Startseite Dynamic inefficiency and fiscal interventions in an economy with land and transaction costs
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Dynamic inefficiency and fiscal interventions in an economy with land and transaction costs

  • Martin F. Hellwig ORCID logo EMAIL logo
Veröffentlicht/Copyright: 18. Juni 2021

Abstract

The paper contributes to the discussion on whether real interest rates below real growth rates can be taken as evidence of dynamic inefficiency so that some fiscal intervention may be called for. A seemingly killing objection points to land, a non-produced durable asset in positive supply, as a reason why dynamic inefficiency can be ruled out. If real interest rates were expected to be below real growth rates forever, the value of land would be unbounded, which is incompatible with equilibrium. The paper shows that this objection is not robust to the presence of an arbitrarily small per-unit-of-value transaction cost. The paper also specifies fiscal interventions that provide for Pareto improvements even though they involve a resource cost. For the debate about public debt policy, the land argument is a red herring because it is incompatible with the presence of fiat money and debt denominated in units of fiat money.

JEL Classification: D15; D61; E21; E62; H63

Acknowledgment

Without implicating them, I thank Peter Diamond, Christoph Engel, Christian Hellwig, Hans-Jürgen Hellwig, Christian von Weizsäcker, and two referees for very helpful advice.

Appendix A Proofs

Proof of Proposition 3.1.

I first show that, under the specified assumptions, for any E, a, π, L 0 , the equation

(A.1) u ( E p L 0 ) · p = v ( ( a + p ( 1 π ) ) L 0 ) · ( a + p ( 1 π ) )

has a unique solution p ( E , a , π , L 0 ). This equation is equivalent to the equation

(A.2) u ( E p L 0 ) = v ( ( a + p ( 1 π ) ) L 0 ) · a + p ( 1 π ) p .

If p is close to zero, the left-hand side of (A.2) is close to u ( E ), and the right-hand side of (A.2) is very large. If p is close to (but less than) E / L 0 , the left-hand side of (A.2) is very large, and the right-hand side of (A.2) is close to v ( a L 0 + ( 1 π ) E ) · ( a + ( 1 π ) E / L 0 ). Because both sides of (A.1) are continuous in p, the intermediate-value theorem implies that (A.2) has a solution. Under the given assumptions, the left-hand side of (A.2) is increasing in p, and the right-hand side is decreasing in p. Therefore the solution to (A.2) is unique.

Next I note that, if p t + 1 = p t = p, then a necessary and sufficient condition for a solution to the maximization problem of generation t is given by the equation

(A.3) u ( E p L t ) · p = v ( ( a + p ( 1 π ) ) L t ) · ( a + p ( 1 π ) ) ,

in combination with the constraints in (2.2). Hence if p is equal to the solution p ( E , a , π , L 0 ) to equation (A.1), a necessary and sufficient condition for a solution to the maximization problem of generation t is to have

(A.4) L t = L 0 ,

as well as

(A.5) c 1 t = E p ( E , a , π , L 0 ) L 0

and

(A.6) c 2 t = ( a + p ( E , a , π , L 0 ) ( 1 π ) ) L 0 .

At this point, it is easy to see that the triples ( c 2 t 1 , c 1 t , L t ) that are given by (A.4)–(A.6) satisfy conditions (2.3) and (2.4) for all t. Hence, by setting p t = p ( E , a , π , L 0 ) for all t and using (A.4)–(A.6) to specify an allocation, one obtains a stationary equilibrium. Uniqueness follows upon observing that the equilibrium condition (2.4) implies (A.4) for all t, so (A.3) is equivalent to (A.1), which has p ( E , a , π , L 0 ) as its only solution.

To prove the claimed comparative-statics properties, I note that under the stated assumptions, an increase in E makes the left-hand side of (A.2) go down without affecting the right-hand side. Since, by the above argument, the difference between the left-hand side and the right-hand side is increasing in p. Following an increase in E, therefore, an increase in p is required to restore equality. An increase in L 0 makes the left-hand side of (A.2) go up and the right-hand side go down, so a decrease in p is needed to restore equality.

