National Minimum Wage
National Minimum Wage
National Minimum Wage
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Table A2.1: Low Pay Commission Research Projects for the 2012 Report<br />
Project title and<br />
researchers<br />
The Impact of the<br />
<strong>National</strong> <strong>Minimum</strong><br />
<strong>Wage</strong> on the <strong>Wage</strong><br />
Distribution<br />
Tim Butcher (Low Pay<br />
Commission), Richard<br />
Dickens (University<br />
of Sussex) and Alan<br />
Manning (London<br />
School of Economics<br />
(LSE))<br />
Re-examining<br />
the Impact of the<br />
<strong>National</strong> <strong>Minimum</strong><br />
<strong>Wage</strong> on Earnings,<br />
Employment<br />
and Hours: the<br />
Importance of<br />
Recession and Firm<br />
Size<br />
Richard Dickens<br />
(University of Sussex),<br />
Rebecca Riley and<br />
David Wilkinson<br />
(<strong>National</strong> Institute of<br />
Economic and Social<br />
Research (NIESR))<br />
Appendix 2: Low Pay Commission Research<br />
Aims and methodology Key findings and results<br />
After almost two decades of rising wage inequality,<br />
the wages for the bottom quintile of workers have<br />
been catching up with the median since the late 1990s.<br />
While it is tempting to assign this to the minimum<br />
wage, evidence suggests that only about 5 per cent<br />
of employees are directly affected by the <strong>National</strong><br />
<strong>Minimum</strong> <strong>Wage</strong> (NMW). The researchers hypothesised<br />
that the falls in hourly wage inequality in the bottom<br />
half of the distribution were a combination of the direct<br />
impact of the NMW, plus a spill-over effect whereby<br />
wages further up the distribution were raised to restore<br />
some of the pay differential.<br />
Building on previous research (Butcher, Dickens and<br />
Manning, 2009) they extended this analysis further. They<br />
constructed area-level panel data using both the Annual<br />
Survey of Hours and Earnings (ASHE) and Labour Force<br />
Survey (LFS) in order to examine spill-over effects across<br />
areas that were differentially affected by the minimum<br />
wage.<br />
In addition, they utilised New Earnings Survey (NES)<br />
data from the 1990s, a period before the introduction<br />
of the minimum wage, in order to carry out robustness<br />
checks.<br />
The aims of the report were to re-examine the earnings,<br />
employment and hours impacts of the NMW and shed<br />
light on two issues:<br />
●● What has been the impact of the NMW on the<br />
earnings of low-paid workers and on the demand<br />
for low-paid workers during recession and was this<br />
different from its impact during periods of strong<br />
economic growth?<br />
●● Has the NMW affected differently low-paid jobs in<br />
small, medium and large size firms?<br />
They used standard difference-in-difference (DID)<br />
estimators to examine the labour market impacts of<br />
the NMW.<br />
They used LFS and NES Microdata to analyse the impact<br />
of the NMW on employment retention, changes in<br />
hours worked, and wage growth, distinguishing NMW<br />
‘treatment’ effects by firm size and by time.<br />
To study whether the impact of the NMW depends on<br />
the general state of the economy they examined NMW<br />
labour market impacts over time using both individual<br />
and spatial (local area) data.<br />
They also conducted sensitivity analysis that included<br />
varying the control groups, differencing groups and time<br />
periods, outcome measures, and data sources.<br />
They examined the NMW impacts for adult workers<br />
by gender and by full-time/part-time status. They were<br />
unable to examine young workers due to sample size<br />
restrictions.<br />
Key findings included the following:<br />
●● The NMW was introduced 12 years ago and, at<br />
about the same time, wage inequality at the bottom<br />
of the earnings distribution started to fall, having<br />
risen over the preceding 20 years. The falls relative<br />
to the median went up to the 25th percentile.<br />
●● The direct effect of the minimum wage had not<br />
been enough to explain the observed fall in wage<br />
inequality. However, allowing for modest spill-over<br />
effects, their model fitted the decline in inequality<br />
at the bottom of the labour market reasonably well.<br />
●● They found that the direct effect was largest at the<br />
bottom percentile, raising wages by nearly 30 per<br />
cent. This effect rapidly declined and only reached<br />
up to the 6th percentile. The spill-over effects were<br />
largest at the 6th percentile, raising wages by about<br />
7 per cent more than in the absence of the minimum<br />
wage, and stretched further up the pay distribution.<br />
●● For women, the spill-over effect was greater and<br />
reached further up the distribution.<br />
●● They also found that areas most affected by the<br />
minimum wage, the lowest-paying areas, had the<br />
largest spill-overs with effects evident up to the 25th percentile.<br />
They concluded that spill-over effects may be larger<br />
than previously thought and were much greater than any<br />
purely direct effect.<br />
They found a positive effect of the NMW on wage<br />
growth for all groups considered, which was particularly<br />
large upon introduction. They also found some evidence<br />
that differentials had to some extent been restored<br />
during the recession.<br />
Using NES they found a small negative effect of the<br />
NMW on annual employment retention for low-paid<br />
female part-time workers, associated mainly with<br />
introduction and more recent years. This effect was<br />
not evident using the LFS. They generally found little<br />
evidence to suggest that the NMW had changed<br />
employment retention for full-time workers.<br />
Some evidence suggested that the NMW may have<br />
been associated with a small reduction in weekly hours<br />
for female full-time workers during recession.<br />
The adverse effects of the NMW on employment<br />
retention for female part-time workers tended to be<br />
more significant on average among workers in large<br />
firms. However, the adverse effect on hours worked did<br />
not appear related to firm size.<br />
Their spatial analysis of the impact of the NMW<br />
suggested that it had raised the wages of those at the<br />
bottom of the distribution relative to those higher up.<br />
This had resulted in a fall in inequality in the bottom half<br />
of the wage distribution. In terms of employment and<br />
unemployment outcomes, they found no strong evidence<br />
that the NMW had a harmful effect on individuals’<br />
labour market positions.<br />
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