Table 8: Effects of WTP and Prices on Attendance, BDM sample

||(1)<br>At leas|(2)<br>t 1 class|(3)<br>At least<br>(if bo|(4)<br>1 class<br>ught)|(5)<br>At l<br>(|(6)<br>east 1 c<br>if paid|(7)<br>lass<br>)|(8)<br> <br>(|(9)<br>N. classes<br>if bought|(10)<br> <br>)|(11)<br>|(12)<br>N. classe<br>(if paid|(13)<br>s<br>)|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Price (000)|-0.04<sup>_∗∗∗_</sup><br>(0.00)||-0.03<sup>_∗∗∗_</sup><br>(0.01)||0.00<br>(0.00)|||-0.23<sup>_∗∗∗_</sup><br>(0.04)|||0.11<sup>_∗∗_</sup><br>(0.05)|||
|3,000_<_ WTP_≤_5,000|0.22<sup>_∗∗∗_</sup>|0.21<sup>_∗∗∗_</sup>|0.35<sup>_∗∗_</sup>|0.36<sup>_∗∗_</sup>|0.33|0.33||2.42<sup>_∗_</sup>|2.48<sup>_∗_</sup>||1.13|1.07||
||(0.08)|(0.08)|(0.16)|(0.16)|(0.28)|(0.28)||(1.46)|(1.47)||(2.76)|(2.76)||
|5,000_<_ WTP_≤_10,000|0.31<sup>_∗∗∗_</sup><br>(0.07)|0.32<sup>_∗∗∗_</sup><br>(0.07)|0.37<sup>_∗∗∗_</sup><br>(0.14)|0.43<sup>_∗∗∗_</sup><br>(0.14)|0.26<br>(0.28)|0.24<br> (0.28)||2.53<sup>_∗_</sup><br>(1.33)|2.84<sup>_∗∗_</sup><br>(1.34)||1.58<br>(2.67)|1.36<br>(2.68)||
|10,000_<_ WTP_≤_15,000|0.40<sup>_∗∗∗_</sup>|0.41<sup>_∗∗∗_</sup>|0.44<sup>_∗∗∗_</sup>|0.50<sup>_∗∗∗_</sup>|0.32|0.31||2.66<sup>_∗∗_</sup>|3.04<sup>_∗∗_</sup>||1.35|1.23||
||(0.07)|(0.07)|(0.14)|(0.14)|(0.28)|(0.28)||(1.33)|(1.34)||(2.67)|(2.69)||
|15,000_<_ WTP_≤_20,000|0.45<sup>_∗∗∗_</sup>|0.46<sup>_∗∗∗_</sup>|0.48<sup>_∗∗∗_</sup>|0.51<sup>_∗∗∗_</sup>|0.30|0.29||2.85<sup>_∗∗_</sup>|3.06<sup>_∗∗_</sup>||0.87|0.77||
||(0.07)|(0.07)|(0.14)|(0.14)|(0.28)|(0.28)||(1.29)|(1.30)||(2.66)|(2.67)||
|WTP_>_ 20,000|0.34<sup>_∗∗_</sup>|0.37<sup>_∗∗_</sup>|0.37<sup>_∗∗_</sup>|0.44<sup>_∗∗_</sup>|0.32|0.30||1.42|1.84||-0.88|-1.17||
||(0.15)|(0.15)|(0.19)|(0.19)|(0.28)|(0.28)||(1.67)|(1.70)||(3.08)|(3.05)||
|Price = 1,000||-0.10||-0.09|||||-0.45|-0.54||||
|||(0.08)||(0.08)|||||(0.70)|(0.70)||||
|Price = 3,000||-0.11||-0.11||0.03|0.03||-0.34|-0.31||0.59|0.65|
|||(0.09)||(0.09)||(0.05)|(0.05)||(0.81)|(0.80)||(0.70)|(0.70)|
|Price = 5,000||-0.34<sup>_∗∗∗_</sup>||-0.34<sup>_∗∗∗_</sup>||0.06<sup>_∗_</sup>|0.07<sup>_∗_</sup>||-2.09<sup>_∗∗∗_</sup>|-1.89<sup>_∗∗∗_</sup>||1.05<sup>_∗_</sup>|1.08<sup>_∗_</sup>|
|||(0.07)||(0.07)||(0.04)|(0.04)||(0.66)|(0.64)||(0.59)|(0.58)|
|Price = 10,000||-0.46<sup>_∗∗∗_</sup>||-0.43<sup>_∗∗∗_</sup>||0.05|0.07<sup>_∗_</sup>||-2.74<sup>_∗∗∗_</sup>|-2.50<sup>_∗∗∗_</sup>||0.97|0.98|
|||(0.06)||(0.07)||(0.03)|(0.04)||(0.65)|(0.63)||(0.62)|(0.62)|
|Price = 15,000||-0.61<sup>_∗∗∗_</sup>||-0.49<sup>_∗∗∗_</sup>||0.05|0.07<sup>_∗_</sup>||-3.09<sup>_∗∗_</sup>|-2.77<sup>_∗∗_</sup>||2.09<sup>_∗∗∗_</sup>|1.91<sup>_∗∗∗_</sup>|
|||(0.09)||(0.15)||(0.04)|(0.04)||(1.26)|(1.24)||(0.73)|(0.69)|
|Price = 20,000||-0.65<sup>_∗∗∗_</sup>||-0.49<sup>_∗∗∗_</sup>||0.05|0.07<sup>_∗_</sup>||-3.65<sup>_∗∗∗_</sup>|-3.32<sup>_∗∗∗_</sup>||1.59<sup>_∗∗_</sup>|1.41<sup>_∗∗_</sup>|
|||(0.08)||(0.17)||(0.04)|(0.04)||(1.29)|(1.26)||(0.65)|(0.61)|
|Observations|457|457|392|392|146|146|146|392|392|392|146|146|146|
|R-squared|0.214|0.232|0.104|0.126|0.104|0.117|0.033|0.066|0.078|0.062|0.054|0.065|0.038|
|Mean Y for omitted P|0.76||0.76||0.93|||5.43|||7.09|||
|Mean Y for WTP_<_3K|0.10||0.25||0.67|||2.42|||6.33|||
|p-val 5K=10K||0.056||0.189||0.404|1.000||0.288|0.311||0.879|0.839|
|<br>p-val 5K=15K||0.002||0.306||0.589|1.000||0.420|0.472||0.120|0.151|

OLS regression, the dependent variable is a dummy for attending at least 1 class (Columns 1-7) or number of classes attended (Columns 8-13). The excluded categories are Price = 0 and 0 _≤_ WTP _≤_ 3,000. Robust standard errors in parentheses. *** p _<_ 0.01, ** p _<_ 0.05, * p _<_ 0.1 37