To see that lim E p ( E , a , π , L 0 ) = , it suffices to observe that, if p ( E , a , π , L 0 ) were bounded as E goes out of bounds, then, for p = p ( E , a , π , L 0 ), the left-hand side of (A.1) would converge to zero and the right-hand side would converge to a positive limit. Similarly, if p ( E , a , π , L 0 ) were bounded as L 0 becomes small, the left-hand side of (A.1) would converge to u ( E ) and the right-hand side of (A.1) would go out of bounds. In either case, the validity of (A.1) at p = p ( E , a , π , L 0 ) would be violated. Hence p ( E , a , π , L 0 ) must satisfy (3.1).  □

Proposition 3.2 follows immediately from Proposition 3.1.

Proof of Proposition 3.3 (a).

The line of argument is the same as in the proof of the First Welfare Theorem for competitive equilibria in a complete market system. Given that, for any t 1, the triple ( c 1 t , c 2 t , L t ) maximizes (2.1) subject to (2.2), it must also be the case that, for any t 1, the pair ( c 1 t , c 2 t ) maximizes (2.1) subject to

(A.7) c 1 t + p t a + p t + 1 ( 1 π ) c 2 t E .

Given the stationarity of the equilibrium, with p t = p ( E , a , π , L 0 ) for all t, and given the strict monotonicity of (2.1), this constraint may be rewritten as

(A.8) c 1 t + ( 1 + r ) 1 c 2 t = E ,

where

(A.9) r : = a p ( E , a , π , L 0 ) π .

If statement (a) of the proposition is false, there exists an alternative allocation { c ˆ 2 t 1 , c ˆ 1 t } t = 1 of nonnegative consumption levels satisfying (3.8) for all t such that

(A.10) c ˆ 2 0 c 2 0

and, for t = 1 , 2 ,  ,

(A.11) u ( c ˆ 1 t ) + v ( c ˆ 2 t ) u ( c 1 t ) + v ( c 2 t ) ,

and at least one of the inequalities in (A.10) and (A.11) is strict. Because, for t 1, the pair ( c 1 t , c 2 t ) maximizes (2.1) subject to (A.8), it follows that, for t 1,

(A.12) c ˆ 1 t + ( 1 + r ) 1 c ˆ 2 t c 1 t + ( 1 + r ) 1 c 2 t

and at least one of the inequalities in (A.10) and (A.12) is strict. The inequalities in (A.12) are equivalent to the inequalities

(A.13) 1 ( 1 + r ) t 1 c ˆ 1 t + 1 ( 1 + r ) t · c ˆ 2 t 1 ( 1 + r ) t 1 c 1 t + 1 ( 1 + r ) t · c 2 t .

Upon adding these inequalities over t = 1 , 2 , and adding (A.10), using the fact that at least one of the inequalities is strict, one obtains

(A.14) c ˆ 2 0 + t = 1 1 ( 1 + r ) t 1 c ˆ 1 t + 1 ( 1 + r ) t · c ˆ 2 t > c 2 0 + t = 1 1 ( 1 + r ) t 1 c 1 t + 1 ( 1 + r ) t · c 2 t ,

where the infinite sums are well defined because r > 0 and the consumption variables are uniformly bounded by E + a L 0 . Upon reordering sums, one finds that (A.14) is equivalent to the inequality

(A.15) t = 1 1 ( 1 + r ) t 1 c ˆ 1 t + 1 ( 1 + r ) t 1 · c ˆ 2 t 1 > t = 1 1 ( 1 + r ) t 1 c 1 t + 1 ( 1 + r ) t 1 · c 2 t 1 ,

which is incompatible with (3.8) holding for all t 1. The assumption that statement (a) of the proposition is false has thus led to a contradiction.  □

Proof of Proposition 3.3 (b).

Given the stationarity of the equilibrium, let c 1 , c 2 be the common values of c 1 t , c 2 t 1 , t = 1 , 2 , By the first-order condition (3.5) and the assumption that a p ( E , a , π , L 0 ) π < 0, there exists a pair ( c ˆ 1 , c ˆ 2 ) such that

(A.16) c ˆ 1 + c ˆ 2 = c 1 + c 2 ,
(A.17) c ˆ 1 < c 1 , c ˆ 2 > c 2 ,
and

(A.18) u ( c ˆ 1 ) + v ( c ˆ 2 ) > u ( c 1 ) + v ( c 2 ) .

Upon setting ( c ˆ 2 t 1 , c ˆ 1 t ) = ( c ˆ 2 , c ˆ 1 ) for all t, one obtains an allocation { c ˆ 2 t 1 , c ˆ 1 t } t = 1 of consumption levels that satisfies (3.8) for all t and that Pareto dominates the equilibrium allocation { c 2 t 1 , c 1 t } t = 1 . Therefore the equilibrium allocation { c 2 t 1 , c 1 t } t = 1 is not weakly efficient.  □

Proof of Proposition 4.1.

