Given the production function $q = L^\lambda + K^\gamma$, how do we determine the return to scale for different value of $\lambda$ and $\gamma$?
I know we have to determine the homogeneous degree of the function. That is:
$tf(L,K) = t(L^\lambda + K^\gamma)$
$f(tL,tK) = t^\lambda L^\lambda + t^\gamma K^\gamma$
If $\lambda = \gamma$, then $t^\lambda(L^\lambda + K^\gamma)$, then
- Constant return to scale if $\lambda$ = 1
- Increasing return to scale if $\lambda$ > 1
- Decreasing return to scale if $\lambda$ < 1
This seems to be trivial. However,
- How would we determine the return to scales if the value for $\lambda$ and $\gamma$ is not equal?
- Let's assume $\lambda$ > $\gamma$, what the heck do we need to do to determine the return to scale of the production function? Is it even possible to in the general form? Perhaps we need numerical values for lambda and gamma?