We use a unique dataset from a Singaporean taxi fleet consisting of 6,663 drivers with 23 months of daily work routines to test if taxi drivers exhibit learning by doing (LBD). We find strong evidence of LBD. Next, we document the channels of learning: drivers learn the most through technology...

We examine the impact of an anticipated income shock on Singaporean taxi labor supply. This income shock is due to a government provision allowing employees to withdraw part of their pension savings at the age of 55. The results show that salary income, number of trips, total hours worked, and...

We present new evidence that providing information intervention is a cost-efficient way to optimize an individual's decision-making process. Using the Taxi Management System implemented by Singapore Changi Airport on December 25, 2009 as a source of exogenous variation for identification, we...

We study the role of ride-hailing surge factors on the allocative efficiency of taxis by combining a reduced form estimation with structural analyses using machine-learning-based demand predictions. We estimate an upper-bound of the cross-price elasticity of taxi bookings to surge factors of...