“… to rely at trial on a written report in relation to each Lead Claimant and Reserve Lead Claimant on the estimation of that Claimant’s expected career earnings if he had not been blacklisted. Such reports shall be jointly authored by the following experts in the identified fields: (a) A labour economist, namely Dr Victoria Wass; (b) An expert in the field of actuarial science and statistics, namely Dr Zoltan Butt; (c) Experts on working patterns, practices and wages in the construction industry, namely Professor Linda Clarke and Dr Ian Fitzgerald.”
“(1) Subject to any rules of court made in pursuance of Part 1 of theCivil Evidence Act 1968 or this Act, where a person is called as a witness in any civil proceedings, his opinion on any relevant matter on which he is qualified to give expert evidence shall be admissible in evidence… (3) In this section ‘relevant matter’ includes an issue in the proceedings in question.”
“Where tests of a scientific or technical nature have been carried out, experts should state: (a) the methodology used; and (b) by whom the tests were undertaken and under whose supervision, summarising their respective qualifications and experience.”
“where there is a range of opinion on the matters dealt with in the report— (a) summarise the range of opinions; and (b) give reasons for the expert’s own opinion.” (See also the Guidance, para 59). (a) summarise the range of opinions; and (b) give reasons for the expert’s own opinion.”
“… expert evidence is admissible undersection 3 of the Civil Evidence Act 1972 in any case where the court accepts that there exists a recognised expertise governed by recognised standards and rules of conduct capable of influencing the court’s decision on any of the issues which it has to decide and the witness to be called satisfies the court that he has a sufficient familiarity with and knowledge of the expertise in question to render his opinion potentially of value in resolving any of those issues. Evidence meeting this test can still be excluded by the court if the court takes the view that calling it will not be helpful to the court in resolving any issue in the case justly. Such evidence will not be helpful where the issue to be decided is one of law or is otherwise one on which the court is able to come to a fully informed decision without hearing such evidence.”
“It is well established that in order to fulfil the requirement ofCPR Part 35.1 , a court must be satisfied that the expert evidence is properly admissible and will genuinely assist the trial judge in determining the matters which are in issue. The burden of establishing these two requirements rests upon the party that seeks permission to adduce the expert evidence concerned: see Clarke v Marlborough Fine Arts (London) Ltd[2002] EWHC 11 (Ch) at para 5, per Patten J.”
“… the court has to make a judgment on at least three matters: (a) how cogent the proposed expert evidence will be; (b) how helpful it will be in resolving any of the issues in the case; and (c) how much it will cost and the relationship of that cost to the sums at stake.”
“…The present application, by contrast, is for a series of individual reports which provide valuations tailored to the circumstances of the individual Lead Claimants, whilst retaining as a starting point in each case an analysis that will produce ‘benchmark’ figures derived from large-scale national data. It is our view that this ‘hybrid’ approach of combining large-scale data analysis with adjustments that take account of individual circumstances has three key features [see paras 12-14] which make it both appropriate and, indeed, indispensible.”
“The valuation of the potential earnings of each lead claimant had he not been blacklisted is a particularly difficult element of the claim to value. The approach proposed is to develop benchmark wages and employment probabilities in each year from the first entry on the database according to each claimant’s characteristics (for example year, age, trade, type of project, willingness to travel) using large scale nationally representative data sources and to adjust these on an individual basis using relevant industry data, for example collective agreements. The former is necessary in order to achieve a nationally representative reference point and the latter to account for deficiencies in the large scale data (for example the industry practice of remunerating large numbers of construction workers outside PAYE and of paying completion bonuses) and to achieve greater precision in individual circumstances than is possible from averages measured across broad sub-groups.”
