre les organisations au niveau des villes et des municipalités à l'échelle nationale. La coopération entre les villes peut combler les lacunes en matière de connaissances sur la politique migratoire nationale et réduire la dispersion des efforts des OSC et des ONG qui travaillent avec les migrants. |
| Keywords: | Migration, déplacement, frontières, cohésion sociale, Casablanca, Maroc |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:idospb:335915 |
| By: | Carlos Plata (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse) |
| Abstract: | This article explores the complexities of intangible knowledge transfer in university- industry collaborations, offering a comprehensive view of the current landscape and its future direction. Using a bibliometric and systematic literature review of 1496 articles and 20 selected studies, the research identifies key trends and patterns. Despite differences between academic and practical domains, the study finds that informal networking and personal interactions facilitate mutually beneficial partnerships, regardless of industry type, firm size, or academic specialization. The paper highlights the crucial role of intangible knowledge transfer platforms in fostering effective collaborations and advocates for streamlined protocols to enhance knowledge exchange between academia and businesses. Introducing the Unity Index, the paper provides a novel tool to analyze key authors and relationships between variables, offering new insights and opportunities for future research. This study emphasizes the critical importance of intangible knowledge transfer in university-industry relationships, addressing gaps often overlooked in traditional analyses. |
| Keywords: | University-industry collaboration, Knowledge transfer, Intangible knowledge, Bibliometric analysis |
| Date: | 2024–07–25 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05454253 |
| By: | Matej Lorko; Maros Servatka; Robert Slonim |
| Abstract: | Many charitable organizations invite potential donors to first join a registry before soliciting donations from those who have joined. Behavioral theories suggest that the choice architecture of registry enrollment can influence not just participation but also future giving. Some approaches may be relatively more likely to increase the likelihood of joining but reduce the subsequent propensity to donate and the amount donated, while other methods might have the opposite effect. We experimentally test four behavioral theories – overhead aversion, status quo bias, reciprocity, and moral consistency – in a two-stage donor engagement model. We find that (1) disclosing registry-related overhead costs decreases donations, (2) changing the default enrollment method (op-in vs. opt-out) does not affect enrollment nor donations, (3) targeting reciprocity by offering a small gift conditional on joining the registry boosts enrollment but not donations, and (4) targeting moral consistency by requesting an upfront contribution does not decrease the likelihood of joining the registry and improves charity returns. Our findings emphasize how subtle differences in early-stage donor approach design can influence longerterm fundraising outcomes. |
| Keywords: | charitable giving, donor registry, overhead aversion, status quo bias, reciprocity, moral consistency, experiment |
| Date: | 2025–12 |
| URL: | https://d.repec.org/n?u=RePEc:cer:papers:wp809 |
| By: | Ai Chin Thoo (Universiti Teknologi Malaysia, 81310, Johor, Malaysia Author-2-Name: Yitong Wang Author-2-Workplace-Name: Universiti Teknologi Malaysia, 81310, Johor and Malaysia Author-3-Name: Chun Hou Ng Author-3-Workplace-Name: Universiti Teknologi Malaysia, 81310, Johor and Malaysia Author-4-Name: Jeo Lo Ying Tuan Author-4-Workplace-Name: Xi'an Jiaotong-Liverpool University, 81310, Taicang, China Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:) |
| Abstract: | " Objective - The Fourth Industrial Revolution has reshaped digital marketing by positioning social media influencers (SMIs) as key drivers of consumer engagement and brand promotion. Although businesses worldwide increasingly rely on SMIs, limited research has examined how their credibility, specifically attractiveness, trustworthiness, and expertise, influences consumer behaviour in Malaysia. Methodology/Technique - This study addresses this gap by investigating the relationships between SMI credibility, brand attitude, electronic word-of-mouth (eWOM), and purchase intention among Malaysian social media users. Using purposive sampling, a total of 200 valid responses were collected and analysed using SPSS for descriptive statistics and SmartPLS for structural equation modelling. Findings - The results indicate that trustworthiness and expertise significantly shape brand attitude, which, in turn, mediates the positive effects of these constructs on eWOM and purchase intention. In contrast, attractiveness did not have a significant impact. Although eWOM was positively correlated with purchase intention, its direct effect was not statistically significant, suggesting that other factors may exert a stronger influence. Novelty - Overall, these findings underscore the importance of trust and expertise in influencer marketing and offer insights for developing culturally relevant and effective digital campaigns in Malaysia. Type of Paper - Empirical" |
| Keywords: | Social Media Influencers; Consumer Purchase Intentions; Trustworthiness; Attractiveness; Expertise; Digital Marketing; eWOM. |
| JEL: | M31 M37 |
| Date: | 2026–03–31 |
| URL: | https://d.repec.org/n?u=RePEc:gtr:gatrjs:jmmr360 |
| By: | Fry, Tim R. L.; Harris, Mark N. |
