Evaluation of the Australian Wage Subsidy Special Youth ...
Evaluation of the Australian Wage Subsidy Special Youth ... Evaluation of the Australian Wage Subsidy Special Youth ...
216 10 Treated propensity scores, Untreated propensity scores, 5 0 0 .2 .4 .6 attrition weight kernel densities of weightd propensity scores, treated vs untreated Figure 6.6 Kernel density plot of attrition weighted propensity scores, before matching Note: Epanechnikov kernel.
217 Table 6.7 Matching results, single nearest neighbour with replacement, within caliper, weighting the propensity with combined weights for attrition, non-response and design Match with caliper width 0.001 Match with caliper width 0.005 Match with caliper width 0.01 Match with caliper width 0.02 Match with caliper width 0.05 Difference in employment 150 for 0.08 0.06 0.02 0.02 0.02 matched treated and comparisons T statistic 1.57 151 1.19 0.14 0.14 0.14 Number of SYETP matched 87 99 102 102 103 Number of comparison which satisfy 80 89 91 91 92 the caliper rule Number of times used 1 73 80 81 81 82 2 7 8 9 9 9 More than 2 1 1 1 1 Mean difference in propensity score 0.0002 0.0004 0.0005 0.0005 0.0009 between single nearest neighbour matched treated and comparisons Standard deviation 0.0002 0.0006 0.0012 0.0012 0.0035 Mean bias 11.04 11.85 11.73 11.73 11.84 Common support – 1 case dropped. Weighting protocol: weight propensity, weight the match using the treated weight only. The weighted mean bias is calculated using svymean in Stata. 150 Ever employed in 1986 survey. 151 Probability of (0.22) for acceptance of the null hypothesis.
- Page 181 and 182: 165 comparison group where the shar
- Page 183 and 184: 167 5.5.4 Attrition: natural attrit
- Page 185 and 186: 169 both sources that impose change
- Page 187 and 188: 171 para-professional Father not em
- Page 189 and 190: 173 work in later sections, this su
- Page 191 and 192: 175 Table 5.6: Effect of selection/
- Page 193 and 194: 177 appropriate to discard these fr
- Page 195 and 196: 179 Australia/Tasmania. Amongst tho
- Page 197 and 198: 181 Table 5.5a Summary statistics b
- Page 199 and 200: 183 5.6.1.2 Effects of the non-resp
- Page 201 and 202: 185 3 years + -0.35 -0.47 -0.34 -0.
- Page 203 and 204: 187 5.7 Multivariate analysis of ef
- Page 205 and 206: 189 proportion of time spent unempl
- Page 207 and 208: 191 post-school qualification, and
- Page 209 and 210: 193 Generally, those variables foun
- Page 211 and 212: 195 longj0 Longest job by 1984 < 1
- Page 213 and 214: 197 adopted in order to maintain co
- Page 215 and 216: 199 6: Study 4 Weighting to counter
- Page 217 and 218: 201 Table 6.1, part A Employment eq
- Page 219 and 220: 203 Methodist 0.133 0.261 (0.77) (1
- Page 221 and 222: 205 CEP referrals 1984 0.143* 0.128
- Page 223 and 224: 207 6.2 Results of weighting the PS
- Page 225 and 226: 209 The distribution of the propens
- Page 227 and 228: 211 Table 6.3 Weighted probit used
- Page 229 and 230: 213 (0.76) Tradesperson mtrad 0.20
- Page 231: 215 Table 6.5 Summary statistics fo
- Page 235 and 236: 219 6.3 Discussion The comparison o
- Page 237 and 238: 221 the selection into SYETP and th
- Page 239 and 240: 223 Heteroskedasticity is a violati
- Page 241 and 242: 225 Table 7.1, Part A Employment eq
- Page 243 and 244: 227 (1.26) (1.28) (1.16) Mothers oc
- Page 245 and 246: 229 Other Post-School qualification
- Page 247 and 248: 231 7.1.2 Exclusion restriction in
- Page 249 and 250: 233 Finally, the third panel of new
- Page 251 and 252: 235 Table 7.2 summary of changes to
- Page 253 and 254: 237 schooling that was statisticall
- Page 255 and 256: 239 (0.25) (0.21) 3 years + -0.50 -
- Page 257 and 258: 241 Table 7.4 Summary of distributi
- Page 259 and 260: 243 7.2.2 Propensity score matching
- Page 261 and 262: 245 original model, but with the pe
- Page 263 and 264: 247 maintained, then the Heckman bi
- Page 265 and 266: 249 Table 7.6 Weighted Probit used
- Page 267 and 268: 251 Table 7.7 Summary of distributi
- Page 269 and 270: 253 8: Summary and Conclusions The
- Page 271 and 272: 255 over which it ran, the review m
- Page 273 and 274: 257 the Heckman and PSM methods wer
- Page 275 and 276: 259 posited that that such sensitiv
- Page 277 and 278: 261 Description Derivation and deta
- Page 279 and 280: Appendix 2 Tables 263
- Page 281 and 282: 2 years 0.28 0.07 (1.70) (1.70) 3 y
217<br />
Table 6.7 Matching results, single nearest neighbour with replacement, within caliper,<br />
weighting <strong>the</strong> propensity with combined weights for attrition, non-response and design<br />
Match<br />
with<br />
caliper<br />
width<br />
0.001<br />
Match<br />
with<br />
caliper<br />
width<br />
0.005<br />
Match<br />
with<br />
caliper<br />
width<br />
0.01<br />
Match<br />
with<br />
caliper<br />
width<br />
0.02<br />
Match<br />
with<br />
caliper<br />
width<br />
0.05<br />
Difference in employment 150 for 0.08 0.06 0.02 0.02 0.02<br />
matched treated and comparisons<br />
T statistic 1.57 151 1.19 0.14 0.14 0.14<br />
Number <strong>of</strong> SYETP matched 87 99 102 102 103<br />
Number <strong>of</strong> comparison which satisfy 80 89 91 91 92<br />
<strong>the</strong> caliper rule<br />
Number <strong>of</strong> times used<br />
1 73 80 81 81 82<br />
2 7 8 9 9 9<br />
More than 2 1 1 1 1<br />
Mean difference in propensity score 0.0002 0.0004 0.0005 0.0005 0.0009<br />
between single nearest neighbour<br />
matched treated and comparisons<br />
Standard deviation 0.0002 0.0006 0.0012 0.0012 0.0035<br />
Mean bias 11.04 11.85 11.73 11.73 11.84<br />
Common support – 1 case dropped. Weighting protocol: weight propensity, weight <strong>the</strong> match using <strong>the</strong><br />
treated weight only. The weighted mean bias is calculated using svymean in Stata.<br />
150 Ever employed in 1986 survey.<br />
151 Probability <strong>of</strong> (0.22) for acceptance <strong>of</strong> <strong>the</strong> null hypo<strong>the</strong>sis.