Recently, there has been considerable work on stochastic time-varying coefficient models as vehicles for modelling structural change in the macroeconomy with a focus on the estimation of the unobserved paths of random coefficient processes. The dominant estimation methods, in this context, are...

Globally, food systems have become heavily industrialized and are currently threatening both environmental sustainability and human health. Feeding a growing world while remaining within safe social-ecological planetary boundaries, as dictated by the UN Social Development Goals and the Paris...

Over time, economic statistics are refined. This means that newer data is typically less well measured than old data. Time variation in measurement error like this influences how forecasts should be made. We show how modelling the behaviour of the statistics agency generates both an estimate of...

Using a model of deterministic structural change, we revisit several topics in inflation dynamics explored previously using stochastic, time - varying parameter models. We document significant reductions in inflation persistence and predictability. We estimate that changes in the volatility of...

We show that interest rate rules that feed back on the growth rates of target variables (such as output or asset prices) may induce recessions in the presence of a zero lower bound, through purely self-fulfilling dynamics. This pathology is illustrated in a small New Keynesian model with...