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Matching as Signal

Matching as Signal. Kyushu University Nobuaki Hori. Introduction. Motivation Why is ranking of universities (vertically and/or horizontally) stable, (in some cases,) irrelevantly to the quality of research or instruction ? ⇒Matching + Signaling Matching between workers and schools

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Matching as Signal

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  1. Matching as Signal Kyushu University Nobuaki Hori 産業組織研究会

  2. Introduction • Motivation • Why is ranking of universities (vertically and/or horizontally) stable, (in some cases,) irrelevantly to the quality of research or instruction ? • ⇒Matching + Signaling • Matching between workers and schools • Names of universities work as “signals”

  3. Introduction • Signaling with a continuum of differential types • Mailath (1987): direct choice of vertical signal (education) • This model : matching → Pooling is robust • Matching between the workers and univ. • Epple, Romano and Sieg (2006), Akabayashi and Naoi (2008) ↑Univ. are intrinsically differentiated. • This model: potentially identical

  4. Introduction • Matching tournament • Cole, Mailath and Postlewaite (1992, 95, 98, 2001), Hopkins(2006) : matching is goal. • This model: matching is instrument.

  5. Main results • Various types of ranking are realized as a self-enforcing belief • While potentially identical, highly ranked universities can enjoy the status by charging higher tuition fees. • When matching is assortative, a rent absorption of tuition fee implements efficient level of educational performance.

  6. Model • Workers (=students) • heterogeneous in innate abilities, a • Educational performance, e • workplace productivity • cost of performance • Assumptions

  7. Model • Utility function • But e and a are not observable ⇒ Incentives for Signaling • Matches between workers and universities work as a signaling device.

  8. Timing • Universities simultaneously set tuition fees p(j) ↓ • Students and universities make one-to-one matches, bargaining over educational performances e ↓ • Workers are paid w(s) in the labor market.

  9. Model • Universities • Continuous, indexed by • ⇒ Positive measure of students can not go to universities • Lexicographic Preference (1)p (2)e • Interpretation of educational performance • educational service offered by universities • score of achievement test prior to entrance

  10. Model • Assumptions for the labor market • A worker’s info. • Perfect competition

  11. Equilibrium Concepts • Perfect Bayesian Nash eq. • Stable matching

  12. Image of self-enforcing rank • Universities are ranked by • ⇒ Matching is “assortative”

  13. A social belief • J (set of university) could have some pooling sub-ranges,

  14. A social belief • : The probability that the innate ability of the graduate is higher than that of . • When the both belong to a same sub-range • Otherwise

  15. The social belief (Image M=2)

  16. Matching stage • is given. • stable matching

  17. Matching stage Lemma 1 If an equilibrium contains a pooling range for any pair universities which belong to it, • : equilibrium performance of a • : equilibrium payment of a Lemma 2 In equilibrium,

  18. Matching stage • rational expectations • In equilibrium,

  19. Image of stable match (separating)

  20. Boundary conditions • Initial boundary condition • Boundary condition for two ranges

  21. Image of stable match (separating)

  22. Fee setting stage Definition Lemma 3

  23. Graphical image

  24. Equilibrium performances

  25. Equilibrium performances

  26. Tuition fees

  27. Equilibrium performances

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