# Table 6 OLS regression results

Dependent variable: Dummy = 1 if paid
1 2 3
Price − 0.001848 [0.000414]*** − 0.001804 [0.000402]*** − 0.001777 [0.000568]***
Waiting time 0.001293 [0.000385]*** 0.001189 [0.000377]*** 0.001461 [0.000450]***
Price*contingent valuation 0.000333 [0.000283] 0.000417 [0.000285] 0.000521 [0.000804]
Waiting time*contingent valuation − 0.000543 [0.000500] − 0.000588 [0.000493] − 0.000827 [0.000541]
Observations 530 530 530
WTP-field experiment 0.70 0.66 0.82
F-statistic for test WTP = 0 8.98*** 8.06*** 5.56**
WTP-CV exercise 0.50 0.43 0.50
F-statistic for test WTP = 0 5.04** 3.57* 2.45
Difference in WTP between field and CV 0.20 0.23 0.32
F-statistic for test of difference in WTP = 0 0.339 0.326 0.5042
Socioeconomic controls No Yes Yes
Date fixed effects No No Yes
1. Robust standard errors in brackets
2. For participants in the field experiment, the dependent variables are dummy taking value of one if individuals paid for the non-waiting consult. For participants in the CV exercise, the dependent variables are dummy taking value of one if individuals declared they would have p aid for the non-waiting consult, given the hypothetical price and waiting time announced
3. Table 3 in the main text is the analog of this table. However, in this case we assume a linear probability model and estimate the regression through ordinary least squares (tables in the main text are estimated through a logit regression)
4. * Significant at 10%
5. ** Significant at 5%
6. *** Significant at 1%