Spousal Correlation on the Demand for Prevention Among the Elderly 4.23.10

Spousal Correlation on the Demand for Prevention among the Elderly and Near-elderly Andrea Puig, The Wharton School, University of Pennsylvania; Leonard Davis Institute of Health Economics, Center for Health Incentives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conclusions and Policy Implications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Results Table 1. Conditional Probabilities and Odds Ratios on Spousal Preventive Behavior Table 3. Effect of own and spouse’s health shock on initiation of preventive activities. ,[object Object],[object Object],[object Object],Table 2. Results of SUR models for both partners’ prevention equations: Matching vs. bargaining ,[object Object],[object Object],[object Object],Objectives ,[object Object],[object Object],[object Object],[object Object],Background Methods Panel A. Conditional Probabilities Panel B. Odds ratios Male=positive prevention Female=positive prevention Male Female Preventive Activity Female=positive prevention Female=negative prevention Male=positive prevention Male=negative prevention Physical activity 62.2% 41.9% 47.4% 28.3% 1.49 1.67 Non-smoker 43.8% 11.0% 42.6% 10.5% 3.98 4.04 Normal weight 33.9% 23.5% 46.3% 34.2% 1.44 1.36 Flu shot 78.3% 30.0% 76.9% 28.3% 2.61 2.72 Cholesterol screening 82.9% 62.8% 82.2% 61.6% 1.32 1.33 Pap smear/Prostate screening 77.0% 64.5% 72.2% 58.4% 1.19 1.23 Mammogram/Prostate screening 77.6% 59.0% 80.7% 63.4% 1.32 1.27 (1) (2) (3) (4) SUR with no fixed effects SUR with fixed effects Male Female Male Female Respondent's Vigorous Physical Activity at t-1 0.325*** 0.333*** 0.263*** 0.281*** (0.009) (0.009) (0.006) (0.006) Spouse's Vigorous Physical Activity at t-1 0.041*** 0.034*** 0.004 -0.006 (0.009) (0.008) (0.006) (0.006) Respondent's Non-smoker status at t-1 0.799*** 0.813*** 0.799*** 0.822*** (0.006) (0.006) (0.006) (0.005) Spouse's Non-smoker status at t-1 0.020*** 0.031*** 0.021*** 0.026*** (0.006) (0.006) (0.006) (0.005) Respondent's normal weight at t-1 0.753*** 0.737*** 0.753*** 0.748*** (0.006) (0.006) (0.006) (0.006) Spouse's normal weight at t-1 0.010* 0.020*** 0.01 0.015** (0.005) (0.007) (0.006) (0.006) Respondent's flu shot at t-1 0.440*** 0.101*** 0.438*** 0.472*** (0.013) (0.013) (0.013) (0.013) Spouse's flu shot at t-1 0.098*** 0.465*** 0.094*** 0.092*** (0.013) (0.013) (0.013) (0.013) Respondent's cholesterol screening at t-1 0.265*** 0.239*** 0.266*** 0.248*** (0.013) (0.013) (0.013) (0.012) Spouse's cholesterol screening at t-1 0.042*** 0.074*** 0.042*** 0.072*** (0.012) (0.013) (0.012) (0.012) Respondent's prostate screening (male)/pap smear test (female) at t-1 0.295*** 0.043*** 0.293*** 0.041*** (0.014) (0.015) (0.014) (0.015) Spouse's prostate screening (female)/pap smear test (male) at t-1 0.072*** 0.400*** 0.072*** 0.406*** (0.013) (0.014) (0.013) (0.014) Respondent's prostate screening (male)/mammography (female) at t-1 0.294*** 0.053*** 0.292*** 0.049*** (0.014) (0.013) (0.014) (0.013) Spouse's prostate screening (female)/mammography (male) at t-1 0.077*** 0.424*** 0.075*** 0.426*** (0.014) (0.013) (0.014) (0.013) All columns show the marginal effect of the variable in question in separate models predicting the preventive activity at t. All regressions were controlled by controlled for the inverse mills ratio, age, age squared, race, veteran status, working status (full time, part time, unemployed, partly retired, retired, disabled, other), number of household residents, self-reported health status, insurance status, life insurance status, long term care insurance, education years, mental health (CESD score), residence in one of 10 census divisions and wave. Standard errors are in parentheses. ***, **, * denote statistical significance at the 1-percent, 5-percent, and 10-percent level, respectively. (1) (2) (3) (4) Effect of own health shock on preventive activity Effect of spouse's health shock on preventive activity SUR with fixed effects SUR with fixed effects Relevant Effect Male Female Male Female Health shock on vigorous physical activity -0.004 0.001 -0.005 -0.005 (0.006) (0.008) (0.008) (0.007) Health shock on nonsmoker status 0.027*** 0.013*** -0.001 0.004 (0.004) (0.004) (0.005) (0.004) Health shock on normal weight status 0.008 0.008 -0.001 0.001 (0.005) (0.005) (0.005) (0.005) Health shock on flu shot 0.032** 0.040*** 0.007 0 (0.013) (0.014) (0.014) (0.013) Health shock on cholesterol screening 0.050*** 0.046*** 0.002 0.014 (0.009) (0.010) (0.010) (0.009) Health shock on prostate screening (male)/pap smear (female) 0.023** 0.027** 0.002 -0.008 (0.010) (0.011) (0.010) (0.010) Health shock on prostate screening (male)/mammography (female) 0.023** 0.016* 0.002 0.007 (0.009) (0.009) (0.010) (0.009) All columns show the marginal effect of the variable in question in separate models predicting the initiation of each preventive activity at t. All regressions were controlled by controlled for respondent's and spouse's past participation in the relevant preventive activity at t-1, the inverse mills ratio, age, age squared, race, veteran status, working status (full time, part time, unemployed, partly retired, retired, disabled, other), number of household residents, self-reported health status, insurance status, life insurance status, long term care insurance, education years, mental health (CESD score), residence in one of 10 census divisions and wave. Standard errors are in parentheses. ***, **, * denote statistical significance at the 1-percent, 5-percent, and 10-percent level, respectively.

Spousal Correlation on the Demand for Prevention Among the Elderly 4.23.10

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Spousal Correlation on the Demand for Prevention Among the Elderly 4.23.10