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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Bibliographic Details
Main Authors: Koh, Kiat Huat, Neo, Aik Chuan, Yeo, Kwang Kow
Other Authors: Park, Donghyun
Format: Final Year Project (FYP)
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/10825
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author Koh, Kiat Huat
Neo, Aik Chuan
Yeo, Kwang Kow
author2 Park, Donghyun
author_facet Park, Donghyun
Koh, Kiat Huat
Neo, Aik Chuan
Yeo, Kwang Kow
author_sort Koh, Kiat Huat
collection NTU
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.
first_indexed 2024-10-01T06:47:23Z
format Final Year Project (FYP)
id ntu-10356/10825
institution Nanyang Technological University
last_indexed 2024-10-01T06:47:23Z
publishDate 2008
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spelling ntu-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
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
title 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_short Test of the convergence hypothesis using IFS data
title_sort test of the convergence hypothesis using ifs data
topic DRNTU::Social sciences::Economic theory
DRNTU::Business::Management::Personnel management
url http://hdl.handle.net/10356/10825
work_keys_str_mv AT kohkiathuat testoftheconvergencehypothesisusingifsdata
AT neoaikchuan testoftheconvergencehypothesisusingifsdata
AT yeokwangkow testoftheconvergencehypothesisusingifsdata