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207<br />

6.2 Results <strong>of</strong> weighting <strong>the</strong> PSM<br />

Weighting <strong>the</strong> Heckman bivariate probit is a relatively simple task <strong>of</strong> ensuring <strong>the</strong><br />

weights are used in estimating <strong>the</strong> model. In contrast, weighting <strong>the</strong> PSM requires a little<br />

more attention. Frölich et al. (2001) is one <strong>of</strong> <strong>the</strong> few applications <strong>of</strong> PSM found where<br />

weights have been applied to reflect <strong>the</strong> selective nature <strong>of</strong> <strong>the</strong> sample surveyed. As <strong>the</strong><br />

application <strong>of</strong> weights in PSM is not generally treated in <strong>the</strong> literature, details <strong>of</strong> <strong>the</strong><br />

approach are made clear. 146<br />

6.2.1 Weighting protocol<br />

In order to correctly adjust <strong>the</strong> PSM for <strong>the</strong> attrition, two steps need to be taken. The<br />

weighting protocol steps are shown in Table 6.2. The probit model <strong>of</strong> SYETP used to<br />

estimate <strong>the</strong> propensity scores, must be weighted with <strong>the</strong> attrition weight. The common<br />

support for <strong>the</strong> weighted propensity needs to be checked. Once again, <strong>the</strong> minimum and<br />

maximum <strong>of</strong> <strong>the</strong> weighted SYETP propensity scores are used to define <strong>the</strong> common<br />

support. Once <strong>the</strong> matches have been found for <strong>the</strong>se estimated propensity scores, <strong>the</strong>n<br />

<strong>the</strong> final match needs to be re-weighted. The balance <strong>of</strong> <strong>the</strong> treatment group in <strong>the</strong><br />

population is <strong>the</strong> only consideration. The weights that formerly applied to <strong>the</strong> comparison<br />

cases are <strong>the</strong>n discarded. Instead, <strong>the</strong> weight that applies to <strong>the</strong> SYETP case to which<br />

<strong>the</strong>y are matched is donated to <strong>the</strong> comparison case. In this way, <strong>the</strong> final match is<br />

weighted using only <strong>the</strong> weights <strong>of</strong> <strong>the</strong> treated. This is done so that only <strong>the</strong><br />

characteristics <strong>of</strong> <strong>the</strong> treated have influence, as <strong>the</strong> parameter <strong>of</strong> interest is <strong>the</strong> impact <strong>of</strong><br />

treatment on <strong>the</strong> treated. One o<strong>the</strong>r important step also applies when weighting. In<br />

assessing <strong>the</strong> standardized bias for <strong>the</strong> performance <strong>of</strong> <strong>the</strong> match, weighted mean and<br />

variance statistics must be used to construct <strong>the</strong> standardized bias.<br />

Table 6.2 Weighting protocol steps<br />

• Weight <strong>the</strong> propensity probit<br />

• Weight <strong>the</strong> final match, using only <strong>the</strong> weight <strong>of</strong> <strong>the</strong> treated; where comparison<br />

case used with replacement, sum <strong>the</strong> applicable treated case weights.<br />

146 I am grateful to Michael Lechner who in response to an email query made clear <strong>the</strong> steps in <strong>the</strong> protocol.

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