This paper investigates the mechanism of international technology cooperation and its effect on the timing and cost of global climate mitigation. I firstly present a simple analytical framework that describes how international R&D coordination works and its importance to climate change...

Using a unique dataset on daily foreign exchange intervention and a new methodological framework of a latent factor model of central bank intervention, this paper addresses the effects of intervention in an emerging market. Events in financial markets from 2002 to 2010 provide a natural...

The possible crucial role of international bank lending in the transmission of adverse economic disturbance from advanced economies to emerging economies in the recent global financial crisis has once again placed this type of capital flows into sharper scrutiny both in academic and policy...

Much evidence suggests that people are heterogeneous with regard to their abilities to make rational, forward-looking decisions. This raises the question as to when the rational types are decisive for aggregate outcomes and when the boundedly rational types shape aggregate results. We examine...

Export led growth has been very effective in modernising China’s economy and establishing a large high-saving middle class. Notwithstanding political opposition from trading partners, this growth strategy has also offered the rest of the world an improved terms of trade and cheaper finance....

In recent years state space models, particularly the linear Gaussian version, have become the standard framework for analyzing macro-economic and financial data. However, many theoretically motivated models imply non-linear or non-Gaussian specifications – or both. Existing methods for...

This paper examines the effectiveness of China's indigenous R&D investment and technological innovation to curb its carbon emissions. The mechanism of endogenous technical change (TC) is incorporated an intertemporal computable general equilibrium (CGE) model. R&D investments and knowledge...

We consider an adaptive importance sampling approach to estimating the marginal likelihood, a quantity that is fundamental in Bayesian model comparison and Bayesian model averaging. This approach is motivated by the difficulty of obtaining an accurate estimate through existing algorithms that...

A large decline in the efficiency of the US labor market in matching unemployed workers and vacant jobs has been documented during the Great Recession. We use a simple New Keynesian model with search and matching frictions in the labor market to study the macroeconomic implications of matching...

This paper studies the behavior of a central bank that seeks to conduct policy optimally while having imperfect credibility and harboring doubts about its model. Taking the Smets-Wouters model as the central bank's approximating model, the paper's main findings are as follows. First, a central...