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

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

Good sch

Good sch

Good sch

Good sch

0.444

0.185

0.815

0.484

0.370

524.7

-0.037

0.073

-0.073

-0.052

0.023

0.055

0.341

0.199

0.801

0.670

0.517

711.7

-0.103

0.075

-0.075

-0.031

0.048

0.066

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.