--- tags: micro, lecture_note --- # Utility ## The Utility Maximization Problem Suppose the consumer has a rational, continuous, and locally nonsatiated preference relation over $\mathbb{R}^n_+$, and $u(\cdot)$ is a continuous utility function representing her preference. Given price vector $p \gg 0$ and wealth $w>0$, the consumer's problem of choosing her most preferred consumption bundle is the following **utility maximization problem (UMP)**: $$\max_{x \ge 0} u(x) \\ \text{such that } p \cdot x \le w$$ ### Existence of Solution If $p \gg 0$ and $u(x)$ is continuous, then there exists a solution for the utility maximization problem. **proof** If $p \gg 0$, then the budget set $B_{p,w} = \{x \in \mathbb{R}^n_+ | p \cdot x \le w\}$ is compact since its closed and bounded. As $u(\cdot)$ is continuous, we can apply Weierstrass's theorem. ### F.O.C. If $u(\cdot)$ is differentiable, then the solution $x^* \in x(p,w)$ of UMP must satisfied following necessary conditions: $$ \frac{\partial u(x^*)}{\partial x_i} \le \lambda p_i, i = 1,...,n, \text{with equality if } x_i^* > 0$$ Where $\lambda \ge 0$ is the Largrange multiplier. The same condition in matrix notation, $$ \nabla u(x^*) \le \lambda p \text{ and } x^* \cdot [\nabla u(z^*) - \lambda p] = 0$$ ## The Walrasian Demand Correspondence/Function We define the set $x(p,w)$ as the optimal consumption vectors in the UMP under the price-wealth pair. Because there may be more than one optimal vector a pair of $(p,w)$, we call $x(p,w)$ a Walrasian demand correspondence. When $x(p,w)$ is single-valued for all $(p,w)$, we call it Walrasian demand function. ### Properties Suppose that $u(\cdot)$ is a continuous utility function representing a locally nonsatiated preference realtion $\succeq$ on $\mathbb{R}^n_+$, then the Walrasian demand correspondence $x(p,w)$ has following properties: 1. Homogeneity of degree zero in $(p,w)$: $x(ap, aw)=x(p,w)$ for any scalar $a>0$. 2. Walras law: $p \cdot x = w$. 3. Convexity/Uniqueness: If $\succeq$ is convex, then $u(\cdot)$ is quasiconcave and $x(p,w)$ is a convex set. If $\succeq$ is strictly convex, then $u(\cdot)$ is strictly quasiconcave and $x(p,w)$ is single-valued. ### Explanations 1. H.D.0 in $(p,w)$ is an obvious result since the budget set does not change. 2. If the point is not on the budget hyperplane $\{x \in \mathbb{R}^n| p \cdot x = w\}$, the consumer can always find a better point in the budget set. 3. The quasiconvaity of $u(\cdot)$ just follows the definition. If $x$ and $x'$ are two points in $x(p,w)$, then $x'' = ax + (1-a)x, a \in (0,1)$ is also in the buget set $B_{p,w}$. Since $\succeq$ is convex, $x''$ could not worse than $x$ and $x'' \in x(p,w)$. If $\succeq$ is strictly convex and there are two points $x$ and $x'$ in $x(p,w)$, then $x'' = ax + (1-a)x, a \in (0,1)$ is better than $x$ and $x'$. This result contracdicts the definition of $x(p,w)$, so $x(p,w)$ must be single-valued. ### Cournot and Engel Aggregation Given Walras law, we can derive two equations. #### Cournot Aggregation Differentiating $p\cdot x(p, w) = w$ with respect to $p_k$, we