National Minimum Wage
National Minimum Wage
National Minimum Wage
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Research on Earnings and Pay<br />
Chapter 2: The Impact of the <strong>National</strong> <strong>Minimum</strong> <strong>Wage</strong><br />
2.57 We have commissioned many research studies over the years that have investigated the pay<br />
setting behaviour of employers. Much of that research has been conducted by IDS using its<br />
database on pay settlements augmented by a series of surveys of low-paying sector<br />
employers. IDS (2011a) summarised this research. It concluded that there had been three<br />
phases of changed firm behaviour as a result of the minimum wage. Prior to the introduction<br />
of the minimum wage, many employers had anticipated its introduction and had already<br />
begun making changes to their pay structures. Many employers reduced the number of pay<br />
rates across geography and occupation. This limited the adjustments that needed to be made<br />
when the NMW was introduced.<br />
2.58 Employers in the low-paying sectors increasingly adopted the minimum wage as the lowest<br />
wage rate and squeezed differentials between starter rates and established rates during the<br />
period of relatively high minimum wage increases between 2001 and 2006. Throughout that<br />
period, employers also removed allowances and premia (such as unsocial hours payments,<br />
overtime, shift premia and bonuses), particularly for new workers, as a way of absorbing<br />
increased wage costs. Non-wage benefits, such as holiday entitlement, pension provision,<br />
perks and staff discounts were also made less generous. These findings generally confirmed<br />
those of earlier studies of employer behaviour, such as Grimshaw and Carroll (2002) and<br />
Cronin and Thewlis (2004). In the years covering the recession and when minimum wage<br />
increases had been more moderate, 2007-2010, IDS (2011a) found evidence of some<br />
restoration of differentials and a widening in the gap between the lowest pay rates and the<br />
minimum wage in some, mainly large retailing, employers.<br />
2.59 Econometric analysis has also been conducted to assess the impact of the minimum wage<br />
on earnings. It has chiefly looked at whether the minimum wage affects the wages of those<br />
paid above the minimum wage. These effects are known in the literature as spill-over effects.<br />
In the most comprehensive econometric study of spill-over effects conducted so far, covering<br />
the period up to 2007, Stewart (2009) explored three different methods to identify whether<br />
the minimum wage affected wages higher up the earnings distribution. His analysis of<br />
individual wage changes found little evidence of any effects. However, he found some<br />
evidence of more significant spill-overs when estimating wage distribution functions or using<br />
wage quantile regression analysis. He noted, however, that his findings were sensitive to the<br />
assumptions about how wages changed in the absence of a minimum wage (or a minimum<br />
wage increase). He concluded that spill-over effects were generally small and limited,<br />
typically reaching no further up the earnings distribution than the 5th percentile.<br />
2.60 Using both individual and spatial data, Dickens, Riley and Wilkinson (2012) investigated the<br />
impact of the minimum wage on the earnings distribution. In their analysis of individuals<br />
using data from 1994-2010, they found that the minimum wage had led to significantly<br />
higher wage growth for low-paid workers and that this effect was particularly large upon<br />
introduction. They also found that wage differentials between minimum wage workers and<br />
those paid just above the NMW were restored somewhat during the recent recession years<br />
(2008-2010). Their spatial analysis found a large effect of the minimum wage on pay<br />
inequality across areas, as the minimum wage compressed wages at the bottom of the<br />
distribution, particularly in the period before the recession. Those areas with the lowest<br />
45