Time goes by so slowly (for those who wait): a field experiment in health care

Latin American Economic Review

Table 6 OLS regression results

Dependent variable:	Dummy = 1 if paid
Dependent variable:	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

Robust standard errors in brackets
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
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)
* Significant at 10%
** Significant at 5%
*** Significant at 1%