The Cake-Eating problem: Non-linear sharing rules
|
|
- Charlotte Melton
- 5 years ago
- Views:
Transcription
1 The Cake-Eating problem: Non-linear sharing rules Eugenio Peluso 1 and Alain Trannoy 2 Conference In Honor of Louis Eeckhoudt June Department of Economics, University of Verona (Italy) 2 Aix-Marseille Schoolf of Economics, EHESS eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
2 Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
3 Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
4 eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
5 Outline of the talk 1 The model eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
6 Outline of the talk 1 The model 2 The stories eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
7 Outline of the talk 1 The model 2 The stories 3 The results Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
8 The Model A program P with identical utility n max a i v(x i ) x i=1 s.t. p 0 x = y. (1) v : R +! R strictly increasing and concave, satis es "Inada conditions" and is the same for each attribute; The goods are ranked such that the "kernel prices" p i a i are decreasing with i Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
9 The aim of the paper The FOC x i v 0 (xi ) v 0 (xj ) = p i a j p j a i = π ij 8i, j < x j i π ij > 1, i < j (2) Exploring integrability conditions How is the shape of the demand of the least demanded good related to the properties of the utility function? Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
10 Stories Individual wealth sharing: Arrow Debreu securities, Standard Portofolio (tax evasion n=2) eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
11 Stories Individual wealth sharing: Investor who allocates wealth over assets carrying di erent risk Arrow Debreu securities, Standard Portofolio (tax evasion n=2) eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
12 Stories Individual wealth sharing: Investor who allocates wealth over assets carrying di erent risk Arrow Debreu securities, Standard Portofolio (tax evasion n=2) Consumer choosing a consumption plan over n periods eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
13 Stories Individual wealth sharing: Investor who allocates wealth over assets carrying di erent risk Arrow Debreu securities, Standard Portofolio (tax evasion n=2) Consumer choosing a consumption plan over n periods Individual deciding her optimal insurance coverage (n=2) eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
14 Stories Individual wealth sharing: Investor who allocates wealth over assets carrying di erent risk Arrow Debreu securities, Standard Portofolio (tax evasion n=2) Consumer choosing a consumption plan over n periods Individual deciding her optimal insurance coverage (n=2) Group sharing problem(same utility but unequal weights) eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
15 Stories Individual wealth sharing: Investor who allocates wealth over assets carrying di erent risk Arrow Debreu securities, Standard Portofolio (tax evasion n=2) Consumer choosing a consumption plan over n periods Individual deciding her optimal insurance coverage (n=2) Group sharing problem(same utility but unequal weights) Household sharing a given wealth among its members eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
16 Stories Individual wealth sharing: Investor who allocates wealth over assets carrying di erent risk Arrow Debreu securities, Standard Portofolio (tax evasion n=2) Consumer choosing a consumption plan over n periods Individual deciding her optimal insurance coverage (n=2) Group sharing problem(same utility but unequal weights) Household sharing a given wealth among its members Group sharing risks eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
17 Applications to individual decision-making 1- Arrow Debreu contingency claims eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
18 Applications to individual decision-making 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
19 Applications to individual decision-making 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
20 Applications to individual decision-making 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x 1 (y, p; a) = demand of the contingent claim with "kernel price" p 1 a. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
21 Applications to individual decision-making 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x 1 (y, p; a) = demand of the contingent claim with "kernel price" p 1 a. 2- Intertemporal consumption choice eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
22 Applications to individual decision-making 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x 1 (y, p; a) = demand of the contingent claim with "kernel price" p 1 a. 2- Intertemporal consumption choice Ingredients: Initial wealth y, interest rate r, intertemporal separable utility v(x 1 ) + βv(x 2 ) with discount factor β 1. Then eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
23 Applications to individual decision-making 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x 1 (y, p; a) = demand of the contingent claim with "kernel price" p 1 a. 2- Intertemporal consumption choice Ingredients: Initial wealth y, interest rate r, intertemporal separable utility v(x 1 ) + βv(x 2 ) with discount factor β 1. Then time weights prices 1 a = 1 1+β a = β 1+β 1 1+r. Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
24 Group decision-making Intra-household allocation: No prices, Samuelson s household welfare function. max av(x 1 ) + (1 a)v(x 2 ) x 1,x 2 s.t. p 1 x 1 + p 2 x 2 = y eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
25 Group decision-making Intra-household allocation: No prices, Samuelson s household welfare function. max av(x 1 ) + (1 a)v(x 2 ) x 1,x 2 s.t. p 1 x 1 + p 2 x 2 = y Risk-sharing: θ 2 Θ states of the world, risk: F : Θ! [0, 1],while v(x) are the identical vnm utility of the two individuals. Z Z max a v(x 1 (θ))df (θ) + (1 a) v(x 2 (θ))df (θ), with a 2 (0, 1 x 1,x 2 2 ] Θ s.t. z 1 (θ) + z 2 (θ) = y(θ) = x 1 (θ) + x 2 (θ), 8θ 2 Θ; x 1 0; x 2 0. Θ eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
26 Group decision-making Intra-household allocation: No prices, Samuelson s household welfare function. max av(x 1 ) + (1 a)v(x 2 ) x 1,x 2 s.t. p 1 x 1 + p 2 x 2 = y Risk-sharing: θ 2 Θ states of the world, risk: F : Θ! [0, 1],while v(x) are the identical vnm utility of the two individuals. Z Z max a v(x 1 (θ))df (θ) + (1 a) v(x 2 (θ))df (θ), with a 2 (0, 1 x 1,x 2 2 ] Θ s.t. z 1 (θ) + z 2 (θ) = y(θ) = x 1 (θ) + x 2 (θ), 8θ 2 Θ; x 1 0; x 2 0. Borch (1960): the consumption in each state of the world only depends on the total wealth in that state. Wealth is not transferable from one state to another. Θ eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
