{"id":1041,"date":"2018-05-11T21:18:29","date_gmt":"2018-05-11T20:18:29","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=1041"},"modified":"2019-04-24T16:11:19","modified_gmt":"2019-04-24T15:11:19","slug":"7-ways-to-misuse-gender-pay-gap-data","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/7-ways-to-misuse-gender-pay-gap-data\/","title":{"rendered":"Pay Gaps #1 &#8211; 7 ways to misuse gender pay gap data"},"content":{"rendered":"<p>April 2018 was the deadline for submitting gender pay gap results and we now have the first detailed picture of how pay differs between men and women in the UK.\u00a0 <a href=\"https:\/\/gender-pay-gap.service.gov.uk\/\" target=\"_blank\" rel=\"noopener noreferrer\">A nifty government website can be used to look up pay gap details for any company employing more than 250 employees<\/a> and you can also download the results for further analysis.\u00a0 So what will happen next?\u00a0 Will the data be used properly to inform debate about how men and women are paid or will it be misused for personal and political gain?<\/p>\n<p>I believe this data can be of benefit to the debate around gender equality but my fear is that to begin with, it will be misused, misinterpreted and reinforce the saying &#8220;lies, damned lies and statistics&#8221;.\u00a0 So if you want to misuse gender pay gap data, who better to ask that a professional statistician like me who will show you how you can do this by commenting on 7 plausible statements.<\/p>\n<p><!--more--><\/p>\n<ol>\n<li><strong><span style=\"color: #339966\">&#8220;Women are paid 10% less than men in my company!\u00a0 I am a woman so give me a 10% pay rise now!&#8221;<\/span><\/strong><\/li>\n<li><strong><span style=\"color: #339966\">&#8220;Our gender pay gap was 10% last year but this year it is zero.\u00a0 We promised to eliminate the gap and we have succeeded!&#8221;<\/span><\/strong><\/li>\n<li><strong><span style=\"color: #339966\">&#8220;My company doesn&#8217;t discriminate against women, women are paid 10% more than men.&#8221;<\/span><\/strong><\/li>\n<li><strong><span style=\"color: #339966\">&#8220;Company A has no pay gap whilst company B pays men 25% more!\u00a0 B is a disgrace, I will never work for them!&#8221;<\/span><\/strong><\/li>\n<li><strong><span style=\"color: #339966\">&#8220;Our gender pay gap is 10% but this is due to the jobs that women prefer in our company being lower paid than men.&#8221;<\/span><\/strong><\/li>\n<li><strong><span style=\"color: #339966\">&#8220;If publishing gender pay gap data is a success, we should also require companies to publish their racial pay gap, sexuality pay gap and disability pay gap.&#8221;<\/span><\/strong><\/li>\n<li><strong><span style=\"color: #339966\">&#8220;Gender pay gap data is seriously misleading and a pointless bureaucratic box ticking exercise.\u00a0 Let&#8217;s get rid of it!&#8221;<\/span><\/strong><\/li>\n<\/ol>\n<p>This article is my first in a series about the statistics of diversity &amp; inclusion.\u00a0 I have always been interested in this subject for many reasons.\u00a0 Indeed the only bit of student activism I did at university was to help organise an anti-racism week at University of Bath in 1990 and I still have an article that I wrote back then about racism.\u00a0 Even then, I realised that the term &#8220;equality and diversity&#8221; was an oxymoron since to a statistician equality means strictly equal whereas diversity means variation which are two quite different statistical concepts.\u00a0 Most people though struggle with the statistical meaning of variation and as a result, analysis of diversity data is usually riddled with bad statistics and I am very keen to see this change hence my series of articles.\u00a0 So whilst I will now show you the many ways gender pay gap data can be misused, I am still an advocate for its publication with some modifications but more than anything I want this article to be a call to arms to use gender pay gap data properly!<\/p>\n<p><em>All charts shown in this article are produced by my spreadsheet <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/Gender-Pay-Gap-Data-Chart-Tool-v1.0.xlsx\">Gender Pay Gap Data &amp; Chart Tool v1.0<\/a> which you can download for your own use.<\/em><\/p>\n<h4><\/h4>\n<h4><strong><span style=\"color: #339966\">1<span style=\"color: #339966\">: <\/span>&#8220;Women are paid 10% less than men in my company!\u00a0 I am a woman so give me a 10% pay rise now!&#8221;<\/span><\/strong><\/h4>\n<p>Prior to the publication of the data last month, I am sure if you had asked a random sample of people to &#8220;<em>define the gender pay gap<\/em>&#8220;, a majority would have said it measures the difference in pay between men and women for doing the <strong>same<\/strong> job.\u00a0 Recent stories about <a href=\"http:\/\/www.bbc.co.uk\/news\/uk-42827333\" target=\"_blank\" rel=\"noopener noreferrer\">female presenters at the BBC being paid less than their male counterparts<\/a> would reinforce this impression but this is not the definition of the gender pay gap.\u00a0 The difference in salaries between genders for doing the same job is known as <strong>Equal Pay<\/strong> whereas <strong>Gender Pay Gap<\/strong> refers to<img loading=\"lazy\" decoding=\"async\" class=\"alignright size-medium wp-image-1094\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-6-300x268.png\" alt=\"\" width=\"300\" height=\"268\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-6-300x268.