Research
Working Papers
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“Labor Market Informality, Risk, and Insurance”, September 2025. R&R @ Journal of Political Economy [Manuscript]
(Abstract)
Distinct working arrangements offer different prospects for workers. Formal employment provides insurance requiring contributions and taxes. Informal and self-employment lack insurance but offer faster exits from unemployment. Workers face complex tradeoffs involving present and future risks, insurance, liquidity, and earnings. To understand how employment decisions depend on risk, savings, and insurance, I develop a life-cycle model of employment and savings in a frictional search environment. I estimate the model exploiting linked longitudinal survey and administrative Chilean data and policy reforms. Workers attribute substantial value to the insurance and stability provided by formal jobs: informal employees would give up one-third of their net earnings to formalize their jobs. At the same time, informal opportunities insure workers against unemployment risk. Counterfactual policy analyses reveal that ignoring risk aversion and the full insurance bundle embedded in formal employment leads to biased responses to social security reforms. The findings highlight that both formality and informality provide distinct forms of insurance, and that effective policy design requires accounting for the dynamic tradeoffs workers face over the life cycle.
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“There must be an error here! Experimental evidence on coding errors’ biases” (with Bruno Ferman), October 2025. R&R @ Economic Journal [Manuscript]
(Abstract)
Quantitative research relies heavily on coding, and coding errors are relatively common even in published research. In this paper, we examine whether individuals are more or less likely to check their code depending on the results they obtain. We test this hypothesis in a randomized experiment embedded in the recruitment process for research positions at a large international economic organization. In a coding task designed to assess candidates’ programming abilities, we randomize whether participants obtain an expected or unexpected result if they commit a simple coding error. We find that individuals are almost 20% more likely to detect coding errors when they lead to unexpected results. This asymmetry in error detection depending on the results they generate suggests that coding errors may lead to biased findings in scientific research.
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“Long-term effects of a public school management program” (with Bruno Ferman, André Portela Souza, and Geraldo Silva Filho), April 2025. R&R @ Journal of Human Resources [Manuscript]
(Abstract)
While a substantial body of research documents a positive correlation between school management practices and student outcomes, experimental evidence on their causal effects — particularly over the long term — remains limited. We exploit the randomized implementation of “Jovem de Futuro,” a management program implemented in Brazilian public high schools. Drawing on rich administrative data, we follow students’ educational and labor market trajectories over fifteen years. We find short-term improvements in test scores and high school completion. In the long run, however, the program yields null to modest effects on college enrollment and graduation, labor market participation, and earnings.
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“Spatial Protection Spillovers and the Equilibrium of Crime and Policing” (with Eduardo Ferraz), March 2026. Cond. Accepted @ Journal of Economic Theory[Manuscript]
(Abstract)
Spatial heterogeneity in crime suggests that location is a key choice variable in criminal behavior and police allocation. To capture this, we develop a topological model in which criminals and the police interact strategically across space. The key departure from the existing literature is that distance matters: the coverage radius of a police unit generates spatial spillovers, so a location can receive protection from nearby patrols. This is in sharp contrast with discrete spatial models, where each discrete partition is isolated from its surroundings, biasing the equilibrium police allocation. We analytically characterize this bias and, more generally, demonstrate how spillovers affect the equilibrium police allocation. In particular, as spillovers increase: (i) more (fewer) units are allocated at local maxima (minima) of crime; (ii) the location where units are more concentrated shifts toward the steepest side of the crime distribution; and (iii) the entropy of the police spatial density decreases. Jointly, our results point to the essential role of spatial spillovers in the equilibrium determination of crime and police allocation.
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“How Far Does the Lighthouse Shine? Bunching at the Minimum Wage and Informality” (with Vinícius Nery), June 2026. [Manuscript]
(Abstract)
Why do so many informal workers earn the minimum wage? We argue that this phenomenon, known as the lighthouse effect, exists because the minimum wage acts as a benchmark and lowers wage-setting costs for firms. We develop a dual-sector model with monopsonistic competition and minimum wage-anchoring features that generates equilibrium wage distributions featuring bunching at the minimum wage and missing masses around it in both the formal and informal sectors. We estimate the model using Brazilian firm- and worker-level microdata. Modeling lighthouse effects matters: ignoring the informal spike overstates the effect of minimum wage increases on informal wage inequality and meaningfully alters estimated structural parameters.
