The wide range is primarily due to a lack of consensus over the population elasticity to rents, so we estimate it by comparing the effects of demand shocks across cities of differing housing supply el

The gap

Consensus across the literature

Supporting evidence — 4 representative gaps

• CHANGES IN THE NATURE OF URBAN SPATIAL STRUCTURE IN THE UNITED STATES, 1890–2000* (2007) · doi

  While it is beyond the scope of this paper to estimate the causes of these changes, this paper argues that a complete understanding of the changes in the nature of US urban spatial structures is likely to go beyond the standard explanations based on the monocentric city model such as decreases in transportation costs and increases in household incomes.

  Keywords: beyond changes scope estimate causes argues complete understanding nature urban spatial structures likely standard explanations
• Urban morphology and traffic congestion: Longitudinal evidence from US cities (2021) · doi

  To potentially clarify the conflicting findings of previous studies, we used a detailed spatial metric-based approach and panel regression to quantify the relationships between urban development patterns and congestion in 98 US urban areas from 2001 to 2011.

  Keywords: urban potentially clarify conflicting previous used detailed spatial metric based approach panel regression quantify relationships
• Why is the rent so darn high? The role of growing demand to live in housing-supply-inelastic cities (2021) · doi

  The wide range is primarily due to a lack of consensus over the population elasticity to rents, so we estimate it by comparing the effects of demand shocks across cities of differing housing supply elasticities.

  Keywords: wide range primarily lack consensus population elasticity rents estimate comparing effects demand shocks across cities
• Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities (2024) · doi

  The results show that the transferred bias effectively quantifies the disparities among cities in physical and socioeconomic environments, thereby facilitating further investigation into the urban balance between these two environments.

  Keywords: environments show transferred bias effectively quantifies disparities among cities physical socioeconomic thereby facilitating further investigation