“2.3 In stage 1, benchmark estimates for EE1 [Expected Earnings 1] and WE1 [Work Expectancy 1] will be provided for the lead claimants for each year of their potential loss using best available nationally representative large scale data. The Annual Survey of Hours and Earnings (ASHE) and the Labour Force Survey (LFS) cover the entire working-age population of the UK. Both surveys collect information on wages and the LFS collects information on employment status. Econometric techniques will be used to derive relevant statistics for both EE1 and WE1 for construction workers. These statistics are not published and are not readily available. 2.4 The benchmark estimates will be determined for sub-groups identified by the occupations of the lead claimants. The benchmark estimates for each occupation sub-group will cover workers of the age of the lead claimants in that sub-group, and the periods for which they claim losses. The whereabouts on the distribution of ASHE earnings estimates for sub-groups will be informed by industry information, for example industry agreements, collectively bargained rates of pay, including Supplementary Project Agreements (SPAs) and dispensations, and overtime rates. 2.5 In stage 2 benchmark estimates will be adjusted, where appropriate, on an individual basis for each lead claimant using detailed specialist industry information including on levels of demand, specific skills, employment status and travelling allowances. These factors are likely to be important and they are not recorded in the LFS or ASHE. ASHE only covers PAYE employees though a large proportion (c.40% or more over the past 30 years) of those employed in the industry is classified as self-employed. Qualitative data from industry archives, past surveys, research projects and stakeholder sources will be used to adjust the benchmark estimates for individual factors like employment status (e.g. whether PAYE or self-employed). 2.6 The mechanics of the second stage of individual adjustments to the general model are as follows: The first step will be to draw up a checklist of the key variables and earnings and wage indicators (e.g. employment status, type of project, economic climate, type of collective agreement, project hours, age, mobility, region, experience, qualifications, and promotion possibilities) based on their significance, or lack of significance, for earnings for particular occupations, or for particular lead claimants in different periods. The second step will be to assess whether any adaptation to the benchmark estimate for the relevant occupational sub-group is required in an individual case during any particular period in the light of the particular significance (or otherwise) of one or more variable or factor. For instance, if the individual is mobile in a particular period, they will be classified as a ‘traveller’ rather than a local. If a claimant’s case is that but for the blacklisting he would have been likely to have been employed on a particular project and if wage indicators are available for this or a similar contemporary project, then these will be referred to in the adjustment.”
“The contribution of the research undertaken in this project is, assuming liability is established and causation is proved (i.e. there was a loss of earnings caused by the claimant having been blacklisted), to value the potential earnings of each lead claimant had he not been entered onto the construction industry blacklist.”
“1.2 The extent of the Claimants’ loss will be approached in two stages. The purpose of Stage One is to value the potential earnings of each lead claimant had he not been entered onto the construction industry blacklist. This is approached by estimating the earnings of a hypothetical comparator (not blacklisted) who shares the key earnings-related characteristics of each claimant to produce ‘benchmarks’. 1.3 Stage Two will allow for adjustments to these benchmarks on an individual basis using individual information and relevant industry data. The benchmark is necessary in order to achieve a nationally representative reference point and the latter to account for deficiencies in the large-scale data (for example, the industry practice of remunerating large numbers of construction workers outside PAYE and of paying completion bonuses). Adjustment will achieve greater precision in individual circumstances than is possible from averages measured across broad sub-groups. 1.4 This report is focussed on Stage One and develops a method for the systematic evidence-based reconstruction of earnings for a hypothetical comparator construction worker who is as closely matched to the claimant as is possible in terms of trade, year, age, hours of work, employer size and coverage by collective agreement.”
“The NES/ASHE series provide the most accurate and reliable source of earnings for construction workers by occupation and potentially therefore the fairest guide to the value of the earnings losses (when actual earnings are subtracted) each has sustained as a result of entry onto the industry blacklist. If approved here, the approach and the estimates will be scrutinised in the High Court in relation to 30 lead cases in The Construction Industry Vetting Information Group Litigation (HQ12X01115). If successful, a further 600 claims are likely to follow. The existing scheme [that is ‘The Construction Workers Compensation Scheme’] has been described as having ‘grave flaws’ (see section 3 above), offering inadequate compensation (HCSAC 2015: paras 31 and 32) and this may explain the level of uptake on the part of blacklisted workers. What is proposed here as an alternative is a systematic and evidence-based set of estimates, derived on a transparent basis, using data from a large sample collected and recorded by an authoritative body and with results (once released) shared with all parties at an early stage.”
