Summary: We correct the limit theory presented in an earlier paper by L. Hu and P. C. B. Phillips [J. Econom. 120, No. 1, 103–138 (2004; Zbl 1282.91268)] for nonstationary time series discrete choice models with multiple choices and thresholds. The new limit theory shows that, in contrast to the binary choice model with nonstationary regressors and a zero threshold where there are dual rates of convergence (\(n^{1/4}\) and \(n^{3/4}\)), all parameters including the thresholds converge at the rate \(n^{3/4}\). The presence of nonzero thresholds therefore materially affects rates of convergence. Dual rates of convergence reappear when stationary variables are present in the system. Some simulation evidence is provided, showing how the magnitude of the thresholds affects finite sample performance. A new finding is that predicted probabilities and marginal effect estimates have finite sample distributions that manifest a pile-up, or increasing density, towards the limits of the domain of definition.