This paper investigates the dynamic connectedness of random shocks to housing prices between the 50 U.S. states and the District of Columbia. The paper implements a standard vector autoregressive (VAR) model as well as three VAR models with shrinkage effects - Elastic Net, Lasso, and Ridge VAR...

This paper examines the causal relationships between the real house price index and real GDP per capita in the U.S., using the bootstrap Granger (temporal) non-causality test and a fixed-size rolling-window estimation approach. We use quarterly time-series data on the real house price index and...

This paper provides out-of-sample forecasts of linear and non-linear models of US and Census regions housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts of the housing price distributions. The non-linear smooth-transition...

The lag in effect of monetary policy contains vital information for the policy evaluation. Allowing for a time-varying treatment effect, we show that inflation targeting effectively lowers inflation for both developed and developing countries. Developed countries reach their targets rapidly with...

The last two decades witnessed a dramatic transformation of how central banks operate. An increasing number of central banks now use inflation targeting as their monetary policy control mechanism. A series of papers attempt to measure the effectiveness of inflation targeting on economic...

The lag in effect of monetary policy contains vital information for the policy evaluation. Allowing for a time-varying treatment effect, we show that inflation targeting effectively lowers inflation for both developed and developing countries. Developed countries reach their targets rapidly with...

We employ a 10-variable dynamic structural general equilibrium model to forecast the US real house price index as well as its turning point in 2006:Q2. We also examine various Bayesian and classical time-series models in our forecasting exercise to compare to the dynamic stochastic general...

We implement several Bayesian and classical models to forecast housing prices in 20 US states. In addition to standard vector-autoregressive (VAR) and Bayesian Vector Autoregressive (BVAR) models, we also include the information content of 308 additional quarterly series in some models. Several...