The impact of retirement on health: quasi-experimental methods using administrative data

Table 3 Effect of retirement on health for all unionized workers, administrative data (1996–2011)

Coefficient [Standard Error]	Row Mean	SOO	SOO & Risk	IV
Hypertension	50 %	0.0794	0.0661	−0.00174
		[0.0441]	[0.0422]	[0.0611]
Diabetes	20 %	0.0844**	0.0890**	0.0613
		[0.0282]	[0.0325]	[0.0384]
Asthma	10 %	0.0207	0.0112	−0.0405**
		[0.0119]	[0.0135]	[0.0177]
Arthritis	29 %	0.0839*	0.0839	−0.0187
		[0.0445]	[0.0542]	[0.0658]
Major Depression	4 %	0.0122	0.0161	0.00148
		[0.0113]	[0.0115]	[0.0180]
Inpatient Visits	0.11	0.0745***	0.0545**	0.0228
		[0.0179]	[0.0207]	[0.123]
Outpatient Visits	4.83	1.784***	1.680***	0.746
		[0.173]	[0.176]	[0.485]
N	1,008	1,008	706	1,008
Excluded Instrument F-Stat		N/A	N/A	68.22

***p < 0.01, ** p < 0.05, * p < 0.1
Results presented are derived from fourteen independent regression models using administrative data. Disease prevalence outcome variables reflect whether the individual had —this year, or previously—received a diagnosis for this illness, using the algorithm described in the Data section. For inpatient and outpatient visits, the outcome variables were the number of face-to-face, unique visits of that type
The first column presents the row means, or cross-sectional prevalence, in this sample. The second column reports the coefficients on retirement using traditional selection on observables models. The third column reports the coefficients on retirement using traditional selection on observables models, but including a control for risk-score at age 61. The fourth column reports the coefficients on retirement where retirement is estimated using instrumental variables as described in the Empirical Framework section. The sample consisted of unionized men ages 55–70
Standard errors were clustered by country plant. Controls for plant and an age polynomial were included

ISSN: 1472-6963