The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
HM Treasury changed the Green Book discount rate on 28 October 2026, adopting the recommendations of the Green Book Discount Rate Review 2026 (Freeman and Groom). This release makes the new schedule the default. Results change: any appraisal run with default arguments now discounts at a lower rate, so NPVs of projects with long-dated benefits rise.
New default schedule (vintage = "2026-10"): 3.00
percent for years 1 to 30, 2.50 percent for years 31 to 75 and 2.25
percent for years 76 to
125. It reproduces the discount factors in Annex A of the October 2026 supplementary guidance to four decimal places.
The October 2026 guidance says discounting is not meaningful
beyond year 125 and that one rate applies to all proposals. Under the
default vintage, years above 125 and the "health" and
"catastrophic" schedules are therefore errors with a
message pointing to the guidance, rather than being silently
extrapolated or applied.
The earlier schedule (3.5 percent declining to 1.0 percent, with
the health and catastrophic-risk variants) is kept as
vintage = "2003". The edition labels "2018",
"2020", "2022" and "2026-02" map
to it, the February 2026 edition having kept the 3.5 percent
rate.
gb_stpr(), gb_discount_factor(),
gb_discount(), gb_schedule_table(),
gb_carbon_npv() and gb_eanc() gain a
vintage argument. In gb_npv(),
gb_appraise() and gb_dist_weighted_npv(),
vintage was previously a label stored on the result; it now
selects the schedule, and defaults to "2026-10" instead of
"2022". An unknown vintage is now an error at the point of
appraisal.
gb_validate() recognises the new vintages and
reports, as information, when an appraisal uses the pre-October 2026
schedule.
gb_dist_weight() and gb_dist_weighted_npv() is
now 1.25, the value in the updated Green Book, down from 1.3. Pass
eta = 1.3 to reproduce earlier results.GDP deflator refreshed to HM Treasury’s October 2026 (Budget)
release: ONS outturn to 2025 (2025 = 100) and, new, OBR forecasts for
2026 to 2031, chained from the published growth rates.
gb_deflator(), gb_real() and
gb_rebase() can now express values in 2025 and 2026 prices;
previously they stopped at 2024. A type column marks
forecast years. data-raw/gdp_deflator.R now locates the
latest release through the GOV.UK Content API.
inst/CITATION takes the version number from
DESCRIPTION.
Maintainer email corrected to
charlesfcoverdale@gmail.com. The CRAN record for 0.1.0
carried charles.f.coverdale@gmail.com, which put greenbook
on a separate maintainer check-results page from the rest of my
packages. Both addresses reach the same inbox; this aligns the CRAN
record with every other package I maintain.
Corrected the description of the "catastrophic" STPR
schedule in gb_stpr() and
gb_discount_factor(). It previously read as the schedule to
use “for projects where catastrophic risk dominates”, which inverts the
guidance. The 3.0 percent schedule is the standard schedule with the
catastrophic-risk element of pure time preference removed, and is for
appraisals that already model that risk explicitly, so it is not counted
twice. Using it because a project looks risky would understate the
discount rate. Added a @details note identifying the 0.5
percentage point difference.
Refreshed every Green Book citation to the 2026 edition
(published 5 February 2026). The 2026 edition is a substantial
restructuring: most annexes were merged into the core chapters, and the
only surviving annex is “Annex A: Private finance models”. References to
“Annex A6” (discounting) and “Annex A3” (distributional analysis)
therefore no longer resolve, and “Annex A on appraisal: equivalent
annual cost” would now point at private finance models. Each citation
was rechecked against the 2026 text rather than having its year swapped:
discounting and inflation now sit in chapter 6, distributional analysis
in chapter 7, and valuation of social costs and benefits in chapter 8.
Equivalent annual cost does not appear in the 2026 main text, so
gb_eanc() now cites the supplementary discounting
guidance.
