The half-life of deviations from purchasing power parity (PPP) plays a central role in the ongoing debate about the ability of macroeconomic models to account for the time series behaviour of the real exchange rate. The main contribution of this paper is a general framework in which alternative...

This dissertation asks whether frequency misspecification of a New Keynesian model results in temporal aggregation bias of the Calvo parameter. First, when a New Keynesian model is estimated at a quarterly frequency while the true data generating process is the same but at a monthly...

In the applications of identified VAR models, finite-sample properties are not obvious to obtain when identifying restrictions are imposed on some lagged relationships. As a result, researchers have either left lagged relationships unrestricted even though some restrictions clearly make economic...

Under the assumption that asset markets are incomplete, this paper introduces bankruptcy in an intertemporal heterogeneous agent model with capital accumulation and heterogeneous agents. It explores the role of regulatory intervention and argues that intervention in the form of a level of...

Having efficient and accurate samplers for simulating the posterior distribution is crucial for Bayesian analysis. We develop a generic posterior simulator called the "dynamic striated Metropolis-Hastings (DSMH)" sampler. Grounded in the Metropolis-Hastings algorithm, it draws its strengths from...

We argue that positive co-movements 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 co-movements by incorporating two key features into a DSGE model: We...

This paper develops a general perturbation methodology for constructing high-order approximations to the solutions of Markov-switching DSGE models. We introduce an important and practical idea of partitioning the Markov-switching parameter space so that a steady state is well defined. With this...