A Direct Monte Carlo (DMC) approach is introduced for posterior simulation in theInstrumental Variables (IV) model with one possibly endogenous regressor, multipleinstruments and Gaussian errors under a flat prior. This DMC method can also beapplied in an IV model (with one or multiple...

We employ a multinomial probit model to understand the housing choice of Koreans, more specifically to understand the decision factors that affect Koreans’ housing decisions. The data used are from surveys conducted in July, 2006, and we use the Gibbs sampling technique in analyzing them....

We estimate a two-sector DSGE model with financial intermediaries—a-la Gertler and Karadi 2011) and Gertler and Kiyotaki (2010)—and quantify the importance of financial shocks in accounting for aggregate and sectoral fluctuations. Our results indicate a significant role of financial market...

We estimate a two-sector DSGEmodel with financial intermediaries—a-la Gertler and Karadi (2011) and Gertler and Kiyotaki (2010)—and quantify the importance of news shocks in accounting for aggregate and sectoral fluctuations. Our results indicate a significant role of financial market news...

This paper proposes a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model where real money balances enter the production function. By using a Bayesian analysis, our model shows that money is not an omitted input to the production process and rejects the decreasing returns to scale...

In this article we try to introduce Bayesian methodology for the estimation of dynamic stochastic general equilibrium model of the Ukrainian economy. The resulting impulse response functions can be used for increasing the efficiency of monetary and fiscal policy interventions. In addition, we...

This paper analyzes the contribution of anticipated capital and labor tax shocks to business cycle volatility in an estimated New Keynesian DSGE model. While fiscal policy accounts for 12 to 20 percent of output variance at business cycle frequencies, the anticipated component hardly matters for...