A decomposition analysis of wage inequality in the Philippines

The data suggests that, in the Philippines, the wage gap between the 90th (highincome earners) and 50th percentile (middle-income) wage groups has been declining. As such, we aim to study this upper-tail wage inequality further by decomposing wage data using the October rounds of the Philippine Labo...

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Main Authors: Chow, Neriza C., Dabbay, Maria Fe Carmen L., Sauler, Mariel Monica R.
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/11009
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-112602023-10-14T02:25:51Z A decomposition analysis of wage inequality in the Philippines Chow, Neriza C. Dabbay, Maria Fe Carmen L. Sauler, Mariel Monica R. The data suggests that, in the Philippines, the wage gap between the 90th (highincome earners) and 50th percentile (middle-income) wage groups has been declining. As such, we aim to study this upper-tail wage inequality further by decomposing wage data using the October rounds of the Philippine Labor Force Survey (LFS) from 2007 to 2017 and by looking at trends in wages and employing two mutually exclusive methods. For the trend in relative wage changes, we observe that between the 90th and 50th percentiles of the wage distribution, the wage gap increased from 2007 to 2012 and decreased from 2012 to 2017. For the daily log wages for 2007 and 2017, we find that female workers belonging to the upper half of the wage distribution earn higher than males. In performing a simple regression, we find that 90-50 wage gap among each sub-group of gender, location and educational attainment is decreasing from 2011 to 2017. Furthermore, the 90-50 wage gap among nonNCR workers is greater than the 90-50 wage gap among NCR workers. A similar result is found between the wage gap among males and females, with a higher disparity for the former. For the standard variance decomposition method, the results show that overall variability in female wages explained by age, education and region is 48 to 55%. However, the overall and upper half variability in wages of males, NCR workers, non-NCR workers, high school graduates and college graduates are better explained by other factors (“within” variables) such as work experience or the worker’s type of job. 2019-07-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11009 Faculty Research Work Animo Repository Wages—Sex differences—Philippines Labor Economics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Wages—Sex differences—Philippines
Labor Economics
spellingShingle Wages—Sex differences—Philippines
Labor Economics
Chow, Neriza C.
Dabbay, Maria Fe Carmen L.
Sauler, Mariel Monica R.
A decomposition analysis of wage inequality in the Philippines
description The data suggests that, in the Philippines, the wage gap between the 90th (highincome earners) and 50th percentile (middle-income) wage groups has been declining. As such, we aim to study this upper-tail wage inequality further by decomposing wage data using the October rounds of the Philippine Labor Force Survey (LFS) from 2007 to 2017 and by looking at trends in wages and employing two mutually exclusive methods. For the trend in relative wage changes, we observe that between the 90th and 50th percentiles of the wage distribution, the wage gap increased from 2007 to 2012 and decreased from 2012 to 2017. For the daily log wages for 2007 and 2017, we find that female workers belonging to the upper half of the wage distribution earn higher than males. In performing a simple regression, we find that 90-50 wage gap among each sub-group of gender, location and educational attainment is decreasing from 2011 to 2017. Furthermore, the 90-50 wage gap among nonNCR workers is greater than the 90-50 wage gap among NCR workers. A similar result is found between the wage gap among males and females, with a higher disparity for the former. For the standard variance decomposition method, the results show that overall variability in female wages explained by age, education and region is 48 to 55%. However, the overall and upper half variability in wages of males, NCR workers, non-NCR workers, high school graduates and college graduates are better explained by other factors (“within” variables) such as work experience or the worker’s type of job.
format text
author Chow, Neriza C.
Dabbay, Maria Fe Carmen L.
Sauler, Mariel Monica R.
author_facet Chow, Neriza C.
Dabbay, Maria Fe Carmen L.
Sauler, Mariel Monica R.
author_sort Chow, Neriza C.
title A decomposition analysis of wage inequality in the Philippines
title_short A decomposition analysis of wage inequality in the Philippines
title_full A decomposition analysis of wage inequality in the Philippines
title_fullStr A decomposition analysis of wage inequality in the Philippines
title_full_unstemmed A decomposition analysis of wage inequality in the Philippines
title_sort decomposition analysis of wage inequality in the philippines
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/11009
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