A New Statistical Analysis of Capital Punishment Incorporating U.S. Postmoratorium Data

Objective. This article reports on a basic regression analysis of the deterrence hypothesis incorporating U.S. data that has accumulated since the resumption of capital punishment in 1977. Methods. The cross‐sectional approach employs data on state homicide rates and estimated execution rates between 1976 and 1997 across 50 states and the District of Columbia. The time series approach employs annual data on the U.S. national homicide rate and estimated national execution rate between 1930 and 1997. Results. Using state data, statistically weak support is found for the deterrence hypothesis. Using national time series data, considerably stronger statistical support is found for the deterrence hypothesis. It is also shown that the same time series regression using data from 1930 to 1976 does not support the deterrence hypothesis, thus showing the probative value of the more recent data. Conclusions. Statistical data from the postmoratorium period are likely to be useful in evaluating the deterrence hypothesis, and therefore social scientists should be carefully examining this evidence.