Economics

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This paper studies market design for generative AI intermediation. AI answer systems can improve user experience while diverting visits that finance publisher content and generate source-level quality signals. I show that an AI platform that underinternalizes future content reproduction retains too little referral traffic and can make costly open-web information subcritical, even with truthful content, accurate answers, and rational users. The mechanism can be self-reinforcing: less source-level measurement weakens conventional search, inducing further AI reliance. Sustainable repair requires replacing displaced revenue and deleted measurement through visitor-replacement royalties, audited p..

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound recordings. This guide provides an introduction for researchers who are new to LLMs. It sets out a step-by-step workflow for turning a research idea into working code and data, and describes the four main ways of interacting with an LLM: the chat window, editor-integrated assistants, agentic coding tools, and the API. It then works through the decisions a practitioner meets in sequence, beginning with whether an LLM is the right tool and whether the data are allowed to be sent to one, then how t..

Parents may invest differently across children by compensating the disadvantaged child or by reinforcing the child with higher expected returns. We study this question using a conditional cash transfer experiment that uniquely randomized transfers at the student level, generating exogenous variation in transfer exposure across siblings within the same household. The transfers increased short-run attendance among treated students but generated negative spillovers on untreated siblings: untreated siblings of treated students were 3.7 percentage points less likely to graduate from college, a decline of about 30 percent relative to the control mean. We interpret these effects using a dynamic mod..

What information do policymakers need to design Pigouvian taxes or subsidies? Standard logic suggests that it is sufficient to know the size of the externality and unnecessary to know about quantities. Yet this logic is incorrect if interventions have fixed costs, taxes create deadweight losses, or there are distributional concerns. We present a model in which these considerations can make it more valuable for policymakers to learn about equilibrium quantities. We apply the model to congestion pricing, which has high fixed costs, and to a proposed housing subsidy in Boston that features deadweight losses and distributional concerns.

We ask how far the choice of which moments to match can push estimates in misspecified structural models. The answer is: very far. Under regularity conditions, an adversarial researcher informed about the data distribution can choose moments that render any parameter value the unique solution to the population moment-matching problem. Moreover, in many cases they can do so with little increase in model-implied standard errors relative to maximum likelihood. We illustrate both results in a menu-cost model.

This article introduces the evidence and associated modeling frameworks contemporary economists use to understand the effects of trade and trade policy on labor markets, with a particular emphasis on labor-market frictions and adjustment dynamics. The effects of trade shocks differ across industries, regions, and occupations, implying the presence of important adjustment frictions in labor markets, and these effects evolve slowly over time, implying the need for dynamic frameworks rationalizing slow transitions. After reviewing the key insights from this literature, we discuss policies aimed at mitigating costs to workers and ensuring that the gains from trade are shared more equitably.

A large share of secular variation in real interest rates can be understood as the effect of monetary policy leaning against experience-based long-run inflation expectations. Survey microdata show that adaptive learning from experienced inflation generates highly persistent, slow-moving long-run inflation expectations. When expectations are shaped by experience, central banks cannot anchor them through communication. Instead, when expectations deviate from the inflation target, monetary policy must remain persistently hawkish or dovish to generate realized inflation outcomes that, through agents’ belief updating, gradually pull long-run expectations back toward the target. Consistent with ..

Health care reforms are often enacted before implementation, creating uncertainty that can shape firms’ decisions. We examine how Medicare Part D affected the retail pharmacy industry using 2000-2009 establishment-level data, leveraging the fact that Part D disproportionately affected counties with larger elderly populations. Consistent with predictions from a conceptual model in which pre-implementation uncertainty discourages entry and lower post-implementation margins prevent full recovery, we find that Part D was associated with a 5-percent reduction in pharmacies, driven by fewer openings rather than more closures. We also find suggestive evidence that reduced pharmacy access dampened..

This paper studies migration and earnings dynamics in poor neighborhoods using new administrative data linking residential location and earnings. Out-migration rates are higher in poor neighborhoods than elsewhere, and the majority of people who leave a poor neighborhood move to a richer one. Residents of poor neighborhoods also see significant earnings mobility, with average growth rates similar to richer areas. Estimates based on idiosyncratic, firm-specific pay changes show that increases in earnings are linked to migration to better neighborhoods. This results in the earnings of the cohort who lived in a poor neighborhood at baseline growing more than twice as fast as the earnings of the..

Real GDP per person is a widely used proxy for living standards, but it can be a poor welfare measure when new goods or quality improvements matter, when nonmarket goods are significant, and when preferences are nonhomothetic --- all of which are true in practice. We propose an alternative that is robust to these concerns: under weak conditions, the growth rate of the value of a statistical life (VSL), together with standard Euler-equation objects, identifies the growth rate of lifetime utility. The intuition is that people routinely trade off consumption against mortality risk, and their willingness to pay for small risk reductions reveals the value of remaining lifetime utility. Implementi..

Unilateral vetoes, in which an agent takes an action that restricts the set of possible outcomes for themselves independent of what other agents do, are a frequently used tool in real-world approaches to multi-dimensional screening. We study how this tool works in a class of task-allocation problems. We characterize obvious strategy-proofness of unilateral-veto mechanisms, yielding structural insights into how veto rights shape incentives: obviously strategy-proof mechanisms consist of diverse menus of narrowly defined rights. We then examine the potential of this simple class of mechanisms as a practical market-design tool and provide empirical evidence of their efficacy in two applications..

Vision problems are prevalent among Medicare beneficiaries, with the majority having treatable conditions including uncorrected refractive error and cataracts. However, traditional Medicare does not cover routine eye exams or eyeglasses, and Medicare Advantage supplemental vision benefits often include low annual limits. We examine the effects of Medicaid routine vision benefits among adults dually eligible for Medicare and Medicaid, a population with high rates of vision impairment, morbidity, and disability. Using 2002-2019 Medicare Current Beneficiary Survey data and a difference-in-differences design, we estimate that Medicaid routine vision benefits increase past-year eye exams, eyeglas..

We study fragility in semi-liquid private credit funds, which have expanded rapidly and now manage over $300 billion in assets. These funds perform liquidity transformation by holding far more illiquid loans than traditional loan mutual funds while allowing investors to redeem at NAV through quarterly repurchase offers, typically capped at 5% of shares outstanding. We show that cash buffers and contractual loan repayments are insufficient to fund repeated 5% quarterly redemptions; inflows decline precisely when outflows rise; and net outflows are met with sales of illiquid loans, external borrowing, and delayed payments through repurchases payable. As a result, strategic complementarity aris..