2014
DOI: 10.4054/demres.2014.31.30
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An empirical analysis of the importance of controlling for unobserved heterogeneity when estimating the income-mortality gradient

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Cited by 6 publications
(5 citation statements)
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“…This implies that our coefficient estimates are very similar to a model without unobserved heterogeneity. Both estimates are in line with the literature (e.g., Kalwij, 2014;Bissonnette et al, 2017;Kalwij et al, 2013).…”
Section: Estimating Ospssupporting
confidence: 91%
See 1 more Smart Citation
“…This implies that our coefficient estimates are very similar to a model without unobserved heterogeneity. Both estimates are in line with the literature (e.g., Kalwij, 2014;Bissonnette et al, 2017;Kalwij et al, 2013).…”
Section: Estimating Ospssupporting
confidence: 91%
“…Both estimates are in line with the literature (e.g. Kalwij (2014), Bissonnette et al (2017) and Kalwij et al (2013)).…”
Section: Objective Survival Probabilitiessupporting
confidence: 91%
“…Both estimates are in line with the literature (e.g. Kalwij (2014), Bissonnette et al (2017) and Kalwij et al (2013)).…”
Section: Objective Survival Probabilitiessupporting
confidence: 91%
“…Results are so far contradictory. Some studies found evidence that selection processes are responsible for the converging hazards at old ages by socioeconomic groups (Ferraro and Farmer 1996;McMunn et al 2009;Dupre 2007;Congdon 1994;Frijters et al 2011;Kalwij et al 2013;Kalwij 2014). Other studies found that selection plays no significant role in this often observed pattern (Lynch 2003;Lauderdale 2001;Herd 2006;Kim and Durden 2007).…”
Section: Discussionmentioning
confidence: 99%
“…This suggests that educational differences in incidence and mortality resulted in the convergence of prevalence, reflecting the bias caused by selection. Other studies focused specifically on mortality by various types of income groups (individual income, household income, income of the spouse and deprivation area index) and found a strong and significant presence of unobserved heterogeneity, even though the attenuation bias that resulted is not particularly big (Congdon 1994;Frijters et al 2011;Kalwij et al 2013;Kalwij 2014).…”
Section: Frailty Models and Differential Mortalitymentioning
confidence: 99%