Testing for Duration Dependence with Discrete Data

We use a Monte Carlo study to examine the consequences of using continuous distribution models to test for duration dependence when the data are reported in a discrete format. This specification error leads to mistaken evidence of duration dependence for sample sizes and parameter values likely to arise in empirical studies. We present and evaluate an approach that circumvents the misspecification problem then illustrate the problem and solution using stock return data.