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This document describe a class of linear models that determine competitive equilibrium prices and quantities.
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This lecture is about some linear models of equilibrium prices and quantities, one of the main topics
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of elementary microeconomics.
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The main tools that we deploy are linear algebra, multivariable calculus, and Python.
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Our approach is first to offer a scalar version with one good and one price.
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Then we'll offer a more general version with
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* $n$ goods
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* $n$ relative prices
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We offer several interpretations of the $n$ goods that will allow us eventually to model settings with
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dynamics (i.e., the passage of time) and risk (i.e., the dependence of outcomes on random events).
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We'll offer versions of
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* pure exchange economies with fixed endowments of goods
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* economies in which goods can be produced a cost
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Linear algebra and some multivariable calculus are the tools deployed.
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Versions of the two classic welfare theorems prevail.
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We shall eventually describe two classic welfare theorems:
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***first welfare theorem:** for a given a distribution of wealth among consumers, a competitive equilibrium allocation of goods solves a particular social planning problem.
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***first welfare theorem:** for a given a distribution of wealth among consumers, a competitive equilibrium allocation of goods solves a social planning problem.
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***second welfare theorem:** An allocation of goods among consumers that solves a social planning problem can be supported by a compeitive equilibrium provided that wealth is appropriately distributed among consumers.
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***second welfare theorem:** An allocation of goods to consumers that solves a social planning problem can be supported by a compeitive equilibrium with an appropriate initial distribution of wealth.
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Key infrastructure concepts are
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Key infrastructure concepts that we'll encounter in this lecture are
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* inverse demand curves
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* marginal utility of wealth or money
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* marginal utilities of wealth
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* inverse supply curves
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* consumer surplus
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* producer surplus
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* welfare maximization
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*social welfare as a sum of consumer and producer surpluses
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* competitive equilibrium
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* homogeneity of degree zero of
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* demand functions
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* supply function
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* dynamics as a special case
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* risk as a special case
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Our approach is first to offer a
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* scalar version with one good and one price
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Then we'll offer a version with
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* $n$ goods
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* $n$ prices or relative prices
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We'll offer versions of
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* pure exchange economies with fixed endowments of goods
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* economies in which goods can be produced a cost
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* dynamics as a special case of statics
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* risk as a special case of statics
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### Scalar setting
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We study a market for a single good.
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We study a market for a single good in which buyers and sellers exchange a quantity $q$ for a price $p$.
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The quantity is $q$ and price is $p$, both scalars.
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quantity $q$ and price $p$ are both scalars.
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Inverse demand and supply curves are:
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We assume that inverse demand and supply curves for the good are:
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$$
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p = d_0 - d_1 q, \quad d_0, d_1 > 0
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p = s_0 + s_1 q , \quad s_0, s_1 > 0
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$$
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**Consumer surplus** equals area under an inverse demand curve minus $p q$:
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We call them inverse demand and supply curves because price is on the left side of the equation rather than on the right side as it would be in a direct demand or supply function.
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We define **consumer surplus** as the area under an inverse demand curve minus $p q$:
To compute the quantity that maximizes welfare criterion $\textrm{Welf}$, we differentiate $\textrm{Welf}$ with respect to $q$ and set the derivative to zero.
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To compute a quantity that maximizes welfare criterion $\textrm{Welf}$, we differentiate $\textrm{Welf}$ with respect to $q$ and then set the derivative to zero.
A competitive equilibrium quantity equates demand price to supply price:
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Let's remember the quantity $q$ given by equation {eq}`eq:old`} that a social planner would choose
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to maximize consumer plus producer surplus.
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We'll compare it to the quantity that emerges in a competitive equilibrium equilibrium that equates
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supply to demand.
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Instead of equating quantities supplied and demanded, we'll can accomplish the same thing by equating demand price to supply price:
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$$
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p = d_0 - d_1 q = s_0 + s_1 q ,
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$$
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which implies {eq}`eq:old1`.
