The marginal propensity to consume and multidimensional risk

Similar documents
Characterization of Equilibrium Paths in a Two-Sector Economy with CES Production Functions and Sector-Specific Externality

In the Ramsey model we maximized the utility U = u[c(t)]e nt e t dt. Now

Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma.

L institution sportive : rêve et illusion

Passerelle entre les arts : la sculpture sonore

A new simple recursive algorithm for finding prime numbers using Rosser s theorem

The core of voting games: a partition approach

Fertility in the absence of self-control

Completeness of the Tree System for Propositional Classical Logic

On Symmetric Norm Inequalities And Hermitian Block-Matrices

On Symmetric Norm Inequalities And Hermitian Block-Matrices

The Core of a coalitional exchange economy

Easter bracelets for years

BERGE VAISMAN AND NASH EQUILIBRIA: TRANSFORMATION OF GAMES

On production costs in vertical differentiation models

Analysis of Boyer and Moore s MJRTY algorithm

Territorial Intelligence and Innovation for the Socio-Ecological Transition

Can we reduce health inequalities? An analysis of the English strategy ( )

Dispersion relation results for VCS at JLab

Smart Bolometer: Toward Monolithic Bolometer with Smart Functions

Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122,

Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan

Evolution of the cooperation and consequences of a decrease in plant diversity on the root symbiont diversity

Fast Computation of Moore-Penrose Inverse Matrices

On size, radius and minimum degree

IMPROVEMENTS OF THE VARIABLE THERMAL RESISTANCE

b-chromatic number of cacti

From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach

The Windy Postman Problem on Series-Parallel Graphs

Problem 1 (30 points)

1 Bewley Economies with Aggregate Uncertainty

Unbiased minimum variance estimation for systems with unknown exogenous inputs

How to make R, PostGIS and QGis cooperate for statistical modelling duties: a case study on hedonic regressions

Thomas Lugand. To cite this version: HAL Id: tel

A partial characterization of the core in Bertrand oligopoly TU-games with transferable technologies

Vibro-acoustic simulation of a car window

The status of VIRGO. To cite this version: HAL Id: in2p

Full-order observers for linear systems with unknown inputs

Question order experimental constraints on quantum-like models of judgement

About partial probabilistic information

ECON501 - Vector Di erentiation Simon Grant

Quantum efficiency and metastable lifetime measurements in ruby ( Cr 3+ : Al2O3) via lock-in rate-window photothermal radiometry

Comment on: Sadi Carnot on Carnot s theorem.

Linear Quadratic Zero-Sum Two-Person Differential Games

Stochastic invariances and Lamperti transformations for Stochastic Processes

A Simple Proof of P versus NP

Multiple sensor fault detection in heat exchanger system

Global Externalities, Endogenous Growth and Sunspot fluctuations

Influence of network metrics in urban simulation: introducing accessibility in graph-cellular automata.

Tropical Graph Signal Processing

Impulse response measurement of ultrasonic transducers

A non-commutative algorithm for multiplying (7 7) matrices using 250 multiplications

Best linear unbiased prediction when error vector is correlated with other random vectors in the model

A Context free language associated with interval maps

The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle

Understanding SVM (and associated kernel machines) through the development of a Matlab toolbox

Solving an integrated Job-Shop problem with human resource constraints

Hook lengths and shifted parts of partitions

Comments on the method of harmonic balance

Gaia astrometric accuracy in the past

A note on the acyclic 3-choosability of some planar graphs

On the longest path in a recursively partitionable graph

Two-step centered spatio-temporal auto-logistic regression model

Numerical Modeling of Eddy Current Nondestructive Evaluation of Ferromagnetic Tubes via an Integral. Equation Approach

