2018
DOI: 10.22452/mjes.vol55no2.4
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Effect of Trade Liberalisation on Wage Inequality in Indonesia

Abstract: This study attempts to find out the influence of trade liberalisation on wage inequality in Indonesia. A two-stage estimation approach is used. Using the national labour force survey dataset, the study estimates industry wage premium and industryspecific skill premium in the first stage conditional on individual worker characteristics. In the second stage, the study regresses industry wage premium and industry-specific skill premium on tariff as a measure of trade liberalisation, respectively. It is concluded … Show more

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Cited by 2 publications
(5 citation statements)
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“…Meanwhile, an increase in FDI inflow in those particular tradable sectors will also decrease the wage-premium for unskilled workers. These values are in line with studies of Mehta & Hasan (2012), Noria (2015), and Watekhi et al (2018) stated that the presence of trade liberalization and FDI liberalization reduced the wage differentials between skilledunskilled workers.…”
Section: Trade Liberalization Fdi Liberalization and Industry Wage Pr...supporting
confidence: 91%
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“…Meanwhile, an increase in FDI inflow in those particular tradable sectors will also decrease the wage-premium for unskilled workers. These values are in line with studies of Mehta & Hasan (2012), Noria (2015), and Watekhi et al (2018) stated that the presence of trade liberalization and FDI liberalization reduced the wage differentials between skilledunskilled workers.…”
Section: Trade Liberalization Fdi Liberalization and Industry Wage Pr...supporting
confidence: 91%
“…Concerning the empirical studies, it was decided to put the main focus of the empirical research on qualitative research methods, which are Ordinary Least Square (OLS) and Weighted Least Square (WLS). Specifically, the estimation strategy in this study will be conducted by using a two-stage estimation method by considering the concept and empirical strategy that was presented by Mehta & Hasan (2012) and Watekhi et al (2018). In the first method, to examine industry-wage-premium for educated and uneducated workers coefficients, OLS is used to regress wages of workers on all industries classification, which are involved in a trade or tradable sectors.…”
Section: Methods Analysismentioning
confidence: 99%
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“…So, this study finds out whether the trade reforms have any impact on the FIFWG or not. Second, our analysis uses import tariff reductions as a proxy for trade liberalizati on, which is a more accurate measure in the case of developing countries [27][28][29]. Third, to the best of our knowledge, our analysis is the first to use three methodologies (log wage gap, wage premium (WP) methodology and residual wage gap) to determine whether or not a formal-informal wage difference is responsive to trade liberalization impacts.…”
Section: Introductionmentioning
confidence: 99%