Table 2—

Correlation between Innate Health and Observable Characteristics

A. Demographic characteristics				B. Chronic conditions
	Innate permanent health (ηi)		Probabil. healthy type (ηg(i))		Innate permanent health (ηi)		Probabil. healthy type (ηg(i))
	Fixed effects	System-GMM			Fixed effects	System-GMM
Height (inches)	0.009	0.004	0.013	Stroke	−0.135	−0.082	−0.184
	(0.001)	(0.001)	(0.002)		(0.027)	(0.026)	(0.042)
Weight (pounds)	−0.001	−0.000	−0.001	Hypertension	−0.034	−0.006	−0.053
	(0.000)	(0.000)	(0.000)		(0.006)	(0.005)	(0.009)
Female	0.008	0.006	0.007	Diabetes	−0.101	−0.041	−0.143
	(0.008)	(0.009)	(0.014)		(0.011)	(0.011)	(0.019)
College	0.053	−0.028	0.080	Cancer	0.002	−0.002	−0.018
	(0.005)	(0.005)	(0.009)		(0.011)	(0.009)	(0.020)
Black	−0.063	−0.046	−0.056	Lung disease	−0.123	−0.094	−0.173
	(0.011)	(0.010)	(0.017)		(0.013)	(0.015)	(0.021)
Income	0.003	0.001	0.004	Heart attack	−0.057	−0.048	−0.084
	(0.001)	(0.000)	(0.001)		(0.016)	(0.017)	(0.029)
Constant	−0.508	−0.182	0.171	Arthritis	−0.074	−0.039	−0.115
	(0.073)	(0.081)	(0.129)		(0.008)	(0.007)	(0.013)
				Asthma	−0.049	−0.032	−0.059
					(0.010)	(0.009)	(0.014)
				Memory loss	−0.206	−0.131	−0.320
					(0.031)	(0.027)	(0.041)
				Learning disord.	−0.116	−0.095	−0.183
					(0.017)	(0.022)	(0.030)
				Constant	0.042	0.031	0.937
					(0.002)	(0.002)	(0.004)

Note: The table presents the coefficients of a regression of innate health on the listed characteristics. Innate permanent health (η_i) refers to the estimated fixed effect from Equations (1) and (3) as indicated. Probability healthy type (η_g(i)) refers to a dependent variable that is a dummy variable that takes the value of one if the individual is of the healthy type as defined in the estimation of Equation (2). The standard deviation of ${\widehat{\eta }}_i$ is 0.244 for fixed effects, and 0.209 for System-GMM. Regressions are fitted to the PSID. Standard errors, clustered at the household level, are reported in parentheses.