Digital Commons Network^™

Curating The Liberal Arts: High-Impact Approaches To Teaching Medical Humanities In The Archives, Alyssa Culp, Liz Bloodworth

Journal of Contemporary Archival Studies

This article emphasizes high-impact practices in the archives and encourages instructors and archivists to use prolonged collaboration as a way to teach digital learners analog thinking. The digital and physical exhibits we discuss were designed to model liberal arts thinking and curate experiential learning opportunities that led students to make connections between artifacts and lived experiences. Our case study focuses on one course developed with sustained archival interaction, which demonstrates an effective use of archives for promoting active learning through direct engagement with primary source materials in a liberal arts environment and thereby serves as an example of partnership for …

The Lingering Effects On Junk Bond Spreads Of The Fed’S 2020 Corporate Bond Backstop Facilities, John V. Duca, An Nguyen

Journal of Financial Crises

The US corporate bond market is typically disrupted during financial crises, when uncertainty and risk premiums are high and bond issuance is depressed. During the COVID-19 recession, the Federal Reserve introduced two unprecedented interventions: the Primary Market Corporate Credit Facility and Secondary Market Corporate Credit Facility. These backstop facilities stood ready to purchase corporate bonds when corporate bond spreads were wide. While existing literature highlights their effects on investment-grade bonds, the implications for high-yield (junk) bonds remain less well understood. We track uncertainty using the Cboe Volatility Index, or VIX; Jurado, Ludvigson, and Ng’s measures of macroeconomic uncertainty; and other …

Read, Evaluate, Cite: Using Chatgpt To Teach Primary Source Literacy, Victoria Jones

Journal of Contemporary Archival Studies

For the last three years, generative artificial intelligence and its uses have been a frequent topic of conversation. In education, many of us have wondered about the impact that generative AI will have on teaching and student learning. The present study considers the benefits and challenges of using generative AI tools in archival education to improve students’ primary source literacy skills. The focus of the research project is an assignment that uses ChatGPT to remove one of the challenges of developing primary source skills: historical writing. In doing so, the students were able to focus on practicing key archival research …

Growth With New And Old Technologies, Bernardo S. C. Ribeiro

Cowles Foundation Discussion Papers

This paper proposes a semi-endogenous growth theory that incorporates technology vintages and the endogenous evolution of multiple technological paradigms through innovation. It provides a characterization of both balanced growth equilibrium and transitional dynamics in an environment where new technologies continuously emerge. From a positive perspective, the model rationalizes two distinct empirical patterns. Using two centuries of US patent data, I first document that the age profile of patents has a pronounced hump shape: most contemporary patents build upon technologies that are between 50 and 100 years old. Second, this age profile has remained stable throughout the past century. From a …

Information Revelation In Constant-Sum Games: Elections And Beyond, Navin Kartik, Francesco Squintani, Katrin Tinn

Cowles Foundation Discussion Papers

Do elections aggregate the private information of office-motivated candidates? Our answer stems from a general result for two-player constant-sum Bayesian games with type-independent payoffs. Under a “completeness” statistical condition, every “identifiable” equilibrium is an ex-post equilibrium. Applied to Downsian elections, the ex-post property implies a sharp bound on information aggregation: equilibrium voter welfare is at best equal to the efficient use of a single candidate’s information. In canonical specifications, politicians may “anti-pander” (overreact to their information), whereas some degree of pandering would be socially beneficial. We discuss other applications of the ex-post result.

Strengthening The Holy Athlete: Lay Ascesis And Athletics In The Works Of John Chrysostom, Stephanie R. Roston

Effervescence: Yale Divinity School's Student Journal of Religion

Contemporary fitness influencers often compel their audiences by appealing to the felt connection between physical and moral-spiritual conditioning, but this was also true for John Chrysostom and his attending congregations in late antiquity. Chrysostom believed that body and soul might be brought into healthy, transparent alignment through the cultivation of embodied training grounds for virtue, and he repeatedly utilized athletic imagery in his homilies and baptismal liturgy to emphasize that the cognitive attention necessary for such work is strengthened over time through repeated physical regimens such as fasting and vigils. Warning against hypocrisy, he looked to athletes and ascetics for …

