Top Incomes and the Measurement of Inequality: A Comparative Analysis of Correction Methods using EU, US and Egyptian Survey Data Vladimir Hlasny (Ewha Womans University, Seoul and UN-ESCWA) Paolo Verme (World Bank)

First Page		Document Content
Date: 2015-11-12 17:25:39 Income distribution Distribution of wealth Economic inequality Social inequality Welfare economics Income inequality metrics Gini coefficient Top-coded Sampling Household income Median Statistics		Top Incomes and the Measurement of Inequality: A Comparative Analysis of Correction Methods using EU, US and Egyptian Survey Data Vladimir Hlasny (Ewha Womans University, Seoul and UN-ESCWA) Paolo Verme (World Bank) Add to Reading List Source URL: iariw.org Download Document from Source Website File Size: 995,31 KB Share Document on Facebook

	Top Incomes and the Measurement of Inequality: A Comparative Analysis of Correction Methods using EU, US and Egyptian Survey Data Vladimir Hlasny (Ewha Womans University, Seoul and UN-ESCWA) Paolo Verme (World Bank) DocID: 1pBxm - View Document
	GSS/GSR Disclosure Control Guidance for Microdata Produced from Social Surveys – Case Studies These Case Studies are designed to show how statistical disclosure control is applied in practice when producing microdata. DocID: 15MEi - View Document
	User Guide for the Household Labour Force Survey and New Zealand Income Survey, June 2004 quarter – Combined Basic Confidentialised Unit Record File User Guide for the Household Labour Force Survey and New Zealand In DocID: 15ePP - View Document
	Top ten tips for coding – a guide for clinical staff Clinical coding is the process whereby information written in the patient notes is translated into coded data and entered onto hospital information systems. Coding u DocID: PP2b - View Document
	Appendix The cell types are coded as follows: Cell type Bound-ary Open space Stem cell Middle layer cell Top layer cell Stroma Block Aber-rant middle layer cell Aberrant top layer cell Lumen space DocID: NrIe - View Document