\[ Y_{t} = K_{t}^\alpha (A_{t} L_{t})^{1-\alpha} \]
\[ \Pi = K_{t}^\alpha(A_{t} L_{t})^{1-\alpha} - wL - rK \]
\[\frac{\delta \Pi} {\delta K} = \alpha K^{a} (AL)^{1-\alpha}K^{-1}-r = 0\]
\[\frac{ \alpha K^{a} (AL)^{1-\alpha}}{K} = r\]
Substitute in \(Y_{t}\)
How much capital is used?
\[ K = \alpha \frac{Y_{t}} {r}\]
Return on Capital
\[ r = \alpha \frac{Y_{t}} {K}\]
Repeat the above, but for labour. If all income Y is either labour income wL or capital income rK, what is the relationship between the parameters of the production function and the capital/labour shares?
\[\frac{\delta \Pi} {\delta L} =(1- \alpha) K^{a} (AL)^{1-\alpha} L^{-1}-w = 0\]
\[\frac{(1- \alpha) K^{a} (AL)^{1-\alpha}}{L} = w \]
Substitute in \(Y_{t}\)
How much labour is used?
\[ L = (1 - \alpha) \frac{Y_{t}} {w}\]
Return on labour
\[ w = (1 - \alpha) \frac{Y_{t}} {L}\]
If all income is from capital, then \(\alpha = 1\). As a result,
\[Y_{t} = K_{t}^1 A_{t}^{1-1} L_{t}^{1-1}\] \[Y_{t} = K_{t}\]
If all income is from labour, then \(\alpha = 0\). As a result,
\[Y_{t} = K_{t}^0 A_{t}^{1-0} L_{t}^{1-0}\] \[Y_{t} = A_{t}L_{t}\]
Another common production function is the “CES” production function, which takes the form:
\[ Y = (\alpha K^\rho + (1 - \alpha) L^\rho)^{\frac{1}{\rho}}\]
Derive the marginal products of capital and labour for this form.
\[MPK = \frac{\delta Y}{\delta K}\]
\[\frac{\delta Y}{\delta K} = \frac {1}{\rho} (\alpha K^\rho + (1 - \alpha) L^\rho)^{\frac{1}{\rho}-1}\rho \alpha K^{\rho - 1}\]
Therefore
\[\frac{\delta Y}{\delta K} = \alpha K^{\rho - 1}(\alpha K^\rho + (1 - \alpha) L^\rho)^{\frac{1}{\rho}-1}\]
\[MPL = \frac{\delta Y}{\delta L}\]
\[\frac{\delta Y}{\delta L} = \frac {1}{\rho} (\alpha K^\rho + (1 - \alpha) L^\rho)^{\frac{1}{\rho}-1}\rho (1 - \alpha) L^{\rho - 1}\]
Therefore
\[\frac{\delta Y}{\delta L} = (1 - \alpha) L^{\rho - 1}(\alpha K^\rho + (1 - \alpha) L^\rho)^{\frac{1}{\rho}-1}\]
The original capital accumulation equation can be written by \(K = s y - ( n + g + d ) k\) and the Cobb-Douglas production function in this model is \(Y_{t} = K_{t}^\alpha ( A_{t} L_{t})^{1-\alpha}\)
First, we let lowercase letters denote variable divided by the stock of unskilled labor, L, and rewrite the production function in terms of output per worker as \(y_{t} = k_{t}^\alpha (A_{t} l_{t})^{1-\alpha}\)
Here, since lt is constant we can define the state variables by dividing by Al, Denote these state variables with a tilde, implies that. (equation 1)
The capital accumulation equation in terms of the state variables as (equation)
The steady-state variable value of k~ and y~ are found by seting k~. =0, which yields (equation)
Substituting this condition into the production function in equation 1 (equation)
Rewriting this in terms of output per worker, we get \(y_{t}^* = \left(\frac{S_{k}}{n+g+s}\right)^{\frac{\alpha}{1-\alpha}}A_{t}l_{t}\)
In equation (equation), since y~ is constant, if k increases, that (equation) will increase as will, and vice versa. However, the output per worker also deponds on \(\frac{\alpha}{1-\alpha}\), if is closer to 1, the output per worker will get higher. (Since, \(A_{t}\) and \(l_{t}\) is positive and not equal to 0) Which the variable l is directly affect \(y_{t}^*\)
\((n + g + s)\)
Compare two both production function in this model and Balanced grow model by Kaldor.
\[Y_{t} = K_{t}^\alpha (A_{t} L_{t})^{1-\alpha}\]
\[Y_{t} = A_{0} K_{t}^\alpha (\gamma^t L_{t})^{1-\alpha}\]
Both divided by Labor force L,
\[Y_{t} = k_{t}^\alpha (A_{t}l_{t})^{1-\alpha}\]
\[Y_{t} = A_{0} k_{t}^\alpha (\gamma^t l_{t})^{1-\alpha}\]
In the Balance growth model, settle the variable A to the initial data \(A_{0}\), and non- related to coefficient \(1-/alpha\). And add a new coefficient \(\gamma\) to measure grow rate. Here is few explanation can answer the Q5 in some extent:
\(\frac{Y_{t}}{N_{t}} = (\gamma^{1-\alpha})^t A_{0}(\frac{K_{t}}{N_{t}})^\alpha (\frac{L_{t}}{N_{t}})^{1-\alpha} = \gamma^t A_{0} k^\alpha l^{t\alpha}\) grows at rate \(\gamma-1\)
\(\frac{K_{t}}{N_{t}} = \gamma^t k\) grows at rate \(\gamma-1\)
\(\gamma_{t} - \delta = \alpha(\gamma^{1-\alpha})^t A_{0} K_{t}^{\alpha - 1} L^{1-\alpha} - \delta = \alpha A_{0} k^{\alpha - 1} - \delta = \frac{\gamma \eta}{\beta - 1}\) is constant
\(\frac{K_{t}}{Y_{t}} = k(A_{0}k^{1-\alpha}l^{1-\alpha})\) is constant
\(\frac{\gamma K_{t}}{Y_{t}} = \alpha\), \(\frac {ne_{t} L_{t}}{T_{\alpha}}=1-\alpha\) are constant.
Rate of growth of \(\frac{Y_{t}}{N_{t}}\) is determined solely by \(\gamma\).
Due to the destruction of much of its capital stock, Post-war Germany had a very low capital to labour ratio (at k*). Whilst capital was heavily impacted by the war, labour was relatively unaffected. In accordance with the Swan-Solow model, Germany’s capital stock quickly replenished as they converged to the steady state at a fast rate (at k).
To maximise consumption, savings and consumption levels should be equal. This can be seen at the point k where in graph 2 consumption is maximised. The shape of this graph is an inverted parabola