27 Group decision-making Intra-household allocation: No prices, Samuelson s household welfare function. max av(x 1 ) + (1 a)v(x 2 ) x 1,x 2 s.t. p 1 x 1 + p 2 x 2 = y Risk-sharing: θ 2 Θ states of the world, risk: F : Θ! [0, 1],while v(x) are the identical vnm utility of the two individuals. Z Z max a v(x 1 (θ))df (θ) + (1 a) v(x 2 (θ))df (θ), with a 2 (0, 1 x 1,x 2 2 ] Θ s.t. z 1 (θ) + z 2 (θ) = y(θ) = x 1 (θ) + x 2 (θ), 8θ 2 Θ; x 1 0; x 2 0. Borch (1960): the consumption in each state of the world only depends on the total wealth in that state. Wealth is not transferable from one state to another. Solving the risk-sharing problem then reduces to solve the intra-household allocation for any feasible y. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26 Θ
28 Integrability conditions for any n (exposition for n=2). We normalize a = 1/2, p 1 = p > 1 and p 2 = 1.Then x1 (y, p, a) x(y, p). eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
29 Integrability conditions for any n (exposition for n=2). We normalize a = 1/2, p 1 = p > 1 and p 2 = 1.Then x1 (y, p, a) x(y, p). Let h(x, p) be the demand of good 2 as a function of good 1 and p. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
30 Integrability conditions for any n (exposition for n=2). We normalize a = 1/2, p 1 = p > 1 and p 2 = 1.Then x1 (y, p, a) x(y, p). Let h(x, p) be the demand of good 2 as a function of good 1 and p. h(x, p) = g(x, p) px, where g(x, p) is the inverse function of x(y, p) wrt y using the fact that the two goods are normal. Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
31 Integrability conditions Proposition A function x(y, π), strictly increasing with y and decreasing with p is a solution of program P for all y 2 R + and for all p > 1, i there exist a positive function A(x) such that: h x (x, p) = A(x)p (3) h p (x, p) Then A represents the Arrow-Pratt absolute risk aversion coe cient, that is v 0 (x) = exp Z x 0 A(s)ds. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
32 Integrability conditions: examples x1 1 (y, p) = 2p y γ, for γ < 1 does not satisfy the integrability conditions. If h(x, p) = (1 + x) p 1, we get h x p =. Then h is h p (1 + x) ln(1 + x) the solution of P with the log-integral utility function v(x) = Z x 0 1 ln(1+s) ds If h(x, p) = ln(1 + e x p) ln p, we get h x = ex h p 1 + e x p, solution of P under the linex utility function v(x) = x e x. Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
33 Integrability without prices The "group" case Group decision-making set-up: prices are xed (eventually equal to 1) and weights are xed eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
34 Integrability without prices The "group" case Group decision-making set-up: prices are xed (eventually equal to 1) and weights are xed Does identical utility impose more restrictions on the class of non-linear sharing functions generated by P beyond x 1 < x 2 for all y? eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
35 Integrability without prices The "group" case Group decision-making set-up: prices are xed (eventually equal to 1) and weights are xed Does identical utility impose more restrictions on the class of non-linear sharing functions generated by P beyond x 1 < x 2 for all y? Answer: No for n = 2, eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
36 Integrability without prices The "group" case Group decision-making set-up: prices are xed (eventually equal to 1) and weights are xed Does identical utility impose more restrictions on the class of non-linear sharing functions generated by P beyond x 1 < x 2 for all y? Answer: No for n = 2, Answer: Yes for n > 2 but?. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
37 Integrability without prices The "group" case Group decision-making set-up: prices are xed (eventually equal to 1) and weights are xed Does identical utility impose more restrictions on the class of non-linear sharing functions generated by P beyond x 1 < x 2 for all y? Answer: No for n = 2, Answer: Yes for n > 2 but?. Proposition eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
38 Integrability without prices The "group" case Group decision-making set-up: prices are xed (eventually equal to 1) and weights are xed Does identical utility impose more restrictions on the class of non-linear sharing functions generated by P beyond x 1 < x 2 for all y? Answer: No for n = 2, Answer: Yes for n > 2 but?. Proposition For all f (y) and a 2 (0, 1/2), there exists a continuous di erentiable utility function v such that, for all y 2 R +, from Program (1) we get x1 (y; a)) = f (y). eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
39 The sharing function A sharing function f maps wealth y into the quantity consumed or invested in one good x 1 = f (y) eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
40 The sharing function A sharing function f maps wealth y into the quantity consumed or invested in one good x 1 = f (y) From p 1 x 1 + p 2 x 2 = y we know x 1 = x 2 =) x 1 = y p 1 +p 2 y p 1 + p 2 f(y) y eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
41 Three classes of diverging sharing functions Type 1: Class M, or "Moving Away" sharing functions f y p 1 + p 2 f5 M y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
42 Type 2: Class P, or "progressive" sharing functions f y p 1 + p 2 f5 P y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
43 Type 3: Class C, or "concave" f y p 1 + p 2 f5 C y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
44 2.d Remark The classes are nested C P M f y p 1 + p 2 f y p 1 + p 2 f y p 1 + p 2 f5 M f5 P f5 C y y a b c y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
45 A characterization result for the rst good Proposition Suppose that x1 (y; ) is twice continuously di erentiable. Then: i) v 2 DARA () x1 (y; ) 2 M for all π 1 ii) v 2 DRRA () x1 (y; ) 2 P for all π 1. iii) v 2 CT () x1 (y; ) 2 C for all π 1. Where eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
46 A characterization result for the rst good Proposition Suppose that x1 (y; ) is twice continuously di erentiable. Then: i) v 2 DARA () x1 (y; ) 2 M for all π 1 ii) v 2 DRRA () x1 (y; ) 2 P for all π 1. iii) v 2 CT () x1 (y; ) 2 C for all π 1. Where DARA = Decreasing Absolute Risk Aversion eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
47 A characterization result for the rst good Proposition Suppose that x1 (y; ) is twice continuously di erentiable. Then: i) v 2 DARA () x1 (y; ) 2 M for all π 1 ii) v 2 DRRA () x1 (y; ) 2 P for all π 1. iii) v 2 CT () x1 (y; ) 2 C for all π 1. Where DARA = Decreasing Absolute Risk Aversion DRRA = Decreasing Relative Risk Aversion Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