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-6-392x350.png 392w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-6.png 449w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/> the difference in the hourly earnings (including bonuses) between the median man and the median woman in an organisation.\u00a0 Whilst recent publicity may have increased awareness of the difference between the two terms, I am sure confusion will exist for quite a while so let&#8217;s look at the BBC&#8217;s figures to understand what gender pay gap means.\u00a0 Amazingly, the BBC are more or the less the national median when we look at the gender pay gap and the gender split among its staff.<\/p>\n<p><a href=\"https:\/\/gender-pay-gap.service.gov.uk\/\" target=\"_blank\" rel=\"noopener noreferrer\">The government website for gender pay gap data<\/a> allows you to download all the data which I have done.\u00a0 According to the BBC, for every \u00a31 the median man earns, the median woman earns 91p, a difference of 9p or 9%.\u00a0 But this does not mean every woman receives 9p less than a man doing the same job.\u00a0 It only refers to the median man and median woman but what does the word median mean?<\/p>\n<p>Let&#8217;s look at the example in the graphic below.\u00a0 This shows a company that employs 7 men and 5 women and they are paid per hour (including bonuses) as <img loading=\"lazy\" decoding=\"async\" class=\" wp-image-1073 alignleft\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-0-300x210.png\" alt=\"\" width=\"251\" height=\"176\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-0-300x210.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-0-768x537.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-0-450x315.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-0.png 789w\" sizes=\"auto, (max-width: 251px) 100vw, 251px\" \/>shown.\u00a0 To find the median woman, the 5 women first have to form a line in order of their hourly earnings.\u00a0 Then the median woman is the highlighted woman standing in the middle of the line who is earning \u00a315 per hour.\u00a0 To find the median man, the 7 men also form a line in order of their hourly earnings and the highlighted man standing in the middle of the line becomes the median man.\u00a0 Since he is earning \u00a320 per hour, this means the gender pay gap is \u00a35 (=\u00a320-\u00a315) which is 25% of the median man&#8217;s hourly earnings and this the gender pay gap figure that this fictitious company would have to report to the government every April.<\/p>\n<p>So for the BBC, the median woman is paid 9% less than the median man.\u00a0 Given that the BBC employ over thousands of people, does it make sense to summarise something like this based on 2 employees only?\u00a0 You should be able to work out that provided there are equal numbers of employees of the same gender above and below the median man\/woman, it does not matter how the other employees are paid.\u00a0 If every male employee above the median man was paid \u00a31million per year and every woman above the median woman was paid \u00a3100,000 per year, provided the median man and median woman are paid the same (let&#8217;s say \u00a350k pa), the gender pay gap will still be recorded as zero.\u00a0 Once you think of the gender pay gap like this, then it doesn&#8217;t take much thought to think of unscrupulous ways to make yourself look better than you are.<\/p>\n<p>So can a woman demand a 10% pay rise just because her company&#8217;s pay gap is 10%?\u00a0 Obviously, now that you are clear on what a median gender pay gap of 10% means, the answer is no.<\/p>\n<p><em>PS: I hope you spotted the mathematical error in the statement!\u00a0 If a woman is being paid 10% less than she is worth, then she should demand an 11% pay rise.\u00a0<\/em><\/p>\n<p>&nbsp;<\/p>\n<h4><span style=\"color: #339966\"><strong>2: &#8220;Our gender pay gap was 10% last year but this year it is zero.\u00a0 We promised to eliminate the gap and we have succeeded!&#8221;<\/strong><\/span><\/h4>\n<p>Suppose the manager of our fictitious company of 12 employees above decides he are concerned about being seen to pay men more <img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-1080\" style=\"margin: 8px 0px 8px 16px;height: 167px;text-align: left;color: #333333;text-indent: 0px;letter-spacing: normal;font-size: 16px;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;max-width: 920.57px;float: right;background-color: transparent\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-8-300x209.png\" alt=\"\" width=\"239\" height=\"209\" \/>than woman and wants to eliminate it by the time he has to report 2018&#8217;s figures, then the simplest way to do this is to sack or outsouce the two lowest paid women.\u00a0 All our unscrupulous manager needs to do is identify the woman whose hourly earnings is the same as the median man and then, under the guise of a voluntary redundancy or outsourcing programme, keep sacking\/outsourcing the lowest paid woman until the median woman is the one you want.<\/p>\n<p>I am sure that most employers would never contemplate such behaviour but there is no doubt that some will not be so scrupulous especially when it comes to outsourcing.\u00a0 Is this what we want the outcome of gender pay gap reporting to be?\u00a0 Such misuse of statistics is known as <strong>Gaming<\/strong> and almost always occurs when statistics become targets and performance measures.