For uniqueness and for the comparative statics with respect to E, as well as the limit (4.8), the argument is the same as in the proof of Proposition 3.1, with equation (A.2) replaced by the equation

(A.19) u ( E p L 0 T ) = v ( ( a + p ( 1 π ) ) L 0 + S ) · a + p ( 1 π ) p .

The details are left to the reader. For the comparative statics with respect to T and S, it suffices to observe that increases in T and S make the difference between the left-hand side and the right-hand side of (A.19) go up, so a decrease in p is needed to restore equality in (A.19).  □

Proof of Proposition 4.2.

Dropping the dependence on other parameters, for any T, let p ( T ), c ˆ 1 ( T ) and c ˆ 2 ( T ) be the common values of p t , c ˆ 1 t and c ˆ 2 t 1 , t = 1 , 2 ,  , in the stationary equilibria with parameters T , S = ( 1 σ ) T , E , a , π , L 0 . By the implicit function theorem to (A.19), p ( T ) is continuously differentiable; its derivative is:

(A.20) p ( T ) = 1 L 0 u ( c ˆ 1 ( T ) ) + v ( c ˆ 2 ( T ) ) ( 1 σ ) a + p ( 1 π ) p u ( c ˆ 1 ( T ) ) + v ( c ˆ 2 ( T ) ) a + p ( 1 π ) p v ( c ˆ 2 ( T ) ) a p 2 .

Thus, under the given assumptions on u and v,

(A.21) 1 < p ( T ) L 0 < 0

for all T.

Since

(A.22) c ˆ 1 ( T ) = E p ( T ) L 0 T

and

(A.23) c ˆ 2 ( T ) = ( a + p ( T ) ( 1 π ) ) L 0 + ( 1 σ ) T = a L 0 + ( 1 π ) ( p ( T ) L 0 + T ) + ( π σ ) T ,

it follows that c ˆ 1 ( T ) is decreasing and c ˆ 2 ( T ) is increasing in T.

To assess the welfare implications of the fiscal intervention, I note that people born in date 0, i. e., the old generation at date 1, benefit from the change because their consumption is equal to c ˆ 2 ( T ), which goes up with T. For people born in t 1, the effects of T on the lifetime

(A.24) V ( T ) = u ( E p ( T ) L 0 T ) + v ( ( a + p ( T ) ( 1 π ) ) L 0 + ( 1 σ ) T )

are computed as

(A.25) V ( T ) = u ( c ˆ 1 ( T ) ) + v ( c ˆ 2 ( T ) ) · ( 1 σ ) u ( c ˆ 1 ( T ) ) · p ( T ) L 0 + v ( c ˆ 2 ( T ) ) · ( 1 π ) · p ( T ) L 0 .

Upon using (A.19) to substitute for u ( c ˆ 1 ( T ) ), one further obtains

(A.26) V ( T ) = v ( c ˆ 2 ( T ) ) · ( 1 σ ) a p ( T ) 1 + π v ( c ˆ 2 ( T ) ) a p ( T ) · p ( T ) L 0 .

The second term on the right-hand side is positive because p ( T ) < 0. The first term on the right-hand side is also positive if

1 σ > a p ( T ) + 1 π

or, equivalently,

a p ( T , S , E , a , π , L 0 ) + σ < π .

The proposition follows immediately.  □

From (A.20), one also finds that p ( T ) L 0 > 1. Thus (A.26) implies V ( T ) < v ( c ˆ 2 ( T ) ) [ π σ ]. If π σ, it follows that V ( T ) < 0, as claimed in the text.

Proof of Proposition 4.3.

The argument is the same as in the proof of Proposition 3.1, with equation (A.2) replaced by the equation

(A.27) u ( E p L 0 1 τ ) = v ( R ( τ , s , p ) p L 0 ) · R ( τ , s , p ) ,

where R ( τ , s , p ) = ( 1 τ ) r ( p ) + s. The left-hand side of (A.27) is increasing in p. The term R ( τ , s , p ) on the right-hand side is decreasing in p; the term R ( τ , s , p ) p L 0 inside the marginal utility on the right-hand side is increasing in p, so the right-hand side altogether is decreasing in p. Therefore equation (A.27) has at most one solution. Existence of a solution follows from boundary behaviour and the intermediate-value theorem, as in the proof of Proposition 3.1. For monotonicity with respect to E and the limit in (4.15), the argument is also the same as in the proof of Proposition 3.1. The details are left to the reader.  □

The proof of Propositions 4.4 and 4.5 will make use of the following lemma.

