Table 2.

Spouse prescription usage - Conditional fixed effects logistic regressions.

	Model 1		Model 2		Model 3
	Spouse prescription usage, time t		Spouse prescription usage, time t+1		Spouse prescription usage, time t+2
Both types, present year t	1.635***	(0.040)	1.291***	(0.032)	1.160***	(0.029)
Personal equity	1.00000000317	(0.00000000209)	1.00000000067	(0.00000000145)	1.0000000012	(0.00000000180)
Job change
Group 1 (to unemployment)	1.027	(0.043)	1.086*	(0.046)	1.164***	(0.050)
Group 2 (to new job)	1.006	(0.019)	1.013	(0.020)	1.026	(0.020)
Education	1.007***	(0.001)	1.007***	(0.001)	1.008***	(0.001)
Age	1.081***	(0.002)	0.997*	(0.001)	0.934***	(0.001)
Personal income	0.99999997838	(0.00000002016)	0.99999999686	(0.00000001712)	1.000000010	(0.00000001671)
Observations	2,55,442		2,53,284		2,44,364
Log likelihood	−89226.9		−89710.9		−86516.7
Pseudo R-squared	0.019		0.001		0.012

Note: This table presents the odds ratios and standard errors of conditional fixed effects logistic regressions of predictors on spouse prescription usage in time t, t+1, and t+2. Odds ratios marked with ***, **, or * are significant at the p < 0.01, 0.05, or 0.10 level, respectively. Spouse prescription usage in t, t+1, t+2, are indicator variables taking the value of 1, if the spouse had at least one prescription in the respective year, and 0 otherwise. Both types, present year t is an indicator variable taking the value 1, if the focal person had at least one prescription in the given year, and 0 otherwise. Personal equity is the focal person's net worth (in DKK). Job change is a categorical variable with Group 1 taking the value of 1, if the focal person changes to unemployment and Group 2 taking the value of 2, if the focal person changes to a new job, and 0 otherwise. Education denotes the months of education of the focal person. Age is the focal person's age (in years). Personal income is the focal person's income (in DKK, EUR exchange rate fixed at 7.45).