This paper estimates a New Keynesian dynamic stochastic general equilibrium (DSGE) model in small open economies using the yield curve data as well as standard macro data. The DSGE model is estimated on the data of three inflation-targeting small open economies (Australia, Canada, and New...

To capture the evolving relationship between multiple economic variables, time variation in either coefficients or volatility is often incorporated into vector autoregressions (VARs). However, allowing time variation in coefficients or volatility without restrictions on their dynamic behavior...

The concept of trend inflation is important in making accurate inflation forecasts. However, there is little consensus on how the trend in inflation should be modeled. While some studies suggest a survey-based measure of long-run inflation expectations as a good empirical proxy for trend...

This dissertation consists of three essays on Bayesian estimation of dynamic macroeconomic models. The first essay is focused on explaining the observed high persistence of hours worked in a standard real business cycle model, while two other essays are about exploring macro-finance interface by...

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Using Bayesian methods we estimate a stochastic growth model in which hours worked are stationary and a modified version with...

This paper analyses corporate loan guarantees among the Korean chaebol affiliates. Loan guarantees are found to be efficiency-neutral under a set of ideal conditions characterized by perfect and symmetric information, no agency problem, and no governmental interference in private financial...

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple...

Using Bayesian methods, we estimate a Markov-switching New Keynesian (MSNK) model that allows shifts in the monetary policy reaction coefficients and shock volatilities with U.S. data. We find that a more aggressive monetary policy regime was in place after the Volcker disinflation and before...

This paper estimates a long run risk model with term structure data. Inflation and consumption growth both contain correlated long run risk components. The model is estimated by the likelihood-based Bayesian methods and estimates of the latent long run risk factors are extracted from both macro...

The authors examine whether risk premiums can predict future economic growth and whether monetary policy can influence risk premiums.