48 A characterization result for the rst good Proposition Suppose that x1 (y; ) is twice continuously di erentiable. Then: i) v 2 DARA () x1 (y; ) 2 M for all π 1 ii) v 2 DRRA () x1 (y; ) 2 P for all π 1. iii) v 2 CT () x1 (y; ) 2 C for all π 1. Where DARA = Decreasing Absolute Risk Aversion DRRA = Decreasing Relative Risk Aversion CT = Convex Tolerance Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
49 An extension to a "sequential" setting Proposition (3bis) Let P represent an intertemporal consumption choice, with n = T periods and initial wealth y. Let us consider the associated dynamic programming problem where at time t the consumer chooses the optimal consumption pattern c t, c t+1,..., c T of the remaining T t periods as a function of the current wealth y t. Then the conditions of the previous proposition apply to the sharing function linking the current consumption c t to the current wealth y t for each period t = 1...T 1. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
50 Among CT utility functions, an interesting and general family: linhara utility functions, obtained by adding a linear term to HARA utility functions. Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
51 Among CT utility functions, an interesting and general family: linhara utility functions, obtained by adding a linear term to HARA utility functions. The linex v(x) = αx e βx is well known in the risk literature Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
52 Among CT utility functions, an interesting and general family: linhara utility functions, obtained by adding a linear term to HARA utility functions. The linex v(x) = αx e βx is well known in the risk literature linpower v(x) = k 1 a x1 a + bx, with parameters a > 1, b and k > 0 1 pk a (the corresponding h(x, p) = x is bounded k (λ 1)bx a 1 a x < ) k (p 1)b Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
53 Among CT utility functions, an interesting and general family: linhara utility functions, obtained by adding a linear term to HARA utility functions. The linex v(x) = αx e βx is well known in the risk literature linpower v(x) = k 1 a x1 a + bx, with parameters a > 1, b and k > 0 1 pk a (the corresponding h(x, p) = x is bounded k (λ 1)bx a 1 a x < ) k (p 1)b linlog utility function v(x) = αx + β log x. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
54 Applications: Individual Choice 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
55 Applications: Individual Choice 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x1 (y, p; a) = demand for the contingent claim with the highest "kernel price" p 1 a. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
56 Applications: Individual Choice 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x1 (y, p; a) = demand for the contingent claim with the highest "kernel price" p 1 a. Results: eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
57 Applications: Individual Choice 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x1 (y, p; a) = demand for the contingent claim with the highest "kernel price" p 1 a. Results: v 2 DARA () x2 x1 is increasing with y eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
58 Applications: Individual Choice 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x1 (y, p; a) = demand for the contingent claim with the highest "kernel price" p 1 a. Results: v 2 DARA () x2 x1 is increasing with y v 2 DRRA () p 1x 1 y is decreasing with y eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
59 Applications: Individual Choice 1- Arrow Debreu contingency claims states prob demand. price 1 a x 1 p a x 2 p 2 y = initial wealth, v = state independent utility x1 (y, p; a) = demand for the contingent claim with the highest "kernel price" p 1 a. Results: v 2 DARA () x2 x1 is increasing with y v 2 DRRA () p 1x 1 y is decreasing with y v 2 CT () x1 is concave in y (the marginal share of the less demanded attribute decreases with wealth) eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
60 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
61 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
62 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
63 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 states prob. nal wealth 1 a x 1 = Y X + (1 β)c 2 1 a x 2 = Y βc eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
64 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 states prob. nal wealth 1 a x 1 = Y X + (1 β)c 2 1 a x 2 = Y βc Uninsured loss z 1 = x 2 x 1 eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
65 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 states prob. nal wealth 1 a x 1 = Y X + (1 β)c 2 1 a x 2 = Y βc Uninsured loss z 1 = x 2 x 1 Results: Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
66 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 states prob. nal wealth 1 a x 1 = Y X + (1 β)c 2 1 a x 2 = Y βc Uninsured loss z 1 = x 2 x 1 Results: v 2 DARA () z 1 is increasing with y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
67 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 states prob. nal wealth 1 a x 1 = Y X + (1 β)c 2 1 a x 2 = Y βc Uninsured loss z 1 = x 2 x 1 Results: v 2 DARA () z1 is increasing with y v 2 DRRA () proportion of uninsured wealth is increasing with y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
68 Individual choice Insurance Initial wealth Y ; risk of a loss X in state 1 with probability a. Insurance contract where 0 C X. The premium βc is proportional to the coverage, with β < 1 states prob. nal wealth 1 a x 1 = Y X + (1 β)c 2 1 a x 2 = Y βc Uninsured loss z 1 = x 2 x 1 Results: v 2 DARA () z1 is increasing with y v 2 DRRA () proportion of uninsured wealth is increasing with y v 2 CT () uinsured wealth is concave with y eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
69 3.4 Individual Choice 4- Intertemporal Consumption Given the model time wheights prices 1 a = 1 1+β a = β 1+β 1 1+r eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
70 3.4 Individual Choice 4- Intertemporal Consumption Given the model time wheights prices 1 a = 1 1+β a = β 1+β 1 1+r The initial condition λ = p (1 a) 1 p 2 a 1 becomes β 1 1+r. The marginal opportunity cost of saving is lower than the intertemporal MRS =) lower consumption in the rst period. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
71 3.4 Individual Choice 4- Intertemporal Consumption Given the model time wheights prices 1 a = 1 1+β a = β 1+β 1 1+r The initial condition λ = p (1 a) 1 p 2 a 1 becomes β 1 1+r. The marginal opportunity cost of saving is lower than the intertemporal MRS =) lower consumption in the rst period. Results: Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
72 3.4 Individual Choice 4- Intertemporal Consumption Given the model time wheights prices 1 a = 1 1+β a = β 1+β 1 1+r The initial condition λ = p (1 a) 1 p 2 a 1 becomes β 1 1+r. The marginal opportunity cost of saving is lower than the intertemporal MRS =) lower consumption in the rst period. Results: v 2 DARA () saving increasing with y Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