Lemma A.1.

Let ( c 1 ( R ) , c 2 ( R ) ) maximize u ( c 1 ) + v ( c 2 ) under the constraint c 1 + 1 R c 2 = E. Then c 2 ( R ) is increasing in R; c 1 ( R ) is increasing in R if v ( c ) + c v ( c ) 0 for all c and decreasing in R if v ( c ) + c v ( c ) > 0 for all c.

Proof.

The first-order condition for ( c 1 ( R ) , c 2 ( R ) ) is

(A.28) u ( c 1 ( R ) ) = R v ( c 2 ( R ) ) .

Total differentiation yields

(A.29) u ( c 1 ( R ) ) d c 1 = R v ( c 2 ( R ) ) d c 2 + v ( c 2 ( R ) ) d R .

From the constraint, we also have

(A.30) d c 2 = R d c 1 + ( E c 1 ( R ) ) d R .

Upon combining (A.29) and (A.30), one obtains

d c 1 d R = v ( c 2 ( R ) ) + c 2 ( R ) v ( c 2 ( R ) ) u ( c 1 ( R ) ) + R 2 v ( c 2 ( R ) )

and

d c 2 d R = v ( c 2 ( R ) ) u ( c 1 ( R ) ) + R 2 v ( c 2 ( R ) ) + c 2 ( R ) R · u ( c 1 ( R ) ) u ( c 1 ( R ) ) + R 2 v ( c 2 ( R ) ) .

The lemma follows immediately.  □

Proof of Propositions 4.4 and 4.5.

Dropping the dependence on other parameters, for any τ, let p ( τ ), c ˆ 1 ( τ ) and c ˆ 2 ( τ ) be the common values of p, c ˆ 1 t , c ˆ 2 t 1 , t = 1 , 2 ,  , in the stationary equilibria with parameters τ , s = ( 1 σ ) τ , E , a , π , L 0 . I first show that, if r ( p ( τ ) ) < 1 σ, then R ( τ , p ( τ ) ) is increasing in τ. For suppose that, for some τ and Δ > 0, we have

(A.31) R ( τ , p ( τ ) ) R ( τ + Δ , p ( τ + Δ ) ) .

Because, with r ( p ( τ ) ) < 1 σ, R ( τ , p ) is increasing in τ and decreasing in p, it follows that p ( τ + Δ ) > p ( τ ). Then also R ( τ + Δ , p ( τ + Δ ) ) · p ( τ + Δ ), and therefore

(A.32) c ˆ 2 ( τ + Δ ) = R ( τ + Δ , p ( τ + Δ ) ) · ( E c ˆ 1 ( τ + Δ ) ) = R ( τ + Δ , p ( τ + Δ ) ) · p ( τ + Δ ) L 0 1 τ Δ > R ( τ , p ( τ ) ) · p ( τ ) L 0 1 τ = R ( τ , p ( τ ) ) · ( E c ˆ 1 ( τ ) ) = c ˆ 2 ( τ ) .

Since c ˆ 2 ( τ + Δ ) = c 2 ( R ( τ + Δ , p ( τ + Δ ) ) ) and c ˆ 2 ( τ ) = c 2 ( R ( τ , p ( τ ) ) ), by Lemma A.1, (A.32) implies that R ( τ , p ( τ ) ) < R ( τ + Δ , p ( τ + Δ ) ), contrary to (A.31). The assumption that R ( τ , p ( τ ) ) fails to be increasing in τ has thus led to a contradiction and must be false. By Lemma A.1, it follows that c ˆ 2 ( τ ) must also be increasing in τ. The first statement of Proposition 4.5 is thereby proved.

Proposition 4.4 follows because, with R ( τ , p ( τ ) ) is increasing in τ, all generations t 1 are made better off by the change, and with c ˆ 2 ( τ ) increasing in τ, generation 0 is also made better off.