Measure By Measure: Reflections On Building A Quiz Map For Critical Caribbean Digital Pedagogy, Ra Bacchus, Medardo G. Rosario, Alexander S. Butler

archipelagos: a journal of Caribbean digital praxis

This article reflects on the web development of a digital quiz map designed to help students critically engage with the representation of the Caribbean in digital space. Emerging from workshops organized by Visiones del Caribe—a digital humanities initiative using digitized maps and archives to teach Caribbean history, culture, and cartography—this tool responds to students’ inquiries about the region’s spatial boundaries. The quiz invites students to select on a map those countries and territories they consider part of the Caribbean, prompting reflection on the diversity of perspectives shaping Caribbean identity. Drawing from the discourse of critical cartography and digital pedagogy, we …

Acervos Documentales De Puerto Rico Y El Caribe @ Upr-Río Piedras: On Designing Digital Strategies For Preservation And Access Of Unique Puerto Rican And Caribbean Studies Collections, Mirerza González-Vélez, Mila Aponte-González

archipelagos: a journal of Caribbean digital praxis

This paper documents Acervos Digitales de Puerto Rico y el Caribe @ UPR-Río Piedras, its origins, goals, activities and participants. It reflects on the team engagement with fundamental discussions regarding the use of Omeka in a Caribbean context, that resulted in the articulation and enactment of ethical principles for digital curation, as well as in its commitment for fundamental digital preservation efforts based on minimal technology requirements. The paper also provides an assessment of its continuity as a DH initiative committed to preserving, improving open access, and building capacity for the effective use of unique digitized humanities collections, and poses …

Digital Research Tools, Newspaper Texts, And Enslaved Fugitives In The Atlantic World, Gunvor Simonsen, Natacha Klein Käfer, Heather Freund, Felicia J. Fricke

archipelagos: a journal of Caribbean digital praxis

This article demonstrates the benefits and pitfalls of utilizing Natural Language Processing to structure a large corpus of newspaper adverts on fugitive enslaved people from the Atlantic World between 1766 and 1821. We evaluate a model for multilingual event extraction trained specifically for fugitive ads and jail lists in its capacity to extract correctly the attributes relevant for historical analysis. Finally, we discuss how the current model may be used to expand and qualify databases concerning enslaved fugitives in the eastern Caribbean.

A Case For Societal Provenance: Marguerite Harper As Told By The Men She Represented, V. Emily Cranwell Deinert

Journal of Contemporary Archival Studies

This paper argues for making societal provenance the grounding framework for archival descriptive standards to ensure that important voices already present in archives are no longer buried. This study reclaims from archival obscurity the career of literary agent Marguerite E. Harper to illustrate the need for this expansion. Harper proves strikingly absent from some of the archives for the authors she represented. Likely an unwitting omission from archivists that uncritically accepted the narratives of these male authors, Harper’s erasure provides a potent example of the ways that archival descriptive standards may unintentionally further silence historically marginalized voices within archives. The …

Teen Suicide And The Outcomes Of Surviving Peers, Emily Cuddy, Janet Currie, Elisa Jácome, Lucy Manly

Cowles Foundation Discussion Papers

By age 17, a quarter of U.S. students have experienced a peer suicide. Using linked administrative data from South Carolina and a matched difference-in-differences design, we find that exposure to a peer’s self-harm death increases the probability of a self-harm diagnosis by nearly 50% and both the incidence and frequency of mental health visits. Effects on care use and criminal behavior are concentrated among white boys, and responses diverge by prior mental health history: students without a prior diagnosis increase felony offending rather than care-seeking. Deaths from assault and transportation accidents produce no comparable rise in self-harm, consistent with contagion.