On path partitions of the divisor graph

A NON - CONVENTIONAL TYPE OF PERMANENT MAGNET BEARING

Widely Linear Estimation with Complex Data

A new approach of the concept of prime number

approximation results for the Traveling Salesman and related Problems

Chapter 1. GMM: Basic Concepts

A simple kinetic equation of swarm formation: blow up and global existence

ECON2285: Mathematical Economics

ECOM 009 Macroeconomics B. Lecture 2

Local indeterminacy in continuous-time models: the role of returns to scale

On the Earth s magnetic field and the Hall effect

Addendum to: International Trade, Technology, and the Skill Premium

FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM

New Basis Points of Geodetic Stations for Landslide Monitoring

Private versus public consumption within groups : testing the nature of goods from aggregate data

The spreading of fundamental methods and research design in territorial information analysis within the social sciences and humanities

Advanced Microeconomics I: Consumers, Firms and Markets Chapters 1+2

Dorian Mazauric. To cite this version: HAL Id: tel

Sound intensity as a function of sound insulation partition

Chapter 2. GMM: Estimating Rational Expectations Models

Methods for territorial intelligence.

Solubility prediction of weak electrolyte mixtures

Polychotomous regression : application to landcover prediction

Determination of absorption characteristic of materials on basis of sound intensity measurement

Department of Agricultural Economics. PhD Qualifier Examination. May 2009

The beam-gas method for luminosity measurement at LHCb

Replicator Dynamics and Correlated Equilibrium

A note on the computation of the fraction of smallest denominator in between two irreducible fractions

Near-Earth Asteroids Orbit Propagation with Gaia Observations

A remark on a theorem of A. E. Ingham.

A CONDITION-BASED MAINTENANCE MODEL FOR AVAILABILITY OPTIMIZATION FOR STOCHASTIC DEGRADING SYSTEMS

Exogenous input estimation in Electronic Power Steering (EPS) systems

The Ramsey Model. Alessandra Pelloni. October TEI Lecture. Alessandra Pelloni (TEI Lecture) Economic Growth October / 61

Urban noise maps in a GIS

On Solving Aircraft Conflict Avoidance Using Deterministic Global Optimization (sbb) Codes

Macroeconomics IV Problem Set I

Transcription:

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 and multidimensional risk. Economics Letters, Elsevier, 2013, 119 (2), pp.124-127. <halshs-00927262> HAL Id: halshs-00927262 https://halshs.archives-ouvertes.fr/halshs-00927262 Submitted on 12 Jan 2014 HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

The Marginal Propensity to Consume and Multidimensional Risk Elyès Jouini Ceremade Clotilde Napp CNRS-DRM Diego Nocetti Clarkson University January 14, 2013 Abstract Kimball (1990) established that income risk increases the marginal propensity to consume if and only if absolute prudence is decreasing. We characterize decreasing and increasing multivariate prudence and we show that a multidimensional risk increases the marginal propensity to consume if and only if a matrix-measure of multivariate prudence decreases with wealth, in the sense that its derivative is negative-de nite. 1 Introduction A substantial amount of research has been devoted to understanding the e ect of uncertainty on consumption and saving decisions. In a numerical exercise, Zeldes (1989) showed that the presence of uncertainty has a strong positive e ect on the level and on the slope of the consumption function (i.e. the marginal propensity to consume (MPC)). Kimball (1990a,b) established formally the necessary and su cient condition for the introduction of uncertainty to increase the MPC. He showed that consumption exhibits "excess sensitivity" in the presence of risk if prudence is decreasing in income, where prudence is measured by the index p (x) : Therefore, while p (x) measures the strength of the precautionary saving motive, p 0 (x) captures the response of the MPC to risk 1. Kimball s result pertains to the case in which utility is a function of a single attribute, income. Yet, most consumers face multiple sources of risk. For example, a consumer may select his saving and consumption without having full knowledge of future prices or his future health status. While a number of recent papers have evaluated precautionary saving motives in the presence of multiple risks (e.g. Courbage and Rey (2007), Menegatti (2009), Denuit, Eeckhoudt, and Menegatti (2011)), the e ect of a multidimensional risk on the marginal propensity to consume has not been established. The objective of this note is to ll this gap in the literature. Our analysis complements the results of Jouini, Napp, and Nocetti (2012) -JNN-, who characterize comparative multivariate prudence by making use of a matrix-measure P (x) v000 (x) v 00 (x) 1 Carroll and Kimball (1996) later established conditions for uncertainty to induce a concave consumption function (i.e. for the MPC to decrease with wealth). 1

