The central objective of our paper is to empirically examine the relationship between financial development and income inequality. Theoretically, there are grounds for both a positive and negative relationship between the two variables. Our main finding is that financial development contributes...

Recent key challenges highlight the need to revisit Asia's financial development. These include the region's growth slowdown since the global crisis, compounded by a less benign external environment; internal structural challenges, such as population aging; and the maturing of much of the region...

Why do some economies grow faster than others? Do economies in the middle-income range face especially difficult challenges producing consistent growth? Using a transition matrix analysis on decade-level growth rates, we find that the data clearly reject the idea that middle-income economies...

We examine the determinants of financial development in Asia and the Pacific from 1995 to 2011. To do so, we apply the dynamic generalized method of moments to a panel data set of 26 economies in the region. We find that better governance and institutional quality foster financial development in...

The literature on the finance-growth nexus highlights the importance of the financial cycle for the estimation of potential output of an economy. We estimate potential output growth for the G-5 countries, as well as for 10 high- and middle-income Asian economies, using a multivariate model that...

The maturing of the manufacturing sector in many Asian countries, combined with the relative backwardness of its service sector, has made service sector development a top priority for developing Asia. Our central objective is to broadly survey and analyze the current landscape of the region's...

The three pillars of Asian energy security are an adequate, reliable supply; environmental sustainability; and affordable access for all. As Asians become more affluent, managing demand by tackling outmoded subsidies so prices reflect true costs, exploring green innovations in technology and...

GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...