Table 8.

Matching Estimates of the Effect of Job Loss on Health Care Use

	Layoff	Bussiness closure
Regulary take drugs	0.0175 (0.0222)	−0.0127 (0.0298)
Doctors visits	1.0482 (0.6546)	0.6272 (0.7349)
6+ Doctors visits	0.0114 (0.0324)	0.0335 (0.0390)
Num. night hosp	0.4506 (0.3545)	1.1279 (0.9206)
1+ night hosp	0.0368 (0.0255)	0.0022 (0.0340)
Observation (control + treated)	1000	636

^***p < 0.01,

^**p < 0.05,

^*p < 0.1.

Estimation using the nearest-neighbor matching estimator (NNM) with one neighbour by treated observation. The average of the difference between the observed and matched observation along with standard errors ( in parenthesis) is reported.

The match is done exactly by wave, and by the nearest-neighbor on a propensity score. The propensity score is obtained using a logit regression with the same set of variables as those used in Table 4 and in which we add variable health condition. Finally we add the health variables directly to the NNM matching set to obtain a better match on these variables. The sample is restricted to respondents who are employed at the current wave.