Fluctuations

Consumption and Investment under Uncertainty

Three steps in the development of consumption modeling

Keynesian

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worked well in cross-section studies with *a*>0,
0<*b*<1. Not consistent with time series evidence. Led
to

Permanent income (Friedman, -57) – Life Cycle (Modigliani) hypothesis.

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Distinguishes life time wealth and transitory income changes. Relation between income and consumption depends on relation between income changes and lifetime wealth. Compare

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No account taken for second moments, effects of uncertainty.

Consumption and investment under uncertainty.Precautionary savings. Leland (-68), Kimball (-90)

Irreversible investments. Option value of Waiting. Pindyck (-91), McDonald & Siegel (-86).

Permanent Income, Precautionary Savings and Liquidity Constraints

Consider the problem

Use the Bellman equation

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FOC:

Use the Envelope theorem

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So

This is the Euler equation for consumption.

From we can also derive the result that all
agents should invest in the risky asset if it has an expected
return that is higher than *R*_{t+1}. This
also if they have very high risk aversion. To see this write as

The Covariance term is zero when w is unity. So cannot hold then.

Some particular Euler Equations

Non-stochastic interest rate.

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Quadratic utility

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This is the Hall equation. No variable known in
*t *is correlated with *e*_{t+1}. Can be tested using OLS.

The Hall Equation as a First Order Linear Approximation

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Note that low relative risk aversion and *r>**r* gives high
consumption growth. Why? Note also that by taking a first order
approximation we disregard third moments in utility and second
moments in consumption – certainty equivalence.

Examples of analytical solutions.

**A**. Quadratic
utility, constant interest rate, only income risk, finite
horizon.

Simplify *r=**r*.

From intertemporal (collapsed) budget we know that

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Then using we get

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Certainty equivalence.

Look at *r*=*r=*0. Then perfect smoothing

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This is the* Modigliani Life Cycle
Hypothesis.*

Let *T=**¥** *and *r*=*r*>0.
Then

the *Friedman Permanent Income Hypothesis.*

No labor income, interest rate risk (

multiplicative), CRRA (e.g. log), infinite horizon, time autonomous problem (zi.i.d.).

. This case we solved in MATFUII and showed that for log utility

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where 1/(1+r ) is discount factor. Note that log *W*_{t }follows
a random walk. A kind of certainty equivalence since for log
utility income and substitution effects cancel.

**C.** Only labor
income risk (*additive*) and normal i.i.d. innovations,
finite horizon, CARA (exponential) utility. Simplify and set *r*=*r=*0.
The consumer solves

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Assume a process for *yt *, for example

.

with e *t+*1* *N(0,s 2).* *Guess
that

.

By using that if * *then we can check that this satisfies the
Euler equation. The budget constraint implies

With the expressions for expected consumption
and income given by and , after taking expected values as of *t,
*simplifies to

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Note the problem with long and infinite horizons, consumption may be negative.

Quantifying Precautionary Savings

Take the Euler equation

Note that if *U’ *is convex the LHS
is increasing in a mean preserving risk increase. Increases in
risk thus has to be matched by decreasing consumption today and
increasing expected consumption tomorrow. Both helps restore .

Do Taylor approximation of letting *r*=*r*

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or

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*pa *and *pr *are the absolute and
relative coefficients of prudence.

Liquidity Constraints

All derivations above have assumed that the individual can save or borrow to smooth consumption so that the Euler equation is satisfied. But borrowing may, for several reasons, not be available in the required amount to make the Euler equation satisfied. In discrete time it is easy to show that the Euler equation for a period when the individual is liquidity constrained is given by

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where we, just for simplicity assumed that the
market interest rate coincides with the subjective discount rate.
We let l
*t *denote the
shadow value (Lagrange multiplier) on the liquidity constraint
that financial assets have to be non-negative (*A**t **³** *0 " *t*). Certainly
all extra income the individual receives in *t *will be
consumed as long as l *t *>
0, i.e., as long as marginal utility today is higher than
expected marginal utility tomorrow.

Now consider previous periods. Let us assume that the liquidity constraint is not binding then. For these periods the Lagrange multiplier is zero so the standard Euler equation holds implying

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This means that the liquidity constraint
affects consumption also in previous periods. Let us think of
this as a three period problem. We then understand that some
extra income in period *t-*1 will be smoothed out for
consumption in period *t-*1 and *t – *over two,
rather than three periods as in the non-constrained case. We thus
see a higher propensity to consume out of income (but lower than
1) than in the risk-neutral non-constrained case. This is going
to look exactly as if the individual reduced precautionary
savings in response to a positive income shock. In empirical
tests it is thus difficult or impossible to distinguish
precautionary savings from potentially binding future liquidity
constraints.

The Lucas Critique and Some Empirical Consumption Tests and Puzzles

The Lucas Critique

Sample moments between observed macro variables
– like consumption, disposable income and output –
change when policy change. This since optimum decision rules
change with policy. Econometric models can thus only be used in
short-term forecasting and can "provide *no* useful
information as to the actual consequences of alternative economic
policies".

MPC example

Assume that disposable income follows

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Then

use then we may calculate MPC

If r is close to unity, MPC is close to unity. Now let there be a temporary lump sum transfer t to the house hold. A naive Keynesian would say that this increase consumption almost one for one. But,

Calculate MPC out of the transfer

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So if MPC is estimated on income and then used
to predict effects of fiscal policy we get wrong results (if *r* ¹ 0). Must have an *economic
*model to understand the effects of policy changes.

A generalization of .

If

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then

Tests and Puzzles

Hall -78

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Can be tested by adding variables known in *t
*to an OLS regression. Finds no influence from *ct-1-s *and
*yt- s*. *S&P *stock market index has a significant
influence. Suggested explanation – slow adjustments.

Carrol and Summers -89

Strong correlation long run growth in aggregate income and consumption in cross country study. Also at individual level. Appears that consumption grows one for one also with expected growth in income.

Potential explanations;

Liquidity constraints – must in such case be almost everybody. Most people have only very low financial savings.

Flavin -81, JPE

"Excess Sensitivity" to predicted changes in income.

Consumption change to predicted changes in income, e.g., when new pensions are paid out not when they are decided upon.

Campbell and Deaton -89

"Excess Smoothness".

Recall and . There we see that

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C&D estimates a second order process for income

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with *r=*0.442. An increase in growth signals future high growth.
Then a shift in income today has a very large effect on permanent
income so consumption should change very much. In this case

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Instead they find that the coefficient is
around 1 and only 1/2 for non-durables. So consumption is *excessively
smooth*. This relies on non-stationary income.

Excess sensitivity and excess smoothness is two sides of the same coin. When expected future income increases consumption rise less then permanent income but responds when expectations are realized.

Caballero QJE -90 discusses precautionary
savings as an explanation for excess sensitivity and excess
smoothness. Assume that expected volatility of future earnings
increase in the level (e.g., if *y *is a log random walk).
Then a positive shock to expected future earnings increase
precautionary savings so consumption does not respond one for
one. When realized risk disappears so consumption increase.