Table D.3.

Difference between Balanced and Unbalanced Panel Reduced Form Estimates and Tests for Attrition

	Log Wealth			Husband's Health			Wife's Health
	Difference	std.error		Difference	std.error		Difference	std.error
wealth t−1	−0,023	0,031	hlt m t−1	−0,007	0,028	hlt f t−1	−0,031	0,024
wealth t−2	0,038	0,019	hlt m t−2	−0,013	0,011	hlt f t−2	−0,007	0,009
wealth t−1 × t	0,017	0,013	hlt m t−3	−0,014	0,012	hlt f t−3	−0,003	0,010
hlt m t−1	0,258	0,101	hlt m t−1 × t	−0,007	0,006	hlt f t−1 × t	0,001	0,005
hlt m t−2	0,044	0,053	wealth t−1	−0,037	0,017	wealth t−1	−0,039	0,018
hlt m t−1 × t	−0,050	0,019	wealth t−2	−0,004	0,008	wealth t−2	−0,004	0,007
hlt f t−1	0,090	0,108	wealth t−1 × t	0,009	0,004	wealth t−1 × t	0,008	0,004
hlt f t−2	0,012	0,042	hlt f t−1	−0,002	0,004	hlt m t−1	0,002	0,003
hlt f t−1 × t	−0,010	0,022	hlt f t−2	0,004	0,003	hlt m t−2	−0,002	0,002
			hlt f t−1 × t	0,001	0,002	hlt m t−1 × t	−0,001	0,001
Chi-square	19,74		Chi-square	27,81		Chi-square	12,58
p-value	0,013		p-value	0,0019			0,248

Notes: For each variable, the difference between parameter estimate from balanced and unbalanced sample is reported along with standard errors calculated from 50 boostrap replications. "Chi-squae" refers to the Nijman Verbeek (1996) test comparing all parameter estimates.