Using end-of-month bid-ask spreads for 540 NYSE stocks over the period 1982-87, the authors document a seasonal pattern in which both relative and absolute spreads decline from the end of December to the end of the following January. Cross-sectional regressions do not, however, provide evidence of a significant correlation between changes in spreads at the turn of the year and January stock returns. Either there is no cause and effect relation between the coincidental seasonals in bid-ask spreads and January returns for NYSE stocks or the data are too "noisy" to reveal any relation.

This paper investigates interstate variation in income inequality. By avoiding inequality indices and focusing directly on the Lorenz curve, the authors provide a more general explanation of the differences in inequality. They find that mean family income, the standard deviation of years of schooling, per capita educational expenditure, and property income are robust predictors of inequality. Of particular interest is their finding that, ceteris paribus, higher per capita education expenditures tend to be associated with states that have income inequality which is greater than the U.S. average.

Using end‐of‐month bid‐ask spreads for 540 NYSE stocks over the period 1982–1987, we document a seasonal pattern in which both relative and absolute spreads decline from the end of December to the end of the following January. Cross‐sectional regressions do not, however, provide evidence of a significant correlation between changes in spreads at the turn of the year and January stock returns. Either there is no cause and effect relation between the coincidental seasonals in bid‐ask spreads and January returns for NYSE stocks or the data are too “noisy” to reveal any relation.

Using end-of-month bid-ask spreads for 540 NYSE stocks over the period 1982–1987, we document a seasonal pattern in which both relative and absolute spreads decline from the end of December to the end of the following January. Cross-sectional regressions do not, however, provide evidence of a significant correlation between changes in spreads at the turn of the year and January stock returns. Either there is no cause and effect relation between the coincidental seasonals in bid-ask spreads and January returns for NYSE stocks or the data are too “noisy” to reveal any relation.