This paper examines the effect of drug prohibition on the black market prices of cocaine and heroin. The paper examines the ratio of retail to farmgate price for cocaine, heroin, and several legal goods, and it compares legal versus black market prices for cocaine and heroin. The results suggest that cocaine and heroin are substantially more expensive than they would be in a legalized market, but to a lesser degree than suggested in previous research.

The United States became a net exporter of manufactured goods around 1910 after a dramatic surge in iron and steel exports began in the mid-1890s. This paper argues that natural-resource abundance fueled the expansion of iron and steel exports in part by enabling a sharp reduction in the price of U.S. exports relative to other competitors. The commercial exploitation of the Mesabi iron ore range, for example, reduced domestic ore prices by 50% in the mid-1890s and was equivalent to over a decade's worth of industry productivity improvement in its effect on iron and steel export prices. The nontradability of American ore resulted in its distinctive impact on the pattern of U.S. trade. The results are consistent with Wright's (1990) finding that U.S. manufactured exports were natural-resource-intensive at this time.

This paper investigates depository institutions' decisions whether or not to impose surcharges (direct usage fees) on nondepositors who use their ATMs. In addition to documenting patterns of surcharging, we examine motives for surcharging, including both direct generation of fee revenue and the potential to attract deposit customers who wish to avoid incurring surcharges at an institution's ATMs. Consistent with expectations, we find that the probability of surcharging increases with both the institution's share of market ATMs and the time since surcharging was first allowed in the state, and decreases with increasing local ATM density. Further, we find evidence consistent with the use of surcharges to attract deposit customers who are new to the local banking market, but we find no evidence that larger banks use surcharges as a means to attract existing customers away from smaller local competitors.

This study investigates whether higher input use per stay in the hospital (treatment intensity) and longer length of stay improve outcomes of care. We allow for endogeneity of intensity and length of stay by estimating a quasi-maximum-likelihood discrete factor model, where the distribution of the unmeasured variable is modeled using a discrete distribution. Data on elderly persons come from several waves of the National Long-Term Care Survey merged with Medicare claims data for 1984–1995 and the National Death Index. We find that higher intensity improves patient survival and some dimensions of functional status among those who survive.

We derive a structural index for labor market density based on the Ellison-Glaeser index for industry concentration. The labor market density index serves as a proxy for the number of workers that are potentially available for jobs in a particular area. The index is based on observed home-work location patterns. It is particularly useful for testing theories where the scale of the market matters. We apply this index to a standard wage equation and find that it explains almost half of the cross-region wage variance.

We examine the effects of reference income on the behavior of young male physicians. Using a unique panel of data, we relate physicians' reference and actual incomes to their subsequent income growth. Reference income has a strong positive effect on subsequent income for physicians who are below their reference points, but not for physicians who are at or above their reference points. Loss aversion, which posits a kink in utility at the reference point, explains this puzzling pattern. Physicians respond strongly to shortfalls from the reference point—they take unappealing actions to boost earnings—because the marginal utility of income is steep in that range. Competing prominent theories, tested here, fail to explain these relationships.

This paper uses performance-evaluation methodology to estimate the returns earned by insiders when they trade their company's stock. Our methods are designed to estimate the returns earned by insiders themselves and thereby differ from the previous insider-trading literature, which focuses on the informativeness of insider trades for other investors. We find that insider purchases earn abnormal returns of more than 6% per year, and insider sales do not earn significant abnormal returns. We compute that the expected costs of insider trading to noninsiders are about 10 cents for a $10,000 transaction.

We explore the importance of modeling strategies when estimating the emissions-income relationship. Using U.S. state-level panel data on nitrogen oxide and sulfur dioxide emissions, we estimate several environmental Kuznets curves using the standard parametric framework as well as a more flexible semiparametric alternative. Formal statistical comparisons of the results overwhelmingly reject the parametric approach. Moreover, the differences, particularly for sulfur dioxide, are economically significant.

A youth homicide reduction initiative in Boston in the mid- 1990s poses particular difficulties for program evaluation because it did not have a control group and the exact implementation date is unknown. A standard methodology in program evaluation is to use time series variation to compare pre- and postprogram outcomes. Such an approach is not valid, however, when the timing of program implementation or effect is unknown. To evaluate the Boston initiative, we adapt from the time series literature an unknown-breakpoint test to test for a change in regime. Tests for parameter instability provide a flexible framework for testing a range of hypotheses commonly posed in program evaluation. These tests both pinpoint the timing of maximal break and provide a valid test of statistical significance. We evaluate the results of the estimation using the asymptotic results in the literature and with our own Monte Carlo analyses. We conclude there was a statistically significant discontinuity in youth homicide incidents (on the order of 60%) shortly after the intervention was unveiled.

We formulate and test a hypothesis for the dramatic restructuring that the plant breeding and seed industry has recently undergone: the reorganization can be explained in part by the desire to exploit complementarities between intellectual assets needed to create genetically modified organisms. This hypothesis is tested using data on agricultural biotechnology patents, notices for field tests of genetically modified organisms, and firm characteristics. The presence of complementarities is identified with a positive covariance in the unexplained variation of asset holdings. Results indicate that coordination of complementary assets has increased under the consolidation of the industry.