Evaluation of the Australian Wage Subsidy Special Youth ...

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Friedlander, D.; Greenberg, D.H. and Robins, P.K. (1997) "Evaluating Government Training Programs for the Economically Disadvantaged", Journal of Economic Literature, Vol. 35, No. 4., pp1809-1855. De La Dehesa, G. (1997) "Preventing long-term unemployment: discussion" p349-356 in Snower, D.J. and De La Dehesa, G. [eds.](1997) "Unemployment policy: government options for the labour market", Cambridge University Press. DEET (1994) "Newstart evaluation: interim report on effectiveness" Sakkara, M.; Beyers, S.; Buchanan, K.; Gatenby, P.; Patston, K; Department of Employment, Education and Training, Evaluation and Monitoring Branch, Economic Policy Analysis Division, Australian Government Publishing Service, Canberra. DEETYA (1996) "Working Nation: evaluation of the employment, education, and training elements", Department of Employment, Education, Training and Youth Affairs, Australian Government Publishing Service, Canberra. Dehija, R. and Wahba, S. (1998) "Propensity score matching methods for non-experimental causal studies" NBER Working Paper no. 6829. Dehija, R. and Wahba, S. (1999) "Causal effects in non-experimental studies: re-evaluating the evaluation of training programs", Journal of the American Statistical Association 94 (448), pp 1053-1062. Dewald, W. G.; Thursby, J. G; and Anderson, R.G.; (1986), “Replication in Empirical Economics: The Journal of Money, Credit and Banking Project", The American Economic Review, Vol. 76, No. 4. pp 587-603. DEYA (1980) "Employer and manpower services: a guide issued by the Department of Employment and Youth Affairs", pamphlet March 1980, Department of Employment and Youth Affairs, Canberra. DEYA (1983) "Youth Policies, programs and issues an Australian background paper", Department of Education and Youth Affairs Australian Government Publishing Service, Canberra. Dillman, D.A.; Eltinge, J.; Groves, R.M. and Little, R.J.A.;(2002) "Survey nonresponse in design, data collection and analysis" pp3-26 in Groves, R.M.; Dillman, D.A.; Eltinge, J.; Little, R.J.A.; [eds.] (2002)"Survey non-response", Wiley Series in Survey Methodology, John Wiley New York. Dreze, J.H. and Sneessens, H. (1997) "Technological development, competition from low wage economies and low-skilled unemployment" Chapter 8 pp250-277 in Snower, D.J. and De La Dehesa, G. [eds.](1997) "Unemployment policy: government options for the labour market", Cambridge University Press. Edwards, S. (1987) "Do manpower programmes enhance employment opportunities? An evaluation of two programmes in Wollongong and Newcastle", Industrial Relations Research Centre Monograph (May 1987) Industrial Relations Research Centre University of New South Wales. Eichler, M. and Lechner, M. (1998) "An evaluation of public employment programmes in the East German state of Sachsen-Anhalt" Discussion Paper no.9815, Volswirtschaftliche Abteilung, University of St. Gallen, Switzerland. EPAC (June 1992) "Unemployment in Australia" Economic Planning Advisory Council, Council Paper no.51, Australian Government Publishing Service, Canberra. Falaris, E.M. and Peters, H.E. (1998) "Survey attrition and schooling choices", The Journal of Human Resources Vol. 33 (2) pp 531-554. 304
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i Evaluation of the Australian Wage
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v Declaration I hereby declare that
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in method and assumptions. The orth
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3.3 Data and variables used for est
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List of Tables and Figures Figure 1
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Table A2.0b Univariate Probit of pa
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xv Abstract The job subsidy Special
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1 1: Wage subsidy theory and evalua
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3 programs of providing benefits an
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5 The empirical methods used for th
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7 how the outcomes from these metho
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9 employment effect could be mainly
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11 Real Wage Employment Figure 1.1:
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13 are two types of unemployment, s
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15 Real wages are predetermined whe
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17 Vella (1998), Heckman, Lalonde a
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19 Each individual has two potentia
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21 this case, if there was no data
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23 correlation for the error of the
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25 Table 1.3 collects together some
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27 Table 1.3 Brief overview of rece
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29 necessarily brief. Then, the evi
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31 limited applications, such as fo
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33 who participated. It was conclud
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35 term unemployed for over 12 of t
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37 importance of the subsidy second
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39 differences in characteristics t
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41 Matching methods are theoretical
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43 2.2 SYETP implementation As SYET
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45 In July1978, the subsidy was cal
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47 In January 1979, variations were
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49 benefits were paid at a slightly
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51 2.2.3 SYETP operation Earlier re
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53 ceiling constraints’ applied t
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55 Award Conditions for employment
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57 Harris (2001) claims that during
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59 display boards listed details of
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61 restriction was used. If there w
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63 to the end of the 1980’s. An o
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65 for teens overall had risen, emp
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67 for Australia using data from th
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69 training, can provide a form of
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71 employer survey estimates were t
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73 provisions for SYETP and extende
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75 withdrawals occurred at similar
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77 Table 2.17 State usage of progra
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79 2.3.1 Stretton (1982, 1984) 53 S
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81 Stretton attributed the success
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83 included in the employment model
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85 completers. Their argument was t
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87 was an issue for the data. Unlik
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89 Table 2.21 Richardson (1998) Est
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91 2.3.5 General discussion Some ge
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93 Controlling for differences in i