that captures the intensity of the precautionary saving motive. We use P (x) to de ne decreasing, constant, and increasing multivariate prudence, and we show that the MPC is higher in the presence of a multidimensional risk if and only if P (x) is decreasing in wealth x 0, in the sense that P w (x) is positive-de nite. 2 Preliminaries on multivariate prudence We begin by revisiting the model and the results of JNN. The consumer lives two periods, derives utility from (n+1) attributes, and is endowed with (n+1)-dimensional, increasing and concave rst and second period utility functions u and v: The rst attribute is the income. Many interpretations are possible for the other variables, including a vector of market prices, non-traded commodities (e.g. health status), or social attributes (e.g. social recognition). We let y = (y 0 ; :::; y n ) and x = (x 0 ; :::; x n ) denote the initial endowments of the individual in the (n+1) attributes respectively at the rst and second period. In the rst period, the individual saves an amount s of income. Assuming that current monetary investments only have monetary consequences, this saving enables the individual to obtain 0 s of income at the second period 2. For simplicity of notation, we introduce the function w v 0 ; which represents the second period marginal utility of saving, and we also introduce the vector (1; 0; :::; 0). Under certainty, the consumption/saving problem is max s2r h (s) = u (y 0 s; y 1 ; :::; y n ) + v (x 0 + 0 s; x 1 ; :::; x n ) : (1) The solution s satis es h 0 (s ) = u 0 (y s ) + w (x + s 0 ) = 0: Consider now the case with multivariate risk. There is noise e = (e 0 ; :::; e n ) a ecting the vector x of second period consumption, where E [e] = 0: We denote by ex x + e the vector of second period noisy consumption and by V e [ ij ] with ij = cov (e i ; e j ) ; the (n + 1) (n + 1) variance-covariance matrix of e. The consumption/saving problem becomes max s2r H (s) = u (y 0 s; y 1 ; :::; y n ) + E [v (ex 0 + 0 s; ex 1 ; :::; ex n )] (2) The solution is denoted by bs and is characterized by H 0 (bs) = u 0 (y bs) = E [w (ex + bs 0 )] : An individual is multivariate prudent if bs s for all (z; x). Equivalently, an individual is multivariate prudent if the equivalent precautionary premium (x; e; w) is non-negative, where (x; e; w) is de ned by E [w (ex)] = w (x (x; e; w) ) : (3) It corresponds to the certain reduction of second period income that has the same upward e ect on the optimal levelh of rst i period saving as the introduction of the additional risk. JNN propose P w wij w 0 as a matrix-measure of local multivariate prudence and show that it unambiguously captures the intensity of the precautionary saving motive in a 2 JNN evaluate a more general model in which current monetary investments have multidimensional consequences in the second period. In this paper, we consider the more standard model (e.g. Courbage and Rey (2007), Menegatti (2009), Denuit et al. (2011)) in which second period consequences are unidimensional. 2