\u00a0 I have to confess I am seriously worried that this could be an outcome of mandatory gender pay gap reporting and it will be hard to detect without requiring companies to publish more data which will incur an additional administrative burden.<\/p>\n<p>The other way to be unscrupulous is to publicise your mean gender pay gap this year and next year publicise your median pay gap (or vice versa).\u00a0 Take Manchester United football club.\u00a0 Their <img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1076 alignleft\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-2-1-300x268.png\" alt=\"\" width=\"300\" height=\"268\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-2-1-300x268.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-2-1-392x350.png 392w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-2-1.png 449w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>median gender pay gap is 7% in favour of women which sounds like great marketing material for them but all companies are also required to publish their mean gender pay gap and for Man Utd, this is 38% in favour of men.\u00a0 The mean gender pay gap is calculated by working out the average hourly wage (including bonuses) for men and women separately and then expressing the difference as a % of the mean male earnings.\u00a0 So although the chart does not show the mean gender pay gap (for a reason I will elaborate on below), if it did, it would say &#8220;For every \u00a31 a man earns, a woman earns 62p.&#8221;<\/p>\n<p>I think it is a mistake for the government to require the mean gender pay gap to be published and this requirement should be abolished for two reasons, one statistical and one non-statistical.\u00a0 The non-statistical reason is that most people will not realise the difference between the two measures (mean and median) and may think they are the same thing.\u00a0 So again, if we assume that an unscrupulous PR director works at Man Utd, what he (unlikely to be a she!) should do this year is widely publicise the mean gender pay gap of 37% this year and at the same time, proclaim all the plans they have to reduce this gap and then next year after having done bugger all, publicise instead the median gender pay gap of 7% in favour of women and trumpet their &#8220;achievement&#8221; in eliminating a massive pay gap.\u00a0 Again, I am sure this will happen unless the government abolishes the mean gender pay gap and leaves organisations with only their median gender pay gap to play with.\u00a0 By the way, another scenario would be an unscrupulous Liverpool director publicly berating Man Utd by comparing Man Utd&#8217;s mean gender pay gap of 38% with Liverpool&#8217;s median gender pay gap of 0.1%, conveniently ignoring the fact that Liverpool&#8217;s mean gender pay gap is 78%!<\/p>\n<p>The second statistical reason for abolishing the requirement to publish mean gender pay gaps is that it only takes one multi millionaire to heavily distort the mean hourly wage.\u00a0 I am actually surprised that Man Utd&#8217;s mean gender pay gap is so small given that they have several multi-millionaire players on their payroll.\u00a0 For most premier league clubs, I would be expecting their mean gender pay gap to be closer to Liverpool&#8217;s 78%.\u00a0 Imagine a premier league team with 20 players earning an average of \u00a32m each followed by 200 men being paid \u00a320k each and 200 women being paid \u00a320k each as well.\u00a0 Then the average pay for the 200 women is \u00a320k and the average pay for the 200 men is \u00a3220k a massive mean gender pay gap or \u00a3200k or 91% of the mean male pay.\u00a0 The median gender pay gap though will be zero since the salary for the median man and median woman will both be \u00a320k.\u00a0 Statisticians have long known about how easy it is to distort the mean value and whilst the median can also be distorted, it takes much more work than for the mean which is why I am OK with the median gender pay gap being reported provided it is interpreted correctly.<\/p>\n<h3><\/h3>\n<h4><strong><span style=\"color: #339966\">3: &#8220;My company doesn&#8217;t discriminate against women, women are paid 10% more than men.&#8221;<\/span><\/strong><\/h4>\n<p>It is illegal for an organisation to pay men and women differently for doing the same job which is known as the <strong>Equal Pay Gap<\/strong>.\u00a0 Differences are in fact allowed provided they solely arise as a result of job performance and\/or length of service but on average there should be no difference.\u00a0 So an organisation making such a claim is in fact breaking the law.\u00a0 Of course, as I have now explained, what is being reported is the gender pay gap based on the median man and median woman, not the equal pay gap.<img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-1077\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-3-1-149x300.png\" alt=\"\" width=\"176\" height=\"354\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-3-1-149x300.png 149w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-3-1-174x350.png 174w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-3-1.png 476w\" sizes=\"auto, (max-width: 176px) 100vw, 176px\" \/><\/p>\n<p>Unfortunately, it is not difficult for an organisation to break the law on equal pay in favour of men and still have a gender pay gap favouring women.\u00a0 Suppose an organisation has 9 employees doing 3 types of jobs Manager, Engineer and Secretary.\u00a0 Their salaries are shown in the table.