In the USA, the linkages between the housing market, the credit market, and the real sector have been striking in the past decades. To explain these linkages, I develop a small-scale dynamic stochastic general equilibrium (DSGE) model in which agents update non-rational beliefs about future house price growth, in accord with recent survey data evidence. Both standard productivity shocks and shocks in the credit sector generate endogenously persistent booms in house prices. Long-lasting excess volatility in house prices, in turn, affects the financial sector and propagates to the real sector. This amplification and propagation mechanism improves the ability of the model to explain empirical puzzles in the US housing market and to explain the macro-financial linkages during 1985−2019. The learning model can also replicate the predictability of forecast errors evidenced in recent survey data.

We estimate a logit mixture vector autoregressive model describing monetary policy transmission in the euro area with a special emphasis on credit conditions. With the help of this model, monetary policy transmission can be described as mixture of two states, using an underlying logit model determining the relative state weights over time. We show that a widening of the credit spread and a tightening of credit standards directly lead to a reduction of real GDP growth, whereas shocks to the quantity of credit are less important in explaining growth fluctuations. The credit spread and—to some extent—credit standards are also the key determinants of the underlying state of the economy; the prevalence of the crisis state is more pronounced in times of adverse credit conditions. Together with a stronger shock transmission in the crisis state, this provides further evidence for a financial accelerator in the euro area.

The global financial crisis was characterized by heightened financial risk in the USA, which spread to the rest of the world, including emerging economies. This paper constructs a core–periphery model with a global banking network and financial frictions. Due to a common-lender effect, when global banks lend to an emerging economy, heightened financial risk in the center depresses cross-border lending to the emerging economy, reducing real activities, and exacerbating monetary policy trade-offs. As financial markets become more integrated, exchange rate flexibility becomes less welfare enhancing and active capital account policy becomes more welfare enhancing.

This paper proposes a financial accelerator framework to study the effects of heterogeneous and bounded rational expectations on macroeconomic dynamics. The paper examines the fluctuations effects departing from the rational expectations hypothesis in order to understand if there are significant implications on macroeconomic volatility and policy prescriptions. The findings suggest that macroeconomic stability and inflation dynamics depend on the chosen set of forecasting rules, as well as on the monetary policy adopted. The model shows that no monetary policy is able to quickly stabilize the system, as some fluctuations persist. Central banks face a trade-off between macro-volatility and speed of convergence to the steady state. This result offers some ground for fiscal policies aiming to prompt system stability. In addition, the analysis reveals a counterintuitive result confirming the “less-is-more” effect: increasing the decision-making and computational abilities of the agents may not lead the system to converge to the preferable steady state.

In this paper, I explore the dynamics of real estate market fluctuations and business cycle co-movements in a neoclassical setting. Applying a dynamic stochastic general equilibrium model of collateral constraints with asset reallocation to Japan, I find that public policy shocks account well for the business cycle dynamics. In particular, taxes on land holdings of households mimic the impact of a housing preference shock, and if volatile enough, can trigger large asset price fluctuations. However, in the absence of volatility, the impact on prices is intrinsically linked to the persistence of shocks. Dependence on fixed assets such as real estate to secure collateral-based financing significantly amplifies the effect of initial shocks on the real macro aggregates. The financial accelerator works through the “redistribution channel,” shifting a large fraction of the collateral between constrained and unconstrained agents in response to an external stimuli.