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It we solve the equation defined by the second equality in the above line for $q$, we obtain the
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competitive equilibrium quantity; it equals the same $q$ given by equation {eq}`eq:old1`.
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The outcome that the quantity determined by equation {eq}`eq:old1` equates
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supply to demand brings us the following important **key finding:**
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supply to demand brings us a **key finding:**
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* a competitive equilibrium quantity maximizes our welfare criterion
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It also brings us a convenient **competitive equilibrium computation strategy:**
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It also brings a useful **competitive equilibrium computation strategy:**
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* after solving the welfare problem for an optimal quantity, we can read a competive equilibrium price from either supply price or demand price at the competitive equilibrium quantity
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Soon we'll derive generalizations of the above demand and supply
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curves from other objects.
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We'll derive the **demand curve** from a problem that maximizes a **utility function** subject to a **budget constraint**.
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Our generalizations will extend the preceding analysis of a market for a single good to the analysis
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of $n$ simulataneous markets in $n$ goods.
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In addition
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We'll derive the **supply curve** from a **cost function**.
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* we'll derive **demand curves** from a consumer problem that maximizes a **utility function** subject to a **budget constraint**.
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* we'll derive **supply curves** from the problem of a producer who is price taker and maximizes his profits minus total costs that are described by a **cost function**.
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# Multiple goods
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We study a setting with $n$ goods and $n$ corresponding prices.
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## Formulas from linear algebra
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We apply formulas from linear algebra for
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We shall apply formulas from linear algebra that
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* differentiating an inner product
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* differentiating a product of a matrix and a vector
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* differentiating a quadratic form
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* differentiate an inner product with respect to each vector
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* differentiate a product of a matrix and a vector with respect to the vector
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* differentiate a quadratic form in a vector with respect to the vector
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Where $a$ is an $n \times 1$ vector, $A$ is an $n \times n$ matrix, and $x$ is an $n \times 1$ vector:
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We assume that $\Pi$ has an inverse $\Pi^{-1}$ and that $\Pi^\top \Pi$ is a positive definite matrix.
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It follows that $\Pi^\top \Pi$ has an inverse.
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* it follows that $\Pi^\top \Pi$ has an inverse.
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The matrix $\Pi$ describes a consumer's willingness to substitute one good for another, for each pair of
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good in the $n \times 1$ vector $c$.
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The matrix $\Pi$ describes a consumer's willingness to substitute one good for every other good.
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In particular, we shall see below that $(\Pi^T \Pi)^{-1}$ is a matrix of slopes of (compensated) demand curves for $c$ with respect to a vector of prices:
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We shall see below that $(\Pi^T \Pi)^{-1}$ is a matrix of slopes of (compensated) demand curves for $c$ with respect to a vector of prices:
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$$
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{\partial c } {\partial p} = (\Pi^T \Pi)^{-1}
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\frac{\partial c } {\partial p} = (\Pi^T \Pi)^{-1}
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$$
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A consumer faces $p$ as a price taker and chooses $c$ to maximize the utility function
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so that utility function {eq}`eq:old2` tells us that the consumer has much less of each good than he wants.
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Condition {eq}`eq:bversusc` will ultimately assure us that competitive equilibrium prices are all positive.
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## Digression: Marshallian and Hicksian Demand Curves
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**Remark:** We'll use budget constraint {eq}`eq:old2` in situations in which a consumers's endowment vector $e$ is his **only** source of income. But sometimes we'll instead assume that the consumer has other sources of income (positive or negative) and write his budget constraint as
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$$
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p ^\top (c -e ) = W
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$$ (eq:old2p)
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where $W$ is measured in "dollars" (or some other **numeraire**) and component $p_i$ of the price vector is measured in dollars per good $i$.
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Whether the consumer's budget constraint is {eq}`eq:old2` or {eq}`eq:old2p` and whether we take $W$ as a free parameter or instead as an endogenous variable to be solved for will affect the consumer's marginal utility of wealth.
