Knowledge that Transforms

Does variation in how religious festivals are celebrated have economic consequences? We study the economic impacts of the timing of Catholic patron saint day festivals in Mexico. For causal identification, we exploit cross-locality variation in festival dates and in the timing of agricultural seasons. We estimate the impact of "agriculturally-coinciding" festivals (those coinciding with peak planting or harvest months) on long-run economic development of localities. Agriculturally-coinciding festivals lead to lower household income and worse development outcomes overall. These negative effects are likely due to lower agricultural productivity, which inhibits structural transformation out of agriculture. Agriculturally-coinciding festivals may nonetheless persist because they also lead to higher religiosity and social capital.

We study bargaining with divisibility and interdependent values. A buyer and a seller trade a divisible good. The seller is privately informed about its quality, which can be high or low. Gains from trade are positive and decreasing in quantity. The buyer makes offers over time. Divisibility introduces a new channel of competition between the buyer’s present and future selves. The buyer’s temptation to split the purchases of the high-quality good is detrimental to him. As bargaining frictions vanish and the good becomes arbitrarily divisible, the high-quality good is traded smoothly over time and the buyer’s payoff shrinks to zero.

We quantify reference dependence and loss aversion in the housing market using rich Danish administrative data. Our structural model includes loss aversion, reference dependence, financial constraints, and a sale decision, and matches key nonparametric moments, including a “hockey stick” in listing prices with nominal gains, and bunching at zero realized nominal gains. Households derive substantial utility from gains over the original house purchase price; losses affect households roughly 2.5 times more than gains. The model helps explain the positive correlation between aggregate house prices and turnover, but cannot explain visible attenuation in reference dependence when households are more financially constrained.

We measure the overall influence of contextual versus individual factors (e.g., voting rules and media as opposed to race and education) on voter behavior, and explore underlying mechanisms. Using a US-wide voter-level panel, 2008–2018, we examine voters who relocate across state and county lines, tracking changes in registration, turnout, and party affiliation to estimate location and individual fixed effects in a value-added model. Location explains 37 percent of the cross-state variation in turnout (to 63 percent for individual characteristics) and an only slightly smaller share of variation in party affiliation. Place effects are larger for young and White voters.

This paper quantifies employer market power in US manufacturing and how it has changed over time. Using administrative data, we estimate plant-level markdowns—the ratio between a plant’s marginal revenue product of labor and its wage. We find most manufacturing plants operate in a monopsonistic environment, with an average markdown of 1.53, implying a worker earning only 65 cents on the marginal dollar generated. To investigate long-term trends for the entire sector, we propose a novel, theoretically grounded measure for the aggregate markdown. We find that it decreased between the late 1970s and the early 2000s, but has been sharply increasing since.

This paper examines race and police use of force using data on 1.6 million 911 calls in two cities, neither of which allows for discretion in officer dispatch. Results indicate White officers increase force much more than minority officers when dispatched to more minority neighborhoods. Estimates indicate Black (Hispanic) civilians are 55 (75) percent more likely to experience any force, and five times as likely to experience a police shooting, compared to if White officers scaled up force similarly to minority officers. Additionally, 14 percent of White officers use excess force in Black neighborhoods relative to our statistical benchmark.

We analyze the effects of Mafia infiltration in the legal economy. Combining information from investigative records with panel data on firms’ governance and balance sheets, we build an indicator of infiltration in firms located in an area with no tradition of Mafia. We show that Mafia targets young and less efficient firms and that infiltration generates a significant rise in firms’ revenues, with no proportionate growth in production inputs and a deterioration of the firm’s financial situation leading to market exit. These findings are consistent with a story of predatory behavior in which infiltration is used for money laundering or rent extraction.

In this paper, we conduct a structural analysis of multi-attribute auctions of contracts with a general allocation rule when private information is multidimensional. Upon modeling bidders’ contract value that accounts for their endogenous ex post actions, we nonparametrically identify bidders’ private information from their bids and estimate their joint distribution. Analyzing cash-royalty auctions of Louisiana oil leases, we find government revenue worse and development rates no better than in a cash auction with a fixed royalty in view of adverse selection and moral hazard. Our findings revise conventional wisdom on the optimality of multi-attribute auctions.

I study how the relative efficiency of high- and low-skill labor varies across countries. Using microdata for countries at different stages of development, I document that differences in relative quantities and wages are consistent with high-skill workers being relatively more productive in rich countries. I exploit variation in the skill premia of foreign-educated migrants to discriminate between two possible drivers of this pattern: cross-country differences in the skill bias of technology and in the relative human capital of skilled labor. I find that the former is quantitatively more important, and discuss the implications of this result for development accounting.

This study argues that economic vulnerability causes citizens to participate in clientelism, a phenomenon with various pernicious consequences. To examine how reduced vulnerability affects citizens’ participation in clientelism, we employ two exogenous shocks to vulnerability. First, we designed a randomized control trial to reduce household vulnerability: our development intervention constructed residential water cisterns in drought-prone areas of Brazil. Second, we exploit rainfall shocks. We find that reducing vulnerability significantly decreases requests for private goods from politicians, especially among citizens likely to be in clientelist relationships. Moreover, reducing vulnerability decreases votes for incumbent mayors, who typically have more resources for clientelism.