multivariate setting for both small and large multidimensional risks. Indeed, they obtain that the precautionary premium is nonnegative (i.e. (x; e; w) 0; for all (x; e)) if and only if the matrix-measure of multivariate prudence P w (x) is positive semide nite for all x. When comparing two agents, they obtain that Agent A is more prudent than Agent B; (i.e., (x; e; w A ) (x; e; w B ) for all (x; e)) if and only if (P w A P w B ) (x) is positive semide nite for all x: 3 Decreasing, constant, and increasing multivariate prudence in the j th attribute Pratt (1964) established the intuitive fact that decreasing absolute risk aversion implies that the risk premium is decreasing in wealth. Kimball (1990b) mapped this result to the case of precautionary saving, establishing that decreasing absolute prudence, as measured by the univariate function that he proposed, implies that the precautionary saving premium is decreasing in wealth. We obtain the following result Proposition 1 The following conditions are equivalent: 1. The precautionary premium is a decreasing (resp. constant, increasing) function in attribute j, i.e. (x;e;w) < 0 (resp. (x;e;w) = 0; (x;e;w) > 0). 2. The matrix P w (x) is positive-de nite (resp. null, negative-de nite). Proof The precautionary premium is a decreasing function of x j if and only if we have (x; e; w) (x + d; e; w) for all d 2 D j with D j = f(d 0 ; ; d n ) : d i = 0; i 6= j; and d j > 0g. Let us introduce v d the utility function v de ned by v d (x) = v(x + d) and let us de ne w d by w d (x 0 ; x 1 ; :::; x n ) = d 0 (x 0 ; x 1 ; :::; x n ) : We clearly have w d (x) = w(x + d) and we check that (x + d; e; w) = (x; e; w d ): We have then the following characterization. The precautionary premium is a decreasing function of x j if and only if we have (x; e; w) (x; e; w d ) for all d 2 D j. From Proposition 3 in JNN, this is equivalent to the statement that P w (x) P w d (x) is positive semi-de nite for all d 2 D j. Remark that P w d (x) = P w (x + d) and that P w (x) P w (x + d) is positive semi-de nite for all d 2 D j if and only if P w (x) is positive semi-de nite. We retrieve the fact that the precautionary saving premium is decreasing (with respect to attribute j) if and only if the matrix measure of multivariate prudence is decreasing (with respect to attribute j) in the sense that its derivative (with respect to attribute j) is negative-de nite. 4 Multivariate prudence and the MPC We are now ready to present our main result. The consumption function is de ned by c(x; ~e) = arg max u(c; y 1 ; :::; y n ) + E [v(~x 0 + 0 (y 0 c); ~x 1 ; :::; ~x n )] 3

where (y 0 ; y 1 ; :::; y n ) is kept xed. The marginal propensity to consume out of wealth is given by c and we want to compare c (x; ~e) with c (x; 0); that is to say, we want to analyze the impact of the multidimensional risk ~e on the marginal propensity to consume out of wealth. In the next, the inverse of c (more precisely, the inverse of the function x 0! c(x; ~e)) is denoted by g(c; x 1 ; : : : ; x n ; ~e 0 ; : : : ; ~e n ): By de nition, it satis es g(c(x; ~e); x 1 ; : : : ; x n ; ~e 0 ; : : : ; ~e n ) = x 0 : For a given function w and a given e X; we also de ne the compensating precautionary premium (X; e; w) by w(x 0 ; : : : ; x n ) = E [w(~x 0 + (x; e; w); ~x 1 ; : : : ; ~x n )] : The compensating precautionary premium is the additional amount of income that induces the consumer to save the same amount in the presence of the multidimensional risk ~e as in the absence of it. The following Proposition establishes the link between changes in the equivalent and compensating precautionary premia and the e ect of the multidimensional risk on the MPC. Proposition 2 The following conditions are equivalent 1. The equivalent precautionary premium (x; e; w) is decreasing (resp. constant, increasing) with respect to x 0 : 2. The compensating precautionary premium (x; e; w) is decreasing (resp. constant, increasing) with respect to x 0 : 3. The marginal propensity to consume out of wealth is higher (resp. the same, lower) in the presence of the multidimensional risk ~e: Proof (1), (2) : When X and e are given and when (x; e; w) is decreasing in x 0, the function x 0! x 0 (x; e; w) is increasing and we denote by f(x 0 ; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) its inverse. By de nition of (x; e; w) we have then w(x) = E [w(f(x 0 ; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) + e 0 ; ~x 1 ; : : : ; ~x n )] and we have then that f(x 0 ; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) = x 0 + (x; e; w): Since (x; e; w) is decreasing in x 0 ; x 0 (x; e; w) increases faster than x 0 and f(x 0 ; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) increases in x 0 at a slower rate than x 0 which gives that (x; e; w) decreases in x 0 : It is easy to check that a similar argument gives that (x; e; w) increases in x 0 when (x; e; w) increases in x 0 : (2), (3): By de nition of g; we have u y 0 (c; y 1 ; :::; y n ) = E [w(g(c; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) + e 0 + 0 (y 0 c); ~x 1 ; :::; ~x n )] (4) and since the left term does not depend on ~e we have u y 0 (c; y 1 ; :::; y n ) = w(g(c; x 1 ; : : : ; x n ; 0; : : : ; 0) + 0 (y 0 c); x 1 ; :::; x n ) 4