“5.3 … In the absence of comparable evidence on earnings under PAYE, CIS and self-employment, it is not possible to estimate the measurement error involved. 5.4 It is my opinion that the earnings information in the NES and ASHE is the best that is available to achieve the aims and objectives set out in section 3 above. It is for the Court to decide whether they are good enough.”
“The two principal analytical techniques used in my main Report – regression analysis and transition analysis – are established techniques for the purposes for which I have used them here”
“Zoltan Butt was employed here to undertake the data manipulations on the Labour Force Survey and to produce a set of employment probabilities for the construction sector using similar methods to those developed during the Ogden project. He has the technical skills and experience to do this manipulation and he worked under my direction. I told him what was needed, we discussed how this could best be achieved and I decided on the course of action. I am familiar with the data and with how it needs to be manipulated in order to achieve the required outputs. It would have taken me longer to undertake the manipulation and I would have used different software. Decisions regarding matters such as variables, time periods and required outputs were taken by me after discussion with Dr Butt… … All the data manipulation for this case was conducted in the period from the middle of October 2015. The raw LFS quarterly panels 1992-2003 originally downloaded for the Ogden project were re-used in this project but a new model was developed to compare the employment probabilities within and outside the construction sector for this same period 1992-2003. Dr Butt and I worked closely together to adapt the analysis to the construction sector and then to include employment outside the sector as an alternative employment status. This is a different exercise to that conducted for Ogden although many of the underlying principles are the same… data used in this project were manipulated separately from the Ogden project…”
“It is important to recognise that all the assumptions (employer-size, coverage by agreement and a 50 hour plus working week) are flexible and can be changed in either the calculation of the benchmarks (because they are incorrect on average) and/or in the individual adjustments to be made at Stage Two (because they are incorrect for the individual claimant).”
“Highly complicated The overall method proposed by Dr Wass is highly complicated, requiring both a demanding programme of econometric analysis and a considerable degree of data-cleaning and manipulation. 12.1 If this method were to be adopted it would be necessary—as Dr Wass tacitly acknowledges—to develop the calculations further, and quite possibly significantly further. 12.2 This would almost certainly be inevitable were it to be accepted that the results ultimately have to be produced on an individual by individual basis. 12.3 Even if further work were to be undertaken, there can in my opinion be no guarantee that this would produce results that would be compelling and of sufficient quality to be able to warrant their being used operationally. Such is the nature of research.”
“I am writing on behalf of the CSSG in order to provide instructions for a witness statement that we request you to prepare in order to address a number of points made by the Defendants and their expert to the court during the course of today’s hearing (7 December 2015 ).”
“1. Methodology for producing benchmark earnings based on national data sets Please describe and explain a methodology which you would recommend for analysing, adjusting and applying large national data sets of earnings and employment probabilities, in particular data from the Annual Survey of Hours and Earnings (‘ASHE’) and Labour Force Survey (‘LFS’), in order to produce the best available match for what a non-blacklisted construction worker sharing the characteristics of each Lead and Reserve Claimant would have expected to earn over the period of his claim, and for the three years preceding the start of his claim. Please include an explanation of your opinion as to: … (d) Any alternative methodologies which, in your opinion, might usefully be considered and their strengths and weaknesses in comparison with the methodology that you recommend.”
“It is necessary for the evidence about expected earnings to address the circumstances of all the Lead and Reserve Claims”
“It is our understanding that, for the purposes of producing relevant series and selections of benchmark data based on the available national data sets, the individual characteristics that will be relevant are only the occupation, age and period of claim for each Lead and Reserve Claimant”
“1.9 The conditions for access to the microdata, and the advantages they convey, are particularly strict and impose significant constraints on the way this research has been undertaken and the way in which it can be scrutinised. Access to the data and to any analysis which is not included in the output release is restricted to ONS Approved Researchers who are registered on this ONS Approved Research Project and whose work is restricted to the secure data laboratory. I have made my analysis as transparent as it is possible to do under these conditions. … 1.10 Outside scrutiny of the data and analysis would be possible by another ‘Approved Researcher’ who would have access to the secure data laboratory. I would be happy to add an Approved Researcher to this project. This would provide access to all the data and the analysis used to generate the results reported here.”
“In advance of access to the NES/ASHE microdata I did not know whether regression analysis would be possible.”