Replaced the superseded “HM Treasury (2003). Green Book
Supplementary Guidance: Discounting” reference in gb_stpr()
and gb_discount_factor() with the current supplementary
guidance and its gov.uk link.
gb_metb() no longer claims 20 percent as a 2026
Green Book figure. The 2026 edition specifies no uplift at all and
states that “Practitioners should not generally include these costs in
appraisal”, because most proposals are funded from pre-determined
departmental budgets so the cost of raising the funds does not differ
between the options being compared. The one exception it gives is
private finance model options. The bundled metb.csv note
for 2026 previously read “Maintained at 20 percent in Green Book 2026”,
which was wrong. vintage = "2026" now warns that the figure
is carried forward from 2022 rather than set by the 2026 edition, and a
new documentation section explains when the function still applies. The
returned value is unchanged, so existing code keeps working.
No changes to any returned value. The STPR schedule itself is unchanged.
gb_stpr(), gb_discount_factor(),
gb_discount(): kinked Social Time Preference Rate
(standard, health, catastrophic-risk variants) and discount
factors.gb_npv(), gb_eanc(): net present value and
equivalent annual net cost.gb_deflator(), gb_real(),
gb_rebase(): GDP-deflator factors and real-terms conversion
against a bundled vintage.gb_optimism_bias(), gb_apply_ob(),
gb_categories(): lookups for the Mott MacDonald (2002)
upper bounds across six project categories with mitigation factor
support.gb_dist_weight(), gb_dist_weighted_npv():
iso-elastic distributional weights using Green Book default eta =
1.3.gb_metb(): Marginal Excess Tax Burden uplift with
vintage lookup (20 percent in 2018+, 30 percent historical).gb_wellby(): WELLBY conversion to GBP per HMT Wellbeing
Guidance (July 2021). Central GBP 13,000 in 2019 prices.gb_vpf(): Value of Preventing a Fatality per DfT TAG.
GBP 2.153 million in 2024 prices.gb_qaly(): Quality-Adjusted Life Year per DHSC
supplementary Green Book guidance (GBP 70k) plus NICE thresholds.gb_carbon_value(): DESNZ Carbon Values for Appraisal,
central / low / high paths, traded and non-traded sectors.gb_carbon_npv(): NPV of an emissions path with full
discounting and rebasing.gb_appraise(): end-to-end appraisal in one call.
Optionally applies optimism bias and METB to costs, then computes NPV
and BCR with full provenance.gb_compare(): side-by-side comparison of two or more
options with NPV / BCR / EANC ranking and preferred-option
selection.gb_progression(): track an appraisal across SOC, OBC,
FBC business case stages.gb_place_based(): aggregate sub-projects into a
place-based business case (per Green Book 2026), with optional synergy
uplift.gb_economic_case(): wrap an appraisal in Five Case
Model Economic Case structure (CSFs, options, monetised summary,
non-monetised, VfM, recommendation).gb_validate(): lint an appraisal for sign-convention,
base-year, schedule, and consistency errors.gb_risk_register(): build a risk register with
monetised exposure (probability x impact), aggregate by category, and
optionally risk-adjust an appraisal NPV.gb_sensitivity_ob(): optimism bias sensitivity sweep
across a vector of mitigation factors. Required at every Green Book
business case gateway.gb_headline(): one-page summary with NPV, BCR, EANC,
payback, and provenance.gb_cost_per_unit(): cost-effectiveness ratio (PV cost
per QALY, WELLBY, tCO2e, etc.).gb_to_latex(): render an appraisal as a LaTeX
table.gb_to_excel(): multi-sheet Excel export (requires
openxlsx).gb_to_word(): one-page Word document export (requires
officer and flextable).gb_schedule_table(), gb_data_versions():
tibble of the STPR schedule and vintage metadata for all eight bundled
parameter tables (STPR, GDP deflator, optimism bias, METB, WELLBY, VPF,
QALY, carbon values).gb_appraisal S3 class with print(),
summary(), format() methods. The
summary() method renders BCR, optimism bias, METB,
distributional eta, and unweighted NPV when present.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.