Representative models of the macroeconomy (RMs), such as DSGE models, frequently contain unobserved variables. A finite-order VAR representation in the observed variables may not exist, and therefore the impulse responses of the RMs and SVAR models may differ. We demonstrate this divergence...

Implications of partial information for applied macroeconomic modelling along four dimensions are shown, and analysis provided on how they can be addressed. First, when permanent shocks are present a Vector Error-Correction Model including latent, as well as observed, variables is required to...

Many macroeconometric models are built to understand business cycles and (possibly) to predict recessions. But the methods applied to assess them are rarely of the form that one learns either whether they provide a good explanation of cycle characteristics or whether they can predict recessions....