\u00a0 On so many measures, especially if this was an unscrupulous STEM company, they could shout out how wonderful they are to women as follows:<\/p>\n<ul>\n<li>The majority of staff are women (5 out of 9)<\/li>\n<li>Women make up 2\/3 of manager roles and 2\/3 of engineer roles.<\/li>\n<li>Men make up 2\/3 of secretarial roles.<\/li>\n<li>T<span style=\"float: none;background-color: transparent;color: #333333;font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif;font-size: 16px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;line-height: 24px;text-align: left;text-decoration: none;text-indent: 0px\">he gender pay gap is -25%.\u00a0<\/span> The median men and woman are highlighted in colour.\u00a0 Note that for men, since we have 4 in total, there will be two men in the middle of the lineup based on salary.\u00a0 The median is then the average of the two median men.<\/li>\n<\/ul>\n<p>Note when women are paid more than men, the gender pay gap is officially published as a negative number which I don&#8217;t like.\u00a0 I would like to see gaps favouring women as positive numbers and gaps favouring men as negative numbers.<\/p>\n<p>So if you are a woman, you would naturally want to work for this company, wouldn&#8217;t you?\u00a0 By now, you should have spotted that this company may be breaking the law by paying every one of their male employees \u00a32 to \u00a35 more per hour than their female employees for doing the same job.\u00a0 Yet none of that would be apparent from the published statistics.\u00a0 Such apparent contradictions between the high level summary statistic and the low level details are well known to statisticians, often referred to as <a href=\"https:\/\/en.wikipedia.org\/wiki\/Simpson%27s_paradox\" target=\"_blank\" rel=\"noopener noreferrer\">Simpson&#8217;s Paradox<\/a>.\u00a0 If there is little awareness of Simpson Paradox-like results then we will see injustices occurring with companies like this example getting away with it or worse, the reverse situation where a company is obeying the law on equal pay but is then punished for having a gender pay gap.<\/p>\n<p>Since it is impractical and illegal on data protection grounds to require everybody&#8217;s salary to be published, how can such issues be detected?\u00a0 One way is to make use of the income quartile data that companies <img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1078 alignleft\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-4-1-300x268.png\" alt=\"\" width=\"300\" height=\"268\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-4-1-300x268.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-4-1-392x350.png 392w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-4-1.png 449w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>have to publish and I will illustrate with a charity that I have been involved with for over 20 years and was a trustee of between 2000 and 2008.\u00a0 SENSE is the world&#8217;s largest charity for deafblind people and their gender pay gap is only 2% but as you can see, the chart format I am using also shows the gender split for 4 <strong>Income Quartiles<\/strong>.\u00a0 What are income quartiles?<\/p>\n<p>I have already defined the median man and median woman (recall the graphic in statement 1).\u00a0 This time, instead of having separate lines for men and women, there is just a single line containing both men and women sorted by their hourly wage.\u00a0 The employee in the middle of the line becomes the <strong>median employee<\/strong>.\u00a0 Next, you concentrate on just the employees above the median employee and find the median employee in that group.\u00a0 This employee becomes the <strong>upper quartile employee<\/strong>.\u00a0 The exercise is repeated for all employees below the median employee and the median employee of that group becomes the <strong>lower quartile employee<\/strong>.<\/p>\n<p>You now have 3 specific employees, the lower quartile employee, the median employee and the upper quartile employee based on their hourly wage.\u00a0 You can now use these 3 employees to create 4 income quartiles as follows:<\/p>\n<ol>\n<li>All employees whose hourly wage lies below the lower quartile employee go into the <strong>Lower Income Quartile<\/strong> of the chart.<\/li>\n<li>All employees whose hourly wage lies between the lower quartile employee and the median employee go into the <strong>Lower Middle Income Quartile<\/strong> of the chart.<\/li>\n<li>All employees whose hourly wage lies between the median employee and the upper quartile employee go into the <strong>Upper Middle Income Quartile<\/strong> of the chart.<\/li>\n<li>All employees whose hourly wage lies above the upper quartile employee go into the <strong>Upper Income Quartile<\/strong> of the chart.<\/li>\n<\/ol>\n<p>Once you have allocated all employees to an income quartile, you are then required to publish the gender split within each income quartile.\u00a0 In the case of SENSE, a social care charity, the gender split is 4 to 1 female to male in the two lower income quartiles and 3 to 1 in the two upper income quartiles.\u00a0 Because each quartile should have the same number of employees (by the laws of maths), this mean you can work out the overall gender split for the organisation by taking the average gender split across the 4 income quartiles which is what is shown at the top of the chart.