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Okun's law: growth-rate form ΔY/Y=k−c Δu\Delta Y/Y = k - c\,\Delta uΔY/Y=k−cΔu with exact remainder

Proved
OkunsLaw.growth_rate_form

by Lucas · Oct 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

economicsokuns-law

Let YYY, Y‾\overline YY, uuu, u‾\overline uu be the series of actual output, potential GDP, actual unemployment rate and natural rate of unemployment, let c,k∈Rc,k\in\mathbb Rc,k∈R, and let ttt be a year with Yt>0Y_t>0Yt​>0, Y‾t>0\overline Y_t>0Yt​>0 and Y‾t+1>0\overline Y_{t+1}>0Yt+1​>0. Write Δxt=xt+1−xt\Delta x_t = x_{t+1}-x_tΔxt​=xt+1​−xt​. Assume

  1. the gap version of Okun's law Y‾s−YsY‾s=c (us−u‾s)\dfrac{\overline Y_s - Y_s}{\overline Y_s} = c\,(u_s-\overline u_s)Ys​Ys​−Ys​​=c(us​−us​) holds for s=ts=ts=t and s=t+1s=t+1s=t+1;
  2. the natural rate of unemployment does not change: Δu‾t=0\Delta\overline u_t = 0Δut​=0;
  3. full-employment output grows at rate kkk: ΔY‾t/Y‾t=k\Delta\overline Y_t/\overline Y_t = kΔYt​/Yt​=k.

Then

ΔYtYt=k−c Δut−c Δut(Y‾t+ΔY‾tYt−1).\frac{\Delta Y_t}{Y_t} = k - c\,\Delta u_t - c\,\Delta u_t\left(\frac{\overline Y_t+\Delta\overline Y_t}{Y_t}-1\right).Yt​ΔYt​​=k−cΔut​−cΔut​(Yt​Yt​+ΔYt​​−1).

This is the growth-rate (difference) form of Okun's law, ΔYY≈k−c Δu\frac{\Delta Y}{Y}\approx k - c\,\Delta uYΔY​≈k−cΔu, with the approximation made exact: the last term is exactly the error committed by replacing the factor (Y‾t+ΔY‾t)/Yt(\overline Y_t+\Delta\overline Y_t)/Y_t(Yt​+ΔYt​)/Yt​ with 111.

Formalization Note The source's approximations Δu‾≈0\Delta\overline u\approx 0Δu≈0 and ΔY‾/Y‾≈k\Delta\overline Y/\overline Y\approx kΔY/Y≈k are taken as exact hypotheses 2 and 3; the approximation (Y‾+ΔY‾)/Y≈1(\overline Y+\Delta\overline Y)/Y\approx 1(Y+ΔY)/Y≈1 is replaced by the explicit remainder term.

Preamble
import Mathlib
import Definitions.Def_OkunsLaw_defs
Formal statement
namespace OkunsLaw

theorem growth_rate_form (c k : ℝ) (Y Ybar u ubar : ℕ → ℝ) (t : ℕ)
    (hY : 0 < Y t) (hYbar₀ : 0 < Ybar t) (hYbar₁ : 0 < Ybar (t + 1))
    (h₀ : GapLaw c Y Ybar u ubar t) (h₁ : GapLaw c Y Ybar u ubar (t + 1))
    (hnatural : delta ubar t = 0) (hpotential : growthRate Ybar t = k) :
    growthRate Y t
      = k - c * delta u t - c * delta u t * ((Ybar t + delta Ybar t) / Y t - 1) := by
  sorry

end OkunsLaw
Source
Wikipedia, "Okun's law", revision oldid=1341356066 (https://en.wikipedia.org/w/index.php?title=Okun%27s_law&oldid=1341356066), section "Mathematical statements" (difference version ΔY/Y = k − cΔu) and section "Derivation of the growth rate form", final display.
Read-back

What the Lean code literally says, in plain math · Aristotle (Harmonic) — same agent that drafted the statements (non-blind)

Non-blind read-back — not independent testimony. This read-back was written by the same agent that drafted the Lean statements, at the account owner's explicit request. It was not produced by a blind, independent auditor, and the author knew the intended meaning when writing it. Reviewers should not treat it as independent evidence of faithfulness.

Throughout, c∈Rc\in\mathbb Rc∈R is a real number; Y,Y‾,u,u‾:N→RY,\overline Y,u,\overline u:\mathbb N\to\mathbb RY,Y,u,u:N→R are arbitrary real sequences (indexed by years t∈Nt\in\mathbb Nt∈N), with no sign, boundedness or other assumptions beyond those listed; and t∈Nt\in\mathbb Nt∈N is an arbitrary year. Δxt\Delta x_tΔxt​ denotes xt+1−xtx_{t+1}-x_txt+1​−xt​, and Gapc(t)\mathrm{Gap}_c(t)Gapc​(t) denotes the proposition

Y‾t−YtY‾t=c (ut−u‾t)\frac{\overline Y_t - Y_t}{\overline Y_t} = c\,(u_t-\overline u_t)Yt​Yt​−Yt​​=c(ut​−ut​)

(with the convention that a real number divided by 000 is 000). Additionally k∈Rk\in\mathbb Rk∈R is an arbitrary real number.

Hypotheses.

  1. Yt>0Y_t>0Yt​>0, Y‾t>0\overline Y_t>0Yt​>0 and Y‾t+1>0\overline Y_{t+1}>0Yt+1​>0.
  2. Gapc(t)\mathrm{Gap}_c(t)Gapc​(t) and Gapc(t+1)\mathrm{Gap}_c(t+1)Gapc​(t+1) both hold, with the same ccc.
  3. Δu‾t=0\Delta\overline u_t = 0Δut​=0, i.e. u‾t+1=u‾t\overline u_{t+1}=\overline u_tut+1​=ut​.
  4. ΔY‾t/Y‾t=k\Delta\overline Y_t/\overline Y_t = kΔYt​/Yt​=k, i.e. kkk is exactly the growth rate of Y‾\overline YY from ttt to t+1t+1t+1 (not an average over several years).

Conclusion. An exact equality:

ΔYtYt=k−c Δut−c Δut(Y‾t+ΔY‾tYt−1).\frac{\Delta Y_t}{Y_t} = k - c\,\Delta u_t - c\,\Delta u_t\left(\frac{\overline Y_t+\Delta\overline Y_t}{Y_t}-1\right).Yt​ΔYt​​=k−cΔut​−cΔut​(Yt​Yt​+ΔYt​​−1).

There is no approximation and no bound on the last term; the statement is the identity above. All hypotheses concern only indices ttt and t+1t+1t+1. Since Y‾t+ΔY‾t=Y‾t+1\overline Y_t+\Delta\overline Y_t=\overline Y_{t+1}Yt​+ΔYt​=Yt+1​, the bracket equals Y‾t+1/Yt−1\overline Y_{t+1}/Y_t-1Yt+1​/Yt​−1. The hypotheses are jointly satisfiable (e.g. Y≡Y‾≡1Y\equiv\overline Y\equiv 1Y≡Y≡1, u≡u‾≡0u\equiv\overline u\equiv 0u≡u≡0, k=0k=0k=0).

Human review
  • Endorsed by Shuze Chen · Oct 10, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 10, 2026

    Confirmed by the mission captain (proposal self-audit).

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