econ.studio
Solow–Swan Growth Model
Section 1 of 9
Section 1

Introduction

Why growth is the most important question in economics

The richest countries are roughly 30–60 times wealthier than the poorest, measured in income per person. That gap is not an accident of last year's policy. It has compounded over decades.

The chart below shows why growth rates are everything. A country growing at 2% instead of 1% ends up about 2.7 times richer after a century. The same logic, applied for generations, produces the 30–60× gaps we see today.

The power of compounding: 1% vs 2% growth

A country growing at 2% per year ends up roughly e100×0.012.7×e^{100 \times 0.01} \approx 2.7\times richer than one growing at 1%. Small rate differences compound into enormous gaps.

The core mechanism

The model tracks one thing: how a country's capital per effective worker evolves over time. Two forces act on it simultaneously:

Investment adds to capital. A fraction ss of output is saved and invested each period, so investment per effective worker is sf(k)sf(k).

Break-even investment drains capital. To keep kk constant, the economy must replace worn-out capital (rate δ\delta) and equip the growing effective labour force (rate n+gn + g). The total drain is (n+g+δ)k(n + g + \delta)k.

When investment exceeds the drain, kk rises. When it falls short, kk falls. Eventually the two forces balance at a unique steady state kk^*. That balance point is the long-run destination of the economy.

k˙=sf(k)investment(n+g+δ)kbreak-even\dot{k} = \underbrace{sf(k)}_{\text{investment}} - \underbrace{(n+g+\delta)k}_{\text{break-even}}
The fundamental equation of motion — the entire model in one line.

What the model tells us

The model shows that saving more raises the level of output per worker — but it does not raise the long-run growth rate. Growth in the long run comes only from technological progress gg.

More surprisingly, the model's own math shows that saving rates alone cannot explain the 30–60× income gaps across countries. The elasticity of steady-state income with respect to the saving rate is only α/(1α)12\alpha / (1-\alpha) \approx \tfrac{1}{2}. A 10× income gap would require implausibly large saving-rate differences. The action must be in technology AA, not just capital.

Historical context

1956
Robert Solow (MIT) and Trevor Swan (ANU) independently publish the model.
1957
Solow introduces growth accounting and finds that ~87% of US output growth per worker came from the residual (technology), not capital.
1987
Solow awarded the Nobel Prize in Economics.
1992
Mankiw, Romer & Weil add human capital. The extended model fits cross-country data much better and predicts a convergence speed close to the observed 2% per year.
1980s–90s
Endogenous growth theorists (Romer, Lucas) build on the Solow framework to explain where technology growth comes from.