<\/p>\n<p>Since companies have to process their data in any case to get these numbers, I do not consider it much extra work (easy to do in a spreadsheet) to work out the median gender pay gap for each income quartile.\u00a0 In other words, for each income quartile, find the median man and median woman and calculate the gap in hourly wage.\u00a0 Such an approach might pick up the kind of issues I showed in my law-breaking company above.\u00a0 Income quartiles will be correlated to some degree with the seniority of job roles and thus if men are being paid more than women for doing the same job, then we should see that reflected to some extent in the gender pay gap for each income quartile even if the overall pay gap is in favour of women.<\/p>\n<p>Indeed,<a href=\"https:\/\/gender-pay-gap.service.gov.uk\/viewing\/employer-details?e=Jnq_3Hb7kHeAP3eAe_vRqQ%21%21\" target=\"_blank\" rel=\"noopener noreferrer\"> the First group of companies may be an example of such contradictions<\/a>.\u00a0 This is a large company consisting of many subsidiaries and in their own report, they show that their overall pay gap favours women but nearly all of their 20 or so subsidiaries have pay gaps favouring men.\u00a0 This goes to show how things can change when you break an organisation down into its parts and is a warning that gender pay gaps must be treated with caution at all times whether positive or negative.<\/p>\n<p>&nbsp;<\/p>\n<h4><strong><span style=\"color: #339966\">4<\/span><span style=\"color: #339966\"><strong>: &#8220;Co<\/strong>mpany A has no pay gap whilst company B pays men 25% more!\u00a0 B is a disgrace, I will never work for them!&#8221;<\/span><\/strong><\/h4>\n<p>Suppose you are a woman applying for the same kind of job at both companies A &amp; B.\u00a0 If company A offers you salary of \u00a325k and company B offers you a salary of \u00a330k, which offer will you accept?\u00a0 Suppose I now tell you that only 10% of employees at A are women whereas 60% of employees at B are women.\u00a0 Are you still going to stick to your principles?\u00a0 These scenarios are entirely possible even with the gender pay gaps shown.<\/p>\n<p>This scenario highlights yet another problem with gender pay gap data.\u00a0 Why are companies being forced to do this?\u00a0 Is it to do with gender equality in terms of pay or numbers or both?\u00a0 I have already established that gender pay gap data tells you nothing about equal pay so what is it for?\u00a0 Is it about ensuring that all organisations are 50:50 male:female across all levels?\u00a0 If that is our goal, then the gender pay gap is again pointless because it says nothing about gender splits.\u00a0 A company with 10% women can receive high praise for no gender gap and another company with 50% women can be criticised for a 10% pay gap.\u00a0 If 50:50 is our goal, then companies should required to publish their <strong>Payroll Gap<\/strong> instead.\u00a0 The payroll gap would be calculated by multiplying the median woman&#8217;s hourly wage by the number of hours worked by women in a year to get the female payroll and then repeating this for male employees to get the male payroll.\u00a0 The gap between the male and female payroll would be the Gender Payroll Gap.<\/p>\n<p>There is another fundamental problem with gender pay gap figures which arises when one tries to compare organisations.\u00a0 The fact of the matter is that unless we are going to mandate 50:50 recruitment by law (by say requiring companies by alternate between men and women for each job they recruit for) and to pay fixed salaries, there will always be natural variation in the number of men and women recruited and their wages based on who is promoted or not due to the laws of chance.\u00a0 I can demonstrate this by looking at the 4 subsidiaries of Mars UK Ltd who I worked for between 1997 &amp; 2006.\u00a0 At first sight, Mars appears to have some issues with gender pay gaps but <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-and-life-on-mars\/\" target=\"_blank\" rel=\"noopener noreferrer\">I demonstrate using computer simulation that in fact the variation in the Martian median gender pay gaps can definitely arise by chance to this extent<\/a> even if Mars is a perfect non-discriminating organisation.\u00a0 I know from my own experience that Mars is in fact a company that always paid attention to its gender gaps and has actively sought to deal with these.\u00a0 Yet it still has pay gaps and my point is that these are consistent with the laws of chance.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-1085 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-2-300x268.png\" alt=\"\" width=\"709\" height=\"633\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-2-300x268.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-2-768x686.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-2-1024x915.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-2-392x350.png 392w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-2.png 1158w\" sizes=\"auto, (max-width: 709px) 100vw, 709px\" \/><\/p>\n<p>My simulation model shows that for small companies of 250 to 500 employees (such as Mars Food and Mars Drinks), gender pay gaps of up to 30% can arise completely by chance even when a company is totally non-discriminatory.\u00a0 For large companies of 1,000 employees or more (such as Mars Chocolate and Mars Petcare), gender pay gaps of 5% are very feasible and even pay gaps of up to 10% are still possible by chance.