Knowledge that Transforms

This paper exploits the exogenous variation of Mexico’s Oportunidades conditional cash transfer program on urban households’ time and consumption allocations to identify and structurally estimate a collective labor supply model with home production. I use my structural estimates to show that participation in Oportunidades increased maternal intrahousehold bargaining power by almost 13%, which is associated with an increase of approximately 14% in the production of a child-related public good in dual-earner beneficiary households. Counterfactual exercises show that Oportunidades is as effective as alternative cash transfer programs and wage subsidies at increasing mothers’ bargaining power, control over household monetary resources, and domestic output.

This paper proposes a new method to estimate the welfare impact of conflicts and remedy common data constraints in conflict-affected environments. The method first estimates how agents regard spatial welfare differentials by voting with their feet, using pre-conflict data. Then, it infers a lower-bound estimate for the conflict-driven welfare shock from partially observed post-conflict migration patterns. Results for the conflict in Eastern Ukraine between 2014 and 2019 show a large lower-bound welfare loss for Donetsk residents equivalent to 8–32 percent of lifetime income depending on agents’ time preference and risk aversion parameters.

We study how temporary subsidies for adoption of modern foreign technology drove South Korea’s industrialization in the 1970s. Leveraging unique historical data, we provide causal evidence consistent with coordination failures: adoption improved adopters’ performance and generated local spillovers, with firms more likely to adopt when other local firmshad already adopted.We incorporate these findings into a quantitative model, where the potential for multiple steady states depends on parameters mapped to the causal estimates. In our calibrated model, South Korea’s temporary subsidies shifted its economy to a more industrialized steady state, increasing heavy manufacturing’s GDP share by 27% and export intensity by 39%. Larger market access and lower idiosyncratic distortions amplified the effects of these subsidies, as the gains from adoption increase with firm scale.

We study how various zoning regulations combine to affect housing supply, prices, and rents of single- and multifamily homes using novel lot-level zoning data from Greater Boston and a cross-sectional boundary discontinuity design at regulation boundaries. Looser density restrictions, alone or with other less restrictive regulations, are most effective in increasing supply and reducing per-housing-unit rents and prices. We theoretically and empirically show that restrictive zoning regulations shift housing stock towards larger units, increasing prices per housing unit. Counterfactuals imply that a recent Massachusetts law increasing building density near transit can reduce long-run rents and prices, particularly in suburbs.

Regulatory review is often seen as a barrier to innovation, increasing costs and delaying new medicines. Yet approval may also expand markets by certifying quality and reducing uncertainty. We test this by studying FDA approval for follow-on indications—uses that physicians could already prescribe “offlabel” — and find approval raises use in newly approved diseases by 25 percent within a year, with larger increases in smaller off-label markets. Subsequent approvals in the same disease yield smaller gains. Our results suggest regulatory approval of medicines expands market size by increasing demand, rather than easing insurer-imposed restrictions, revealing limits to marketbased learning.

Many social insurance programs have low take-up, but it is unclear whether this is due to administrative barriers, information, or low insurance valuations. We study a Thai policy that offered large incentives for informal workers in selected provinces to enroll. The incentives increased insurance coverage by 67 percentage points- from 6 percent of informal workers to 73 percent- within two months. However, 12 months later, only 13 percent remained insured. Using choices among insurance tiers to back out revealed valuations, we find that low social insurance enrollment may be due to low ex-ante valuations of insurance, rather than administrative barriers.

We investigate the extent and underlying mechanisms behind race beliefs on hiring decisions. In an incentivized experiment, workers with names perceived to be Black are 30 percentage points less likely to be hired. Results indicate that race serves as a decision heuristic: large perceived race gaps among candidates lead to faster and more confident decisions, and the race gap in hiring increases by 25% when employers are forced to make quick decisions. Estimates from a drift-diffusion model reveal that most employers initially focus on worker race, but certain employer groups shift their attention to productivity-related attributes when given sufficient time.

Social Security Disability Insurance (DI) awards rise in recessions, especially for workers over age 50. We use Medicare data to investigate how health, entry costs, and age-based DI eligibility rules shape this pattern. Entrants induced by recessions have lower medical spending and mortality than typical recipients. Entry responses to unemployment jump two- to fourfold at ages 50 and 55, when eligibility rules relax. Using these age-based discontinuities as instruments, we find no shift in marginal entrants' health across unemployment levels. These findings show that DI's age-based eligibility rules are a primary driver of cyclical entry, while health shocks are not.

Competition authorities have expressed concern that firms selling broadband internet and TV subscriptions may employ usage-based pricing (UBP) of internet to steer consumers toward TV over streaming video. We study this issue with household-level panel data from an internet service provider's UBP experiment, capturing the prices' effects on internet and TV subscriptions, internet usage, and firm revenue. We find that this specific UBP policy largely served to meter internet usage by high-demand households rather than steer them toward TV. Households' payments increased due to usage-related overage charges and internet subscription upgrades to avoid overages. Some households avoided internet-related payments by reducing usage rather than adding TV subscriptions.

This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved heterogeneity. Our identification strategy exploits multivariate monotonicity in parametric indices, and uses the logical contraposition of an intertemporal inequality on choice probabilities to obtain identifying restrictions. We provide a consistent estimation procedure, and demonstrate the practical advantages of our method with Monte Carlo simulations and an empirical illustration on popcorn sales with the NielsenIQ data.