In 1966, Southern hospitals were barred from participating in Medicare unless they discontinued their longstanding practice of racial segregation. Using data from five Deep South states and exploiting county-level variation in Medicare certification dates, we find that gaining access to an ostensibly integrated hospital had no effect on Black postneonatal mortality. Similarly, there is little evidence that the campaign contributed to the trend towards in-hospital births among Southern Black mothers. These results are consistent with descriptions of the hospital desegregation campaign as producing only cosmetic changes and illustrate the limits of anti-discrimination policies imposed upon reluctant actors.

The labor market prospects of young, unskilled men fell dramatically in the 1980s and improved in the 1990s. Crime rates show a reverse pattern: increasing during the 1980s and falling in the 1990s. Because young, unskilled men commit most crime, this paper seeks to establish a causal relationship between the two trends. Previous work on the relationship between labor markets and crime focused mainly on the relationship between the unemployment rate and crime, and found inconclusive results. In contrast, this paper examines the impact of both wages and unemployment on crime, and uses instrumental variables to establish causality. We conclude that both wages and unemployment are significantly related to crime, but that wages played a larger role in the crime trends over the last few decades. These results are robust to the inclusion of deterrence variables, controls for simultaneity, and controlling for individual and family characteristics.

Reported expenditures for environmental protection are often cited as an assessment of the burden of current regulatory efforts. However, the potential for both incidental savings and uncounted costs means that the actual burden could be either higher or lower than these reported values.Using a production cost model that considers the possible interaction between environmental and non-environmental expenditures, we directly estimate the dollar-for-dollar incidental savings/uncounted costs arising from a one-dollar increase in reported environmental expenditures. Although recent literature supports the idea that reported expenditures probably understate the actual burden, we find no such evidence in the manufacturing sector based on a large panel of plant-level data. In one industry, we find statistically significant overstatement. In three others, we find no significant deviation in either direction.We conclude that, although cost estimates are not overstated on average, variation and uncertainty exist at the industry level, with some plants experiencing savings and others possibly facing uncounted burdens.

D. S. Prasada Rao, E. Anthony Selvanathan, Dirk Pilat, Generalized Theil-Tornqvist Indices with Applications to International Comparisons of Prices and Real Output, The Review of Economics and Statistics, Vol. 77, No. 2 (May, 1995), pp. 352-360

Julian M. Alston, Kenneth A. Foster, Richard D. Gree, Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results, The Review of Economics and Statistics, Vol. 76, No. 2 (May, 1994), pp. 351-356

Richard M. Adams, Thomas D. Crocker, Richard W. Katz, Assessing the Adequacy of Natural Science Information: A Bayesian Approach, The Review of Economics and Statistics, Vol. 66, No. 4 (Nov., 1984), pp. 568-575

We study regression discontinuity designs when covariates are included in the estimation. We examine local polynomial estimators that include discrete or continuous covariates in an additive separable way, but without imposing any parametric restrictions on the underlying population regression functions. We recommend a covariate-adjustment approach that retains consistency under intuitive conditions and characterize the potential for estimation and inference improvements. We also present new covariate-adjusted mean-squared error expansions and robust bias-corrected inference procedures, with heteroskedasticity-consistent and cluster-robust standard errors. We provide an empirical illustration and an extensive simulation study. All methods are implemented in R and Stata software packages.

This paper shows that yields to maturity of U.S. Treasury bills are cointegrated, and that during periods when the Federal Reserve specifically targeted short-term interest rates, the spreads between yields of different maturity define the cointegrating vectors.This cointegrating relationship implies that a single non-stationary common factor underlies the time series behavior of each yield to maturity and that risk premia are stationary.An error correction model which uses spreads as Ihe error correction terms is unstable over the Federal Reserve's policy regime changes, but a model using post 1982 data is stable and is shown to be useful for forecasting changes in yields.

Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies. Despite its popularity, little attention has been paid to the statistical properties of the procedure. We develop a general framework for portfolio sorting by casting it as a nonparametric estimator. We present valid asymptotic inference methods and a valid mean square error expansion of the estimator leading to an optimal choice for the number of portfolios. In practical settings, the optimal choice may be much larger than the standard choices of five or ten. To illustrate the relevance of our results, we revisit the size and momentum anomalies.

This paper introduces a structural model for the coevolution of networks and behavior. We characterize the equilibrium of the underlying game and adopt the Bayesian Double Metropolis-Hastings algorithm to estimate the model. We further extend the model to incorporate unobserved heterogeneity and show that ignoring this heterogeneity can lead to biased estimates in simulation experiments. We apply the model to study R&D investment and collaboration decisions in the chemical and pharmaceutical industry and find a positive knowledge spillover effect. Our model also provides a tractable framework for a long-run key player analysis.