Youth minimum wages and youth employment
© The Author(s). 2018
Received: 12 January 2018
Accepted: 1 February 2018
Published: 29 March 2018
This paper performs a cross-country level analysis on the impact of the level of specific youth minimum wages on the labor market performance of young individuals. We use information on the use and level of youth minimum wages, as compared to the level of adult minimum wages as well as to the median wage (i.e., the Kaitz index). We complement these data with variables on the employment, labor force participation, and unemployment rates of 5-year age interval categories—all derived from the official OECD database. We distinguish between countries without minimum wages, countries with uniform minimum wages for all age groups, and countries with separate youth and adult minimum wages. Our results indicate that the relative employment rates of young individuals below the age of 25—as compared to the older workers—in countries with youth minimum wages are close to those in countries without minimum wages at all. Turning to the smaller sample of countries with minimum wages, increases in the level of (youth) minimum wages exert a substantial negative impact on the employment rate for young individuals.
JEL Classification: J21, J23, J31
One common finding in the empirical literature is that young individuals are relatively strongly affected by the imposition of minimum wages, both by raising their income level and by decreasing their employment—see, e.g., Clemens and Wither (2016), Kalenkoski (2016), Neumark and Wascher (2007), Neumark et al. (2014) and Laporsek (2013) for recent contributions.1 Uniform minimum wages may also reduce on-the-job-training opportunities and discourage younger individuals from entering the labor market. Particularly since the onset of the Great Recession, this delayed entry into the labor market may have reduced individuals’ lifetime stream of earnings (Carcillo et al., 2015).
With this in mind, policymakers may consider the use of specific youth minimum wages instead of uniform minimum wages that are equal for all ages. Youth minimum wage rates are typically set as a fraction of the adult minimum wage, with systems ranging from single minimum wage rates for all young workers below a certain age (as in Greece, Ireland, Portugal) to step-wise functions of an individual’s calendar age (as in the UK, Australia, and The Netherlands) (see Table 6 in the Appendix for details on the implementation of youth minimum wage systems).
Although there is abundant empirical work on the employment effects of general minimum wages on young individuals, studies on the specific effect of youth minimum wages on youth employment are scarce. So far, findings for single countries provide inconclusive evidence; they are largely dependent on the specific context and to identifying assumptions and usually only focus on the short-term impact of changes in youth minimum wages. Typically, this literature exploits reforms or discontinuities of systems in specific countries. For the UK, Dickens et al. (2010, 2014) and Fidrmuc and Tena (2013) use regression discontinuity designs to estimate the impact of a 20% increase of the minimum wage on the 22-year-olds. Dickens et al. find positive employment effects, whereas Fidrmuc and Tena find evidence of negative or no employment effects. For New Zealand, Hyslop and Stillman (2007) perform a difference-in-differences analysis to compare the employment results of young workers who experienced changes in their relative minimum wages (16–17- and 18–19-year-olds) with young adults whose minimum wage rates remained unaffected (20–25-year-olds). Their results indicate insignificant employment effects for both affected groups. Finally, Olssen (2011) studies the impact of a 10% minimum wage increase on workers aged 15–21 in Australia. He finds no effect of the changes in youth rates on short-run youth employment.
This paper is the first to perform a cross-country level analysis that explicitly focuses on the impact of the level of specific youth minimum wages. As such, we add to the analyses of Neumark and Wascher (2004) and Dolton and Bondibene (2012), who exploit cross-country variation in general minimum wages of OECD countries to estimate employment on young and adult individuals. Both these studies find that the presence of youth minimum wages reduces the detrimental impact that general minimum wages may have on employment rates. In the current paper, we contribute to this line of research by investigating how the level of youth minimum wages—as compared to the adult minimum wage or the median wage—affects the employment rate, the labor force participation, and the unemployment rate of younger individuals. Contrasting to the earlier analyses, we thus exploit variation in the use and level of minimum wages across ages within countries.
