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Table 3 Selected difference in differences probit regression statistics for the incidence of employment of Primary Applicants of Family Stream and Skill Stream visas aged 18-54

From: Skilled migrants and labour market integration: how important is the selection process?

Treatment population

GSMs only

GSM and employer sponsored migrants

Regression specification

1

2

3

4

1

2

3

4

Per cent correctly predicteda

0.7502

0.7719

0.7723

0.7758

0.7854

0.8044

0.8057

0.8083

 

Of those employed

0.8441

0.8895

0.8837

0.8805

0.8840

0.9133

0.9082

0.9082

 

Of those not employed

0.5550

0.5275

0.5409

0.5584

0.5261

0.5181

0.5362

0.5456

Likelihood

−6211.1

−5846.8

−5803.2

−5753.2

−6612.5

−6197.4

−6155.7

−6101.6

R2

 

0.1772

0.2255

0.2313

0.2379

0.2182

0.2673

0.2722

0.2786

Treatment effectsb

0.1437

0.1158

0.1144

0.1081

0.1205

0.0936

0.0895

0.0853

  

(0.0248)

(0.0257)

(0.0263)

(0.0275)

(0.0205)

(0.0205)

(0.0208)

(0.0218)

 

For men

0.1526

0.1289

0.1229

0.1094

0.1162

0.0938

0.0867

0.0788

  

(0.0263)

(0.0273)

(0.0279)

(0.0288)

(0.0212)

(0.0210)

(0.0212)

(0.0218)

 

For women

0.1287

0.0941

0.1003

0.1060

0.1288

0.0934

0.0949

0.0979

  

(0.0224)

(0.0229)

(0.0235)

(0.0253)

(0.0192)

(0.0195)

(0.0200)

(0.0217)

  1. Source: Regressions calculated using STATA on pooled data reported for visa principal applicants in the initial waves of LSIA 3 and cohorts 1 and 2 of CSAM;
  2. Control population refers to Family Stream migrants and treatment period reported by CSAM data standard errors in parentheses; pooled sample size is 11,973 for Family Stream and GSM migrants, and 14,367 for Family Stream, GSM and Employer Sponsored migrants; proportion of pooled sample employed is 67.5% for GSMs only, and 72.4% for GSM and Employer Sponsored migrants; treatment effect calculated by evaluating predicted probabilities of employment implied by the estimated model, via the “predictnl” Stata command; all models interact all covariates with the gender dummy variable; specification 1 includes covariates for marriage, employed spouse, dependent children, onshore visa, and time in Australia; specification 2 augments specification 1 to include English language and age covariates; specification 3 augments specification 2 to include education qualifications covariates; specification 4 augments specification 3 to include a wide range of covariates including reasons for migrating, country of origin and state of residence;
  3. aPredicted employment evaluated using threshold probability of 50%;
  4. bTreatment effect = population average impact of treatment on probability of employment for treated population in treatment period (see Puhani, 2012)