How do you derive equation (10) on page 740 from He, Krishnamurthy (2013 AER)?
They say that "Given the log objective function in equation (8), the risky asset household chooses $\alpha_t^h$ to solve (where we have taken the limit as $\delta \rightarrow dt$)" where equation (8) is on page 739
$$ \rho\delta \ln{c_t^h}+(1-\rho\delta)E_t[\ln w_{t+\delta}^h]$$
where $\rho$ is time preference parameter, $\delta$ is some time increment, $w_{t+\delta}^h$ is bequest for generation $t+\delta$.
It is not clear to me which information they use to transform the log utility to equation (10) -- I am sorry that I cannot reproduce the entire environment of the model here. But if someone that knows the paper well could reply, it would be immensely helpful.
Really appreciate it! Here's a list of the notation:
- $\alpha_t^h$ : Household's allocation to risky assets
- $\tilde{dR_t}$: the return on capital for intermediary equity
- $r_t$ : return process for the riskless asset
- $\rho$ : time preference for the specialist
- $\delta$ : time increment, as in $t, t+\delta t, t+2\delta t, \cdots$. To switch to continuous-time, they take the limit $\delta \rightarrow dt$.
- $w_t^h$ : initial wealth endowed
- $\lambda$ portion of households that can only invest in riskless $(1-\lambda)$ of households can invest in both riskless and risky.
Edit 1 :--------------------
I think it would also help to see how the consumption and saving decision is solved. I would appreciate it if someone could do this.
For me, the biggest problem here is that I don't know the budget constraint -- I need to "guess" it based on how the decision making process is described in the paper. I always thought it was strange that in economics they are sometimes not completely explicit about the optimization problem they solve (i.e. not tell you some of the constraints), when there could (potentially) be multiple ways to write the problem.
Solving for consumption:
Anyway, here's what I have so far, and I seem to have found one way (again, I have absolutely no idea if this is how the authors do it) to derive the consumption rule.
Start with
$$\rho\delta\ln c_{t}^{h}+\left(1-\rho\delta\right)E_{t}\left[\ln w_{t+\delta}^{h}\right]$$
Add $-\left(1-\rho\delta\right)\ln w_{t}^{h}$ to the objective function. We can do this because we can add constants to utility functions without affecting the optimal decisions:
$$ \rho\delta\ln c_{t}^{h}+\left(1-\rho\delta\right)E_{t}\left[\ln w_{t+\delta}^{h}-\ln w_{t}^{h}\right] $$
Divide by $\delta$. Again this is a monotonic transformation, and thus a valid change to the objective function:
\begin{align} & \rho\delta\ln c_{t}^{h}+\left(1-\rho\delta\right)E_{t}\left[\ln w_{t+\delta}^{h}-\ln w_{t}^{h}\right] \\ \implies & \rho\ln c_{t}^{h}+\left(1-\rho\delta\right)E_{t}\left[\frac{\ln w_{t+\delta}^{h}-\ln w_{t}^{h}}{w_{t+\delta}^{h}-w_{t}^{h}}\frac{w_{t+\delta}^{h}-w_{t}^{h}}{\left(t+\delta\right)-t}\right] \end{align}
Take limits as $\delta\rightarrow0$:
$$ \rho\ln c_{t}^{h}dt+E_{t}\left[\frac{\partial}{\partial w_{t}^{h}}\left(\ln w_{t}^{h}\right)dw_{t}^{h}\right] = \rho\ln c_{t}^{h}dt+E_{t}\left[\frac{dw_{t}^{h}}{w_{t}^{h}}\right] $$
This next step is sort of cheating, but by Equation (11), we know that $$ \frac{dw_{t}^{h}}{w_{t}^{h}}=\left(\frac{lD_{t}-c_{t}^{h}}{w_{t}^{h}}\right)dt+\lambda r_{t}dt+\left(1-\lambda\right)\left[\alpha_{t}^{h}\tilde{dR}_{t}+\left(1-\alpha_{t}^{h}\right)r_{t}dt\right] $$ Take expectations: \begin{align} E_{t}\left[\frac{dw_{t}^{h}}{w_{t}^{h}}\right] & = E_{t}\left[\left(\frac{lD_{t}-c_{t}^{h}}{w_{t}^{h}}\right)dt+\lambda r_{t}dt+\left(1-\lambda\right)\left[\alpha_{t}^{h}\tilde{dR}_{t}+\left(1-\alpha_{t}^{h}\right)r_{t}dt\right]\right] \\ & =\left(\frac{lD_{t}-c_{t}^{h}}{w_{t}^{h}}\right)dt+\lambda r_{t}dt+\left(1-\lambda\right)E_{t}\left[\alpha_{t}^{h}\tilde{dR}_{t}+\left(1-\alpha_{t}^{h}\right)r_{t}dt\right] \\ & =\left(\frac{lD_{t}-c_{t}^{h}}{w_{t}^{h}}\right)dt+\lambda r_{t}dt+\left(1-\lambda\right)E_{t}\left[r_{t}dt+\alpha_{t}^{h}\left(\tilde{dR}_{t}-r_{t}dt\right)\right] \\ & =\left(\frac{lD_{t}-c_{t}^{h}}{w_{t}^{h}}\right)dt+r_{t}dt+\left(1-\lambda\right)E_{t}\left[\alpha_{t}^{h}\left(\tilde{dR}_{t}-r_{t}dt\right)\right] \\ & =\left(\frac{lD_{t}-c_{t}^{h}+w_{t}^{h}r_{t}}{w_{t}^{h}}\right)dt+\left(1-\lambda\right)E_{t}\left[\alpha_{t}^{h}\left(\tilde{dR}_{t}-r_{t}dt\right)\right] \end{align}
Rearranging the following first order condition gives the consumption rule $ c_t^h = \rho w_t^h $ given as Equation (9) in the paper:
$$ \frac{\rho}{c_t^h} -(1/w_t^h) =0$$
Investment:
In light of the current answer (and equation 10), however, the above is incorrect because it gives the "wrong" investment allocation. This is where I am stuck. At this point, my derivation seems wrong, but it seems strange that they will just assume a separate objective function just for the choice variable $\alpha_t^h$ without some other background justification. But of course, I could be absolutely wrong.
Edit 2 :--------------------
Could you provide the constraint(s) (in mathematical formula) for the optimization problem in equation (8)? I believe I can do the rest.