For our analysis, we follow 30 OECD countries, out of which 21 have implemented minimum wages, between 2000 and 2014. Using information from governmental statistics and OECD publications, we are able to define the use and, if relevant, the level of youth minimum wages compared to uniform minimum wages and to the median wage. More specifically, we construct series of youth rates by recording the level of wage that is eligible at each age. We complement these data with data on the employment, labor force participation, and unemployment level of 5-year age interval categories—all derived from the official OECD database. Our focus is on cross-country differences in the age profiles of employment, labor force participation, and unemployment rates that can be explained by the use of uniform and youth minimum wages. By controlling for interacted country and year fixed effects, we effectively compare the relative labor market position of young individuals with the relative labor market position of young individuals in other countries. In doing so, the key assumption we need to make is that minimum wage settings are not correlated with other labor market institutions that determine labor market outcomes of young individuals. We therefore restrict our sample to young individuals below the age of 35; this setup corresponds to a regression discontinuity design wherein young individuals may face similar youth policies but are either located to the left or the right of the age cutoff-point that determines whether youth or adult minimum wages prevail.
To investigate the effect of minimum wages, we first compare the differences in the relative labor market performance of individuals below the age of 25 between the three country groups. In line with the analyses of Neumark and Wascher (2004) and Dolton and Bondibene (2012), we find the relative employment of young individuals below the age of 25—as compared to older individuals between the age of 25 and 35—in countries with youth minimum wages to be similar to the employment rates of their peers in countries without statutory minimum wages. However, employment rates are substantially lower for young individuals in countries that employ uniform minimum wages.
We next zoom into the sample of the 21 countries that set statutory minimum wages—either uniform or age-specific. Using fixed effects for all possible combinations of countries and years, we compare the relative labor market position of young individuals (vis-à-vis older ones) who are exposed to youth minimum wages with the relative labor market position of their peers that receive adult rates. We specify youth minimum wages as a fraction of both the adult minimum wage and/or the median wage in a particular country. Following this strategy, the use of a specific youth minimum wage rate exerts a positive and statistically significant effect on the employment rate of young individuals for whom it applies. In particular, a 1 percentage point increase in the youth minimum wage as a fraction of the median wage—i.e., the “Kaitz index”—causes the employment rate of young individuals to decrease with 0.72 percentage points. We also find positive labor force participation effects of youth minimum wages, which suggests the mitigation of discouraged-worker effects that prevail with uniform minimum wages.
The remainder of this paper is organized as follows. Section 2 provides a description of the data sources and the construction of our variables. Section 3 explains the empirical strategy, whereas the estimations results and robustness analyses are discussed in Section 4. Finally, Section 5 concludes.
We use data derived from databases and from OECD publications. Data on labor market outcomes, including the employment to population ratio, labor force participation, and unemployment rate, are acquired from the OECD Statistics Database.2 These variables are measured as (unweighted) averages of 5-year age intervals for 30 OECD countries followed between 2000 and 2014.3 We complement these data with information on the incidence and level of adult and youth minimum wages, as derived from OECD Employment Outlook reports of 1998 and 2015, Eurostat and governmental information sources.4
A dummy value that indicates whether an age category is subject to youth minimum wages or not. This fraction is equal to one for the age categories that receive a youth minimum wage and zero across all age categories in countries without youth minimum wages as well as for the rest of the age categories for which the adult minimum wage applies in countries with youth minimum wages.
The level of the youth minimum wage rates as a percentage of the adult minimum wage. This variable is used in our main analysis where we concentrate on the group of countries with national minimum wages; it is equal to 1 for the age categories that are eligible for an adult minimum wage. In countries with uniform minimum wages, all age categories are assigned with “1”.
The level of the (youth) minimum wage rate relative to the median wage—i.e., the Kaitz index. Again, this variable concerns the group of countries with legally binding minimum wages and is used in the main analysis. Where a youth minimum does not exist, this variable is equal to the uniform minimum-to-median wage.