73 3.4 Individual Choice 4- Intertemporal Consumption Given the model time wheights prices 1 a = 1 1+β a = β 1+β 1 1+r The initial condition λ = p (1 a) 1 p 2 a 1 becomes β 1 1+r. The marginal opportunity cost of saving is lower than the intertemporal MRS =) lower consumption in the rst period. Results: v 2 DARA () saving increasing with y v 2 DRRA () decreasing average propensity to consume with wealth (Keynes) Peluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
74 3.4 Individual Choice 4- Intertemporal Consumption Given the model time wheights prices 1 a = 1 1+β a = β 1+β 1 1+r The initial condition λ = p (1 a) 1 p 2 a 1 becomes β 1 1+r. The marginal opportunity cost of saving is lower than the intertemporal MRS =) lower consumption in the rst period. Results: v 2 DARA () saving increasing with y v 2 DRRA () decreasing average propensity to consume with wealth (Keynes) v 2 CT () x1 is concave with y eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
75 Group choice Intra-household allocation Samuelson s household welfare function, with balance of power among the members given by a. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
76 Group choice Intra-household allocation Samuelson s household welfare function, with balance of power among the members given by a. If individual 1 is the "weaker" individual (a 1 2 ) then x 1 (y, a) 1 2 y. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
77 Group choice Intra-household allocation Samuelson s household welfare function, with balance of power among the members given by a. If individual 1 is the "weaker" individual (a 1 2 ) then x 1 (y, a) 1 2 y. Immediate interpretation of the Proposition 1, for the risk-sharing too. eluso & Trannoy (Conference In Honor of Louis Eeckhoudt)Sharing Rules June / 26
Uncertainty Per Krusell & D. Krueger Lecture Notes Chapter 6
1 Uncertainty Per Krusell & D. Krueger Lecture Notes Chapter 6 1 A Two-Period Example Suppose the economy lasts only two periods, t =0, 1. The uncertainty arises in the income (wage) of period 1. Not that
More informationIn the Ramsey model we maximized the utility U = u[c(t)]e nt e t dt. Now
PERMANENT INCOME AND OPTIMAL CONSUMPTION On the previous notes we saw how permanent income hypothesis can solve the Consumption Puzzle. Now we use this hypothesis, together with assumption of rational
More information1 Uncertainty. These notes correspond to chapter 2 of Jehle and Reny.
These notes correspond to chapter of Jehle and Reny. Uncertainty Until now we have considered our consumer s making decisions in a world with perfect certainty. However, we can extend the consumer theory
More informationChapter 4. Applications/Variations
Chapter 4 Applications/Variations 149 4.1 Consumption Smoothing 4.1.1 The Intertemporal Budget Economic Growth: Lecture Notes For any given sequence of interest rates {R t } t=0, pick an arbitrary q 0
More informationMicroeconomics, Block I Part 1
Microeconomics, Block I Part 1 Piero Gottardi EUI Sept. 26, 2016 Piero Gottardi (EUI) Microeconomics, Block I Part 1 Sept. 26, 2016 1 / 53 Choice Theory Set of alternatives: X, with generic elements x,
More information1 Two elementary results on aggregation of technologies and preferences
1 Two elementary results on aggregation of technologies and preferences In what follows we ll discuss aggregation. What do we mean with this term? We say that an economy admits aggregation if the behavior
More informationECON2285: Mathematical Economics
ECON2285: Mathematical Economics Yulei Luo Economics, HKU September 17, 2018 Luo, Y. (Economics, HKU) ME September 17, 2018 1 / 46 Static Optimization and Extreme Values In this topic, we will study goal
More informationMicroeconomics, Block I Part 2
Microeconomics, Block I Part 2 Piero Gottardi EUI Sept. 20, 2015 Piero Gottardi (EUI) Microeconomics, Block I Part 2 Sept. 20, 2015 1 / 48 Pure Exchange Economy H consumers with: preferences described
More informationThe marginal propensity to consume and multidimensional risk
The marginal propensity to consume and multidimensional risk Elyès Jouini, Clotilde Napp, Diego Nocetti To cite this version: Elyès Jouini, Clotilde Napp, Diego Nocetti. The marginal propensity to consume
More informationThe Ramsey Model. Alessandra Pelloni. October TEI Lecture. Alessandra Pelloni (TEI Lecture) Economic Growth October / 61
The Ramsey Model Alessandra Pelloni TEI Lecture October 2015 Alessandra Pelloni (TEI Lecture) Economic Growth October 2015 1 / 61 Introduction Introduction Introduction Ramsey-Cass-Koopmans model: di ers
More informationRecitation 7: Uncertainty. Xincheng Qiu
Econ 701A Fall 2018 University of Pennsylvania Recitation 7: Uncertainty Xincheng Qiu (qiux@sas.upenn.edu 1 Expected Utility Remark 1. Primitives: in the basic consumer theory, a preference relation is
More informationAdvanced Microeconomics I: Consumers, Firms and Markets Chapters 1+2
Advanced Microeconomics I: Consumers, Firms and Markets Chapters 1+2 Prof. Dr. Oliver Gürtler Winter Term 2012/2013 1 Advanced Microeconomics I: Consumers, Firms and Markets Chapters 1+2 JJ N J 1. Introduction
More informationGame Theory and Economics of Contracts Lecture 5 Static Single-agent Moral Hazard Model
Game Theory and Economics of Contracts Lecture 5 Static Single-agent Moral Hazard Model Yu (Larry) Chen School of Economics, Nanjing University Fall 2015 Principal-Agent Relationship Principal-agent relationship
More informationEconomic Growth: Lectures 5-7, Neoclassical Growth
14.452 Economic Growth: Lectures 5-7, Neoclassical Growth Daron Acemoglu MIT November 7, 9 and 14, 2017. Daron Acemoglu (MIT) Economic Growth Lectures 5-7 November 7, 9 and 14, 2017. 1 / 83 Introduction
More informationNeoclassical Growth Model / Cake Eating Problem
Dynamic Optimization Institute for Advanced Studies Vienna, Austria by Gabriel S. Lee February 1-4, 2008 An Overview and Introduction to Dynamic Programming using the Neoclassical Growth Model and Cake
More informationSimplifying this, we obtain the following set of PE allocations: (x E ; x W ) 2
Answers Answer for Q (a) ( pts:.5 pts. for the de nition and.5 pts. for its characterization) The de nition of PE is standard. There may be many ways to characterize the set of PE allocations. But whichever
More informationSTATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics
STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics Ph. D. Comprehensive Examination: Macroeconomics Fall, 202 Answer Key to Section 2 Questions Section. (Suggested Time: 45 Minutes) For 3 of
More informationAsset Pricing. Chapter V. Risk Aversion and Investment Decisions, Part I. June 20, 2006
Chapter V. Risk Aversion and Investment Decisions, Part I June 20, 2006 The Canonical Portfolio Problem The various problems considered in this chapter (and the next) max a EU(Ỹ1) = max EU (Y 0 (1 + r
