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A new inequality measure that is sensitive to extreme values and asymmetries

McAleer, Michael; Ryu, Hang-keun; Slottje, Daniel Jonathan - 2017

properties such a measure (or index) should contain. The Gini index is, of course, the most popular. There is a concurrent … Gini) that poorly detect the extreme values present in the underlying empirical IDF. This paper introduces a new inequality … measure to supplement, but not to replace, the Gini that measures more accurately the inherent asymmetries and extreme values …

Persistent link: https://www.econbiz.de/10011773015

Combining panel data sets with attrition and refreshment samples

Hirano, Keisuke; Imbens, Guido; Ridder, Geert; Rubin, … - 1998

With panel data important issues can be resolved that can not beaddressed with cross--sectional data. A major drawback is that paneldata suffer from more severe missing data problems. Adding a sampleconsisting of new units randomly drawn from the original populationas replacements for units who...

Persistent link: https://www.econbiz.de/10011283469

Measuring and explaining the limited take-up of the housing benefit in the Netherlands

Rouwendal, Jan - 2002 - This version: March 14, 2002

It is well known that the take-up rate of the Dutch housing benefit and othermeans tested benefits is substantially below 100%. In order to measure non-take up oneusually has to simulate entitlement to the benefits. In this paper we take a closer look atthe quality of the simulation. We find...

Persistent link: https://www.econbiz.de/10011326977

What do experts know about forecasting journal quality? : a comparison with ISI research impact in finance

Chang, Chia-Lin; McAleer, Michael - 2013

Persistent link: https://www.econbiz.de/10009724815

Estimating income inequality in China using grouped data and the generalized beta distribution

Chotikapanich, Duangkamon; Prasada Rao, D. S.; Tang, Kam Ki - 2006

There are two main types of data sources of income distributions in China: household survey data and grouped data. Household survey data are typically available for isolated years and individual provinces. In comparison, aggregate or grouped data are typically available more frequently and...

Persistent link: https://www.econbiz.de/10010284571

Global inequality: Recent evidence and trends

Chotikapanich, Duangkamon; Prasada Rao, D. S.; … - 2007

This paper examines the nature and extent of global and regional income distribution and inequality using the most recent country level data on income distribution drawn from World Bank and UNU-WIDER studies for the period 1993-2000. The methodology used is a recently developed technique to fit...

Persistent link: https://www.econbiz.de/10010284787

Estimating the level and distribution of global household wealth

Davies, James B.; Sandström, Susanna; Shorrocks, Anthony; … - 2007

Gini coefficient for the global distribution of wealth is 0.804, and the share of the top 10 per cent is 71 per cent … cent. Between-country differences in wealth are two-thirds of global inequality according to the Gini coefficient …

Persistent link: https://www.econbiz.de/10010284881

Religion and income

Bettendorf, Leon; Dijkgraaf, Elbert - 2008

This paper tests whether the behaviour of households in different countries is homogeneous with respect to the influence of religion on income. The violation of the homogeneity assumption would have two consequences. First, results based on country studies might not be applicable to other...

Persistent link: https://www.econbiz.de/10011374426

The bias of the Gini coefficient due to grouping

Van Ourti, Tom; Clarke, Philip M. - 2008

We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … correction term is obtained from studying the estimator of the Gini index within a measurement error framework. In addition, it …

Persistent link: https://www.econbiz.de/10011377108

Socioeconomic differences in health over the life cycle in an egalitarian country

Van Kippersluis, Hans; O'Donnell, Owen; Van Doorslaer, Eddy - 2009

A strong relationship between health and socioeconomic status is firmly established. Yet, partly due to the multidimensional and dynamic nature of the variables, the causal mechanisms connecting them are poorly understood. This paper argues that adoption of a life-cycle perspective is essential...

Persistent link: https://www.econbiz.de/10011377547