As the labor market data we use are measured at the level of 5-year age intervals, we need to transform the above variables into 5-year age interval values as well. For this purpose, we assume equal relative weights of five consecutive years in an age interval. Thus, for intervals where we observe a change of the youth into the adult minimum wage at a particular age, we compute the weighted average of variable values before and after the minimum age for which the adult minimum applies.6
Classification of countries on minimum wage systems (2000–2014)
Group 1: Countries with statutory minimum wages (Ν1 = 21)
Group 2: Countries without statutory minimum wages (Ν2 = 9)
Classification of group 1 according to youth rates
Group 1A: Countries with minimum wages and youth rates
Group 1B: Countries with uniform minimum wages
3 Model specification
To estimate the effect of youth minimum wages on youth employment, we start with an exploratory investigation on the effect of uniform and youth minimum wages on young individuals’ relative labor market outcomes below the age of 25, as compared to those aged between 25 and 35. More specifically, we compare the relative employment rate, labor force participation rate, and the unemployment rate of individuals below the age of 25 in countries without statutory minimum wages to those with uniform statutory minimum wages and to those with youth-specific minimum wages. The concerning model that describes labor market outcomes is specified in a linear fashion:
where, y ijt is the labor market outcome of interest—i.e., the employment rate, labor force participation rate, or the unemployment rate—for age category i (i = 1,..4) in country j (j = 1,..,J) in year t (t = 1,.,T). The variable UMWD jt represents a dummy on uniform minimum wages, which assigns “1” to countries that have uniform minimum wages in year t and “0” to countries without national minimum wage systems as well as to countries with youth minimum wages in year t. Likewise, YWD jt represents a dummy that is equal to 1 if a country uses youth specific minimum wages in a particular year, and 0 otherwise. Our model also includes fixed effects for all possible combinations of countries and years. As such, we cannot estimate model parameters for the effect of (youth) minimum wages across all age categories.
The main coefficients in model (1) are β1 and β2. These parameters describe the impact of having a uniform minimum wage and a youth minimum wage on the first two age categories that consist of individuals of 15–20 years and 21–25 years of age, respectively. The parameter values can thus be interpreted as the relative labor market performance of young individuals in countries with uniform and youth minimum wages, as compared to the relative labor market performance of their peers in countries without statutory minimum wages. Finally, the error term u ijt is assumed to be identically and independently distributed. We can estimate model (1) with interacted country and year fixed effects, while allowing for clustering effects at the level of countries.
where y ijt is the labor market outcome of interest for age category i in country j in year t. The variable YD ijt represents the “youth minimum dummy,” which assigns “1” to the relevant age categories that receive less than the adult minimum wages in those countries where lower youth rates exist, and “0” otherwise. The variable YMW ijt is the youth rate expressed as a fraction of the adult minimum wage for the age categories for which the youth minimum applies; for those for whom the youth minimum does not apply, the value is normalized to “1”. By including YMW ijt , we can test whether the youth minimum wage effects are proportional to the relative level of youth minimum wage—that is, β2 is the quasi-elasticity of youth minimum wages on the outcome measure of interest. As an alternative to the relative level of youth minimum wages as compared to the adult rate, we also present model outcomes with the youth minimum wage measured as a fraction of the median wage—i.e., the Kaitz index. Similar to Eq. (1), we also assume v ijt to be identically and independently distributed. We estimate the model with country and year fixed effects and allow for standard errors that are clustered across countries.
4 Estimation results
Estimation results of model ; N = 1740
Labor force participation rate
Uniform minimum wage and age below 25
Youth minimum wage and age below 25
Fixed effects (Number of FE: 300)
In line with Dolton and Bondibene (2012), these findings indicate that a uniform minimum wage across all ages may provide an incentive to employers to cut down employment of young individuals. Moreover, the results could be explained by the existence of discouraged-worker effects; youths who expect that finding a job will be difficult because of the existence of a binding minimum wage are more likely to withdraw from the labor market, typically by prolonging their time in education.
Estimation results of model (2) for countries with minimum wages (N = 1200)
Labor force participation rate
Youth minimum wage dummy, for whom it applies
Relative youth minimum wage
(% of the adult wage rate)
Youth minimum wage
(% of the median wage)
Country-year fixed effects (N = 300)
Again, the outcomes of model specifications with only the youth minimum wage dummy reveal that young individuals in countries with youth minimum wages generally exhibit better labor market outcomes than those in countries that employ uniform minimum wages. When including the youth-to-adult minimum wage rate or the youth-to-median minimum wage rates, however, these dummy effects turn insignificant. This suggests that employment and labor force participation effects are proportional to both of these measures. From the coefficient estimate of the youth-to-median rate, we infer that the employment rate of young individuals decreases by 7.2 percentage points if the youth-to-median rate would increase with 10 percentage points. These coefficient effects are considerably bigger than those obtained by Dolton and Bondibene (2012), but comparable to those by Laporsek (2013).
