We revisit the determinants of house prices in Chinaís megacities. Previous work on similar topics fails to account for the widespread cross-sectional heterogeneity and interdependencies, despite the importance of them. Using a PVAR estimated by the Bayesian method allowing for these features,...

We investigate what determines China's housing price dynamics using a DSGE-VAR estimated with priors allowing for the featured operating of normal and "shadow" banks in China, with data observed between 2001 and 2014. We find that the housing demand shock, which is the essential factor for...

A canonical DSGE model for housing, extended to embrace government spending and governmentinvestment, is estimated on Chinese data to evaluate the impact of Öscal policy on house prices. Govern-ment spending substitutes for housing; a rise in government spending lowers house prices, but its...

We set out Modern Monetary Theory (MMT) as a full DSGE model, and test it by indirect inference on post Financial Crisis US data, alongside a standard New Keynesian, NK, model. The MMT model is rejected, while the NK model has a high probability. We then evaluate replacing the Öscal and...

We examine whether by adding a credit channel to the standard New Keynesian model we can account better for the behaviour of US macroeconomic data up to and including the banking crisis. We use the method of indirect inference which evaluates statistically how far a model is simulated behaviour...

The banking crisis has caused a resurgence of interest in behavioural models of expectations in macroeconomics. Here we evaluate behavioural and rational expectations econometrically in a New Keynesian framework, using US post-war data and the method of indirect inference. We find that after...