In this article, I explore time variation in the relationship between the credit spread and employment growth. Using a Bayesian VAR framework and formal model selection, it is concluded that the relationship is best modelled with constant parameters, but that heteroscedasticity needs to be taken into account. An interesting change in the dynamics is uncovered, where volatility in employment shocks induces more of the dynamics earlier in the sample and the role of volatility in credit-spread shocks is more pronounced in the latter parts.