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Marvin Cardoza, Justin Holz, John A List, Alejandro Zentner, Joaquin Zentner

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This paper uses a natural field experiment to examine the effectiveness of specific nudges on tax compliance amongst firms and the self-employed in the Dominican Republic. In collaboration with the Dominican Republic's tax authority, we designed messages for more than 28,000 self-employed workers and over 56,000 firms. Leveraging administrative tax data, we find evidence that our nudges (increasing the salience of prison sentences or public disclosure of tax evaders) have large effects on increasing tax compliance, primarily working through the channel of decreasing claimed tax exemptions. Interestingly, we find that firms are more impacted than the self-employed, and that firm size is critically linked to nudge effectiveness: larger firms are considerably more influenced by nudges than smaller firms. We find this latter result noteworthy given the paucity of evidence showing significant behavioral impacts of nudges amongst the largest players in a market. Overall, our messages increased tax revenue by $193 million (roughly 0.23% of the Dominican Republic's GDP in 2018), with over $100 million constituting income that the government would not have received without our field experimental nudges.

Pradhi Aggarwal, Alec Brandon, Ariel Goldszmidt, Justin Holz, John A List, Ian Muir, Gregory Sun, Thomas Yu

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Prior research finds that, conditional on an encounter, minority civilians are more likely to be punished by police than white civilians. An open question is whether the actual encounter is related to race. Using high-frequency location data of rideshare drivers operating on the Lyft platform in Florida, we estimate the effect of driver race on traffic stops and fines for speeding. Estimates obtained across traditional and machine learning approaches show that, relative to a white driver traveling the same speed, minorities are 24 to 33 percent more likely to be stopped for speeding and pay 23 to 34 percent more in fines. We find no evidence that these estimates can be explained by racial differences in accident and re-offense rates. Our study provides key insights into the total effect of civilian race on outcomes of interest and highlights the potential value of private sector data to help inform major social challenges.

Patricia Gil, Justin Holz, John A List, Andrew Simon, Alejandro Zentner

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In modern economies, when debt and trust issues arise, a partial forgiveness policy is often the solution to induce payment and increase disclosure. For their part, governments around the globe continue to use tax amnesties as a strategy to allow debtors to make amends for past misdeeds in exchange for partial debt forgiveness. While ubiquitous, much remains unknown about the basic facts of how well amnesties work, for whom, and why. We present a simple theoretical construct that provides both economic clarity into tax amnesties as well as insights into the necessary behavioral parameters that one must estimate to understand the consequences of tax amnesties. We partner with the Dominican Republic Tax Authorities to design a natural field experiment that is linked to the theory to estimate key causal mechanisms. Empirical results from our field experiment, which covers 125,452 taxpayers who collectively owe $5.2 billion (5.5% of GDP) in known debt, highlight the import of deterrence laws, beliefs about future amnesties, and tax morale for debt payment and increased disclosure. Importantly, we find large short run effects: our most effective treatment (deterrence) increased payments of known debt by 25% and hidden debt by 48%. Further, we find no evidence of our intervention backfiring on subsequent tax payments.