Constrained School Choice



We need the following 2 lemmas for the proof of Theorem 7.5.

Lemma A.7 Let φ be a mechanism such that for some 1 k m, Oψ(P, k) NW (P )
IR(P). Suppose Q Eψ(P,k) with φ(Q) / PE(P). Then, there exist p2, a set of
students
CI = {i1 , . . . , ip} and a set of schools CS = {s1 , . . . , sp} such that for each school
s
Cs, ^(Q)(s)| = qs and for each ir CI, srPirsr+1 = φ(Q')(ir), where sp+1 = s1.

Proof Similar to a part of Step 1 of (iv) (i) in Ergin (2002, proof of Theorem 1).

Lemma A.8 Let P be a school choice problem. Let μ S(P). Define Qi := μ(i) for all
i
I. Then, γ(Q) = μ and Q Eγ(P, 1) Eγ(P, k) for all 2 k m.

Proof Follows immediately from Theorem 5.3 and Proposition 6.2.               

Proof of Theorem 7.5 We show that (i) (ii) (i) (iii) (i) (iv) (i).

(i) (ii): Suppose P is a school choice problem with S(P)2. Hence, there is a
stable matching μ different from the student-optimal stable matching μ
I. By optimality
of μ
I, for each student i I, μIRiμ, and for at least one student i I, μIPiμ. So,
μ
PE(P). By Lemma A.8, there exists a profile Q QI(1) such that (a) for each
student i
I, Qi = μ(i); (b) γ(Q) = μ; and (c) Q Eγ(P, 1). By Lemmas A.2 and A.7
there exist a set of students
CI = {i1 , . . . , ip} and a set of schools Cs = {s1, . . . , sp} such
that for each
s Cs, γ(Q)(s) = qs , and for each il CI, slPil sl+1 = γ(Q)(il). Note
that since a student is assigned to at most one school, for any two schools
s, s Cs ,
γ(Q)(s)
γ(Q)(s') = 0. For any two subsets I', I'' I with I' I'' = 0 and any school s
we will write f
s(I') < fs(I'') to say that for all students i' I' and i'' I'', fs(i') < fs(i'').
Step 1
For each student il CI, il γ(Q)(sl+1) and fsl (γ(Q)(sl)) < fsl (il).

By construction, iι γ(Q)(sz). Let Q' = (sι,Q-il). Since Q Eγ(P, 1), γ(Q')(iι) = iι.
In particular, f3l(γ(Q')(sι)) < fsl(iι). By (a), γ(Q')(sι) = γ(Q)(sι), and Step 1 follows.

Step 2 The priority structure f admits a weak X -cycle.

From Step 1 it follows that the priority structure has the following form

fsι

fs2        ..

.         fsp-1

fsp

.

.
.

γ(Q)(s1)

.

.

.

.
.

γ(Q)(s2)

.

.

.
.

.

γ(Q)(sp-1)

.

.

.
.
.

γ(Q)(sp)

.

.

.

i1

.

.

.

.

i2

.

.

.

.

ip-1

.

.

.

.

ip

.

.

.

31



More intriguing information

1. Lumpy Investment, Sectoral Propagation, and Business Cycles
2. Pupils’ attitudes towards art teaching in primary school: an evaluation tool
3. The name is absent
4. The name is absent
5. Fiscal Insurance and Debt Management in OECD Economies
6. The name is absent
7. Job quality and labour market performance
8. A parametric approach to the estimation of cointegration vectors in panel data
9. Human Rights Violations by the Executive: Complicity of the Judiciary in Cameroon?
10. Outsourcing, Complementary Innovations and Growth
11. Infrastructure Investment in Network Industries: The Role of Incentive Regulation and Regulatory Independence
12. Do imputed education histories provide satisfactory results in fertility analysis in the Western German context?
13. Economies of Size for Conventional Tillage and No-till Wheat Production
14. Regional science policy and the growth of knowledge megacentres in bioscience clusters
15. Knowledge, Innovation and Agglomeration - regionalized multiple indicators and evidence from Brazil
16. Financial Markets and International Risk Sharing
17. Tax Increment Financing for Optimal Open Space Preservation: an Economic Inquiry
18. Natural hazard mitigation in Southern California
19. Herman Melville and the Problem of Evil
20. The name is absent