| Abstract: | A plethora of tests for the Independence of Irrelevant Alternatives (IA) property of Logit models of discrete choice behavior has been proposed in the literature. These tests are based upon asymptotic arguments and little is known about their size and power properties in finite samples. This paper uses a Monte Carlo simulation study to investigate the size and power properties of six tests for IIA in the multinomial Logit (MNL) model. Our results show that tests based upon partitioning the choice set appear to have very poor size and power properties in small samples. |
| Keywords: | Research Methods/Statistical Methods |
| URL: | https://d.repec.org/n?u=RePEc:ags:monebs:267413 |
| By: | Brian C. Albrecht; Alex Tabarrok; Mark Whitmeyer |
| Abstract: | Price controls kill the incentive for arbitrage. We prove a Chaos Theorem: under a binding price ceiling, suppliers are indifferent across destinations, so arbitrarily small cost differences can determine the entire allocation. The economy tips to corner outcomes in which some markets are fully served while others are starved; small parameter changes flip the identity of the corners, generating discontinuous welfare jumps. These corner allocations create a distinct source of cross-market misallocation, separate from the aggregate quantity loss (the Harberger triangle) and from within-market misallocation emphasized in prior work. They also create an identification problem: welfare depends on demand far from the observed equilibrium. We derive sharp bounds on misallocation that require no parametric assumptions. In an efficient allocation, shadow prices are equalized across markets; combined with the adding-up constraint, this collapses the infinite-dimensional welfare problem to a one-dimensional search over a common shadow price, with extremal losses achieved by piecewise-linear demand schedules. Calibrating the bounds to station-level AAA survey data from the 1973-74 U.S. gasoline crisis, misallocation losses range from roughly 1 to 9 times the Harberger triangle. |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2602.12066 |
| By: | Alabrese, Eleonora; Capozza, Francesco; Garg, Prashant |
| Abstract: | As social media becomes prominent within academia, we examine its reputational costs for academics. Analyzing Twitter posts from 98, 000 scientists (2016-22), we uncover substantial political expression. Online experiments with 4, 000 U.S. respondents and 135 journalists, rating synthetic academic profiles with different political affiliations, reveal that politically neutral scientists are seen as the most credible. Strikingly, political expressions result in monotonic penalties: Stronger posts more greatly reduce the perceived credibility of scientists and their research and audience engagement, particularly among oppositely aligned respondents. Two surveys with scientists highlight their awareness of penalties, their perceived benefits, and a consensus on limiting political expression outside their expertise. |
| Keywords: | Twitter, Scientists' Credibility, Polarization, Online Experiment |
| JEL: | C93 D72 D83 I23 Z10 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:wzbiii:336443 |
| By: | Maalsen, Sophia; Clarke, Andrew; Daniel, Claire; Floreani, Samantha; Humphry, Justine; Martin, Chris; Przhedetsky, Lina; Rogers, Dallas; Sadowski, Jathan; Soundararaj, Balamurugan |
| Abstract: | This research explores how property technology (PropTech) is used in Australia’s private and social rental sectors to collect and process applicant and tenant personal information. It examines the implications of this for individuals and housing access, and whether existing policy and legal frameworks are fit-for-purpose. About one-third of Australian households rent. PropTech’s role in mediating access to housing is increasing. It is being used for applicant screening, advertisement targeting and accessing tenant ‘blacklist’ databases. The digital collection and use of personal information raises concerns about data security, privacy, and discrimination. There is an urgent need to better understand PropTech’s role and impact and ensure Australia’s policy and regulatory frameworks are protecting renters. |
| Date: | 2026–01–28 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:nj64b_v1 |
| By: | Hiroyuki Yamada (Keio University); Anh Tuyet Nguyen (Independent Researcher); Yasuharu Shimamura (Aoyama Gakuin University); Midori Matsushima (University of Tsukuba) |
| Abstract: | This study investigates whether asymmetric information in the public health insurance market remains empirically relevant as coverage approaches universal levels. Focusing on Vietnam’s public health insurance system – characterized by a uniform benefit package and a gradual transition toward universal health coverage – we analyze five waves of nationally representative survey data spanning 2004 to 2020. Following the methodology of Chiappori and Salanié (2000), we test for a conditional correlation between insurance enrollment and realized health risks. Our results consistently demonstrate the persistence of asymmetric information throughout the study period, even as aggregate coverage among working-age adults exceeded 80% by 2020. Subgroup analyses reveal that while selection effects weaken in groups subject to near-automatic enrollment, such as government employees and students, they remain deeply entrenched among private-sector workers, the self-employed, and dependents who retain greater discretion in participation. These findings underscore that high aggregate coverage does not mechanically eliminate informational frictions. Consequently, the study highlights the critical importance of enrollment design and effective enforcement mechanisms in sustaining robust risk pooling and financial viability during the final stages of the transition to Universal Health Coverage. |
| Keywords: | Asymmetric Information; Public Health Insurance; Universal Health Insurance Coverage; Vietnam |
| JEL: | I13 I15 I18 O17 |
| Date: | 2025–02–04 |
| URL: | https://d.repec.org/n?u=RePEc:keo:dpaper:dp2026-001 |