• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • All Placement Records
      • PhD Vacancies
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community

Gubins, S., \van Ommeren\, J. and \de Graaff\, T. (2019). Does new information technology change commuting behavior? Annals of Regional Science, 62(1):187--210.


  • Journal
    Annals of Regional Science

We estimate the long-run causal effect of information technology, i.e., Internet and powerful computers, as measured by the adoption of teleworking, on average commuting distance within professions in the Netherlands. We employ data for 2 years—1996 when information technology was hardly adopted and 2010 when information technology was widely used in a wide range of professions. Variation in information technology adoption over time and between professions allows us to infer the causal effect of interest using difference-in-differences techniques combined with propensity score matching. Our results show that the long-run causal effect of information technology on commuting distance is too small to be identified and likely to be absent. This suggests that, contrary to some assertions, the advent of information technology did not have a profound impact on the spatial structure of the labor market.