The Solow Growth Model

31.29 The Solow Growth Model

The analysis in Chapter 21 "Global Prosperity and Global Poverty" is (implicitly) based on a theory of economic growth known as the Solow growth model. Here we present two formal versions of the mathematics of the model. The first takes as its focus the capital accumulation equation and explains how the capital stock evolves in the economy. This version ignores the role of human capital and ignores the long-run growth path of the economy. The second follows the exposition of the chapter and is based around the derivation of the balanced growth path. They are, however, simply two different ways of approaching the same problem.

Presentation 1

There are three components of this presentation of the model: technology, capital accumulation, and saving. The first component of the Solow growth model is the specification of technology and comes from the aggregate production function. We express output per worker (y) as a function of capital per worker (k) and technology (A). A mathematical expression of this relationship is

y = Af(k),

where f(k) means that output per worker depends on capital per worker. As in our presentation of production functions, output increases with technology. We assume that f() has the properties that more capital leads to more output per capita at a diminishing rate. As an example, suppose

y = Ak^1/3.

In this case the marginal product of capital is positive but diminishing.

The second component is capital accumulation. If we let k_t be the amount of capital per capita at the start of year t, then we know that

k_t₊₁ = k_t(1 − δ) + i_t.

This expression shows how the capital stock changes over time. Here δ is the rate of physical depreciation so that between year t and year t +1, δk_t units of capital are lost from depreciation. But during year t, there is investment (i_t) that yields new capital in the following year.

The final component of the Solow growth model is saving. In a closed economy, saving is the same as investment. Thus we link i_t in the accumulation equation to saving. Assume that saving per capita (s_t) is given by

s_t = s × y_t.

Here s is a constant between zero and one, so only a fraction of total output is saved.

Using the fact that savings equals investment, along with the per capita production function, we can relate investment to the level of capital:

i_t = sAf(k_t).

We can then write the equation for the evolution of the capital stock as follows:

k_t₊₁ = k_t(1 − δ) + sAf(k_t).

Once we have specified the function f(), we can follow the evolution of the capital stock over time. Generally, the path of the capital stock over time has two important properties:

Steady state. There is a particular level of the capital stock such that if the economy accumulates that amount of capital, it stays at that level of capital. We call this the steady state level of capital, denoted k*.
Stability. The economy will tend toward the per capita capital stock k*.

To be more specific, the steady state level of capital solves the following equation:

k* = k*(1 − δ) + sAf(k*).

At the steady state, the amount of capital lost by depreciation is exactly offset by saving. This means that at the steady state, net investment is exactly zero. The property of stability means that if the current capital stock is below k*, the economy will accumulate capital so that k_t₊₁ > k_t. And if the current capital stock is above k*, the economy will decumulate capital so that k_t₊₁ < k_t.

If two countries share the same technology (A) and the same production function [f(k)], then over time these two countries will eventually have the same stock of capital per worker. If there are differences in the technology or the production function, then there is no reason for the two countries to converge to the same level of capital stock per worker.

Presentation 2

In this presentation, we explain the balanced-growth path of the economy and prove some of the claims made in the text. The model takes as given (exogenous) the investment rate; the depreciation rate; and the growth rates of the workforce, human capital, and technology. The endogenous variables are output and physical capital stock.

The notation for the presentation is given in Table 31.11 "Notation in the Solow Growth Model": We use the notation g_x to represent the growth rate of a variable x; that is, $g_{x} = \frac{Δ x}{x} = % Δ x .$

There are two key ingredients to the model: the aggregate production function and the equation for capital accumulation.

Table 31.11 Notation in the Solow Growth Model

Variable	Symbol
Real gross domestic product	Y
Capital stock	K
Human capital	H
Workforce	L
Technology	A
Investment rate	i
Depreciation rate	δ

The Production Function

The production function we use is the Cobb-Douglas production function:

Equation 31.1

Y = K^a(HL)¹⁻^aA.

Growth Accounting

If we apply the rules of growth rates to Equation 31.1, we get the following expression:

Equation 31.2

g_Y = ag_K + (1 − a)(g_L + g_H) + g_A.

Balanced Growth

The condition for balanced growth is that g_Y = g_K. When we impose this condition on our equation for the growth rate of output (Equation 31.2), we get

g_{Y}^{B G} = a g_{Y}^{B G} + (1 - a) (g_{L} + g_{H}) + g_{A},

where the superscript “BG” indicates that we are considering the values of variables when the economy is on a balanced growth path. This equation simplifies to

Equation 31.3

g_{Y}^{B G} = g_{L} + g_{H} + (\frac{1}{1 - a}) g_{A} .