\u00a0 If such gaps can occur by chance this makes it very difficult for organisations with small gaps to be accused of discrimination solely on such data.\u00a0 Indeed, if companies are hounded and forced to close such gaps without a more detailed examination of what is going on, this will be a violation of the laws of chance and will result in statistical injustices.\u00a0 I have acted as an expert witness in discrimination cases based on statistical data and I will be happy to testify on the statistical probabilities involved in gender pay gap data.\u00a0 Click here for <a href=\"https:\/\/marriott-stats.com\/contact-us\/\" target=\"_blank\" rel=\"noopener noreferrer\">my contact details<\/a> if you need such expert testimony.<\/p>\n<p>&nbsp;<\/p>\n<h4><strong><span style=\"color: #339966\">5: &#8220;Our gender pay gap is 10% but this is due to the jobs that women prefer in our company being lower paid than men rather than women being paid less than men.&#8221;<\/span><\/strong><b><\/b><i><\/i><u><\/u><\/h4>\n<p>I queried the point of gender pay gap data in statement 4 and posited whether the gender payroll gap was a better choice.\u00a0 Saying that, I think a reason why gender pay gap data is being required is to shine light on the issue raised in statement 5.\u00a0 Are gender preferences in terms of careers resulting in women ending up in lower paid roles?\u00a0 Are these gender preferences arising because each gender genuinely wants to do those jobs or because of the way they are presented and marketed to each gender?\u00a0 Are the wages being paid for different types of jobs the result of gender differences in ability to assert one&#8217;s true worth or the result of how different roles are valued by each gender?\u00a0 By highlighting the organisational gender pay gap and especially the gender split by income quartile, it forces organisations to question whether their gender pay gap is the result of hidden barriers and assumptions.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-medium wp-image-1079\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-5-1-300x268.png\" alt=\"\" width=\"300\" height=\"268\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-5-1-300x268.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-5-1-392x350.png 392w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/gender-pay-gap-5-1.png 449w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>Ryanair has the dubious distinction of having one of the largest median gender pay gaps of 72%.\u00a0 <a href=\"https:\/\/investor.ryanair.com\/wp-content\/uploads\/2018\/04\/ryanair-gender-pay-gap.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Ryanair have examined their data and the reason is quite easy to identify<\/a>.\u00a0 A very high proportion of their pilots are male and a high proportion of their cabin crew are female.\u00a0 Pilots&#8217; salaries are considerably higher than cabin crews&#8217;.\u00a0 At the same time, Ryanair succeed in keeping their fares low by running an efficient and lean organisation so that they employ as few other staff as possible.\u00a0 After all, all you need to fly planes are pilots to fly them, cabin crew to look after passengers and engineers to maintain the planes.\u00a0 As a result, the balance between cabin crew and pilots has a disproportionate effect on the gender pay gap in Ryanair UK&#8217;s case especially since their head office is in Ireland so their UK staff consists almost entirely of pilots and cabin crew.\u00a0 By the way, I should give kudos to Ryanair for <a href=\"https:\/\/investor.ryanair.com\/wp-content\/uploads\/2018\/04\/ryanair-gender-pay-gap.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">the really nice graphical layout of their own gender pay gap report<\/a>.\u00a0 Their main competitor <a href=\"http:\/\/corporate.easyjet.com\/~\/media\/Files\/E\/Easyjet\/attachments\/easyjet-gender-pay-gap-report-november-2017\" target=\"_blank\" rel=\"noopener noreferrer\">EasyJet has a similar gender pay gap issue and again I really like the graphics used<\/a> in their own report.<\/p>\n<p>Is this likely to change?\u00a0 One of the few verified differences between men and women is spatial awareness especially in 3 dimensions where men on average outperform women.\u00a0 3D spatial awareness is clearly an essential skill for a pilot and given the consequence of an inadequate pilot can be death for all on board, is it our goal to achieve 50:50 gender parity among pilots?\u00a0 Conversely much female employment is biased towards the 5 Cs (catering, cleaning, children, caring, customer facing) hence the female bias to cabin crew in Ryanair.\u00a0 The question has to be asked, are the 5 Cs where women want to work or are expected to work?\u00a0 If we say that women should be encouraged to broaden their horizons beyond 5 Cs, are we also looking for more men to start working in 5 Cs as well?\u00a0 Would it be desirable for 50% of midwives to be men say?\u00a0 Note the questions I ask here are about whether we should be seeking gender parity within roles not whether one gender should be banned from working in a certain role.<\/p>\n<p>If we decide that not all roles need gender parity, then we need to ask whether there should be differences in pay between different roles?\u00a0 For example, it is quite plausible that pilots are being paid 5 to 10 times what cabin crew are paid.\u00a0 Is this right?\u00a0 After all, pilots bear the ultimate responsibility for everyone&#8217;s safety so paying them more seems right but 10 times as much?