More informationBounded Rationality Lecture 4
Bounded Rationality Lecture 4 Mark Dean Princeton University - Behavioral Economics The Story So Far... Introduced the concept of bounded rationality Described some behaviors that might want to explain
More informationNotes on Alvarez and Jermann, "Efficiency, Equilibrium, and Asset Pricing with Risk of Default," Econometrica 2000
Notes on Alvarez Jermann, "Efficiency, Equilibrium, Asset Pricing with Risk of Default," Econometrica 2000 Jonathan Heathcote November 1st 2005 1 Model Consider a pure exchange economy with I agents one
More informationCapital Structure and Investment Dynamics with Fire Sales
Capital Structure and Investment Dynamics with Fire Sales Douglas Gale Piero Gottardi NYU April 23, 2013 Douglas Gale, Piero Gottardi (NYU) Capital Structure April 23, 2013 1 / 55 Introduction Corporate
More informationMicroeconomic Theory III Spring 2009
MIT OpenCourseWare http://ocw.mit.edu 14.123 Microeconomic Theory III Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. MIT 14.123 (2009) by
More informationLecture 4: Optimization. Maximizing a function of a single variable
Lecture 4: Optimization Maximizing or Minimizing a Function of a Single Variable Maximizing or Minimizing a Function of Many Variables Constrained Optimization Maximizing a function of a single variable
More informationDYNAMIC LECTURE 5: DISCRETE TIME INTERTEMPORAL OPTIMIZATION
DYNAMIC LECTURE 5: DISCRETE TIME INTERTEMPORAL OPTIMIZATION UNIVERSITY OF MARYLAND: ECON 600. Alternative Methods of Discrete Time Intertemporal Optimization We will start by solving a discrete time intertemporal
More informationNotes on Recursive Utility. Consider the setting of consumption in infinite time under uncertainty as in
Notes on Recursive Utility Consider the setting of consumption in infinite time under uncertainty as in Section 1 (or Chapter 29, LeRoy & Werner, 2nd Ed.) Let u st be the continuation utility at s t. That
More informationLong-tem policy-making, Lecture 5
Long-tem policy-making, Lecture 5 July 2008 Ivar Ekeland and Ali Lazrak PIMS Summer School on Perceiving, Measuring and Managing Risk July 7, 2008 var Ekeland and Ali Lazrak (PIMS Summer School Long-tem
More information4- Current Method of Explaining Business Cycles: DSGE Models. Basic Economic Models
4- Current Method of Explaining Business Cycles: DSGE Models Basic Economic Models In Economics, we use theoretical models to explain the economic processes in the real world. These models de ne a relation
More informationConsumer theory Topics in consumer theory. Microeconomics. Joana Pais. Fall Joana Pais
Microeconomics Fall 2016 Indirect utility and expenditure Properties of consumer demand The indirect utility function The relationship among prices, incomes, and the maximised value of utility can be summarised
More informationAlmost Transferable Utility, Changes in Production Possibilities, and the Nash Bargaining and the Kalai-Smorodinsky Solutions
Department Discussion Paper DDP0702 ISSN 1914-2838 Department of Economics Almost Transferable Utility, Changes in Production Possibilities, and the Nash Bargaining and the Kalai-Smorodinsky Solutions
More information1 Uncertainty and Insurance
Uncertainty and Insurance Reading: Some fundamental basics are in Varians intermediate micro textbook (Chapter 2). A good (advanced, but still rather accessible) treatment is in Kreps A Course in Microeconomic
More informationMathematical Foundations -1- Constrained Optimization. Constrained Optimization. An intuitive approach 2. First Order Conditions (FOC) 7
Mathematical Foundations -- Constrained Optimization Constrained Optimization An intuitive approach First Order Conditions (FOC) 7 Constraint qualifications 9 Formal statement of the FOC for a maximum
More informationCompetitive Equilibria in a Comonotone Market
Competitive Equilibria in a Comonotone Market 1/51 Competitive Equilibria in a Comonotone Market Ruodu Wang http://sas.uwaterloo.ca/ wang Department of Statistics and Actuarial Science University of Waterloo
More information1 Bewley Economies with Aggregate Uncertainty
1 Bewley Economies with Aggregate Uncertainty Sofarwehaveassumedawayaggregatefluctuations (i.e., business cycles) in our description of the incomplete-markets economies with uninsurable idiosyncratic risk
More informationSecond Welfare Theorem
Second Welfare Theorem Econ 2100 Fall 2015 Lecture 18, November 2 Outline 1 Second Welfare Theorem From Last Class We want to state a prove a theorem that says that any Pareto optimal allocation is (part
More informationECON 582: The Neoclassical Growth Model (Chapter 8, Acemoglu)
ECON 582: The Neoclassical Growth Model (Chapter 8, Acemoglu) Instructor: Dmytro Hryshko 1 / 21 Consider the neoclassical economy without population growth and technological progress. The optimal growth
More informationProper Welfare Weights for Social Optimization Problems
Proper Welfare Weights for Social Optimization Problems Alexis Anagnostopoulos (Stony Brook University) Eva Cárceles-Poveda (Stony Brook University) Yair Tauman (IDC and Stony Brook University) June 24th
More informationD i (w; p) := H i (w; S(w; p)): (1)
EC0 Microeconomic Principles II Outline Answers. (a) Demand for input i can be written D i (w; p) := H i (w; S(w; p)): () where H i is the conditional demand for input i and S is the supply function. From
More informationSolving Extensive Form Games
Chapter 8 Solving Extensive Form Games 8.1 The Extensive Form of a Game The extensive form of a game contains the following information: (1) the set of players (2) the order of moves (that is, who moves
More informationEconomics 501B Final Exam Fall 2017 Solutions
Economics 501B Final Exam Fall 2017 Solutions 1. For each of the following propositions, state whether the proposition is true or false. If true, provide a proof (or at least indicate how a proof could
More informationproblem. max Both k (0) and h (0) are given at time 0. (a) Write down the Hamilton-Jacobi-Bellman (HJB) Equation in the dynamic programming
1. Endogenous Growth with Human Capital Consider the following endogenous growth model with both physical capital (k (t)) and human capital (h (t)) in continuous time. The representative household solves
More informationMicroeconomic Theory I Midterm October 2017
Microeconomic Theory I Midterm October 2017 Marcin P ski October 26, 2017 Each question has the same value. You need to provide arguments for each answer. If you cannot solve one part of the problem, don't
More informationTutorial 2: Comparative Statics
Tutorial 2: Comparative Statics ECO42F 20 Derivatives and Rules of Differentiation For each of the functions below: (a) Find the difference quotient. (b) Find the derivative dx. (c) Find f (4) and f (3)..
