Knowledge that Transforms

We collect a new dataset on capital punishment in the United States and we propose a test of racial bias based upon patterns of sentence reversals. We model the courts as minimizing type I and II errors. If trial courts were unbiased, conditional on defendant's race the error rate should be independent of the victim's race. Instead we uncover 3 and 9 percentage points higher reversal rates in direct appeal and habeas corpus cases, respectively, against minority defendants who killed whites. The pattern for white defendants is opposite but not statistically significant. This bias is confined to Southern states.

A typical strategy for measuring the returns to international experience--comparing the earnings of returning migrants to comparable non-migrants--has been criticized for not adequately accounting for self-selection. I suggest an alternative, testing whether individuals born beyond US borders, but into US citizenship, earn more in US labor markets relative to counterparts born on US soil. Those born abroad to US citizens did not self-select an international experience. Using the ACS, I find that the US market rewards international experience, especially in occupations that value creativity and innovation. Women, in particular, are handsomely rewarded for international human capital.

When regulated firms are offered compensation to prevent them from relocating, efficiency requires that payments be distributed across firms so as to equalize marginal relocation probabilities, weighted by the damage caused by relocation. We formalize this fundamental economic logic and apply it to analyzing compensation rules proposed under the EU Emissions Trading Scheme, where emission permits are allocated free of charge to carbon-intensive and trade-exposed industries. We show that this practice results in substantial overcompensation for given carbon leakage risk. Efficient permit allocation reduces the aggregate risk of job loss by more than half without increasing aggregate compensation.

This paper analyzes the effects on voting behavior of information disseminated over the Internet. We address endogeneity in Internet availability by exploiting regional and technological peculiarities of the preexisting voice telephony network that hindered the roll-out of fixed-line infrastructure for high-speed Internet. We find negative effects of Internet availability on voter turnout, which we relate to a crowding-out of TV consumption and increased entertainment consumption. We find no evidence that the Internet systematically benefits specific parties, suggesting ideological self-segregation in online information consumption. Robustness tests, including placebo estimations from the pre-Internet period, support a causal interpretation of our results.

Married women's labor force participation (LFP) increased dramatically in the United States between the 1940 and 1960 cohort. The two cohorts lived under different divorce regimes (unilateral divorce rather than mutual consent). The 1960 cohort also had a lower gender wage gap. We use a quantitative dynamic life-cycle model of endogenous marital status, calibrated to key statistics for the 1940 cohort, to study the effects of these two changes. We find that both drivers combined are able to account for over 50 percent of the increase in married women's LFP and also generate large movements in marriage and divorce rates.

According to standard macroeconomic models, the zero lower bound greatly reduces the effectiveness of monetary policy and increases the efficacy of fiscal policy. However, private-sector decisions depend on the entire path of expected future short-term interest rates, not just the current short-term rate. Put differently, longer-term yields matter. We show how to measure the zero bound's effects on yields of any maturity. Indeed, 1- and 2-year Treasury yields were surprisingly unconstrained throughout 2008 to 2010, suggesting that monetary and fiscal policy were about as effective as usual during this period. Only beginning in late 2011 did these yields become more constrained.

We develop a revealed preference methodology that allows us to explore whether time inconsistencies in household choice are the product of individual preference nonstationarities or the result of individual heterogeneity and renegotiation within the household. An empirical application to household-level microdata highlights that an explicit recognition of the collective nature of household choice enables the observed behavior to be rationalized by a theory that assumes preference stationarity at the individual level. The methodology created in this paper also facilitates the recovery of theory-consistent discount rates for each individual within particular household under study.

Modern growth theory suggests that more than three-quarters of growth since 1950 reflects rising educational attainment and research intensity. As these transition dynamics fade, US economic growth is likely to slow at some point. However, the rise of China, India, and other emerging economies may allow another few decades of rapid growth in world researchers. Finally, and more speculatively, the shape of the idea production function introduces a fundamental uncertainty into the future of growth. For example, the possibility that artificial intelligence will allow machines to replace workers to some extent could lead to higher growth in the future.

We empirically characterize the mechanics of trade adjustment during the Argentine crisis. Though imports collapsed by 70 percent from 2000 to 2002, the entry and exit of firms or products at the country level played a small role. The within-firm churning of imported inputs, however, played a sizeable role. We build a model of trade in intermediate inputs with heterogeneous firms, fixed import costs, and roundabout production. Import demand is non-homothetic and the implications of an import price shock depend on the full distribution of firm-level adjustments. An import price shock generates a significant decline in productivity.

While filtering has long been considered the primary mechanism by which markets supply low-income housing, direct estimates of that process have been absent. This has contributed to doubts about the viability of markets and to misplaced policy. I fill this gap by estimating a “repeat income” model using 1985–2011 panel data. Real annual filtering rates are faster for rental housing (2.5 percent) than owner-occupied (0.5 percent), vary inversely with the income elasticity of demand and house price inflation, and are sensitive to tenure transitions as homes age. For most locations, filtering is robust which lends support for housing voucher programs.