The second statement of Proposition 4.5 follows from the observation that, as R ( τ , p ( τ ) ) is increasing in τ, by Lemma A.1 and the curvature condition (4.23), c ˆ 1 ( τ ) is nondecreasing, and E c ˆ 1 ( τ ) is nonincreasing in τ. Spending on land, p ( τ ) L 0 = ( 1 τ ) ( E c ˆ 1 ( τ ) ), is therefore decreasing in τ. Thus p ( τ ) goes down and r ( p ( τ ) ) goes up as τ is increased.  □

Proof of Proposition 5.1.

Since L 0 and M 0 are strictly positive, any stationary monetary equilibrium satisfies L t > 0 and M t > 0 for all t. In every period, therefore, the rates of return on land and money must be the same, i. e., the prices p t , q t , t = 1 , 2 , must satisfy the equation

(A.33) q t + 1 q t = a + p t + 1 ( 1 π ) p t

for all t. With stationarity, this equation takes the form

(A.34) 1 = a p + 1 π ,

or p = a π , as claimed in the proposition. The equilibrium net real rate of return on land, a p π must therefore be equal to zero. With this rate of return, utility maximization requires that, for any t 1, ( c 1 t , c 2 t ) must maximize u ( c 1 ) + v ( c 2 ) under the constraint c 1 + c 2 = E. Moreover, the first-period savings E c 1 must be equal to the sum p L t + q M t = p L 0 + q M 0 of the values of land and money held. Since p = a π , it follows that q = [ E c 1 a π L 0 ] / M 0 , as claimed in the proposition.

For a monetary equilibrium, q must be positive, i. e. we must have E c 1 > a π L 0 . I claim that this is not possible if a p π 0, where, for simplicity, I have dropped the arguments from p = p ( E , a , π , L 0 ). To prove this claim, suppose that we have E c 1 > a π L 0 and a p π 0. Then, trivially, a π p and therefore

(A.35) r a π r ( p ) and r a π · a π r ( p ) · p .

By (A.34), r a π = 1. By (A.35) and the constraint c 1 + c 2 = E, it follows that

(A.36) c 2 = E c 1 > a π L 0 = r a π · a π · L 0 r ( p ) · p · L 0 .

By the budget constraints in (2.2), r ( p ) · p · L 0 = c 2 ( r ( p ) ), where, for any r, c 2 ( r ) maximizes u ( E 1 r c 2 ) + v ( c 2 ). Thus, (A.36) implies c 2 > c 2 ( r ( p ) ). However, one easily verifies that the function c 2 ( · ) must be nondecreasing. Since c 2 = c 2 ( 1 ) and, by (A.34) and (A.35), 1 = r ( a π ) r ( p ), it follows c 2 c 2 ( r ( p ) ). The assumption that we can have E c 1 > a π L 0 and a p π 0 has thus led to a contradiction and must be false.

Conversely, suppose that a p π < 0, where again p is shorthand for p ( E , a , π , L 0 ). Then a π < p and therefore

(A.37) r a π > r ( p ) and r a π · a π < r ( p ) · p .

Using (A.34), (A.37) and the constraint c 1 + c 2 = E, one now obtains

E c 1 = c 2 > c 2 ( r ( p ) ) = r ( p ) · p · L 0 > r a π · a π · L 0 = a π · L 0 ,

so q = [ E c 1 a π L 0 ] / M 0 is strictly positive. One easily verifies that the specified price sequence and allocation is indeed a stationary monetary equilibrium.

To see that this equilibrium Pareto-dominates the stationary equilibrium under laissez-faire without money, it suffices to observe that second-period consumption is higher – so generation 0 is better off – and the equilibrium rate of return on assets is also higher – so later generations are also better off.

Pareto efficiency follows by the arguments of Okuno and Zilcha (1980) for the case when the interest rate is equal to the growth rate of the economy.  □

Appendix B A model with real capital bearing risky returns

In this appendix, I extend the model of Sections 2 and 3 to allow for real capital, a produced non-durable asset with risky returns. In any period t, a member of generation t can use some of the endowment E to make a real investment I t , which earns a random return θ ˜ t + 1 I t in period t + 1. I assume that the random variables θ ˜ t + 1 , t = 1 , 2 ,  , are independent and identically distributed, with

(B.1) E θ ˜ t + 1 > 1 and Pr { θ ˜ t + 1 = 0 } > 0 .

