Macroeconomics

We recover valuations of time using detailed data from a large ride-hail platform, where drivers bid on trips and consumers choose between a set of rides with different prices and waiting times. We estimate demand as a function of prices and waiting times and find that price elasticities are substantially higher than waiting-time elasticities. We show how these estimates can be mapped into values of time that vary by place, person, and time of day. We find that the value of time during non-work hours is 16% lower than during work hours.

Companies that freeze defined benefit pension plans save the equivalent of 13.5% of the long-horizon payroll of current employees. Furthermore, firms with higher prospective accruals are more likely to freeze their plans. Cost savings would not be possible in a benchmark model in which i) all workers receive compensation equal to their marginal product and ii) workers value equally all identical-cost forms of pension benefits.

Technology is often embodied in expensive and indivisible capital goods. As a result, the small scale of firms in developing countries could hinder investment and productivity. This paper argues that market interactions between small firms can alleviate this concern. We design and implement a survey of manufacturing firms in Uganda, which uncovers an active rental market for large machines among small firms. We then build an equilibrium model of firm behavior and estimate it with our data.

In this paper, I estimate the magnitude of an informational friction limiting credit reallocation to firms during the 2007-2009 financial crisis. Because lenders rely on private information when deciding which relationship to end, borrowers looking for a new lender are adversely selected. I show how to separately identify private information from information common to all lenders but unobservable to the econometrician by using bank shocks within a discrete choice model of relationships.

The acceleration of start-up activity is often cited as a rationale for the R&D tax credit, a key innovation policy instrument adopted increasingly by US states over the past quarter century. While there is a strong empirical base linking the R&D tax credit to increased R&D expenditures and innovation, prior work has not provided causal evidence that this policy effects the rate of formation and growth potential of new businesses.

After decades of supporting free trade, in 2018 the U.S. raised import tariffs and major trade partners retaliated. We analyze the short-run impact of this return to protectionism on the U.S. economy. Import and retaliatory tariffs caused large declines in imports and exports. Prices of imports targeted by tariffs did not fall, implying complete pass-through of tariffs to duty-inclusive prices. The resulting losses to U.S. consumers and firms who buy imports was $51 billion, or 0.27% of GDP. We embed the estimated trade elasticities in a general-equilibrium model of the U.S. economy.

Pricing greenhouse-gas (GHG) emissions involves making tradeoffs between consumption today and unknown damages in the (distant) future. While decision making under risk and uncertainty is the forte of financial economics, important insights from pricing financial assets do not typically inform standard climate–economy models. Here, we introduce EZ-Climate, a simple recursive dynamic asset pricing model that allows for a calibration of the carbon dioxide (CO2) price path based on probabilistic assumptions around climate damages.

We study the association between human capital and rollovers into Individual Retirement Accounts (IRAs), using administrative records from the defined contribution savings plan for U.S. government employees: the Thrift Savings Plan (TSP). Employees who separate from government employment have the option to leave balances in the TSP, where fees are currently under 4 basis points. However, we estimate that more than a third of the TSP balances end up being rolled over into IRA accounts, which are very likely to have much higher fees.

This paper considers a two-sided dynamic matching market where agents arrive at the market randomly. An arriving agent is immediately matched if there are agents waiting on the other side. Otherwise, the arriving agent has to decide whether to leave the market and take her outside option or to join a (possibly empty) queue and wait for a match. The equilibrium is characterized by a cutoff, k*, so that an agent joins the queue if, and only if, the length of the queue is less than k*. Our main result compares k* with the socially optimal queue size, K*.