Top Income Shares and Mortality: Evidence from Advanced Countries

Minimum Distance Testing and Top Income Shares in Korea

We study Kolmogorov-Smirnov goodness of fit tests for evaluating distributional hypotheses where unknown parameters need to be fitted. Following work of Pollard (1979), our approach uses a Cramérvon Mises minimum distance estimator for parameter estimation. The asymptotic null distribution of the resulting test statistic is represented by invariance principle arguments as a functional of a Brow...

Top income shares in Canada: recent trends and policy implications

According to Canadian taxfiler data, over the last thirty years there has been a surge in the income shares of the top 1%, top 0.1% and top 0.01% of income recipients, even with longitudinal smoothing by individual using three- or five-year moving averages. Top shares fell in 2008 and 2009, but only by a fraction of the overall surge. Alberta, British Columbia, and Ontario have much more pronou...

Panel Causality Relationship Among FDI And Trade (Evidence From 16 Advanced Europe Countries)

Macro Determinants of Infant Mortality in ECO Countries: Evidence from Panel Data Analysis

Background Infant mortality rate is widely used to assessing the health status of population in both developing and developed countries. The aim of this study was to identify the main factors affect infant mortality rate in ECO countries for the years 2005 to 2012. Methods A panel data model from ECO countries from 2005 to 2012 used to identify the some of key explanatory variables (GDP per cap...

Social Capital and Relative Income Concerns: Evidence from 26 Countries

Research evidence on the impact of relative income position on individuals’ attitudes and behaviour is sorely lacking. Therefore, using the International Social Survey Programme 1998 data from 26 countries this paper investigates the impact of relative income on 14 measurements of social capital. We find support for a considerable deleterious positional concern effect of persons below the refer...