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8/16/2019 Border (2000) Notes on the Arrow–Debreu–McKenzie Model of an Economy. California Institute of Technology
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CALIFORNIA INSTITUTE OF TECHNOLOGY
Division of the Humanities and Social Sciences
Brief Notes on the
Arrow–Debreu–McKenzie Model
of an Economy
KC Border
January 2000v. 2012.08.28::12.50
1 CommoditiesThe first primitive concept is that of a commodity. A commodity is anygood or service that may be produced, consumed, or traded. Commoditiesmay distinguished by date, location, and state of the world. For mathemat-ical simplicity we usually assume there is a finite number ℓ of commodities.The commodity space is thus R ℓ.
2 Tastes
The next concept is that of an idealized consumer or household. A con-sumer is partially described by a consumption set X , which is a subset of the commodity space. Elements x of X are ordered lists of quantities of commodities consumed. If xk
8/16/2019 Border (2000) Notes on the Arrow–Debreu–McKenzie Model of an Economy. California Institute of Technology
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KC Border Arrow–Debreu–McKenzie Model 3
4 Resources
The third element in the description of an economy is the aggregate endow-ment ω ∈ R ℓ. We typically assume ω ≧ 0, but that is mainly a definition of what it means to be a resource.
5 Allocations
An economy is thus summarized by a list
E =
(X i,≽i)mi=1, (Y j)
n j=1, ω
.
An allocation for the economy E is a list
(x1, . . . , xm, y1, . . . , yn)
satisfyingxi ∈ X i i = 1, . . . ,m
y j ∈ Y j j = 1, . . . , n
m
i=1
xi = ω +n
j=1
y j.
A natural question is whether allocations exist at all. Let X = ∑m
i=1X i.
The question is whether X ∩ (Y + ω) ̸= ∅. There are a couple of ways toguarantee this. One is to assume 0 ∈ Y j (possibility of inaction) for each pro-ducer and that each consumer satisfies ω i ∈ X i. Then (ω1, . . . , ωm, 0, . . . , 0)is an allocation. If we don’t wish to assume ωi ∈ X i, we might assumethe existence of x̂i ∈ X i with x̂i ≪ ωi, and assume that Y exhibits freedisposability. (There are other reasons we may make this assumption. Doyou see why it guarantees the existence of allocations?)
6 Efficiency
An allocation (x̄1, . . . , x̄m, ȳ1, . . . , ȳn) is inefficient3 if there is some other
allocation (x1
, . . . , xm
, y1
, . . . , yn
) such that
xi ≽i x̄i for all i,
3Or Pareto dominated
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v. 2012.08.28::12.50
http://dx.doi.org/10.1111/j.1467-999X.1956.tb00097.xhttp://dx.doi.org/10.1111/j.1467-999X.1960.tb00275.xhttp://www.jstor.org/stable/1912505http://www.jstor.org/stable/1909294http://www.jstor.org/stable/1907777http://www.jstor.org/stable/2525394