Felipe Lobel

Felipe Lobel headshot

Felipe Lobel

Felipe Lobel headshot
I am a sixth-year PhD candidate in the Economics Department at the University of California, Berkeley. My research interests are on Public and Labor Economics.


applied micro

Corporate Taxation and Evasion Responses: Evidence from a Minimum Tax in Honduras

Accepted, American Economic Journal: Economic Policy , Feb 2023

Award: ITAX Best PhD Student Paper Award

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Abstract: We study corporate responses to a minimum income tax, using the universe of corporate tax filings in Honduras. The policy design allows us to separately estimate cost misreporting under profit taxation and the elasticity of reported revenue. Large corporations overreport true costs when taxed on profits. Taxing revenue leads to a substantial decrease in reported revenues: we estimate an elasticity in the range 0.35-1. The elasticity of revenue is attenuated when third-party information on the revenue of firms is available, suggesting misreporting plays an important role. Our results inform trade-offs when broadening tax bases to curb evasion.


Reducing Interference Bias in Online Marketplace Experiments Using Cluster Randomization: Evidence from a Pricing Meta-Experiment on Airbnb

Accepted, Management Science , July 2023

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Abstract: Online marketplace designers frequently run randomized experiments to measure the impact of proposed product changes. However, given that marketplaces are inherently connected, total average treatment effect (TATE) estimates obtained through individual-level randomized experiments may be biased due to violations of the stable unit treatment value assumption, a phenomenon we refer to as “interference bias.” Cluster randomization, i.e., the practice of randomizing treatment assignment at the level of “clusters” of similar individuals, is an established experiment design technique for countering interference bias in social networks, but it is unclear ex ante if it will be effective in marketplace settings. In this paper, we use a meta-experiment or “experiment over experiments” conducted on Airbnb to both provide empirical evidence of interference bias in online market settings and assess the viability of cluster randomization as a tool for reducing interference bias in marketplace TATE estimates. Results from our meta-experiment indicate that at least 19.76% of the TATE estimate produced by an individual-randomized evaluation of the platform fee increase we study is attributable to interference bias and eliminated through the use of cluster randomization. We also find suggestive, non-statistically significant evidence that interference bias in seller-side experiments is more severe in demand-constrained markets, and that the efficacy of cluster randomization at reducing interference bias increases with cluster quality.

Working Papers


Intra-household Inequality and the Joint Taxation of Household Earnings

R&R (second round), Journal of Public Economics , Aug 2023

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Abstract: We derive optimal labor income tax schedules for married agents, taking the distinction between interpersonal and interhousehold inequality seriously. Each household consists of two workers with different productivitylevels and unequal access to the family’s economic resources. We handle the multidimensionality that could undermine the Mirrlees’ (1971) approach by restricting preferences to be identical and iso-elastic and by focusing on taxes characterized by income-splitting. After showing how individual-oriented utilitarianism typically leads to a misalignment between the households’ and the government’s objectives, which Apps and Rees (1988) have named dissonance, we provide a complete solution for the screening problem, incorporating different degrees of assortative matching and assessing dissonance’s role in shaping the optimal schedule. We also investigate the welfare gains from gender-based policies.

Work in Progress


The Cost of Informality: An Optimal Taxation Approach

Presented: Econometric Society 2018; Public Economic Theory 2017; Brazilian Econometric Society 2017; UC Berkeley PF and Development Lunch 2018

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Abstract: What is the cost of informality? On the one hand, an informal sector creates a restriction on the set of policies that can be implemented. On the other hand, its existence offers an alternative for those for whom the benefits of formal relations do not compensate for the costs. Based on Mirrlees’ (1971b) we propose an optimal tax formula that accounts for the existence of informality. This allows us to adopt an inverse-optimum procedure to recover the social objective that rationalizes the current tax system and use it to evaluate the welfare consequences of eliminating the informal sector. Using survey data from Brazil that encompasses formal and informal workers’ wages, we calibrate the model to recover the main parameters that underlie the formalization decision, i.e., the joint distribution of productivity and the formalization costs. We find welfare gains of 6.3% which can be decomposed into a 2% gain from a direct increase in tax revenues and a 4.3% gain from re-optimizing the tax system.


general writing

Thriving in Economics

Funds donated to Ukraine, ebook , March 2023

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UC Berkeley
MBA 200S: Data and Decision
Full time MBA program (Professor: Reed Walker), 2019
EWMBA 200S: Data and Decision
Executive MBA program (Professor: Fred Finan), 2020
ECON 204: Math Camp
First year Haas PhD core class (Professor: Chris Shannon), 2019 and 2020
ECON 230B: Public Economics
Second year Econ PhD elective class (Professor: Emmanuel Saez), 2021 and 2022
ECON 131: Public Economics
Undergraduate class (Professor: Emmanuel Saez), 2021
EPGE-FGV (Getulio Vargas Foundation)
Executive MBA core class (Professor: Carlos Eugênio da Costa), 2016
Game Theory
First year PhD core class (Professor: Luís Braido), 2016
First year PhD core class (Professor: Marcelo Moreira), 2016