Econ 310 Microeconomic Theory II Solutions to Assignment 1 Solution 1 (a) There are two ways to solve this problem. The student gets full credit by pursuing EITHER one of the following two methods: Method 1: Directly solving the maximization problem using the Lagrangean method. The consumer’s problem is: max 2 ln x1 + ln x2 x1 ;x2 s:t: p1 x1 + p2 x2 y: By non-satiation, the constraint holds with equality. First, set up the Lagrangian: L = 2 ln x1 + ln x2 + (y p 1 x1 p2 x 2 ) : The …rst-order conditions are: 2 @L = @x1 x1 1 @L = @x2 x2 @L = y @ Equations (1) and (2) yield using (3): 2 =1 x1 x2 = p1 . p2 p1 = 0 (1) p2 = 0 (2) p 1 x1 (3) p2 x 2 = 0 Therefore, x2 = p1 x. 2p2 1 Then we can solve for x1 p1 x1 = y 2p2 1 p 1 x1 + p 1 x1 = y 2 p 1 x1 + p 2 ) Denote p = (p1 ; p2 ; p3 ). The Marshallian demand functions are: x1 (p; y) = y 2y ; x2 (p; y) = : 3p1 3p2 Substituting the Marshallians into the utility function, we get the indirect utility function: v (p; y) = 2 ln 2y 3p1 + ln = 2 ln 2 + 2 ln y = 2 ln 2 + 3 ln y 1 y 3p2 2 ln 3p1 + ln y ln 3p2 2 ln 3p1 ln 3p2 (4) Method 2: Notice that the utility function is just a log transformation of the CobbDouglas utility function: 2=3 1=3 2 ln x1 + ln x2 = ln x21 x2 = ln x1 x2 3 2=3 1=3 = 3 ln x1 x2 : Since the log function is a strictly increasing function, maximizing the value of 2 ln x1 +ln x2 2=3 1=3 is equivalent to maximizing x1 x2 . Thus one can directly write down the Marshallian demand functions for the Cobb-Douglas utility function: x1 (p; y) = y 2y ; x2 (p; y) = : 3p1 3p2 Similarly, the indirect utility function is given by (4). (b) Given v (p; y) from (a), derive the expenditure function from duality: v (p; e (p; u)) = u ) 2 ln 2 + 3 ln e (p; u) 2 ln 3p1 u + 2 ln 3p1 + ln 3p2 ) 3 ln 3p2 = u 2 ln 2 = ln e (p; u) Therefore, the expenditure function is e (p; u) = exp u + 2 ln 3p1 + ln 3p2 3 2 ln 2 : From Shephard’s lemma, the Hicksian demand functions are: xh1 (p; u) = @e (p; u) 2 = exp @p1 3p1 u + 2 ln 3p1 + ln 3p2 3 2 ln 2 : (c) Consider any t > 0. Then, v (tp; ty) = 2 ln 2 + 3 ln ty 2 ln 3tp1 = 2 ln 2 + 3 (ln t + ln y) = 2 ln 2 + 3 ln y 2 ln 3p1 2 ln 3tp2 2 (ln t + ln 3p1 ) (ln t + ln 3p2 ) ln 3p2 = v (p; y) ; and xh1 (tp; u) = = = = = u + 2 ln 3tp1 + ln 3tp2 2 ln 2 2 exp 3tp1 3 2 u + 2 (ln 3p1 + ln t) + (ln 3p2 + ln t) exp 3tp1 3 2 u + 2 ln 3p1 + ln 3p2 2 ln 2 exp + ln t 3tp1 3 2 u + 2 ln 3p1 + ln 3p2 2 ln 2 exp 3p1 3 xh1 (p; u) : 2 ln 2 Solution 2 (a) The consumer’s cost-minimization problem is: min p 1 x1 + p 2 x2 p p s:t: x1 + 2 x 2 x1 ;x2 u: Since the utility function is strictly increasing, the constraint must hold with equality at the optimum. The Lagrangian is: p p ( x1 + 2 x2 L = p 1 x1 + p 2 x2 u) : The …rst-order conditions are: 1 @L 1=2 = p1 x1 =0 @x1 2 @L 1 1=2 = p2 2 x2 =0 @x2 2 p p @L x1 + 2 x2 u = 0 = @ By (5) and (6), we get x2 = functions: ) 2p1 p2 (5) (6) (7) 2 x1 . Substitute it into (7) and solve for Hicksian demand p 2p1 p x1 + 2 x1 u = 0 p2 2 p2 u xh1 (p1 ; p2 ; u) = ; xh2 (p1 ; p2 ; u) = 4p1 + p2 3 2p1 u 4p1 + p2 2 : Hence, the expenditure function: e (p1 ; p2 ; u) = p1 p2 u 4p1 + p2 2 + p2 2p1 u 4p1 + p2 2 = p1 p 2 u2 : 4p1 + p2 (b) Derive the indirect utility function using duality: e (p1 ; p2 ; v (p1 ; p2 ; y)) = y p1 p2 [v (p1 ; p2 ; y)]2 = y 4p1 + p2 ) v (p1 ; p2 ; y) = s (4p1 + p2 ) y : p1 p2 Solution 3 (a) The utility-maximization problem is given by max fmin [ x1 ;x2 s:t: p p 3 x1 ; a 3 x2 ]g p1 x1 + p2 x2 = y; where the constraint holds with equality because of non-satiation. Consider the following two cases: p p (i) Suppose 3 x1 a 3 x2 at the optimum. Then the maximization problem becomes p max a 3 x2 x1 ;x2 s:t: p1 x1 + p2 x2 = y: p Obviously it comes down to maximizing the value of x2 . Given the supposition 3 x1 p p p a 3 x2 , it must be the case that 3 x1 = a 3 x2 . p p a 3 x2 at the optimum. Then the maximization problem (ii) Now suppose 3 x1 becomes p max 3 x1 s:t: p1 x1 + p2 x2 = y: x1 ;x2 p Obviously it comes down to maximizing the value of x1 . Given the supposition 3 x1 p p p a 3 x2 , again it must be the case that 3 x1 = a 3 x2 . p p Therefore, it must be true that 3 x1 = a 3 x2 at the optimum. Then the budget constraint becomes p1 a3 x2 + p2 x2 = y: Thus, x1 (p1 ; p2 ; y) = a3 y ; a3 p 1 + p 2 x2 (p1 ; p2 ; y) = a3 p y : 1 + p2 (8) Given a > 0, obviously the Marshallian demand strictly decreases with price. Moreover, 4 both demand functions increase with income y. They are indeed normal goods. (b) There are three ways to derive the Hicksian demand. [A student gets full credit for presenting ANY one of the following methods.] Method 1: Given the utility function, set up the cost-minimization problem directly: min p1 x1 + p2 x2 s:t: x1 ;x2 min [ p p 3 x1 ; a 3 x2 ] = u; where the constraint holds with equality because the objective function is strictly increasing. p p p p Again, we can consider the two cases where 3 x1 a 3 x2 and 3 x1 a 3 x2 at the optimum. p p By the same logic as in part (a), it must be true that 3 x1 = a 3 x2 . Then the Hicksian p p demands can be solved from 3 x1 = a 3 x2 = u: xh1 (p1 ; p2 ; u) = u3 ; xh2 (p1 ; p2 ; u) = u a 3 : Obviously, here the Hicksian demand is not a¤ected by any of the prices. Method 2: Given the Marshallians in (8), the indirect utility function is v (p1 ; p2 ; y) = p 3 r p 3 x1 (p1 ; p2 ; y) = a x2 (p1 ; p2 ; y) = a 3 a3 p y : 1 + p2 Recall one of the dualities v (p; e (p; u)) = u; which implies s a3 e (p1 ; p2 ; u) = u: a3 p 1 + p 2 We use this to solve for the expenditure function: e (p1 ; p2 ; u) = u a 3 a3 p 1 + p 2 : (9) Then by Shephard’s lemma, xh1 (p1 ; p2 ; u) = @e (p1 ; p2 ; u) = u3 @p1 xh2 (p1 ; p2 ; u) = and @e (p1 ; p2 ; u) u = @p2 a 3 : Method 3: Similarly to the …rst part of Method 2, we can derive the expenditure function (9). Recall one of the dualities, we have xhi (p; u) = xi (p; e (p; u)). Given that we have the Marshallian demand functions from part (a) and also the expenditure function, this duality 5 implies xh1 (p1 ; p2 ; u) = a3 a3 e (p1 ; p2 ; u) = a3 p 1 + p 2 xh2 (p1 ; p2 ; u) = a2 a2 e (p1 ; p2 ; u) = p 1 + p 2 a2 6 u 3 (a3 p1 + p2 ) a a3 p 1 + p 2 u 2 (p1 + p2 a2 ) a p 1 + p 2 a2 = u3 = u a 3 :
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