Knowledge that Transforms

Participants in defined contribution (DC) retirement plans rarely adjust their portfolio allocations, suggesting that their investment choices and consequent money flows are sticky and not discerning. However, participants’ inertia could be offset by DC plan sponsors, who adjust the plan's investment options. We examine these countervailing influences on flows into U.S. mutual funds. We find that flows into funds from DC assets are more volatile and exhibit more performance sensitivity than non‐DC flows, primarily due to adjustments to the investment options by the plan sponsors. Thus, DC retirement money is less sticky and more discerning than non‐DC money.

Why wealth is systematically lower in the tropics remains a puzzle. We point out that latitude may have fundamental economic consequence because it plays a key role in how countries experience geophysical processes that have economic implications. We demonstrate that annual fluctuations in the El Nino Southern Oscillation (ENSO) leads to hotter and dryer local weather across tropical countries and subsequently to substantial losses in agricultural yields, output, and value-added. If volatility in agricultural production impedes economic growth, the relatively stronger influence of ENSO on the tropics may offer yet another partial explanation for slower historical growth in the tropics.

Using novel administrative data from Austria, we investigate the nature of temporary layoffs and recalls. We find that on average jobs ending in temporary layoffs lasted shorter but paid higher wages. The majority of temporarily laid-off workers return to their previous employer, but also one-fifth of those permanently laid-off are recalled. Compared to job switchers, recalls have shorter unemployment spells and do not experience wage losses. Negative duration dependence of unemployment only appears once recall exits are excluded for temporary and permanent layoffs. However, for temporary layoffs, the aggregate pattern masks significant heterogeneity by pre-unemployment tenure. Additional survey evidence suggests a lower average search level for temporary layoffs.

In this paper, we examine the effects of economic cycles on low-to moderate-income families. We use variation across states and over time to estimate the effects of cycles on the distribution of income, using fine gradations of the household income-to-poverty ratio. We also explore how the effects of cycles affect the risk of falling into poverty across demographic groups, focusing on age, race/ethnicity, and family type. We conclude by testing to see whether these relationships have changed in the Great Recession. We discuss the results in light of the changes in the social safety net in recent decades.

We ask whether past macro-economic and bank-specific shocks experienced and survived by a bank affect its current capitalization and risk-taking. Using Call Report data from 1984 to 2010, we find that a bank's experience shapes its capital structure and risk appetite. Banks that have survived periods of undercapitalization tend to implement higher equity ratios and take less risk in the periods following such crises, as measured by net charge-offs, non-performing loans, or earnings volatility 10-25 years later. However, observing high rates of failure among other banks stirs banks in the opposite direction. The evidence is suggestive of institutional memory affecting banks' capital and risk-taking.

We propose a new abstract definition of equilibrium in the spirit of competitive equilibrium: a profile of alternatives and a public ordering (expressing prestige, price, or a social norm) such that each agent prefers his assigned alternative to all lower-ranked ones. The equilibrium operates in an abstract setting built upon a concept of convexity borrowed from convex geometry. We apply the concept to a variety of convex economies and relate it to Pareto optimality. The “magic” of linear equilibrium prices is put into perspective by establishing an analogy between linear functions in the standard convexity and “primitive orderings” in the abstract convexity.

Market outcomes depend on the quality of information available to its participants. We measure the effect of information disclosure on market outcomes using a large-scale field experiment that randomly discloses quality information in wholesale automobile auctions. We argue that buyers in this market are horizontally differentiated across cars that are vertically ranked by quality. This implies that information disclosure helps match heterogeneous buyers to cars of varying quality, causing both good and bad news to increase competition and revenues. The data confirm these hypotheses. These findings have implications for the design of other markets, including e-commerce, procurement auctions, and labor markets.

We evaluate how intensified interior immigration enforcement impacts the likelihood that children of unauthorized immigrants will repeat a grade or drop out of school. Using a weighted index of the intensity of interior immigration enforcement at the MSA level, we find that increased enforcement has the largest impact on younger children ages 6 to 13. The estimates, which account for the non-random residential location of children and their families, reveal that increased enforcement raises young children's probability of repeating a grade by 6 percent and their likelihood of dropping out of school by 25.2 percent.

In earlier work we identified a robust negative association between religiosity and patents per capita, holding across countries as well as US states. In this paper we relate 11 indicators of individual openness to innovation (e.g., attitudes toward science and technology, new versus old ideas, change, risk taking, agency, imagination, and independence in children) to 5 measures of religiosity, including beliefs and attendance. We use five waves of the World Values Survey and control for sociodemographics, country and year fixed effects. Across the 52 regressions, greater religiosity is almost uniformly associated to less favorable views of innovation, with high significance.

I examine the effects that the 1986 Immigration Reform and Control Act (IRCA), which legalized almost 3 million immigrants, had on crime in the United States. I exploit the IRCA's quasi-random timing as well as geographic variation in the intensity of treatment to isolate causal impacts. I find decreases in crime of 3-5 percent, primarily due to decline in property crimes, equivalent to 120,000-180,000 fewer violent and property crimes committed each year due to legalization. I calibrate a labor market model of crime, finding that much of the drop in crime can be explained by greater labor market opportunities among applicants.