When Does Emigration Reduce Domestic Economic Activities? Evidence On The Loss Of Management Capacity From A Visa Lottery, Marup Hossain, Ahmed Mushfiq Mobarak

Cowles Foundation Discussion Papers

Economic development is often conceived as structural transformation and migration out of rural agriculture (Lewis, 1954; Fei & Ranis, 1964). Understanding development therefore requires us to identify how rural economies transform in response to emigration. We study how international migration reshapes domestic economic activity in origin households using a randomized visa lottery that gave Bangladeshi men job opportunities in Malaysia. Winning the lottery raises total household income through remittances, but income earned in Bangladesh declines due to contractions in nonfarm business activity. In contrast, crop income remains stable despite large reductions in agricultural input expenditures, because farming gets delegated through …

When Does Emigration Reduce Domestic Economic Activities? Evidence On The Loss Of Management Capacity From A Visa Lottery, Marup Hossain, Ahmed Mushfiq Mobarak

Discussion Papers

Economic development is often conceived as structural transformation and migration out of rural agriculture (Lewis, 1954; Fei & Ranis, 1964). Understanding development therefore requires us to identify how rural economies transform in response to emigration. We study how international migration reshapes domestic economic activity in origin households using a randomized visa lottery that gave Bangladeshi men job opportunities in Malaysia. Winning the lottery raises total household income through remittances, but income earned in Bangladesh declines due to contractions in nonfarm business activity. In contrast, crop income remains stable despite large reductions in agricultural input expenditures, because farming gets delegated through …

The Effect Of Childcare On Female Labor Supply And Child Development In Low And Middle Income Countries, Serena Goldberg, Costas Meghir

Discussion Papers

Childcare services can offer an opportunity for women to develop their careers and increase household income. At the same time, it can affect the development of children, depending on the quality of care. We first develop a collective model of the household as a conceptual framework to show how improving the availability of childcare can affect mothers’ labor market opportunities and earnings and how it can affect child development. We then review the literature on the effects of childcare on the employment and earnings of women and on child development. Childcare can increase mothers’ employment. However, limited work opportunities or …

Fast Online Inference On Semiparametric Models, Xiaohong Chen, Elie Tamer, Qingsong Yao

Cowles Foundation Discussion Papers

This paper develops a framework for fast online inference on semiparametric models with large sample sizes and possibly many covariates. The computational algorithm itself is the object of statistical study: after a globally consistent warm start in the first phase, the path of averaged online iterates generated in the second phase automatically delivers estimators with optimal convergence rates and valid confidence sets. Both phases require only a single pass over the data stream and are well suited to streaming data or to settings with storage/privacy constraints. For semiparametric monotone index models, the averaged trajectory of the second phase lead to …

The Risk Protection Value Of “Moral Hazard”, Angie Acquatella, Victoria Marone

Cowles Foundation Discussion Papers

Health insurance lowers the out-of-pocket price of healthcare, and it is well-established that this leads to higher utilization of care. This manifestation of “moral hazard” is typ ically viewed as a social cost of insurance. Within a standard model, this paper shows that a consumer’s ability to change her behavior in response to insurance can also play a central role in the ability of insurance to protect her from risk. We provide a theoretical characterization of this channel and quantify its importance empirically. Under stan dard parameterizations and estimates in the literature, we find that insurance-induced healthcare utilization can account …

Doctor Decision Making And Patient Outcomes, Janet Currie, W. Bentley Macleod, Kate Musen

Cowles Foundation Discussion Papers

Doctors often treat similar patients differently, which affects health outcomes and medical spending. We assess the recent literature on doctor decision making through the lens of a model that incorporates diagnostic and procedural skills, beliefs, incentives, and differences in patient pools. Decision making is affected by beliefs, training, experience, peer effects, financial incentives, and time constraints. Interventions to improve decision making include providing information, guidelines, and technologies like electronic medical records and algorithmic decision tools. Economists have made progress in understanding doctor decision making, but applications of that knowledge to improving health care are still limited.

