Knowledge that Transforms

This paper analyzes the effect of incarceration on mortality using administrative data from Ohio between 1992 and 2017. We first document that long-run survival is higher among the incarcerated than similar nonincarcerated defendants. Using event study designs centered around the time of release, we show why: mortality risk halves during the period of incarceration, with large reductions in murders, overdoses, and natural causes of death. However, incarceration does not increase postrelease mortality, and so the overall effect is increased longevity. These estimates reflect the high-risk environment faced by defendants when not incarcerated and suggest noncarceral policies to reduce these risks.

Using unique data from Pakistan, we estimate a model of demand for differentiated products in 112 rural education markets with significant choice among public and private schools. Families are willing to pay substantially for reductions in distance to school, but, in contrast, price elasticities are low. Using the demand estimates, we show that the existence of a low-fee private school market is of great value for households in our sample, reaching 2% to 7% of annual per capita expenditure for those choosing private schools.

We use matched employer-employee data to study the role of the firm in the transmission of income growth into consumption growth. We find that growth in income relative to the firm average (the within-firm component) translates significantly less into consumption than growth in firm average income (the between-firm component). These findings are explained by the lower persistence of the within-firm component of income, better self-insurance for workers more exposed to variations in income growth from the within-firm component, and peer effects in the workplace. Quantitatively, income persistence provides 43% of the explanatory power, self-insurance provides 35%, and peer effects provide 22%.

I study the effects of the U.S. fiscal policy response to the Great Recession, accounting for both standard tools and financial sector interventions. A nonlinear model calibrated to the United States allows me to study the state-dependent effects of different fiscal policies. I combine the model with data on the fiscal policy response to find that the fall in consumption would have been one-third larger in the absence of that response, for a cumulative loss of 7.18%. Transfers and bank recapitalizations yielded the largest fiscal multipliers through new transmission channels that arise from linkages between household and bank balance sheets.

We develop a framework to measure the role of hospital allocation in racial disparities in health care and use it to study Black and white heart attack patients. Black patients receive care at lower-performing hospitals than white patients. However, over two decades, the performance gap between hospitals treating Black and white patients shrank by over two-thirds. This progress is due to more rapid performance improvement at hospitals that tended to treat Black patients rather than reallocation of patients. Hospital improvement is correlated with adoption of a productivity-raising input, beta blockers. Our work highlights reallocation and performance improvement as future disparity-reduction levers.

During the early 1990s, Germany offered temporary protection to 700,000 Yugoslavian refugees fleeing war. By 2000, many had been repatriated. We exploit this natural experiment to investigate the role of returning migrants in boosting export performance upon their return. Using confidential German administrative data, we find that industries with 10% more returning refugees exhibit larger exports between the pre- and postwar periods by 1% to 1.6%. We use exogenous allocation rules for asylum seekers within Germany as an instrument to deal with endogeneity concerns. We show evidence pointing to productivity shifts as the main mechanism behind our results. Consistently, we find our results are driven by refugees in occupations more likely to transfer knowledge, technologies, and best practices.

This paper presents experimental evidence on the impact of a role model on secondary school students’ exam performance in Uganda. Students were individually randomized to see either a movie featuring a female role model, Queen of Katwe, or to see a placebo movie. I find that treatment with the role model immediately before an important national exam leads to students performing better on their exams, particularly in math, with effects largest for female students. Female students exposed to the role model are more likely to remain in education in subsequent years, closing the gender gap with their male peers.

We analyze how demand conditions faced by a firm in its export markets affect its innovation decisions. We exploit exogenous firm-level export demand shocks and find that firms respond by patenting more; furthermore, this response is driven by the subset of initially more productive firms. The patent response arises two to five years after the shock, highlighting the time required to innovate. In contrast, the demand shock raises contemporaneous sales and employment for all firms regardless of their productivity. This skewed innovation response to common demand shocks arises naturally from a model of endogenous innovation and competition with firm heterogeneity.

The revealed preference methodology allows an observer to infer preferences from choices. This paper extends this fundamental idea by experimentally identifying the preference for basing choices on simple decision rules. Subjects not only make case-by-case portfolio allocations but also design a simple investment rule for selecting portfolios. They then choose between these two decision modes for an additional set of problems. The majority opt for the rule interface and in most cases choose a simple investment rule that cannot be rationalized by any simple utility function or accounted for by reductions in decision time or by cognitive costs.

We develop a framework for measuring under- and overreaction in expectation formation. The basic insight is that under- and overreaction to new information is identified (up to sign) by the impulse response function of forecast errors. Our measurement procedure yields estimates of under- and overreaction to different shocks at various horizons. In an application to inflation expectations, we find that forecasters underreact to aggregate shocks but overreact to idiosyncratic shocks. We illustrate how our approach can be used to (i) quantify the importance of different biases, (ii) estimate theoretical models, and (iii) shed light on existing empirical approaches and puzzles.