More informationDepartment of Economics The Ohio State University Final Exam Questions and Answers Econ 8712
Prof. Peck Fall 20 Department of Economics The Ohio State University Final Exam Questions and Answers Econ 872. (0 points) The following economy has two consumers, two firms, and three goods. Good is leisure/labor.
More informationNotes on the Thomas and Worrall paper Econ 8801
Notes on the Thomas and Worrall paper Econ 880 Larry E. Jones Introduction The basic reference for these notes is: Thomas, J. and T. Worrall (990): Income Fluctuation and Asymmetric Information: An Example
More informationThe Non-Existence of Representative Agents
The Non-Existence of Representative Agents Matthew O. Jackson and Leeat Yariv November 2015 Abstract We characterize environments in which there exists a representative agent: an agent who inherits the
More informationECON607 Fall 2010 University of Hawaii Professor Hui He TA: Xiaodong Sun Assignment 2
ECON607 Fall 200 University of Hawaii Professor Hui He TA: Xiaodong Sun Assignment 2 The due date for this assignment is Tuesday, October 2. ( Total points = 50). (Two-sector growth model) Consider the
More informationPh.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2016
Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2016 The time limit for this exam is four hours. The exam has four sections. Each section includes two questions.
More informationMicroeconomic Theory: Lecture 2 Choice Theory and Consumer Demand
Microeconomic Theory: Lecture 2 Choice Theory and Consumer Demand Summer Semester, 2014 De nitions and Axioms Binary Relations I Examples: taller than, friend of, loves, hates, etc. I Abstract formulation:
More informationMacro 1: Dynamic Programming 1
Macro 1: Dynamic Programming 1 Mark Huggett 2 2 Georgetown September, 2016 DP Warm up: Cake eating problem ( ) max f 1 (y 1 ) + f 2 (y 2 ) s.t. y 1 + y 2 100, y 1 0, y 2 0 1. v 1 (x) max f 1(y 1 ) + f
More informationDynamic Discrete Choice Structural Models in Empirical IO
Dynamic Discrete Choice Structural Models in Empirical IO Lecture 4: Euler Equations and Finite Dependence in Dynamic Discrete Choice Models Victor Aguirregabiria (University of Toronto) Carlos III, Madrid
More informationSTRUCTURE Of ECONOMICS A MATHEMATICAL ANALYSIS
THIRD EDITION STRUCTURE Of ECONOMICS A MATHEMATICAL ANALYSIS Eugene Silberberg University of Washington Wing Suen University of Hong Kong I Us Irwin McGraw-Hill Boston Burr Ridge, IL Dubuque, IA Madison,
More informationLecture 6: Contraction mapping, inverse and implicit function theorems
Lecture 6: Contraction mapping, inverse and implicit function theorems 1 The contraction mapping theorem De nition 11 Let X be a metric space, with metric d If f : X! X and if there is a number 2 (0; 1)
More informationIntroduction to General Equilibrium: Framework.
Introduction to General Equilibrium: Framework. Economy: I consumers, i = 1,...I. J firms, j = 1,...J. L goods, l = 1,...L Initial Endowment of good l in the economy: ω l 0, l = 1,...L. Consumer i : preferences
More informationThe Real Business Cycle Model
The Real Business Cycle Model Macroeconomics II 2 The real business cycle model. Introduction This model explains the comovements in the fluctuations of aggregate economic variables around their trend.
More informationECON FINANCIAL ECONOMICS
ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College Spring 2018 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International
More informationPractice Questions for Mid-Term I. Question 1: Consider the Cobb-Douglas production function in intensive form:
Practice Questions for Mid-Term I Question 1: Consider the Cobb-Douglas production function in intensive form: y f(k) = k α ; α (0, 1) (1) where y and k are output per worker and capital per worker respectively.