How Much Should A Conversational Recommender System Converse?, Akshit Kumar, Vahideh Manshadi, Akhilesh Tumu

Cowles Foundation Discussion Papers

Conversational recommender systems powered by generative AI can enhance personalization by facilitating information elicitation through follow-up questions. However, engaging in these conversations imposes a communication cost on users. As platforms with different objectives and monetization models deploy these systems, a central question is: how does the platform’s objective and sellers’ strategic response shape the design of these systems in terms of their elicitation strategy? We develop a parsimonious model of conversational elicitation in which interaction generates noisy preference information and imposes a communication cost borne by the user. A user-welfare-maximizing platform elicits more information when accurate niche matching yields large …

The Displacement Effects Of Domestic Outsourcing, Mayara Felix, Michael B. Wong

Cowles Foundation Discussion Papers

Evidence that domestic outsourcing lowers pay comes largely from on-site transfers, in which workers move to a contractor but keep the same jobs. Displacement is rarely observed: whether workers lose their jobs, where they go, how earnings evolve. In Brazil’s 1993–1994 pro-outsourcing reforms, which differentially affected security guards, such transfers were rare; firms instead used occupational layoffs, shedding their guards while keeping other workers. Displaced guards’ employment recovered within five years, but many changed occupations and wages stayed about 12% lower. Lifetime losses average 1.2 to 1.5 years of pre-layoff earnings, concentrated among workers from high-wage firms, reflecting lost premia.

Neural Networks In Economics: A Selective Review, Xiaohong Chen, Luis Hoderlein, Jonas Lieber

Cowles Foundation Discussion Papers

The "deep learning revolution" has led to remarkable success of neural networks in applications across a wide range of fields, such as computer vision, speech recognition, natural language processing, code generation, protein structure prediction, image and video generation, and dynamic control. This review introduces neural networks to economists. Recent advances and challenges in approximation theory, neural network architecture, computation, econometric theory and practice are presented. Finally, we survey the rapidly evolving applications of modern neural networks and Large Language Models in economic research.

The Role Of National Recapitalization Funds In Sovereign Lending, Elena Gabriela Olariu, Konstantina Panagopoulou Perez

Journal of Financial Crises

The Global Financial Crisis of 2007–2009 showed that a substantial portion of funds borrowed by a state from a lender of last resort may be allocated to bank recapitalization. While national recapitalization funds are not themselves borrowers, they play a key role in recovery operations. This article analyses how lenders, such as the European Stability Mechanism (ESM) and the European Financial Stability Facility (EFSF), incorporate recapitalization funds into their lending framework and how they deal with extraordinary events, such as corporate transformations or liquidation of these funds. To do this, we formulate three key principles that a lender may consider …

From Innovation To Speculation: Ai And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi

Cowles Foundation Discussion Papers

The AI boom has driven the Nasdaq and the Magnificent Seven tech stocks to record highs. But how much do these new records reflect underlying value, how much is speculation, and how vulnerable are these stocks and the wider market to a major downturn? Our evidence and analyses show clear signs of bubble exuberance in most of these stocks, concentrated in a few names like Nvidia, leading to latent risks for investors who assume their index funds are safely diversified and supported by wider economic fundamentals.

Offsetting Carbon With Lemons: Adverse Selection And Certification In The Voluntary Carbon Market, Vahideh Manshadi, Faidra Monachou, Ilan Morgenstern

Cowles Foundation Discussion Papers

To meet voluntary climate targets, firms often complement internal decarbonization efforts by purchasing carbon credits in the voluntary carbon market (VCM), which finance projects that reduce emissions elsewhere. However, these emissions reductions are difficult to verify, and growing evidence of overcrediting has cast doubt on the VCM's potential to genuinely offset emissions. We investigate how the VCM's defining features shape its climate effectiveness. Our model captures three central elements: adverse selection, as high-quality projects that truly reduce emissions are costlier yet difficult to distinguish from low-quality ones; imperfect third-party certification, as projects are screened based on a noisy signal of …

Incentives, Evidence, And Reminders For Bureaucrats: Overcoming Barriers To Policy Scale Up, Patrick Agte, Daniel R. Morales, Christopher Neilson, Sebastian Otero, Guatam Rao

Discussion Papers

Scaling up effective policies often requires the attention of frontline bureaucrats with many competing responsibilities. Even when policymakers adopt effective programs, implementation may not follow. In a nationwide experiment in the Dominican Republic, we test interventions to increase school principals' implementation of an educational program proven effective in a previous RCT. Only 37% of control schools verifiably implemented the intervention when ordered to by the Ministry of Education, compared with 83% in the original trial. Implementation was no higher among schools that previously implemented the program in the RCT, suggesting that fixed costs of adoption do not explain non-adoption. We …

