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Evaluation of the Australian Wage Subsidy Special Youth ...

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96<br />

those who did not. Modelling only <strong>the</strong> employment infers that <strong>the</strong> selection onto <strong>the</strong><br />

programme was a random process. The selection problem arises where programme<br />

participants are not selected randomly from <strong>the</strong> population. The aim <strong>of</strong> <strong>the</strong> programme is<br />

to improve employability. Employability after <strong>the</strong> programme is not observed, but instead<br />

post-programme employment is observed. The probability <strong>of</strong> participating is not<br />

observed, but participation is observed. The evaluation <strong>the</strong>n needs to resolve <strong>the</strong> link<br />

between employment and programme participation. The selection modelling problem<br />

occurs if <strong>the</strong>re are unobserved characteristics affecting both participation and postprogramme<br />

employment, for example <strong>the</strong>ir employability before <strong>the</strong> programme.<br />

3.2.2 The estimated model<br />

Richardson (1998) states his estimated model is <strong>of</strong> <strong>the</strong> form used by van de Ven and van<br />

Praag (1981). In van de Ven and van Praag (1981) <strong>the</strong> model was used for <strong>the</strong> decision to<br />

prefer health insurance with a deductible, to one with complete coverage, and <strong>the</strong> sample<br />

selection problem arose as a result <strong>of</strong> non-response. Their extension to <strong>the</strong> Heckman<br />

(1979) method <strong>of</strong> sample selection control was to apply it in <strong>the</strong> probit analysis context,<br />

where not only <strong>the</strong> first but also <strong>the</strong> second stage has a discrete dependent variable.<br />

Maddala (1983) points out that <strong>the</strong> econometric discussion <strong>of</strong> <strong>the</strong> consequences <strong>of</strong> selfselectivity<br />

began with <strong>the</strong> studies <strong>of</strong> Gronau (1974), Lewis (1974) and Heckman (1974),<br />

but that it was not until Heckman (1976) that <strong>the</strong> two stage selection model was<br />

suggested as <strong>the</strong> solution. Essentially, by fully modelling <strong>the</strong> entry into participation, <strong>the</strong>n<br />

allowing a correction factor for <strong>the</strong> participation to be included in <strong>the</strong> employment model,<br />

<strong>the</strong> sample selection process affecting employment can be reasonably accounted for.<br />

However, <strong>the</strong> bivariate probit can also be seen as a system <strong>of</strong> simultaneous equations, a<br />

simultaneous probit model. More recently, Knapp and Seaks (1998) describe a two<br />

equation recursive probit model and note that <strong>the</strong> bivariate probit model can be analogous<br />

to <strong>the</strong> results by Lahiri and Schmidt (1978) for <strong>the</strong> triangular system <strong>of</strong> simultaneous<br />

equations with cross equation error correlation.

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