Estimating Demand Elasticity of Tap30 Company, M.Sc. Thesis Sharif University of Technology ; Madanizadeh, Ali (Supervisor) ; Joshaghani, Hosein (Supervisor)
Abstract
Access to the data of Tap30, a ride-hailing company in Iran, has allowed us to estimate the demand elasticity of online taxis. As Tap30 divides Tehran into 256 regions for pricing from Jan to June 2018, we assumed that unobservable consumer characteristics near borders are the same for adjacent regions. We used the Regression Discontinuity method to compare ride requests of people who live on two sides of borders and estimated the demand elasticity of Tap30. This research concludes that by 10 percent increase in price, the demand decreases about 3.5 percent on average in 1 hour time period. On the other hand, in 6 hours time period, the demand decreases about 7.5 percent on average by 10...
Cataloging briefEstimating Demand Elasticity of Tap30 Company, M.Sc. Thesis Sharif University of Technology ; Madanizadeh, Ali (Supervisor) ; Joshaghani, Hosein (Supervisor)
Abstract
Access to the data of Tap30, a ride-hailing company in Iran, has allowed us to estimate the demand elasticity of online taxis. As Tap30 divides Tehran into 256 regions for pricing from Jan to June 2018, we assumed that unobservable consumer characteristics near borders are the same for adjacent regions. We used the Regression Discontinuity method to compare ride requests of people who live on two sides of borders and estimated the demand elasticity of Tap30. This research concludes that by 10 percent increase in price, the demand decreases about 3.5 percent on average in 1 hour time period. On the other hand, in 6 hours time period, the demand decreases about 7.5 percent on average by 10...
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