Forecasting With Uncertain Persistence, Joel Flynn, Maksim Meinert, Karthik Sastry

Cowles Foundation Discussion Papers

With uncertainty about persistence, we show that forecasts necessarily become more persistent and over-react at long horizons. For these reasons, correctly specified and Bayesian forecasts may under-react at short horizons and over-react at long horizons. These results provide a unified explanation for several asset pricing and forecasting puzzles, including: (i) the excess responsiveness of long-horizon rates to short rates, (ii) the dominance of apparent term premia for long-term rates, (iii) the ex post predictability of bond yields, (iv) the excess volatility of long-horizon forward prices, (v) the excess persistence of long-horizon forecasts, and (vi) the over-reaction of long-horizon forecasts.

From Unstructured Data To Demand Counterfactuals: Theory And Practice, Timothy Christensen, Giovanni Compiani

Cowles Foundation Discussion Papers

Empirical models of multi-product demand rely on low-dimensional product representations to capture substitution patterns, increasingly using proxies built from unstructured data. When proxies are imperfect, standard workflows yield biased counterfactuals and invalid inference. We develop a practical toolkit to address these issues. Our methods apply to market-level and/or individual data, require minimal additional computation, provide simple standard-error formulas, and accommodate proxies from fine-tuned models. Further, we propose diagnostics to assess proxy quality. Our methods yield meaningful improvements in predicting substitution in empirically calibrated simulations and in an application where we assess counterfactual prediction performance against a ground truth.

From Trade War To Green Transition: Optimal Electric Vehicle Tariffs With Revenue-Funded Subsidies, Panle Jia Barwick, Jack Collison, Pinelopi K. Goldberg, Shanjun Li, Yucheng Wang

Discussion Papers

We study the optimal design of trade and industrial policy when governments pursue environmental objectives alongside traditional national welfare. Motivated by the global transition to electric vehicles (EVs) and growing concerns about competitiveness, resilience, and the environment, we develop a framework in which policymakers choose tariffs and domestic production subsidies to maximize national welfare, defined as the sum of consumer surplus, domestic profits, environmental benefits, and tariff revenue net of subsidies. We combine a theoretical model of differentiated-product oligopoly with a structural demand model estimated using vehicle-level data from 13 countries during 2004-2023 that together account for the vast majority …

How Much Should A Conversational Recommender System Converse?, Akshit Kumar, Vahideh Manshadi, Akhilesh Tumu

Cowles Foundation Discussion Papers

Conversational recommender systems powered by generative AI can enhance personalization by facilitating information elicitation through follow-up questions. However, engaging in these conversations imposes a communication cost on users. As platforms with different objectives and monetization models deploy these systems, a central question is: how does the platform’s objective and sellers’ strategic response shape the design of these systems in terms of their elicitation strategy? We develop a parsimonious model of conversational elicitation in which interaction generates noisy preference information and imposes a communication cost borne by the user. A user-welfare-maximizing platform elicits more information when accurate niche matching yields large …

“About Organs”: A Lutheran Statement About Organ Music From 1597, And Its Historical Context, Markus Rathey

Yale Journal of Music & Religion

The article presents a translation of an important document about organ music, published by the Theology Department at Wittenberg University in 1597. While written in response to an ongoing controversy, the document became the authoritative statement of the Lutheran church about organs and organ music in the seventeenth and eighteenth centuries. The article presents the first complete English translation of the text and it analyzes the historical context of the document.

3d Puzzle Generation Beyond Voxelized Parts, Iris Xia

Computer Science Theses

Burr puzzles are interlocking assemblies whose pieces must be inserted and removed through tightly constrained motions. Designing them is difficult because geometric fit, interlocking behavior, and disassembly order are tightly coupled, while existing computational methods remain largely limited to voxelized or template-based constructions.

This work presents a framework for 3D puzzle generation beyond voxelized parts. The method replaces local mobility heuristics with a certified search over geometry edits. Starting from a topological contact specification, it constructs signed distance fields for individual parts, applies complementary local edits, and validates each candidate using exact geometric checks and a kernel disassembly graph. The …