\u00a0 So many questions but the answers aren&#8217;t going to be found in published gender pay gap data.\u00a0 All the data does is pose the questions.<\/p>\n<p>&nbsp;<\/p>\n<h4><strong><span style=\"color: #339966\">6<span style=\"color: #339966\">: &#8220;If<\/span> publishing gender pay gap data is a success, we should also require companies to publish their racial pay gap, sexuality pay gap and disability pay gap.&#8221;<\/span><\/strong><\/h4>\n<p>I will state now that I am totally opposed to mandatory racial, sexuality and disability pay gap reporting on statistical grounds whilst at the same time being supportive of gender pay gap reporting.\u00a0 How can I justify such an apparent contradiction whilst being personally interested and committed to diversity and inclusion?<img loading=\"lazy\" decoding=\"async\" class=\"alignright size-full wp-image-1068\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/mars-pay-gap-1.png\" alt=\"\" width=\"237\" height=\"262\" \/><b><\/b><i><\/i><u><\/u><\/p>\n<p>The answer is that in the UK, non-white, LGBT and disabled people are <strong>minorities<\/strong>, typically fluctuating around 10% of the population.\u00a0 Women on the other hand are not a minority as they are half of the population.\u00a0 Recall statement 4 where I urged caution in interpreting differences in gender pay gaps between organisations due to what I call the laws of chance.\u00a0 <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/gender-pay-gap-and-life-on-mars\/\" target=\"_blank\" rel=\"noopener noreferrer\">I used my former employer Mars UK Ltd to make comparisons between their 4 subsidiaries and using computer simulations, I was able to produce the table shown here<\/a>.\u00a0 Here I assume a company that does not discriminate in any shape or form when it comes to pay and promotion.\u00a0 However, the gender split varies depending on the kind of industry they operate in.\u00a0 Based on computer simulations, I show that 95% of the time, their published gender pay gap will lie between the range shown by the LCI &amp; UCI columns.\u00a0 This range varies depending on the number of employees and the gender ratio.<\/p>\n<p>The most important row in the table above is the one for a company with 300 employees with only 1 in 10 women.\u00a0 Look at the massive possible variation of 30-40% in the median gender pay gap purely due to the laws of chance.\u00a0 Replace women in this company with some minority category, you will still have the same massive potential gap.\u00a0 As a result it will be impossible to draw meaningful conclusions for such pay gap data at the company level.\u00a0 You might be able to draw conclusions at an industry or regional level but there are better ways of collecting such data than repeating gender pay gap reporting requirements for race, sexuality and disability based categories.<\/p>\n<p>It is true though that this statistical problem is most acute for small companies.\u00a0 For larger companies with thousands of employees, the variation in pay gap due to chance is a lot smaller so is it possible to draw conclusions just for larger companies?\u00a0 At this point we run into a second issue which is particularly acute for racial pay gap reporting.\u00a0 Nearly all organisations recruit their staff from a particular location according to where their premises are sited which means that the number of employees who live in Scotland but work in London is extremely small for example.\u00a0 Therefore, whilst we can expect the gender ratio to be 50:50 in nearly every location, we cannot expect every area to be similar in terms of racial breakdowns.\u00a0 If we look at parliamentary constituencies in the UK which tend to be of similar sizes in terms of population, they range from 14% white British in East Ham in East London to 98% white British in Workington in Cumbria, according to the 2011 census.\u00a0 Of the 632 constituencies in Great Britain, only 53 are minority white British, all in England, and of these 53, 42 are in London.\u00a0 At the other end, 353 constituencies are at least 90% white British.\u00a0 Obviously staff will be recruited from a number of constituencies so what exactly is the benchmark against which we should be assessing racial equality?\u00a0 Such uncertainty just adds even more potential noise to the ranges shown above in the table hence I cannot endorse pay gap reporting on racial, sexuality or disability grounds.<\/p>\n<p>&nbsp;<\/p>\n<h4><span style=\"float: none;background-color: transparent;color: #339966;font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif;font-size: 18.73px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px\">7<\/span><span style=\"color: #339966\"><strong>: &#8220;Gender pay gap data is seriously misleading and a pointless bureaucratic box ticking exercise.\u00a0 Let&#8217;s get rid of it!&#8221;<\/strong><\/span><b><\/b><i><\/i><u><\/u><\/h4>\n<p>The best way to get Parliament to abolish gender pay gap reporting is if the whole exercise is discredited in the eyes of the public.\u00a0 I have shown you a number of ways to misuse gender pay gap data so you know what to do if your wish is to so discredit.\u00a0 But there are two other ways whereby gender pay gap reporting can be discredited.<\/p>\n<p>The first is if organisations find the process onerous to complete and of little value to them personally.