Firms are allowed to use aggregate data on market salaries to set pay, a practice known as salary benchmarking. Using national payroll data, we study firms that gain access to a tool that reveals market benchmarks for each job title. Using a difference-in-differences design, we find that the benchmark information reduces salary dispersion by 25%. Thus, salary dispersion must stem partly from aggregate uncertainty about the salaries offered by other firms. Our model formalizes how salary dispersion can arise even in competitive labour markets for identical workers when such uncertainty exists, and we discuss implications for an ongoing policy debate.

We examine how macroeconomic expectations affect consumer decisions, using an experiment with 2,872 credit card customers at a large commercial bank. In the experiment, participants are randomized into receiving expert forecasts of inflation and the nominal exchange rate. We find that forecasts shift inflation and exchange rate expectations, but do not change spending or self-reported consumption plans as predicted by standard models of intertemporal choice. Results from a supplementary survey experiment suggest that consumers are sophisticated enough to anticipate nominal rigidities and reduce spending on durables for precautionary reasons, counteracting the effects predicted by standard models of intertemporal optimization.

We provide evidence on the role of perceived fairness in tax compliance. Are households more willing to pay taxes when they believe others contribute their fair share? We investigate this question with a natural field experiment in the context of U.S. property taxes. Using an information-disclosure experiment, we exogenously shifted households’ perceptions of the average tax rate paid by others. We find that higher perceived average tax rates increase perceptions of fairness and reduce the likelihood of tax appeals. Quantifying the effect, for every additional $1 paid by the average household, a taxpayer is willing to contribute $0.43 more. In the field experiment, subjects were informed about the average tax rate but not why it might differ from theirs. A complementary survey shows this context matters: when households learn others pay lower rates due to exemptions such as disability or advanced age, they are more willing to tolerate unequal rates.

Why do some individuals evade taxes while others do not? We study this question using administrative tax records from Uruguay linked to a tailored survey of taxpayers. Using third-party reports, we measure individual income under-reporting as an indicator of evasion. We then examine how three factors predict who evades: social preferences (e.g., honesty measured through incentivized laboratory games), peers (e.g., the behavior of current and former coworkers), and economic factors (e.g., the marginal tax rate). We find that social preferences have little power to predict evasion, while economic factors matter more and peer behavior is the strongest predictor.