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Table 8 Policy simulation results with utility of mid-experience teachers at bad schools increased by 20%

From: Matching strategies of teachers and schools in general equilibrium

Simulation results     Differences (Simulation results - base case)   
  Mkt Entry Search Pr. \(\left ({\gamma _{j,k^{o}}^{k}}\right)\) Match Pr. \(\left ({P_{j,k^{o}}^{k}}\right)\) N Δ Mkt Entry \({\Delta \gamma _{j,k^{o}}^{k}}\) \({\Delta P_{j,k^{o}}^{k}}\) Δ % N
   Bad sch Good sch Bad sch Good sch    Bad sch Good sch Bad sch Good sch  
Low/bad 0.444 0.185 0.815 0.484 0.370 524.7 -0.037 0.073 -0.073 -0.052 0.023 0.055
Mid/bad 0.341 0.199 0.801 0.670 0.517 711.7 -0.103 0.075 -0.075 -0.031 0.048 0.066
High/bad 0.257 0.131 0.869 0.803 0.529 437.5 -0.073 0.018 -0.018 0.009 0.038 0.014
Low/good 0.357 0.433 0.567 0.366 0.626 2238.3 0.022 0.067 -0.067 -0.022 0.020 -0.022
Mid/good 0.341 0.210 0.790 0.542 0.633 3791.3 0.013 0.021 -0.021 -0.011 0.018 -0.012
High/good 0.239 0.050 0.950 0.683 0.648 3692.5 0.015 -0.017 0.017 0.033 0.005 -0.002
  1. ‘Mkt Entry’ is the likelihood of a teacher type j,k o deciding to enter the transfer market. ‘Search Pr. \(\boldsymbol {\left (\gamma _{j,k^{o}}^{k}\right)}\)’ is the directed search probabilities of a representative teacher of type j,k o toward a school type k, conditional on deciding the enter the transfer market. ‘Match Pr. \(\boldsymbol {\left (P_{j,k^{o}}^{k}\right)}\)’ is the probability of a teacher of type j,k o successfully matching with a school type k, conditional on searching in that market.