Knowledge that Transforms

Decreasing returns at the macro level are an outcome of efficiency at the micro level. When inputs are scarce, an efficient economy carries out only the most productive projects; when inputs are abundant, the economy implements less productive projects as well. This link between decreasing returns and efficiency suggests that misallocation can reduce the extent of aggregate decreasing returns. I formalize this connection and establish two main results: (i) misallocation amplifies the volatility of output with respect to fluctuations in inputs; and (ii) financial integration amplifies shocks in relatively distorted economies, but mitigates them in less distorted economies.

Many organizations have budgets that expire at the end of the fiscal year and may face incentives to rush to spend resources on low-quality projects at year's end. We test these predictions using data on procurement spending by the US federal government. Spending in the last week of the year is 4.9 times higher than the rest-of-the-year weekly average, and year-end information technology projects have substantially lower quality ratings. We also analyze the gains from allowing agencies to roll over unused funds into the next fiscal year.

Considering markets with nonpivotal buyers, we analyze the anticompetitive effects of breakup fees used by an incumbent facing a more efficient entrant in the future. Buyers differ in their intrinsic switching costs. Breakup fees are profitably used to foreclose entry, regardless of the entrant's efficiency advantage or level of switching costs. Banning breakup fees is beneficial to consumers. The ban enhances the total welfare unless the entrant's efficiency is close to the incumbent's. Inefficient foreclosure arises not because of rent shifting from the entrant, but because the incumbent uses a long-term contract to manipulate consumers' expected surplus from not signing it.

We develop a quantifiable multi-country sourcing model in which firms self-select into importing based on their productivity and country-specific variables. In contrast to canonical export models where firm profits are additively separable across destination markets, global sourcing decisions naturally interact through the firm's cost function. We show that, under an empirically relevant condition, selection into importing exhibits complementarities across source markets. We exploit these complementarities to solve the firm's problem and estimate the model. Comparing counterfactual predictions to reduced-form evidence highlights the importance of interdependencies in firms' sourcing decisions across markets, which generate heterogeneous domestic sourcing responses to trade shocks.

Although economists have made substantial progress toward formulating theories of collusion in industrial cartels that account for a variety of fact patterns, important puzzles remain. Standard models of repeated interaction formalize the observation that cartels keep participants in line through the threat of punishment, but they fail to explain two important factual observations: first, apparently deliberate cheating actually occurs; second, it frequently goes unpunished even when it is detected. We propose a theory of equilibrium price cutting and business stealing in cartels to bridge this gap between theory and observation.

I propose a framework in which asymmetric multiproduct retailers compete for one-stop shoppers who have biased beliefs about their future purchase probabilities (and so make unplanned purchases). One firm carries a full portfolio of products while the other carries an incomplete but endogenous one. Using this framework, I examine the phenomenon of loss leading, the optimal product portfolio of the smaller firm, and the effects of banning loss leading. Among other results, I show that there is a nonpredatory (and possibly procompetitive) justification for the observation that such larger firms may charge below cost on the core product lines of their smaller rivals.

We quantify government spending multipliers in US data using Bayesian prior and posterior analysis of a monetary model with fiscal details and two distinct monetary-fiscal policy regimes. The combination of model specification, observable data, and relatively diffuse priors for some parameters lands posterior estimates in regions of the parameter space that yield fresh perspectives on the transmission mechanisms that underlie government spending multipliers. Short-run output multipliers are comparable across regimes—posterior means around 1.3 on impact—but much larger after 10 years under passive money/active fiscal than under active money/passive fiscal—90 percent credible sets of [1.5, 1.9] versus [0.1, 0.4] in present value, when estimated from 1955 to 2016.

We demonstrate the importance of politician social networks for electoral outcomes. Using large-scale data on family networks from over 20 million individuals in 15,000 villages in the Philippines, we show that candidates for public office are disproportionately drawn from more central families and family network centrality contributes to higher vote shares during the elections. Consistent with our theory of political intermediation, we present evidence that family network centrality facilitates relationships of political exchange. Moreover, we show that family networks exercise an effect independent of wealth, historical elite status, or previous electoral success.

We estimate the effect of immigrant legalization on the crime rate of immigrants in Italy by exploiting an ideal regression discontinuity design: fixed quotas of residence permits are available each year, applications must be submitted electronically on specific “click days,” and are processed on a first come, first served basis until the available quotas are exhausted. Matching data on applications with individual-level criminal records, we show that legalization reduces the crime rate of legalized immigrants by 0.6 percentage points on average, on a baseline crime rate of 1.1 percent.

A new basis for an international poverty measurement is proposed based on linear programming for specifying the least cost diet and explicit budgeting for nonfood spending. This approach is superior to the World Bank's $1-a-day line because it is (i) clearly related to survival and well being; (ii) comparable across time and space since the same nutritional requirements are used everywhere while nonfood spending is tailored to climate; (iii) adjusts consumption patterns to local prices; (iv) presents no index number problems since solutions are always in local prices; and (v) requires only readily available information. The new approach implies much more poverty than the World Bank's, especially in Asia.