We examine the impact of Artificial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers’ productivity by shortening the...

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...

The paper addresses the research question of whether black boxes affect the market efficiency, particularly by reducing the level of premiums. The case analyzed is the Italian motor-vehicle insurance market, characterized by the greatest amount of black boxes in the world as a consequence of...

Virtually all public policies regarding taxation and the redistribution of income rely on explicit or implicit assumptions about the long run effect of wage rates on labor supply. The available estimates of the wage elasticity of male labor supply in the literature have varied between -0.2 and...

In a seminal paper, Camerer, Babcock, Loewenstein, and Thaler (1997) find that the wage elasticity of daily hours of work New York City (NYC) taxi drivers is negative and conclude that their labor supply behavior is consistent with target earning (having reference dependent preferences). I...