By de nition of (x; e; w) we have w(g(c; x 1 ; : : : ; x n ; 0; : : : ; 0) + 0 (y 0 c); x 1 ; :::; x n ) = E [w(g(c; x 1 ; : : : ; x n ; 0; : : : ; 0) + 0 (y 0 c) + e 0 + (x; e; w); ~x 1 ; :::; ~x n )] with x = (g(c; x 1 ; : : : ; x n ; 0; : : : ; 0) + 0 (y 0 c); x 1 ; :::; x n ) : We have then E [w(g(c; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) + e 0 + 0 (y 0 c); ~x 1 ; :::; ~x n )] = E [w(g(c; x 1 ; : : : ; x n ; 0; : : : ; 0) + e 0 + 0 (y 0 c) + and since w is decreasing in x 0 this gives (x; e; w); ~x 1 ; :::; ~x n )] g(c; x 1 ; : : : ; x n ; 0; : : : ; 0) + (x; e; w) = g(c; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ): Di erentiating this equation with respect to c gives g c (c; x 1; : : : ; x n ; e 0 ; : : : ; e n ) (5) = g c (c; x 1; : : : ; x n ; 0; : : : ; 0) +( g c (c; x 1; : : : ; x n ; 0; : : : ; 0) Di erentiating Equation (4) with respect to y 0 gives 2 u (c; y y0 2 1 ; :::; y n ) = 0 ) (x; e; w): g c (c; x 1; : : : ; x n ; 0; : : : ; 0) 0 w E ( Z) x e 0 with Z e = (g(c; x 1 ; : : : ; x n ; e 0 ; : : : ; e n ) + e 0 + 0 (y 0 c); ~x 1 ; :::; ~x n ) : Since u is concave and w decreasing, we have g c 1; : : : ; x n ; 0; : : : ; 0) 0 > 0. If (x; e; w) is decreasing in x 0 ; Equation (5) gives us that g c (c; x 1; : : : ; x n ; e 0 ; : : : ; e n ) < g c (c; x 1; : : : ; x n ; 0; : : : ; 0): The impact of the multidimensional risk is then towards a decrease of g : Since g is the c inverse of the consumption function, this means that the impact of the multidimensional risk is towards an increase of the marginal propensity to consume out of wealth. We have the opposite impact when (x; e; w) is increasing in x 0 : Linking Proposition 2 with Proposition 1 we obtain that a necessary and su cient condition for the MPC to be higher in the presence of the multidimensional risk ~e is that the matrix measure of multivariate prudence is decreasing in wealth, in the sense that P w (x) is positive-de nite. Importantly, this condition implies that the decrease of the usual measure v of prudence, 000 v 00 ; is generally neither su cient nor necessary to establish whether the MPC is higher or lower in the presence of a risk that is multidimensional. Instead, the necessary and su cient condition requires information about preferences towards all the attributes that enter the utility function. 5