To keep the exposition simple, I assume that utility functions are logarithmic, so in the absence of taxes and transfers generation t 1 now chooses a plan ( c 1 t , c ˜ 2 t , L t , I t ) to maximize

(B.2) ln ( c 1 t ) + E ln ( c ˜ 2 t )

under the constraints

(B.3) c 1 t = E I t p t L t

and

(B.4) c ˜ 2 t = θ ˜ t + 1 I t + r ( p t + 1 ) p t + 1 L t ,

where, as before, r ( p t + 1 ) = a + ( 1 π ) p t + 1 . A stationary equilibrium involves a land price sequence { p t } t = 1 , with p t = p for all t, for some p, and an allocation { c ˜ 2 t 1 , c 1 t , L t , I t } t = 1 such that the plans ( c 1 t , c ˜ 2 t , L t , I t ) solve the different generations’ maximization problems and, moreover, markets clear in all periods.

Using (B.3) and (B.4), one can rewrite (B.2) as

(B.5) ln ( E I t p L t ) + E ln ( θ ˜ t + 1 I t + r ( p ) p L t ) .

Given that the random variables θ ˜ t + 1 , t = 1 , 2 ,  , are independent and identically distributed, with p t = p for all t, the problem of choosing I t and L t to maximize (B.5) has a unique solution ( I , L ). Moreover, by standard calculations this solution takes the form

(B.6) I = φ ( r ( p ) ) · E 2 , L = 1 p ψ ( r ( p ) ) · E 2 ,

where

(B.7) φ ( r ( p ) ) + ψ ( r ( p ) ) = 1

for all p. The associated values for consumption plans are c 1 = E 2 and c ˜ 2 = [ θ ˜ t + 1 φ ( r ( p ) ) + r ( p ) ψ ( r ( p ) ) ] · E.[24]

Lemma B.1.

Under the given assumptions about utility functions and about the random returns on real investments, for any r > 0, the functions φ and ψ in (B.6) satisfy

φ ( r ) > 0 if and only if r < E θ ˜ t + 1 . ψ ( r ) > 0 for all r > 0 ,

with ψ ( r ) = 1 for r E θ ˜ t + 1 . At any r ( 0 , E θ ˜ t + 1 ), φ ( r ) is decreasing and ψ ( r ) is increasing in r.

Proof.

By (B.6) and (B.7), the first term in (B.5) is equal to ln ( E 2 ) and the second term equal to

(B.8) E ln ( θ ˜ t + 1 φ + r ( p ) ψ ) + ln ( E 2 ) .

The pair ( φ ( r ( p ) ) , ψ ( r ( p ) ) ) must maximize (B.8) under the constraint (B.7). By the strict concavity of the logarithm, it follows that r ( p ) E θ ˜ t + 1 implies φ ( r ( p ) ) = 0 and ψ ( r ( p ) ) = 1.

If r ( p ) < E θ ˜ t + 1 , then, at the point φ = 0, ψ = 1, the derivatives of (B.8) with respect to φ and ψ are

E θ ˜ t + 1 θ ˜ t + 1 φ + r ( p ) ψ = E θ ˜ t + 1 r ( p ) > 1 and E r ( p ) θ ˜ t + 1 φ + r ( p ) ψ = 1 ,

so an increase in φ combined with an equal-sized decrease in ψ raises (B.8), proving that the pair ( φ , ψ ) = ( 0 , 1 ) does not maximize (B.8) subject to (B.7) and that, therefore, φ ( r ( p ) ) > 0 and ψ ( r ( p ) ) < 1 if r ( p ) ( 0 , E θ ˜ t + 1 ).

Maximization of (B.8) also requires ψ ( r ( p ) ) > 0 whenever r ( p ) > 0; if we had r ( p ) > 0 and ψ ( r ( p ) ) = 0, then, because Pr { θ ˜ t + 1 = 0 } > 0, the derivative of (B.8) with respect to ψ would be unboundedly positive.

At any r ( p ) ( 0 , E θ ˜ t + 1 ), we thus have φ ( r ( p ) ) > 0 and ψ ( r ( p ) ) > 0, so the pair ( φ ( r ( p ) ) , ψ ( r ( p ) ) ) must satisfy the first-order condition for an interior maximum,

(B.9) E θ ˜ t + 1 r ( p ) θ ˜ t + 1 φ + r ( p ) ψ = 0 .