can get $$\sum_{i=1}^n p_i \frac{\partial x_i(p,w)}{\partial p_k} +x_k(p,w) = 0$$ Multiplying above equation by $\frac{p_k}{w}$, it becomes $$ \sum_{i=1}^n \frac{p_k}{w} p_i \frac{\partial x_i(p,w)}{\partial p_k} +\frac{p_k}{w} x_k(p,w) $$ Multiplyin the first term with $\frac{x_i}{x_i}=1$ and rearrange, \begin{align*} &= \sum_{i=1}^n \frac{p_i x_i}{w} \frac{\partial x_i(p,w)}{\partial p_k}\frac{p_k}{x_i} +x_k(p,w)\frac{p_k}{w}\\ &= \sum_{i=1}^n B_i(p,w) \varepsilon_{ik} + B_k(p,w) = 0, \end{align*} where $B_i(p,w)$ is the budget share spended on good $i$ and $\varepsilon_{ik}$ is the price elasticity between good $i$ and good $k$. This equation is called the **Cournot Aggregation**. #### Engel Aggregation Differentiating $p\cdot x(p, w) = w$ with respect to $w$, we will get $$\sum_{i=1}^n p_i \frac{\partial x_i(p,w)}{\partial w} = 1$$ Multiplying each term with $\frac{w x_i}{w x_i}$, it becomes \begin{align*} &\sum_{i=1}^n p_i \frac{\partial x_i(p,w)}{\partial w} \frac{w x_i}{w x_i}\\ &=\sum_{i=1}^n \frac{p_i x_i}{w}\frac{\partial x_i(p,w)}{\partial w} \frac{w}{x_i}\\ &= \sum_{i=1}^n B_i(p,w) \varepsilon_{iw}=1, \end{align*} where $\varepsilon_{iw}$ is the income elasticity of good $i$. This equation is called the **Engel Aggregation**. ## The Indirect Utility Function If we can find the optimal $x(p,w)$ in the UMP, we can define the indirect utility function $$v(p,w) = u(x(p,w))$$, which is the value function of the utility maximazation problem. ### Properties Suppose that $u(\cdot)$ is a continuous utility function representing a locally nonsatiated preference realtion $\succeq$ on $\mathbb{R}^n_+$, then the indirect utility function $v(p,w)$ has following properties: 1. Homogeneous of degree zero in $(p,w)$. 2. Strictly increasing in $w$ and non-increasing in $p_i$ for any $i$. 3. Quasiconvex in $(p,w)$: the set $\{(p,w) | v(p,w) \le \bar{v}\}$ is convex for any $\bar{v}$. 4. Continuous in $p$ and $w$. ### Explanations 1. H.D.0 in $(p,w)$ is an obvious result since the budget set does not change. 2. Following the change of budget set. 3. Suppose that $v(p,w) \le \bar{v}$ and $v(p',w') \le \bar{v}$. For any $a \in [0,1]$, let $p'' = ap + (1-a)p'$ and $w'' = a w + (1-a) w'$. The budget set $B_{p'',w''} = \{x \in \mathbb{R}^n_+ | p'' \cdot x \le w''\}$ is the subset of $B_{p,w} + B_{p',w'}$ since $$ap \cdot x + (1-a) p' \cdot x \le a w + (1-a) w'$$ hence $v(p'',w'') \le \bar{v}$ and $v(p,w)$ is quasiconvex in $(p,w)$. 4. Who knows? ## Roy's Identity $$x(p,w) = - \frac{\nabla_p v(p,w)}{\nabla_w v(p,w)}$$ **Proof** $$v(p,w) = u(x(p,w))$$ $$\nabla_p v(p,w) = \nabla_p (u(x(p,w))) = D_x u(\cdot) D_p x(p,w)$$ $$\nabla_w v(p,w) = \nabla_w (u(x(p,w))) = D_x u(\cdot) D_w x(p,w)$$ Since $x$ is the optimal solution, we can apply the envelope theorem, $$D_p x(p,w) = -\lambda x$$ $$D_w x(p,w) = \lambda$$ as the desired result. This complicated form is connected to the invariant property of the ordinal utility function. Since the optimal solution will not change under different utility/indirect utility functions based on the same preference, we must normalize it.