2022
DOI: 10.1108/ijm-02-2021-0079
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The impact of age-specific minimum wages on youth employment and education: a regression discontinuity analysis

Abstract: PurposeUsing a regression discontinuity design in tandem with a difference-in-discontinuities analysis, the study finds that increasing the minimum wage reduces the employment probability of young males by 2.5–3.1 percentage points.Design/methodology/approachThe authors exploit an age-specific minimum wage rule – which sets a lower minimum wage for workers of age 15 than the adult minimum wage paid to workers of age 16 and above – and its abolition to estimate the causal effect of a minimum wage increase on yo… Show more

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Cited by 10 publications
(6 citation statements)
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“…Estimates based on a shorter and more recent time span show that cyclical sensitivities have increased, suggesting that the capacity of the Turkish economy to create jobs has strengthened in recent years. The results are broadly in line with more elaborate models that allow for an asymmetric relationship between GDP growth and unemployment and employment (Coşar and Yavuz, 2021 [13]).…”
Section: Resultssupporting
confidence: 85%
“…Estimates based on a shorter and more recent time span show that cyclical sensitivities have increased, suggesting that the capacity of the Turkish economy to create jobs has strengthened in recent years. The results are broadly in line with more elaborate models that allow for an asymmetric relationship between GDP growth and unemployment and employment (Coşar and Yavuz, 2021 [13]).…”
Section: Resultssupporting
confidence: 85%
“…Following the literature (Clemens & Strain, 2021; Dayioglu‐Tayfur et al, 2022; Dustmann et al, 2021), to confirm the power of the above analysis, the minimum detectable effect (MDE) size for the performance outcome for the quantitative and non‐quantitative modules is calculated using the formula:italicMDEgoodbreak=)(tαgoodbreak−tβ*)(σitalicpop2nt+)(σitalicpop2ncwhere MDE is the minimum detectable effect which reflects the smallest possible effect that a statistical test could detect for a given Type‐I error, α and Type‐II error, β ; ta,tβ denote the t‐value which corresponds to the desired significance level, α and desired power of the design (1‐ β ); σpop2 shows the variance of the outcome variable; nt,nc refer to the sample size of the treatment and control groups respectively. The MDE, measured as the difference in outcomes between a control and an experimental group or as the proportion for the experimental group, is the minimum effect size that can be distinguished from a null effect.…”
Section: Methodsmentioning
confidence: 99%
“…Following the literature (Clemens & Strain, 2021;Dayioglu-Tayfur et al, 2022;Dustmann et al, 2021), to confirm the power of the above analysis, the minimum detectable effect (MDE) size for the performance outcome for the quantitative and non-quantitative modules is calculated using the formula:…”
Section: Minimum Detectable Effectmentioning
confidence: 99%
“…the government abolished the youth rate, meaning 15-year-old workers were eligible for the full adult minimum wage rate. Using data from the Survey of Income and Living Conditions from 2012 to 2017, Dayioglu et al (2022) investigate the impact of the abolition of the sub-minimum youth rate wage on youth employment. They find that the increase in minimum wage reduced the employment probability of 15-year-old boys by 21-26 percentage points, as the employers decided to replace this group of workers with more experienced/older workers at the same wage cost.…”
Section: Literature On the Impacts Of Sub-minimum Youth Ratesmentioning
confidence: 99%