Because the logarithmic function exhibits decreasing absolute risk aversion, by standard arguments, (B.9) implies that φ ( r ) is decreasing and ψ ( r ) is increasing in r at r = r ( p ) ( 0 , E θ ˜ t + 1 ).  □

Proposition B.2.

For given E, a, π, L 0 , the model with real investments and with logarithmic utility has a unique stationary equilibrium. The equilibrium land price is increasing in the endowment E, with

(B.10) lim E p ( E , a , π , L 0 ) = .

If E is sufficiently large, the stationary-equilibrium net real rate of return on land,

(B.11) r ( p ( E , π , L 0 ) ) 1 = a p ( E , a , π , L 0 ) π ,

is negative, and the stationary equilibrium is not weakly efficient.

Proof.

Market clearing requires that the (stationary) demand for land L be equal to the available stock L 0 . By (B.6), this condition holds if and only if the equilibrium land price satisfies the equation

(B.12) p = 1 L 0 · ψ ( r ( p ) ) · E 2 .

If p is close to zero, r ( p ) is very large so the right-hand side of (B.12) is E 2 L 0 > p. If p is very large, the right-hand side of (B.12) is no larger than E 2 L 0 , which is less than p. Existence of a market-clearing land price follows by the intermediate-value theorem. Uniqueness follows by the monotonicity of the difference p 1 L 0 · ψ ( r ( p ) ) · E 2 in p. Monotonicity of the equilibrium land price in E also follows by the monotonicity of the difference p 1 L 0 · ψ ( r ( p ) ) · E 2 . Finally, (B.10) follows from the observation that, by definition, r ( p ) > 1 π and therefore ψ ( r ( p ) ) > ψ ( 1 π ) for all p. Thus

p ( E , a , π , L 0 ) 1 L 0 · ψ ( 1 π ) · E 2

for all π, and (B.10) follows because, by Lemma B.1, ψ ( 1 π ) > 0.

The last statement of the proposition follows by the same argument as in Propositions 3.2 and 3.3.  □

Remark B.3.

In any stationary equilibrium, whether efficient or not, the expected rate of return on real investment exceeds the real growth rate, i. e., E θ ˜ t + 1 > 1 for all t.

Proposition B.4.

Suppose that E is large enough so that the stationary-equilibrium net real rate of return on land (B.11) under laissez-faire is negative, i. e., p ( E , a , π , L 0 ) > a π . Then, for

(B.13) T = S = E 2 ( 1 φ ( 1 ) ) a π L 0 ,

there exists a Pareto-dominating stationary equilibrium of the model with real investments and with logarithmic utility, with a lump-sum tax T in the first period of people’s lives and a lump-sum transfer S in the second period, such that the stationary equilibrium land price is p ˆ = a π , with r ( p ˆ ) = 1, and the stationary-equilibrium real investment is I ˆ = φ ( 1 ) E 2 .

Proof.

Given T, S, p ˆ, and r ( p ˆ ) = 1, the problem of any generation t 1 is to maximize (2.2) under the constraints

(B.14) c 1 t = E T I t p L t

and

(B.15) c ˜ 2 t = S + θ ˜ t + 1 I t + p L t .

This is equivalent to the problem of maximizing (2.2) under the consolidated constraint

(B.16) c ˜ 2 t = S + θ ˜ t + 1 I t + E T I t c 1 = ( θ ˜ t + 1 1 ) I t + E c 1 .

The consolidated constraint is exactly the same as in a situation without the lump-sum tax and transfer, but with the price p ˆ and rate of return on land r ( p ˆ ) = 1. The solution to the problem of maximizing (2.2) subject to (B.16) is therefore also the same, namely c 1 t = E 2 , I t = φ ( 1 ) · E 2 , and c ˜ 2 t = ( θ ˜ t + 1 1 ) φ ( 1 ) · E 2 + E 2 . By (B.14) and (B.13), the demand for land is

1 p · E 2 T φ ( 1 ) · E 2 = 1 p a π L 0 ,

which is equal to the stock of land L 0 if and only if p = a π . Pareto dominance of the equilibrium with lump-sum taxes and transfers over the laissez-faire equilibrium follows because the rate of return on land is higher and second-period expected utility is also higher.  □

Remark B.5.

Relative to the stationary equilibrium with lump-sum taxes and transfers in Proposition B.4, the laissez-faire equilibrium exhibits an overinvestment in real capital.

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Published Online: 2021-06-18
Published in Print: 2022-02-28

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