Provision of Human Capital Literature Review
Office for National StatisticsEstimated Value
Up to £37,915
Deadline
12 February 2019
Published
22 January 2019
Type
services
Overview
The ONS is intending to recruit academic and/or private sector economists and statisticians to deliver a literature review on recent impactful developments in the field of Human Capital. Note, other professions and sectors are welcome to apply, though they will still need to demonstrate the criteria outlined below.
As a common definition for the rest of the tender document, Human Capital is defined as the "value of individuals' skills and knowledge as it can productively be applied to the economy". The result will assist ONS in shaping its future research priorities on the subject of Human Capital.
Objectives: The aim of the project is to provide an easily accessible, and quick resource for ONS statisticians and colleagues when compiling methods and data sources for the potential improvement of ONS Human Capital estimates. This will take the form of a targeted literature review on the following areas: 1.
Additional details
Factors which have empirically and theoretically been highlighted as significant to human capital at an aggregate and individual level. 2. Analysis of determinants of earnings (including the use of Mincerian approaches) paying particular attention to sources used, methods applied and assumptions made.
As a guide, you are expected to undertake a review of 15-20 of the most innovative, impactful and high-quality papers on Human Capital relevant to the UK against each area. This may include analysis for a country outside the UK, as long as the review can highlight how there is relevance for the UK context.
A wider, policy-related set of factors is sought out, and where possible the papers should have considered how to try and account for causal rather than associative factors. For causal empirical research, the review should capture which methodological steps have been taken in trying to ascertain causal effects explicitly.
We expect the majority of the papers included in the review to have been published no more than 10 years ago at the date of delivery, to satisfy the 'recent' element of the brief, or to otherwise be identifiably seminal. Outputs: The ONS requires a final report of around 30 pages per area highlighting strengths and weaknesses of different sources, methods and assumptions as described by the authors of each paper, alongside a detailed bibliography including identified reading and extended explanation of the rationale behind the selection/ non-selection of papers.
The report should also synthesise the overall findings of the papers considered. The tender will be published via ONS' e-tendering portal, In-Tend.
Only responses received via In-Tend will be accepted. If you are interested in this opportunity and would like to bid, please register on In-Tend via the link below: https://in-tendhost.co.uk/ons/aspx/Home Please inform Jay Crawley once you have registered. We will then attach your organisation to the Project.
AI AnalysisMembers
Requirements, key tasks and tips for reading this tender — included with Tendarix membership.
£4.99/month after a 7-day free trial. Cancel anytime before it ends and you pay nothing.
Likely incumbents
Suppliers who won similar work from this buyer in the last 5 years.
- 1
Economic Research Services Ltd t/a Fortia Insight
1 contract wonlatest 13 Aug 2026ends 31 Mar 2028£2m
total awarded
Economic Research Services Ltd t/a Fortia Insight is the most likely incumbent based on recency and category match. To win, bidders typically need a clearly differentiated proposition or a price advantage.
Before you bid, buyers check
two years of filed accountsyour financial standingturnover vs contract valueyour Companies House recordcash flow for 30-day termscredit scores and ratios
Actions
Start free trialto open noticeCreate an account and start a 7-day free trial to open the buyer’s own notice and tender documents, plus fit scoring and the Bid Writer. Then £4.99/month — cancel anytime.
Open Bid WriterIndependent software, web & cloud studio. We design, build and grow digital products that quietly outlast their category.
How to Apply
Step-by-step submission guide
Submission Portal
Contracts Finder
Open the original notice
Click the button below to view this tender on Contracts Finder
Find the submission method
Look for "How to apply" section — most tenders link to an eSourcing platform (e.g. In-Tend, ProContract, Jaggaer)
Create an account
Register on the eSourcing platform for free — you'll need a company email and DUNS number
Download tender documents
Download the ITT (Invitation to Tender), specification, pricing schedule, and any templates
Submit your response
Upload completed documents through the portal before the deadline — late bids are automatically rejected
Most buyers do NOT accept email submissions. You must submit through their eSourcing platform. Check the notice for the exact link.
Buyer Profile
Office for National StatisticsKey Dates
Published
22 January 2019
Submission deadline
12 February 2019
Notice type
award
Source
contracts finder
Related Tenders
CA18543 - northampton college - media planning & buying services
Northampton College is seeking to appoint an experienced media planning and buying agency to support the planning, booking, optimisation and evaluation of paid media campaigns. The
Design and installation of the east midlands pavilion at ukreiif 2027
This Team East Midlands opportunity is advertised to set out the mandatory and required services, Deliverables, standards, outputs and outcomes for the design and installation of t
Land maintenance: martlesham parish 2027 - 2030
Martlesham Parish Council is seeking a supplier for a three‑year land‑maintenance service (including bus‑shelter cleaning) starting 1 April 2027, with a possible two‑year extension.
CA18538 - provision of mechanical and electrical services
Bedford College is seeking an efficient, high quality mechanical and electrical service to provide full M&E support on all College projects at values up to £5m. Selected p
