Test of the convergence hypothesis using IFS data

In this project, we rely on another data source, namely the International Financial Statistics (IFS) to empirically examine the convergence hypothesis. We first estimate the share of global income accruing to ten percentiles and twenty percentiles of the global population, defined in terms of nation...

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Main Authors:	Koh, Kiat Huat, Neo, Aik Chuan, Yeo, Kwang Kow
Other Authors:	Park, Donghyun
Format:	Final Year Project
Published:	2008
Subjects:	DRNTU::Social sciences::Economic theory DRNTU::Business::Management::Personnel management
Online Access:	http://hdl.handle.net/10356/10825
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-10825
record_format	dspace
spelling	sg-ntu-dr.10356-108252023-05-19T05:45:01Z Test of the convergence hypothesis using IFS data Koh, Kiat Huat Neo, Aik Chuan Yeo, Kwang Kow Park, Donghyun Nanyang Business School DRNTU::Social sciences::Economic theory DRNTU::Business::Management::Personnel management In this project, we rely on another data source, namely the International Financial Statistics (IFS) to empirically examine the convergence hypothesis. We first estimate the share of global income accruing to ten percentiles and twenty percentiles of the global population, defined in terms of national per capita income. We then use those shares to estimate the values of the two inequality indices – the Gini coefficient and the Theil index. 2008-09-24T07:47:57Z 2008-09-24T07:47:57Z 1999 1999 Final Year Project (FYP) http://hdl.handle.net/10356/10825 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Social sciences::Economic theory DRNTU::Business::Management::Personnel management
spellingShingle	DRNTU::Social sciences::Economic theory DRNTU::Business::Management::Personnel management Koh, Kiat Huat Neo, Aik Chuan Yeo, Kwang Kow Test of the convergence hypothesis using IFS data
description	In this project, we rely on another data source, namely the International Financial Statistics (IFS) to empirically examine the convergence hypothesis. We first estimate the share of global income accruing to ten percentiles and twenty percentiles of the global population, defined in terms of national per capita income. We then use those shares to estimate the values of the two inequality indices – the Gini coefficient and the Theil index.
author2	Park, Donghyun
author_facet	Park, Donghyun Koh, Kiat Huat Neo, Aik Chuan Yeo, Kwang Kow
format	Final Year Project
author	Koh, Kiat Huat Neo, Aik Chuan Yeo, Kwang Kow
author_sort	Koh, Kiat Huat
title	Test of the convergence hypothesis using IFS data
title_short	Test of the convergence hypothesis using IFS data
title_full	Test of the convergence hypothesis using IFS data
title_fullStr	Test of the convergence hypothesis using IFS data
title_full_unstemmed	Test of the convergence hypothesis using IFS data
title_sort	test of the convergence hypothesis using ifs data
publishDate	2008
url	http://hdl.handle.net/10356/10825
_version_	1770566207077875712

Test of the convergence hypothesis using IFS data

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