A dime for your time: Distribution of earnings in the Malaysian manufacturing sector
This paper examines changes in the distributions of earnings of employees in the Malaysian manufacturing sector, using the Malaysian Einployee Survey data fi-om the World Bank with a sample size of slightly more than 10,000 respondents.Conventional OLS estimations answer questions such as 'Does...
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my.uum.repo.170062016-04-17T03:25:30Z http://repo.uum.edu.my/17006/ A dime for your time: Distribution of earnings in the Malaysian manufacturing sector Soon, Jan Jan HG Finance TS Manufactures This paper examines changes in the distributions of earnings of employees in the Malaysian manufacturing sector, using the Malaysian Einployee Survey data fi-om the World Bank with a sample size of slightly more than 10,000 respondents.Conventional OLS estimations answer questions such as 'Does years of education affect salary?' Quantile estimations however, address questions such as 'does years of education affect salary differently for those at the upper end of the salary distribution (the relative winners) than for those at its lower end (the relative losers) and the middle-income workers (the averages)?', where the effects of years of education on a particular earning quantile (or group) can be compared to those on other salary quantiles.Heterogeneity across different salary quantiles can therefore be studied. 2015-11-04 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/17006/1/27.pdf Soon, Jan Jan (2015) A dime for your time: Distribution of earnings in the Malaysian manufacturing sector. In: 4th ASEAN Consortium on Department of Economics Conference (ACDEC) 2015, 04-05 November 2015, Student Accomodation Centre (SAC), UUM. http://www.acdec2015.com/ |
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HG Finance TS Manufactures Soon, Jan Jan A dime for your time: Distribution of earnings in the Malaysian manufacturing sector |
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This paper examines changes in the distributions of earnings of employees in the Malaysian manufacturing sector, using the Malaysian Einployee Survey data fi-om the World Bank with a sample size of slightly more than 10,000 respondents.Conventional OLS estimations answer questions such as 'Does years of education affect salary?' Quantile estimations however, address questions such as 'does years of education affect salary differently for those at the upper end of the salary distribution (the relative winners) than for those at its lower end (the relative losers) and the middle-income workers (the averages)?', where the effects of years of education on a particular earning quantile (or group) can be compared to those on other salary quantiles.Heterogeneity across different salary
quantiles can therefore be studied. |
format |
Conference or Workshop Item |
author |
Soon, Jan Jan |
author_facet |
Soon, Jan Jan |
author_sort |
Soon, Jan Jan |
title |
A dime for your time: Distribution of earnings
in the Malaysian manufacturing sector |
title_short |
A dime for your time: Distribution of earnings
in the Malaysian manufacturing sector |
title_full |
A dime for your time: Distribution of earnings
in the Malaysian manufacturing sector |
title_fullStr |
A dime for your time: Distribution of earnings
in the Malaysian manufacturing sector |
title_full_unstemmed |
A dime for your time: Distribution of earnings
in the Malaysian manufacturing sector |
title_sort |
dime for your time: distribution of earnings
in the malaysian manufacturing sector |
publishDate |
2015 |
url |
http://repo.uum.edu.my/17006/1/27.pdf http://repo.uum.edu.my/17006/ http://www.acdec2015.com/ |
_version_ |
1644282114086010880 |
score |
13.211869 |