From the estimates of the model specifications that include both youth minimum wage fractions, the picture that emerges is that the Kaitz index does a better job in explaining employment rate effects than the youth-to-adult minimum wage rate. Given that the average youth-to-adult minimum wage rate is 0.81 for whom it applies in our sample, a 10 percentage point increase in the youth-to-median rate corresponds to a 12.3 percentage point increase in the youth-to-adult rate. Based on our findings, the employment rate of young individuals would decrease by 5.6 percentage point due to the raise vis-à-vis the median wage and another 2.0 percentage point due to the raise vis-à-vis the adult minimum.9 Stated differently, the impact of a raise of the youth minimum wage would be 5.6 percentage points if adult minimum wages would be increased proportionally.
This study employs cross-national data from 30 OECD countries and for the time period 2000–2014 in order to explore the effect of introducing lower wages for young individuals on their labor market performance. Essentially, the identification follows from comparing the relative performance of individuals eligible for youth minimum wages with their peers in countries where this policy does not apply. Our results indicate that both the relative employment and labor force participation rates of individuals below the age of 25 are about 10 and 12 percentage points higher, respectively, in countries with youth minimum wages, as compared to countries with uniform minimum wages. Moreover, the effects are found to be proportional to the level of the youth wage, with an impact of an increase of the youth-to-median minimum wage of 1 percentage point that is equal to a decrease in the employment rate of 0.72 percentage point.
In line with earlier research, our results point at employment effects of minimum wages that are relatively large for younger individuals. Still, the effects we find are also considerably larger than those obtained from cross-country analyses that have been conducted by Neumark and Wascher (2004) and Dolton and Bondibene (2012). One explanation for this may be that our analysis is the first to use the exact level of youth minimum wages to explain the employment rates of younger individuals, rather than general minimum wages that are only a crude measure to detect minimum wage effects for young individuals. Accordingly, our estimates are less susceptive to attenuation bias. Related to this argument, it is important to stress once more that our research strategy exploits variation between age groups within countries and years to estimate youth minimum wage effects. By comparing young individuals below and above the age cutoff that gives eligibility to adult minimum wages, we are able to detect displacement effects that would have been left unnoticed if one would exploit variation between countries instead.
That being said, there might be room for improving the estimation youth minimum wage effects in some ways. Even though our data are the first to exploit country-level data on statutory youth minimum wage settings, there still might be variation in non-statutory or local settings that cause measurement error. In line with this, more detailed analyses that incorporate other institutional settings may help in deepening our understanding of minimum wage systems and their effect on youth labor markets. This particularly applies to labor standards, the design of education systems, opportunities for part-time work, union coverage, and employment protection legislation. All these institutions may affect the extent to which individuals and employers respond to minimum wage settings. Finally, for policymakers, it is of key importance to compare the employment effects of youth minimum wages with the income effects due to lower wage earnings for younger employed individuals.
An exception to this is Card and Krueger (1994), who do not find employment effects for young workers. Consecutive research largely challenged their findings—see, e.g., Burkhauser et al. (2000) and Neumark and Wascher (2000).
Following standard definitions, the labor force includes all individuals that are classified either as employed or unemployed. The labor force participation rate is defined as the share of labor supply of the total population between 15 and 65 years of age; unemployment and employment rates as expressed as shares of the labor supply.
As we lack information on (youth) minimum wages for Chile, Israel, Mexico, and Slovenia, these countries are excluded from the sample.
Note that some of these countries—including the USA, Japan, and Canada—have minimum wage settings that vary across localities. We argue that measurement problems stemming from this are probably limited if we relate youth to adult minimum wages, as this yields fractions that are less prone to measurement errors. In countries with uniform minimum wages, measurement errors will even be zero. Irrespective of the exact level of minimum wages, the young-to-adult minimum will then be equal to one in all localities.
For instance, suppose the adult minimum wage applies to individuals of 22 and older. For the interval between 20 up to and including 24, we then have relative weights that are equal to 40 and 60%, respectively.
Note that Germany has adopted a statutory national minimum wage policy since 2015.
The coefficient estimate of the youth-to-adult minimum wage on the employment rate is − 0.16. Thus, the isolated impact of a youth minimum wage raise is 12.3 × − 0.16 = − 2.0 percentage point.
The authors would also like to thank Stefan Hochguertel and the anonymous referees and the editor for the useful remarks to an earlier version of this paper.
Responsible editor: Denis Fougère.
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