In this paper we investigate the effects of new railway stations on house prices using an extensive repeated sales dataset over a period of 13 years. We employ semiparametric panel data techniques allowing for anticipation effects of station openings. We show that a kilometre reduction in...

In this paper we investigate the effects of new railway stations on house prices using an extensive repeated sales dataset over a period of 13 years. We employ semiparametric panel data techniques allowing for anticipation effects of station openings. We show that a kilometre reduction in...

We investigate the sensitivity of consumer surplus estimates to parametric assumptions on individual preference heterogeneity in a discrete choice framework. We compare results from a parametric random coefficients logit model and a recently proposed nonparametric sieve estimator. In particular,...

We investigate the sensitivity of consumer surplus estimates to parametric assumptions on individual preference heterogeneity in a discrete choice framework. We compare results from a parametric random coefficients logit model and a recently proposed nonparametric sieve estimator. In particular,...

We investigate the sensitivity of consumer surplus estimates to parametric assumptions on individual preference heterogeneity in a discrete choice framework. We compare results from a parametric random coefficients logit model and a recently proposed nonparametric sieve estimator. In particular,...

Firms often sell a transparent base product and a valuable add-on product. If only some consumers are aware of the latter, the add-on's effect on the base product's price will be ambiguous. Cross-subsidization between products to bait uninformed consumers might lower, intrinsic utility from the...

This paper studies the effects of areal cable cars on mode of transport, time use and employment in the metropolitan area of La Paz, Bolivia. Using an instrumental variables approach, we estimate local average treatment effects of cable car use for residents who use the system due to proximity...

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...

This volume was prepared by Constantin Mang while he was working at the Ifo Institute. It was completed in 2014 and accepted as a doctoral thesis by the Department of Economics at the University of Munich. It includes a short introduction and four self-contained chapters that focus on ICT...