Published Articles
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“Youth Subjective Life Expectancy and Early Labor Market Choices”, Demography, 63 (4): 1277–1304 (2026). [Published Version] [Open Access Manuscript]
(Abstract)
The literature has documented how measures eliciting subjective life expectancy (SLE) have desirable properties, predict mortality, and are strongly associated with savings and retirement outcomes among those nearing retirement. This paper assesses whether SLE matters when young individuals make consequential career decisions at labor market entry. Using survey and administrative data from Chile, I show that the SLE elicited from a young population also exhibits desirable properties. Moreover, individuals aged 18–26 with one standard deviation higher SLE have about 5% higher pension wealth fifteen years later. In a pension system based on individual capitalization accounts, contributions made early in the career compound for longer and are therefore valuable. I employ different empirical strategies, including exploiting cross-sectional variation in SLE, longitudinal individual fixed-effects approach, and instrumental variables that exploit health and death of family members.
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“Labor Market Conditions and College Graduation: evidence from Brazil”, Economics of Education Review, 94C 102403 (2023). [Published Version] [Open Access Manuscript]
(Abstract)
College students graduating in a recession have been shown to face large and persistent negative effects on their earnings, health, and other outcomes. This paper investigates whether students delay graduation to avoid these effects. Using data on the universe of students in higher education in Brazil and leveraging variation in labor market conditions across time, space, and chosen majors, the paper finds that students in public institutions delay graduation to avoid entering depressed labor markets. A typical recession causes the on-time graduation rate to fall by 6.5% in public universities and there is no effect on private institutions. The induced delaying increases average graduation by 0.11 semesters, consistent with 1 out of 18 students delaying graduation by one year in public universities. The delaying effect is larger for students with higher scores, in higher-earnings majors, and from more advantaged backgrounds. This has important implications for the distributional impact of recessions.
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“Labor Market Trends and Unemployment Insurance Generosity During the Pandemic” (with Dana Scott), Economics Letters, 199C, 109722 (2021). [Published Version] [Open Access Manuscript]
Media coverage: CNBC, Time, Yahoo Canada, New Republic, and 4 others
(Abstract)
We test whether changes in unemployment insurance (UI) benefit generosity under the CARES Act in the US are associated with differential employment outcomes under the distinct conditions of the pandemic. While we observe a negative association between UI generosity and employment, we show that the relative employment gap arises before the Act was instituted, decreases in magnitude when the augmented benefits were in place, and does not change when the benefits expansion expires.
Published in Brazilian Journals
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“School closures and educational path: how the Covid-19 pandemic affected transitions to college” (with Fernanda Estevan), Accepted @ Brazilian Review of Econometrics [Manuscript]
(Abstract)
We investigate the impact of the Covid-19 pandemic on the transition between high school and college in Brazil. Using microdata from the universe of students that applied to a selective university, we document how the Covid-19 shock increased enrollment for students in the top 10% high-quality public and private high schools. This increase comes at the expense of graduates from relatively lower-quality schools. Furthermore, this effect is entirely driven by applicants who were at high school during the Covid pandemic. The effect is large and completely offsets the gains in student background diversity achieved by a bold quota policy implemented years before Covid. These results suggest that not only students from underprivileged backgrounds endured larger negative effects on learning during the pandemic, but they also experienced a stall in their educational paths.
Selected Work in Progress
- “Informality and Motherhood Penalties over the Life Cycle” (with Karolina Andrade, Diogo Britto, Alexandre Fonseca, Fernando Mattar, Breno Sampaio, and Gabriel Ulyssea). Draft coming soon
- “Can a Microentrepreneur Program Create Dynamic Firms? Evidence from Brazil” (with Pablo Garriga, Raul Morales Lema, and Rafael Vilarouca). Draft coming soon
- “Experiment on Test Performance and Implications for Fairness” (with Dalila Figueiredo). Data collection ongoing
Resting Papers
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“Are Public Schools in Developing Countries Ready to Integrate EdTech into Regular Instruction?” (with Bruno Ferman and Lycia Lima), March 2022. [Manuscript]
(Abstract)
We study the impacts of a program that introduced a computer-assisted learning platform into regular math classes using a randomized control trial in Brazilian primary public schools. Once a week, teachers would take their students to the school’s computer lab and teach using a dynamically adaptive platform, instead of their standard math classes. We find no average treatment effect on students’ math proficiency. However, we find positive effects of the program on measures of attitudes towards math. Moreover, we find suggestive evidence that the program may have positive effects on proficiency when infrastructure is better, so that it can be implemented using one computer per student. These results highlight the implementation challenges associated with education technology interventions in developing countries.