More informationCorrections to Theory of Asset Pricing (2008), Pearson, Boston, MA
Theory of Asset Pricing George Pennacchi Corrections to Theory of Asset Pricing (8), Pearson, Boston, MA. Page 7. Revise the Independence Axiom to read: For any two lotteries P and P, P P if and only if
More informationLecture 8. Applications of consumer theory. Randall Romero Aguilar, PhD I Semestre 2017 Last updated: April 27, 2017
Lecture 8 Applications of consumer theory Randall Romero Aguilar, PhD I Semestre 2017 Last updated: April 27, 2017 Universidad de Costa Rica EC3201 - Teoría Macroeconómica 2 Table of contents 1. The Work-Leisure
More informationFundamentals in Optimal Investments. Lecture I
Fundamentals in Optimal Investments Lecture I + 1 Portfolio choice Portfolio allocations and their ordering Performance indices Fundamentals in optimal portfolio choice Expected utility theory and its
More information"A Theory of Financing Constraints and Firm Dynamics"
1/21 "A Theory of Financing Constraints and Firm Dynamics" G.L. Clementi and H.A. Hopenhayn (QJE, 2006) Cesar E. Tamayo Econ612- Economics - Rutgers April 30, 2012 2/21 Program I Summary I Physical environment
More informationProblem 1 (30 points)
Problem (30 points) Prof. Robert King Consider an economy in which there is one period and there are many, identical households. Each household derives utility from consumption (c), leisure (l) and a public
More informationDynamic Optimization Using Lagrange Multipliers
Dynamic Optimization Using Lagrange Multipliers Barbara Annicchiarico barbara.annicchiarico@uniroma2.it Università degli Studi di Roma "Tor Vergata" Presentation #2 Deterministic Infinite-Horizon Ramsey
More informationOptimization, Part 2 (november to december): mandatory for QEM-IMAEF, and for MMEF or MAEF who have chosen it as an optional course.
Paris. Optimization, Part 2 (november to december): mandatory for QEM-IMAEF, and for MMEF or MAEF who have chosen it as an optional course. Philippe Bich (Paris 1 Panthéon-Sorbonne and PSE) Paris, 2016.
More informationECON0702: Mathematical Methods in Economics
ECON0702: Mathematical Methods in Economics Yulei Luo SEF of HKU January 14, 2009 Luo, Y. (SEF of HKU) MME January 14, 2009 1 / 44 Comparative Statics and The Concept of Derivative Comparative Statics
More informationECON4510 Finance Theory Lecture 2
ECON4510 Finance Theory Lecture 2 Diderik Lund Department of Economics University of Oslo 26 August 2013 Diderik Lund, Dept. of Economics, UiO ECON4510 Lecture 2 26 August 2013 1 / 31 Risk aversion and
More informationRamsey Cass Koopmans Model (1): Setup of the Model and Competitive Equilibrium Path
Ramsey Cass Koopmans Model (1): Setup of the Model and Competitive Equilibrium Path Ryoji Ohdoi Dept. of Industrial Engineering and Economics, Tokyo Tech This lecture note is mainly based on Ch. 8 of Acemoglu
More informationECON 2010c Solution to Problem Set 1
ECON 200c Solution to Problem Set By the Teaching Fellows for ECON 200c Fall 204 Growth Model (a) Defining the constant κ as: κ = ln( αβ) + αβ αβ ln(αβ), the problem asks us to show that the following
More informationConcave Consumption Function and Precautionary Wealth Accumulation. Richard M. H. Suen University of Connecticut. Working Paper November 2011
Concave Consumption Function and Precautionary Wealth Accumulation Richard M. H. Suen University of Connecticut Working Paper 2011-23 November 2011 Concave Consumption Function and Precautionary Wealth
More informationFirst Welfare Theorem
First Welfare Theorem Econ 2100 Fall 2017 Lecture 17, October 31 Outline 1 First Welfare Theorem 2 Preliminaries to Second Welfare Theorem Past Definitions A feasible allocation (ˆx, ŷ) is Pareto optimal
More informationCompetitive Equilibrium and the Welfare Theorems
Competitive Equilibrium and the Welfare Theorems Craig Burnside Duke University September 2010 Craig Burnside (Duke University) Competitive Equilibrium September 2010 1 / 32 Competitive Equilibrium and
More informationHomework 3 - Partial Answers
Homework 3 - Partial Answers Jonathan Heathcote Due in Class on Tuesday February 28th In class we outlined two versions of the stochastic growth model: a planner s problem, and an Arrow-Debreu competitive
More informationShort correct answers are sufficient and get full credit. Including irrelevant (though correct) information in an answer will not increase the score.
Economics 200B Part 1 UCSD Winter 2014 Prof. R. Starr, Ms. Isla Globus-Harris Final Exam 1 Your Name: SUGGESTED ANSWERS Please answer all questions. Each of the six questions marked with a big number counts
More information1 Jan 28: Overview and Review of Equilibrium
1 Jan 28: Overview and Review of Equilibrium 1.1 Introduction What is an equilibrium (EQM)? Loosely speaking, an equilibrium is a mapping from environments (preference, technology, information, market
More informationMoral Hazard and Persistence
Moral Hazard and Persistence Hugo Hopenhayn Department of Economics UCLA Arantxa Jarque Department of Economics U. of Alicante PRELIMINARY AND INCOMPLETE Abstract We study a multiperiod principal-agent
More informationLecture 6: Recursive Preferences
Lecture 6: Recursive Preferences Simon Gilchrist Boston Univerity and NBER EC 745 Fall, 2013 Basics Epstein and Zin (1989 JPE, 1991 Ecta) following work by Kreps and Porteus introduced a class of preferences
More informationa = (a 1; :::a i )
1 Pro t maximization Behavioral assumption: an optimal set of actions is characterized by the conditions: max R(a 1 ; a ; :::a n ) C(a 1 ; a ; :::a n ) a = (a 1; :::a n) @R(a ) @a i = @C(a ) @a i The rm
More informationIncomplete Markets, Heterogeneity and Macroeconomic Dynamics
Incomplete Markets, Heterogeneity and Macroeconomic Dynamics Bruce Preston and Mauro Roca Presented by Yuki Ikeda February 2009 Preston and Roca (presenter: Yuki Ikeda) 02/03 1 / 20 Introduction Stochastic
More informationNotes IV General Equilibrium and Welfare Properties
Notes IV General Equilibrium and Welfare Properties In this lecture we consider a general model of a private ownership economy, i.e., a market economy in which a consumer s wealth is derived from endowments
More informationAdvanced Macroeconomics
