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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 />

165

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