The growth in output on a balanced-growth path depends on the growth rates of the workforce, human capital, and technology.

Using this, we can rewrite Equation 31.2 as follows:

Equation 31.4

g_{Y} = a g_{K} + (1 - a) g_{Y}^{B G} .

The actual growth rate in output is an average of the balanced-growth rate of output and the growth rate of the capital stock.

Capital Accumulation

The second piece of our model is the capital accumulation equation. The growth rate of the capital stock is given by

Equation 31.5

g_{K} = \frac{I}{K} - δ .

Divide the numerator and denominator of the first term by Y, remembering that i = I/Y.

Equation 31.6

g_{K} = \frac{i}{K / Y} - δ .

The growth rate of the capital stock depends positively on the investment rate and negatively on the depreciation rate. It also depends negatively on the current capital-output ratio.

The Balanced-Growth Capital-Output Ratio

Now rearrange Equation 31.6 to give the ratio of capital to gross domestic product (GDP), given the depreciation rate, the investment rate, and the growth rate of the capital stock:

\frac{K}{Y} = \frac{i}{δ + g_{K}} .

When the economy is on a balanced growth path, g_K = $g_{Y}^{B G}$ , so

{(\frac{K}{Y})}^{B G} = \frac{i}{δ + g_{Y}^{B G}} .

We can also substitute in our balanced-growth expression for $g_{Y}^{B G}$ (Equation 31.3) to get an expression for the balanced-growth capital output ratio in terms of exogenous variables.

{(\frac{K}{Y})}^{B G} = \frac{i}{δ + g_{L} + g_{H} + \frac{1}{1 - a} g_{A}} .

Convergence

The proof that economies will converge to the balanced-growth ratio of capital to GDP is relatively straightforward. We want to show that if K/Y < ${(\frac{K}{Y})}^{B G},$ then capital grows faster than output. If capital is growing faster than output, g_K − g_Y > 0. First, go back to Equation 31.4:

g_{Y} = a g_{K} + (1 - a) g_{Y}^{B G} .

Subtract both sides from the growth rate of capital:

g_{K} - g_{Y} = g_{K} - a g_{K} - (1 - a) g_{Y}^{B G} = (1 - a) (g_{K} - g_{Y}^{B G}) .

Now compare the general expression for ratio of capital to GDP with its balanced growth value:

K / Y = \frac{i}{δ + g_{K}} (general expression)

and

{(K / Y)}^{B G} = \frac{i}{δ + g_{Y}^{B G}} (balanced growth) .

If K/Y < ${(\frac{K}{Y})}^{B G},$ then it must be the case that g_K > $g_{Y}^{B G}$ , which implies (from the previous equation) that g_K > g_Y.

Output per Worker Growth

If we want to examine the growth in output per worker rather than total output, we take the per-worker production function (Equation 31.2) and apply the rules of growth rates to that equation.

g_{Y / L} = (\frac{a}{1 - a}) g_{K / Y} + g_{H} + g_{A} .

(1 − a)g_Y = a[g_K − g_Y] + (1 − a)[g_L + g_H] + g_A = a[g_K − g_Y] + (1 − a)[g_L + g_H] + g_A.

We then we divide by (1 − a) to get

g_{Y} = \frac{a}{(1 - a)} [g_{K} - g_{Y}] + g_{L} + g_{H} + (\frac{1}{1 - a}) g_{A}

and subtract g_L from each side to obtain

g_{Y} - g_{L} = \frac{a}{(1 - a)} [g_{K} - g_{Y}] + g_{H} + (\frac{1}{1 - a}) g_{A} .

Finally, we note that g_Y − g_L = g_Y_/_L:

g_{Y / L} = \frac{a}{(1 - a)} [g_{K} - g_{Y}] + g_{H} + (\frac{1}{1 - a}) g_{A} .

With balanced growth, the first term is equal to zero, so

g_{Y / L}^{B G} = g_{H} + (\frac{1}{1 - a}) g_{A} .

Endogenous Investment Rate

In this analysis, we made the assumption from the Solow model that the investment rate is constant. The essential arguments that we have made still apply if the investment rate is higher when the marginal product of capital is higher. The argument for convergence becomes stronger because a low value of K/Y implies a higher marginal product of capital and thus a higher investment rate. This increases the growth rate of capital and causes an economy to converge more quickly to its balanced-growth path.

Endogenous Growth

Take the production function