An Example To illustrate our results, imagine a world with two tradable goodsa and b. Suppose that in each of two dates the consumer selects how much to purchase of each good and in the rst period the consumer also selects how much to save s out of his or her date 0 income z 0 (in terms of the rst good). The date 1 income in terms of good a is denoted by z 1. Let a i and b i, i = 0; 1; be the amount consumed of the goods at date i; and let q i be the relative price of good b at date i in terms of good a: Then, the budget constraint for date 0 is a 0 + q 0 b 0 = z 0 s and the corresponding constraint for date 1 is a 1 + q 1 b 1 = z 1 + s: We assume that there is uncertainty over the date 1 income and the date 1 relative price. In particular, we assume ez 1 = z 0 + e z and eq 1 = q 0 + e q ; where e z and e q are mean-zero random variables with a variance-covariance matrix V e [ ij ] with ij = cov (e z ; e q ) : We also assume that the date 1 allocation between the two goods is done after the realization of the random shocks. Finally, we assume that the period i utility has a power/cobb-douglas form: u (a i ; b i ) = (a i b i ) 1 ; with + = 1: 3 1 To evaluate the e ect of the multidimensional risk on saving behavior we can proceed in two steps: 1) Choose a i and b i to maximize utility at each date, the level s of saving being given. This yields the lifetime indirect utility function h i 1 h i 1 H (s) = K q 0 (z 0 s) + E q 1 (z 1 + s) ; where K is a constant. 2) Select savings to maximize the indirect utility function. The rst order condition for this problem is h (1 ) q0 (z 0 s) (1 ) = E q1 (z 1 + s) i : Clearly, this is an example of our more general model with y = (z 0 ; q 0 ) and x = (z 1 ; q 1 ). We readily retrieve that the local compensating precautionary premium equals = 1tr [V e P ] ; where the matrix measure of multivariate prudence P is given by 2 (1 + ) z 1 0 (1 ) q0 1 P = (1 ) q0 1 (1 ) [1 + (1 )] 1 z 0 q0 2 : As a consequence, a positive third derivative of the utility function with respect to income is not su cient for a positive precautionary saving motive. Instead, a su cient condition for P to be positive semi-de nite for all z and q; and as a result for multivariate prudence to occur, is 1: Furthermore, the precautionary premium is decreasing in income, and so is positive de nite and the MPC is higher in the presence of the multidimensional risk, if 1 1+ : This contrasts sharply with the classical univariate model in which, given isoelastic preferences, the precautionary premium is unambiguously positive and decreasing in income. P 3 The case of labor income uncertainty with endogenous labor supply is a sub-case of this example in which q = z is the wage rate, b is leisure demand, and a consumption (See Floden, 2006, and Nocetti and Smith, 2011). 6

References [1] Carroll C., Kimball, M. (1996) On the concavity of the consumption function. Econometrica 64, 981-992. [2] Courbage C., Rey B. (2007) Precautionary saving in the presence of other risks. Economic Theory 32, 417-424. [3] Denuit, M., Eeckhoudt, L., Menegatti, M. (2011) Correlated Risks, Bivariate Utility and Optimal Choices. Economic Theory 46, 39-54. [4] Nocetti D., Smith, W.T. (2011). Precautionary saving and endogenous labor supply with and without intertemporal expected utility. Journal of Money, Credit, and Banking 43, 1475-1504. [5] Floden, M. (2006). Labor supply and saving under uncertainty. Economic Journal 116, 721-737. [6] Jouini, E., Napp, C., Nocetti, D. (2012) On Multivariate Prudence. Journal of Economic Theory (To appear). [7] Kimball, M. (1990a). Precautionary saving and the marginal propensity to consume. NBER working paper 3403 [8] Kimball, M. (1990b) Precautionary saving in the small and in the large. Econometrica, 58, 58-73. [9] Menegatti, M. (2009). Precautionary saving in the presence of other risks: A comment. Economic Theory 39, 473-476. [10] Pratt, J.W. (1964) Risk aversion in the small and in the large. Econometrica 32, 122-136. [11] Zeldes, S. (1989) Optimal Consumption with Stochastic Income: Deviations from Certainty Equivalence. Quarterly Journal of Economics 104, 275-298. 7