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How we set $\mu$ determines whether we are constucting
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* a **Marshallian** demand curve, when we use {eq}`eq:old2` and solve for $\mu$ using equation {eq}`eq:old4` below, or
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* a **Hicksian** demand curve, when we treat $\mu$ as a fixed parameter and solve for $W$ from {eq}`eq:old2p`.
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Marshallian and Hicksian demand curves describe different mental experiments:
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* For a Marshallian demand curve, hypothetical price vector changes produce changes in quantities determined that have both **substitution** and **income** effects
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* income effects are consequences of changes in $p^\top e$ associated with the change in the price vector
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* For a Hicksian demand curve, hypothetical price vector changes produce changes in quantities determined that have only **substitution** effects
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* changes in the price vector leave the $p^\top e + W$ unaltered because we freeze $\mu$ and solve for $W$
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Sometimes a Hicksian demand curve is called a **compensated** demand curve in order to emphasize that, to disarm the income (or wealth) effect associated with a price change, the consumer's wealth $W$ is adjusted.
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We'll discuss these distinct demand curves more below.
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Condition {eq}`eq:bversusc` will ultimately assure us that competitive equilibrium prices are positive.
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## Demand Curve Implied by Constrained Utility Maximization
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For now, we assume that the budget constraint is {eq}`eq:old2`.
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So we'll be deriving a **Marshallian** demand curve.
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So we'll be deriving what is known as a **Marshallian** demand curve.
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Form a Lagrangian
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**Remark:** Equation {eq}`eq:old4` is a consequence of imposing that $p^\top (c - e) = 0$. We could instead take $\mu$ as a parameter and use {eq}`eq:old3` and the budget constraint {eq}`eq:old2p` to solve for $W.$ Which way we proceed determines whether we are constructing a **Marshallian** or **Hicksian** demand curve.
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## Endowment economy, I
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We now study a pure-exchange economy, or what is sometimes called an endowment economy.
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**Exercise:** Verify that setting $\mu=2$ in {eq}`eq:old3` also implies that formula {eq}`eq:old4` is satisfied.
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## Digression: Marshallian and Hicksian Demand Curves
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**Remark:** Sometimes we'll use budget constraint {eq}`eq:old2` in situations in which a consumers's endowment vector $e$ is his **only** source of income. Other times we'll instead assume that the consumer has another source of income (positive or negative) and write his budget constraint as
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$$
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p ^\top (c -e ) = W
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$$ (eq:old2p)
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where $W$ is measured in "dollars" (or some other **numeraire**) and component $p_i$ of the price vector is measured in dollars per unit of good $i$.
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Whether the consumer's budget constraint is {eq}`eq:old2` or {eq}`eq:old2p` and whether we take $W$ as a free parameter or instead as an endogenous variable will affect the consumer's marginal utility of wealth.
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Consequently, how we set $\mu$ determines whether we are constucting
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* a **Marshallian** demand curve, as when we use {eq}`eq:old2` and solve for $\mu$ using equation {eq}`eq:old4` below, or
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* a **Hicksian** demand curve, as when we treat $\mu$ as a fixed parameter and solve for $W$ from {eq}`eq:old2p`.
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Marshallian and Hicksian demand curves contemplate different mental experiments:
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* For a Marshallian demand curve, hypothetical changes in a price vector have both **substitution** and **income** effects
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* income effects are consequences of changes in $p^\top e$ associated with the change in the price vector
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* For a Hicksian demand curve, hypothetical price vector changes have only **substitution** effects
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* changes in the price vector leave the $p^\top e + W$ unaltered because we freeze $\mu$ and solve for $W$
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Sometimes a Hicksian demand curve is called a **compensated** demand curve in order to emphasize that, to disarm the income (or wealth) effect associated with a price change, the consumer's wealth $W$ is adjusted.
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We'll discuss these distinct demand curves more below.
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## Endowment Economy, II
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Let's study a **pure exchange** economy without production.
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