Advanced Macroeconomics The Ramsey Model Marcin Kolasa Warsaw School of Economics Marcin Kolasa (WSE) Ad. Macro - Ramsey model 1 / 30 Introduction Authors: Frank Ramsey (1928), David Cass (1965) and Tjalling
More informationRisk Vulnerability: a graphical interpretation
Risk Vulnerability: a graphical interpretation Louis Eeckhoudt a, Béatrice Rey b,1 a IÉSEG School of Management, 3 rue de la Digue, 59000 Lille, France, and CORE, Voie du Roman Pays 34, 1348 Louvain-la-Neuve,
More informationAdvanced Microeconomic Analysis Solutions to Homework #2
Advanced Microeconomic Analysis Solutions to Homework #2 0..4 Prove that Hicksian demands are homogeneous of degree 0 in prices. We use the relationship between Hicksian and Marshallian demands: x h i
More informationz = f (x; y) f (x ; y ) f (x; y) f (x; y )
BEEM0 Optimization Techiniques for Economists Lecture Week 4 Dieter Balkenborg Departments of Economics University of Exeter Since the fabric of the universe is most perfect, and is the work of a most
More informationComputing risk averse equilibrium in incomplete market. Henri Gerard Andy Philpott, Vincent Leclère
Computing risk averse equilibrium in incomplete market Henri Gerard Andy Philpott, Vincent Leclère YEQT XI: Winterschool on Energy Systems Netherlands, December, 2017 CERMICS - EPOC 1/43 Uncertainty on
More informationConcavity of the Consumption Function with Recursive Preferences
Concavity of the Consumption Function with Recursive Preferences Semyon Malamud May 21, 2014 Abstract Carroll and Kimball 1996) show that the consumption function for an agent with time-separable, isoelastic
More informationAsymmetric Information and Bank Runs
Asymmetric Information and Bank uns Chao Gu Cornell University Draft, March, 2006 Abstract This paper extends Peck and Shell s (2003) bank run model to the environment in which the sunspot coordination
More informationBanks, depositors and liquidity shocks: long term vs short term interest rates in a model of adverse selection
Banks, depositors and liquidity shocks: long term vs short term interest rates in a model of adverse selection Geethanjali Selvaretnam Abstract This model takes into consideration the fact that depositors
More informationTHE UTILITY PREMIUM. Louis Eeckhoudt, Catholic Universities of Mons and Lille Research Associate CORE
THE UTILITY PREMIUM Louis Eeckhoudt, Catholic Universities of Mons and Lille Research Associate CORE Harris Schlesinger, University of Alabama, CoFE Konstanz Research Fellow CESifo * Beatrice Rey, Institute
More informationSharing aggregate risks under moral hazard
Sharing aggregate risks under moral hazard Gabrielle Demange 1 November 2005 Abstract This paper discusses some of the problems associated with the efficient design of insurance schemes in the presence
More informationLecture Notes - Dynamic Moral Hazard
Lecture Notes - Dynamic Moral Hazard Simon Board and Moritz Meyer-ter-Vehn October 27, 2011 1 Marginal Cost of Providing Utility is Martingale (Rogerson 85) 1.1 Setup Two periods, no discounting Actions
More informationECON501 - Vector Di erentiation Simon Grant
ECON01 - Vector Di erentiation Simon Grant October 00 Abstract Notes on vector di erentiation and some simple economic applications and examples 1 Functions of One Variable g : R! R derivative (slope)
More informationWhat Are Asset Demand Tests of Expected Utility Really Testing?
What Are Asset Demand Tests of Expected Utility Really Testing? Felix Kubler, Larry Selden and Xiao Wei August 25, 2016 Abstract Assuming the classic contingent claim setting, a number of nancial asset
More informationA Note on Beneficial Changes in Random Variables
The Geneva Papers on Risk and Insurance Theory, 17:2 171-179(1992) 1992 The Geneva Association A Note on eneficial Changes in Random Variables JOSEF HADAR TAE KUN SEO Department of Economics, Southern
More informationModern Macroeconomics II
Modern Macroeconomics II Katsuya Takii OSIPP Katsuya Takii (Institute) Modern Macroeconomics II 1 / 461 Introduction Purpose: This lecture is aimed at providing students with standard methods in modern
More informationChoice under Uncertainty
In the Name of God Sharif University of Technology Graduate School of Management and Economics Microeconomics 2 44706 (1394-95 2 nd term) Group 2 Dr. S. Farshad Fatemi Chapter 6: Choice under Uncertainty
More informationMonetary Economics: Solutions Problem Set 1
Monetary Economics: Solutions Problem Set 1 December 14, 2006 Exercise 1 A Households Households maximise their intertemporal utility function by optimally choosing consumption, savings, and the mix of
More informationAsset Pricing. Chapter IX. The Consumption Capital Asset Pricing Model. June 20, 2006
Chapter IX. The Consumption Capital Model June 20, 2006 The Representative Agent Hypothesis and its Notion of Equilibrium 9.2.1 An infinitely lived Representative Agent Avoid terminal period problem Equivalence
More informationI N S T I T U T D E S T A T I S T I Q U E B I O S T A T I S T I Q U E E T S C I E N C E S A C T U A R I E L L E S (I S B A)
I N S T I T U T D E S T A T I S T I Q U E B I O S T A T I S T I Q U E E T S C I E N C E S A C T U A R I E L L E S (I S B A) UNIVERSITÉ CATHOLIQUE DE LOUVAIN D I S C U S S I O N P A P E R 2012/14 UNI- AND
More informationMicroeconomic Theory-I Washington State University Midterm Exam #1 - Answer key. Fall 2016
Microeconomic Theory-I Washington State University Midterm Exam # - Answer key Fall 06. [Checking properties of preference relations]. Consider the following preference relation de ned in the positive
More informationDifferentiable Welfare Theorems Existence of a Competitive Equilibrium: Preliminaries
Differentiable Welfare Theorems Existence of a Competitive Equilibrium: Preliminaries Econ 2100 Fall 2017 Lecture 19, November 7 Outline 1 Welfare Theorems in the differentiable case. 2 Aggregate excess
More informationRice University. Fall Semester Final Examination ECON501 Advanced Microeconomic Theory. Writing Period: Three Hours
Rice University Fall Semester Final Examination 007 ECON50 Advanced Microeconomic Theory Writing Period: Three Hours Permitted Materials: English/Foreign Language Dictionaries and non-programmable calculators
More information