We argue that positive comovements between land prices and business investment are a driving force behind the broad impact of land-price dynamics on the macroeconomy. We develop an economic mechanism that captures the comovements by incorporating two key features into a DSGE model: we introduce...

We argue that positive comovements between land prices and business investment are a driving force behind the broad impact of land-price dynamics on the macroeconomy. We develop an economic mechanism that captures the comovements by incorporating two key features into a DSGE model: we introduce...

A DSGE model with a Taylor rule is augmented with an evolutionary switching between technical and fundamental analyses in currency trade, where the fractions of these trading tools are determined within the model. Then, a shock hits the economy. As a result, chaotic dynamics and long swings may...

This paper carries out a systematic investigation into the possibility of structural shifts in the UK economy using a Markov-switching dynamic stochastic general equilibrium (DSGE) model. We find strong evidence for shifts in the structural parameters of several equations of the DSGE model. In...

I develop a dynamic search model of the housing market in which prices, determined by auction, exhibit greater volatility than prices in the search and matching model with Nash bargaining from the literature. This helps solve the puzzle of excess volatility of house prices. The outcomes of the...

I develop a tractable dynamic model of the housing market where the prices are determined in auctions rather than by Nash bargaining as in the housing search model from the literature. The model with auctions mimics the actual housing markets by generating fluctuations between the booms and...

The post-1983 moderation coincided with an ahistorical divergence in the money aggregate growth and velocity volatilities away from the downward trending GDP and inflation volatilities. Using an endogenous growth monetary DSGE model, with micro-based banking production, enables a contrasting...

We develop a Bayesian Markov chain Monte Carlo algorithm for estimating risk premia in dynamic stochastic general equilibrium (DSGE) models with stochastic volatility. Our approach is fully Bayesian and employs an affine solution strategy that makes estimation of large-scale DSGE models...