Appendix Table 1.

Heterogeneity in Effect of Planning on Total Gym Visits

	Dependent Variable: Number of Visits During 2-Week Intervention Period
Independent Variables	(1)	(2)	(3)	(4)	(5)	(6)
Treated	−0.26	–0.06	−0.43	−0.22	−0.03	−0.67**
	(0.16)	(0.19)	(0.31)	(0.26)	(0.22)	(0.31)
× Above median visits in pre period		−0.41
		(0.34)
× Does not currently schedule gym visits			0.29
			(0.36)
× Thinks planning might help				−0.08
				(0.33)
× Will be out of town 4+ days					−0.49
					(0.32)
× Uses online calendar						0.59*
						(0.36)
Above median visits in pre period		−0.39
		(0.39)
Does not currently schedule gym visits			0.69**
			(0.29)
Thinks planning might help				−0.33
				(0.24)
Will be out of town 4+ days					−0.72***
					(0.24)
Uses online calendar						−0.46*
						(0.28)
Control variables	Yes	Yes	Yes	Yes	Yes	Yes
Number of observations	877	877	877	877	877	877
Adjusted R-squared	0.43	0.43	0.43	0.43	0.45	0.43
Mean of dependent variable for control group	2.62	2.62	2.62	2.62	2.62	2.62

Heteroskedastic robust standard errors are in parentheses.

^***p<0.01

^**p<0.05

^*p<0.1. See notes to Table 3 for a full list of control variables. Above median visits in pre period equals 1 if visits in the two week pre period were 3 or more (45% of the sample) and 0 otherwise. Does not currently schedule gym visits equals 1 if subject chooses “Somewhat” or “Very much” when asked the following question, “To what extent does the following statement apply to you? I don’t go to the gym as much as I would like because I don’t set aside time for it in my schedule; then my schedule fills up and I no longer have time to go to the gym.” (61% of the sample) and 0 otherwise. Thinks planning might help equals 1 if subject chooses “Maybe” or “Yes” when asked, “Do you think you would go to the gym more often if you planned one or two weeks ahead about what days/times you would go to the gym?” (53% of the sample) and 0 otherwise. Will be out of town 4+ days equals 1 if subject chooses four days or more when asked, “How many days do you expect to be out of town in the next two weeks?” (42% of the sample) and 0 otherwise.