\u00a0 If the point is to prompt organisations to think about how they recruit, promote and reward women, then the reporting requirements must be kept as simple as possible and examples of good practice as a result of published data need be highlighted.\u00a0 If the point is simply to create sticks to unjustly beat up companies as per statement 4 then companies will end up gaming the system as per statements 2 &amp; 3 and that will eventually result in calls to abolish it.<\/p>\n<p>But there is a much more urgent issue to address.\u00a0 In writing this post, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/1-in-10-orgs-published-incorrect-gender-pay-gap-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">I have discovered that potentially 10-15% of the 10,504 organisations who have submitted their gender pay gap data have submitted incorrect data<\/a>.\u00a0 The easiest way to discredit such data is if it cannot be relied on in the first place.\u00a0 <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/1-in-10-orgs-published-incorrect-gender-pay-gap-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">I have written another post to explore in more depth the three types of errors I have spotted<\/a>.<\/p>\n<ol>\n<li><strong>Incorrect data entry<\/strong> &#8211; for example <a href=\"https:\/\/gender-pay-gap.service.gov.uk\/viewing\/employer-details?e=JOUUqpB6tr22tx04IV8f3A%21%21\" target=\"_blank\" rel=\"noopener noreferrer\">Randstad HR Solutions<\/a> claim a median pay gap of 104% in favour of women yet in their own report they say it is in fact 18% against women.<\/li>\n<li><strong>Income quartiles entered the wrong way around<\/strong> &#8211; for example, <a href=\"https:\/\/gender-pay-gap.service.gov.uk\/viewing\/employer-details?e=f8NOum8OCrI4cOffP3f9nA%21%21\" target=\"_blank\" rel=\"noopener noreferrer\">Worcestershire County Council<\/a> have inadvertently put their upper quartile figures into the lower quartile box instead as evidenced by their own report.<\/li>\n<li><strong>Claiming no gender pay gap when income quartile gender splits clearly show there is a gap<\/strong> &#8211; In common with a number of football clubs, my team <a href=\"https:\/\/gender-pay-gap.service.gov.uk\/viewing\/employer-details?e=T5uBuACWT36a96oXEZBJ_g%21%21\" target=\"_blank\" rel=\"noopener noreferrer\">Newcastle Utd<\/a> are an example.<\/li>\n<\/ol>\n<p>In all cases, whilst it is the organisation&#8217;s responsibility to do the calculations and data entry correctly, it is the government that put the system in place and I am quite shocked at the lack of basic sanity checks on the data being entered.\u00a0<a href=\"https:\/\/marriott-stats.com\/nigels-blog\/1-in-10-orgs-published-incorrect-gender-pay-gap-data\/\" target=\"_blank\" rel=\"noopener noreferrer\"> As I explain in my separate post<\/a>, it is quite simple to show that the median pay gap and the male income quartile gender split must satisfy a mathematical inequality and if this is violated then the data cannot be right and will lead to either error 2 or error 3 above.\u00a0 I am almost certain that the cause of this problem is extremely poor guidance from the government on how to calculate the median man and median woman and as a result people are making basic errors which could be eliminated with some simple formulae in a spreadsheet.\u00a0 This must be addressed as a matter of urgency otherwise these organisations will be misleading themselves and the public on their gender pay gaps.<\/p>\n<p>&nbsp;<\/p>\n<h3><span style=\"color: #339966\"><strong>Check gender pay gap data yourself!<\/strong><\/span><\/h3>\n<p>So now you know 7 ways to misuse gender pay gap data.\u00a0 If you would like to look at the data yourself, then why not download my spreadsheet tool which will produce the charts shown here.<\/p>\n<p><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2018\/05\/Gender-Pay-Gap-Data-Chart-Tool-v1.0.xlsx\">Gender Pay Gap Data &amp; Chart Tool v1.0<\/a><\/p>\n<p>Alternatively, visit the government&#8217;s <a href=\"https:\/\/gender-pay-gap.service.gov.uk\/\" target=\"_blank\" rel=\"noopener noreferrer\">gender pay gap website<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>April 2018 was the deadline for submitting gender pay gap results and we now have the first detailed picture of how pay differs between men and women in the UK.\u00a0 A nifty government website can be used to look up pay gap details for any company employing more than 250 employees and you can also [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":1073,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[64],"tags":[37,36,63,40],"class_list":{"0":"post-1041","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-diversity","8":"tag-data-journalism","9":"tag-evidence","10":"tag-gender-pay-gap","11":"tag-presenting-data","12":"entry","13":"override"},"_links":{"self":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/1041","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/comments?post=1041"}],"version-history":[{"count":34,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/1041\/revisions"}],"predecessor-version":[{"id":1687,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/1041\/revisions\/1687"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media\/1073"}],"wp:attachment":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media?parent=1041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/categories?post=1041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/tags?post=1041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}