goback discussion of gonzalez and shi an equilibrium
play

GoBack Discussion of Gonzalez and Shi An Equilibrium Theory of - PowerPoint PPT Presentation

GoBack Discussion of Gonzalez and Shi An Equilibrium Theory of Learning, Search, and Wages Robert Shimer November 19, 2009 Partial Equilibrium Models existence of a reservation wage Dirichlet: Rothschild Gaussian: DeGroot general


  1. GoBack

  2. Discussion of Gonzalez and Shi “An Equilibrium Theory of Learning, Search, and Wages” Robert Shimer November 19, 2009

  3. Partial Equilibrium Models existence of a reservation wage Dirichlet: Rothschild Gaussian: DeGroot general conditions: Burdett-Vishwanath “Discussion of Gonzalez and Shi” -p. 2

  4. Partial Equilibrium Models existence of a reservation wage Dirichlet: Rothschild Gaussian: DeGroot general conditions: Burdett-Vishwanath results: reservation wage declines with duration individual-specific job finding rate increases job finding rate conditional on duration may or may not fall “Discussion of Gonzalez and Shi” -p. 2

  5. Partial Equilibrium Models existence of a reservation wage Dirichlet: Rothschild Gaussian: DeGroot general conditions: Burdett-Vishwanath results: reservation wage declines with duration individual-specific job finding rate increases job finding rate conditional on duration may or may not fall simple case: search intensity model “Discussion of Gonzalez and Shi” -p. 2

  6. Search Intensity Model a worker contacts the market at an unknown rate, a h or a l prior of a h is µ ∈ (0 , 1) α ( µ ) = a h µ + a l (1 − µ ) the worker chooses search intensity at those moments, θ , at cost θc succeeds in finding a job with probability f ( θ ) she cannot distinguish why a job was not found a job generates flow income y “Discussion of Gonzalez and Shi” -p. 3

  7. Search Intensity Model a worker contacts the market at an unknown rate, a h or a l prior of a h is µ ∈ (0 , 1) α ( µ ) = a h µ + a l (1 − µ ) the worker chooses search intensity at those moments, θ , at cost θc succeeds in finding a job with probability f ( θ ) she cannot distinguish why a job was not found a job generates flow income y Bellman equation: � y � � � � � rV ( µ ) = max α ( µ ) f ( θ ) r − V ( µ ) − θc − V ′ ( µ )( a h − a l ) f ( θ ) µ (1 − µ ) θ “Discussion of Gonzalez and Shi” -p. 3

  8. Results search intensity falls with unemployment duration (i.e. with µ ) change in α ( µ ) f ( θ ( µ )) is ambiguous no change in wages obviously, but in contrast to reservation wage models “Discussion of Gonzalez and Shi” -p. 4

  9. Results search intensity falls with unemployment duration (i.e. with µ ) change in α ( µ ) f ( θ ( µ )) is ambiguous no change in wages obviously, but in contrast to reservation wage models proof: see Gonzalez and Shi “Discussion of Gonzalez and Shi” -p. 4

  10. Continuous Time Model � � workers: rV ( µ ) = max θ α ( µ ) f ( θ )( J e ( w ( θ )) − V ( µ )) + V ′ ( µ ) φ ( µ, θ )) α ( µ ) = a h µ + a l (1 − µ ) φ ( µ, θ ) = − ( a h − a l ) f ( θ ) µ (1 − µ ) J e ( w ) = w/r “Discussion of Gonzalez and Shi” -p. 5

  11. Continuous Time Model � � workers: rV ( µ ) = max θ α ( µ ) f ( θ )( J e ( w ( θ )) − V ( µ )) + V ′ ( µ ) φ ( µ, θ )) α ( µ ) = a h µ + a l (1 − µ ) φ ( µ, θ ) = − ( a h − a l ) f ( θ ) µ (1 − µ ) J e ( w ) = w/r firms: c = f ( θ ) θ J f ( w ( θ )) J f ( w ) = ( y − w ) /r “Discussion of Gonzalez and Shi” -p. 5

  12. Continuous Time Model � � workers: rV ( µ ) = max θ α ( µ ) f ( θ )( J e ( w ( θ )) − V ( µ )) + V ′ ( µ ) φ ( µ, θ )) α ( µ ) = a h µ + a l (1 − µ ) φ ( µ, θ ) = − ( a h − a l ) f ( θ ) µ (1 − µ ) J e ( w ) = w/r firms: c = f ( θ ) θ J f ( w ( θ )) J f ( w ) = ( y − w ) /r solve for w ( θ ) using the firms’ problem: � y � � � � � − V ′ ( µ )( a h − a l ) f ( θ ) µ (1 − µ ) rV ( µ ) = max α ( µ ) f ( θ ) r − V ( µ ) − θc θ identical to the single-agent decision problem “Discussion of Gonzalez and Shi” -p. 5

  13. Block Recursivity note that it was not necessary to keep track of the belief distribution but in steady state, this is not really a big deal we can therefore study a standard search model “Discussion of Gonzalez and Shi” -p. 6

  14. Standard Search Model workers: rV ( µ ) = α ( µ ) f ( θ )( J e ( φ e ( µ )) − V ( µ )) + V ′ ( µ ) φ u ( µ )) α ( µ ) = a h µ + a l (1 − µ ) φ u ( µ ) = − ( a h − a l ) f ( θ ) µ (1 − µ ) a h µ φ e ( µ ) = a h µ + a l (1 − µ ) J e ( µ ) = w ( µ ) /r firms: c = f ( θ ) � J f ( g ( µ )) dF ( µ ) θ J f ( µ ) = ( y − w ( µ )) /r Nash bargaining: J f ( µ ) = J e ( µ ) − V ( µ ) F ( µ ) is the appropriate stationary distribution “Discussion of Gonzalez and Shi” -p. 7

  15. Results µ falls during an unemployment spell V is increasing in µ w is increasing in V summary: reemployment wage is decreasing in duration job finding probability is decreasing in duration “Discussion of Gonzalez and Shi” -p. 8

  16. Summary learning in search is a neglected and likely important topic Gonzalez and Shi’s analysis is clever and very clean but other frameworks are also useful for addressing these questions partial equilibrium search and bargaining value-added of competitive search may be clearer out of steady state “Discussion of Gonzalez and Shi” -p. 9

Recommend


More recommend