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95 taken by a previous researcher a
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97 If employability is assumed to b
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99 suitability of the underlying as
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101 Heckman, Lalonde and Smith (199
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103 effect on employment relative t
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105 Table 3.1, Part A Employment eq
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107 (-1.80) (-1.80) Tradesperson -0
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109 duration of Pre-June 1984 unemp
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111 4: Study 2 Propensity score mat
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113 Propensity score matching provi
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115 4.2 Propensity score matching m
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117 covariates that influence the a
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119 (7) E(Y c | D=1) = E P(X) {E[Y
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121 For CIA to be plausible, a ‘r
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123 employment and programme partic
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Highest qualification in 1984 (1.56
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127 4.6 Distribution of the propens
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129 Figure 4.3 Histograms of estima
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131 Table 4.5 Summary statistics fo
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133 Table 4.5, that the variance of
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135 Table 4.6 Matching results, Sin
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137 Table 6.3 using Swedish data wi
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139 matching is the ability to weed
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141 Table 4.7 Matching results, All
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143 the unobserved component. If th
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145 5: Study 3 Attrition and non-re
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147 occur by design, because the mi
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149 (1990) extended and improved th
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151 (10) A* = δ 0 + δ 1 x +δ 2 z
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153 again from September to Novembe
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155 5.5.2 Univariate examination of
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157 lower, the job lengths are only
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159 Work limited by health 1984 0.1
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161 The characteristics of the SYET
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163 para-professional Mother not em
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165 comparison group where the shar
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167 5.5.4 Attrition: natural attrit
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169 both sources that impose change
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171 para-professional Father not em
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173 work in later sections, this su
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175 Table 5.6: Effect of selection/
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177 appropriate to discard these fr
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179 Australia/Tasmania. Amongst tho
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181 Table 5.5a Summary statistics b
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183 5.6.1.2 Effects of the non-resp
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185 3 years + -0.35 -0.47 -0.34 -0.
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187 5.7 Multivariate analysis of ef
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189 proportion of time spent unempl
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191 post-school qualification, and
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193 Generally, those variables foun
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195 longj0 Longest job by 1984 < 1
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197 adopted in order to maintain co
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199 6: Study 4 Weighting to counter
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201 Table 6.1, part A Employment eq
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203 Methodist 0.133 0.261 (0.77) (1
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205 CEP referrals 1984 0.143* 0.128
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207 6.2 Results of weighting the PS
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209 The distribution of the propens
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211 Table 6.3 Weighted probit used
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213 (0.76) Tradesperson mtrad 0.20
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215 Table 6.5 Summary statistics fo
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217 Table 6.7 Matching results, sin
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219 6.3 Discussion The comparison o
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221 the selection into SYETP and th
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223 Heteroskedasticity is a violati
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225 Table 7.1, Part A Employment eq
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227 (1.26) (1.28) (1.16) Mothers oc
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229 Other Post-School qualification
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231 7.1.2 Exclusion restriction in
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233 Finally, the third panel of new
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235 Table 7.2 summary of changes to
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237 schooling that was statisticall
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239 (0.25) (0.21) 3 years + -0.50 -
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241 Table 7.4 Summary of distributi
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243 7.2.2 Propensity score matching
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245 original model, but with the pe
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247 maintained, then the Heckman bi
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249 Table 7.6 Weighted Probit used
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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
Page 283 and 284: 267 Table A2.0b Univariate Probit o
Page 285 and 286: 269 Religion brought up in (1.52) (
Page 287 and 288: 271 hq9_84 Year 9 of school or less
Page 289 and 290: 273 Table A2.1 Continued Means and
Page 291 and 292: 275 mtrad Tradesperson 0.04 0.04 0.
Page 293 and 294: 277 Year 9 of school or less -0.19
Page 295 and 296: 279 Table A2.3 Probit of SYETP part
Page 297 and 298: 281 (0.22) (0.44) (0.67) (0.89) Tra
Page 299 and 300: 283 Table A2.5a Univariate probit f
Page 301 and 302: 285 Manager/professional/para-profe
Page 303 and 304: 3 years + -0.04 (2.13)* CEP referra
Page 305 and 306: 289 Table A2.6 Part A Employment eq
Page 307 and 308: 291 Table A2.6 Part B Selection/par
Page 317 and 318: 301
Page 319: BLMR Bureau of Labour Market Resear
Page 323 and 324: Heckman J.J. and Smith, J. A. (1998
Page 325 and 326: Lewis, H.G. (1963) "Unionism and re
Page 327 and 328: Quandt, R. (1972) "A new approach t
Page 329 and 330: Stromback, M. and Dockery, A. (2000
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