Epstein–Zin Utility and Its Relationship to CRRA Preferences
Summary
The document addresses an apparent mismatch between CRRA and Epstein–Zin utility in a two-period consumption problem. In the final period, the stated Epstein–Zin value function is linear in remaining wealth, whereas the CRRA value function appears curved. This raises the question of how Epstein–Zin preferences can reduce to CRRA when the elasticity of intertemporal substitution is the reciprocal of risk aversion.
The answer explains that value functions can be transformed monotonically without changing the ranking of policies they induce. It rewrites the CRRA value function in a transformed form and shows that, under the parameter restriction linking risk aversion and intertemporal substitution, a rescaled Epstein–Zin recursion has the same mathematical form as the CRRA recursion. Thus, comparing the curvature of differently normalized value functions can be misleading. The explanation is conceptual and algebraic; it does not work through a full numerical optimization or address broader model assumptions.
Key ideas
- Value functions related by monotone transformations can represent the same preference ordering.
- The apparent difference in curvature can result from comparing differently normalized value functions.
- When risk aversion equals the reciprocal of the elasticity of intertemporal substitution, Epstein–Zin preferences reduce to CRRA in a transformed recursion.
- A value function’s shape alone does not establish that the underlying policy preferences differ.
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# Epstein-Zin utility intuition
# Epstein-Zin utility intuition
I working a lot with Epstein-Zin utility (standard in asset pricing models). But I am having some issues wrapping my head around some intuition for how this utility function works.
Let's think about a standard problem of maximization of utility of a consumer who lives two periods. The agent is endowed with wealth of $w_1$ in period 1, and receives an income of $y_2$ in period. His savings for period 2 are given by $w_2$. The risk-free rate is $r_f$.
$$max_{c_t} u(c_t)$$
subject to: $w_2 = (w_1 - c_1)(1+r_f) + y_1$.
Now assume two utility functions:
- the value function with CRRA utility: $$ V_t = \frac{C_t^{1-\gamma}}{1-\gamma} + \beta E_t[V_{t+1}]$$
- Epstein-zin utility: $$ V_t = \bigg \{(1-\beta) C_t^{1-1/\psi}+\beta E_t[V_{t+1}^{1-\gamma}]^{\frac{1-1/\psi}{1-\gamma}} \bigg \}^{\frac{1}{1-1/\psi}} $$
Now here's my confusion. Let say I start solving this model by backward induction as is standard in the literature. On the last period of life ($t=2$) agents just consume all wealth available to them ($w^2$).
- The utility function under the CRRA case takes the shape (on the last period): $$V_2 = \frac{w_2^{1-\gamma}}{1-\gamma}$$
- The utility function under the EZ case takes the shape (on the last period): $$V_2 = (1-\beta)^{\frac{1}{1-1/\psi}} w_2$$
So in some sense in the first case the utility function is concave in wealth whereas on the latter case it is linear in wealth. So they have dramatically different shapes. This is even more puzzling if one thinks that if we set $\psi$ (the elasticity of intertemporal substitution) to be $\frac{1}{\gamma}$, the EZ utility should collapse to the CRRA case.
What am I missing?
## Answer by fes (score 1, accepted)
https://quant.stackexchange.com/a/69880
While the concavity of a felicity function $u$ affects choices a value function is not unique up to monotone transformations. It is an ordinal and not a cardinal concept. Consider your CRRA equation
$$V_t=\frac{C_t^{1-\gamma}}{1-\gamma}+\beta\mathbb{E}_t[V_{t+1}]$$
$$\Leftrightarrow V_t^{\frac{1}{1-\gamma}}=\left(\frac{C_t^{1-\gamma}}{1-\gamma}+\beta\mathbb{E}_t[V_{t+1}]\right)^{\frac{1}{1-\gamma}}$$
Setting $\tilde{V}_t=V_t^{\frac{1}{1-\gamma}}$
$$\tilde{V}_t=\left(\frac{C_t^{1-\gamma}}{1-\gamma}+\beta\mathbb{E}_t[\tilde{V}_{t+1}^{1-\gamma}]\right)^{\frac{1}{1-\gamma}}$$
Now $\tilde{V}_2$ is also linear but the equation defines the same ranking towards different policies than the original equation.
As you mentioned, EZ corresponds to CRRA in the special case $\gamma=\frac{1}{\psi}$. Plugging in
$$ V_t = \bigg \{(1-\beta) C_t^{1-\gamma}+\beta E_t[V_{t+1}^{1-\gamma}] \bigg \}^{\frac{1}{1-\gamma}} $$
Now at first sight this might look like different preferences than your standard CRRA specification. But let us rewrite the problem:
$$ V_t^{1-\gamma} = \bigg \{(1-\beta) C_t^{1-\gamma}+\beta E_t[V_{t+1}^{1-\gamma}] \bigg \}$$
or
$$ V_t^{1-\gamma}(1-\beta)^{-1}(1-\gamma)^{-1} = \bigg \{ \frac{C_t^{1-\gamma}}{1-\gamma}+\beta E_t[V_{t+1}^{1-\gamma}(1-\beta)^{-1}(1-\gamma)^{-1}] \bigg \}$$
Define $\hat{V}_t= V_t^{1-\gamma}(1-\beta)^{-1}(1-\gamma)^{-1}$. You get
$$ \hat{V}_t = \bigg \{ \frac{C_t^{1-\gamma}}{1-\gamma}+\beta E_t[\hat{V}_{t+1}] \bigg \}$$
Which has exactly the same mathematical form as your CRRA problem. From this you should realize that this is just your original CRRA problem but written in a slightly different way.Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.