The Geographic Determinants of Housing Supply

By Albert Saiz. 2010

2,116 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8aa87042732d34ee3194a10b97e083773ee148f8

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In Economics and Econometrics

Citations in the corpus

The Growth of Cities (2013, positive): “Saiz (2010) shows a strong link between these natural constraints and stringent land-use regulations.”
Endogenous Gentrification and Housing Price Dynamics (2012, positive): “To do this, we further interacted our distance to rich neighborhoods and our distance measure multiplied by the Bartik shock with Saiz’s measure of MSA housing supply elasticity (Saiz, 2010).”
Cities and product variety: evidence from restaurants (2015, background): “As an additional instrument I include the share of unavailable land in the principal city of each MSA from Saiz (2010).23 The share of unavailable land is based exclusively on measures of geography (presence of water bodies, slope of land) and thus cities in areas with less developable land may be…”
Fundamental factors in the housing markets of China (2014, background): “Second, another set of papers addresses the causal impact of inelastic housing supply as a result of physical and regulatory constraints on the spatial dispersion of housing price appreciation since the 1970s (e.g., Glaeser et al., 2005; Saiz, 2010).”
What Explains the 2007-2009 Drop in Employment?: The 2007-2009 Drop in Employment (2014, positive): “Our first test uses the Saiz (2010) housing supply elasticity as an instrument for the change in housing net worth.”
Optimal Spatial Policies, Geography, and Sorting* (2018, positive): “(50) This specification microfounds a housing supply elasticity that includes both a technology constraint dH,j due geographic characteristics as in Saiz (2010) as well as land regulations τH,j as in the previous papers.”
Supply Constraints Are Not Valid Instrumental Variables for Home Prices Because They Are Correlated with Many Demand Factors (2016, background): “Saiz (2010) proposes tourist visits as a measure of amenity.”
Housing Wealth Effects: The Long View (2018, methodology): “The Saiz sample is limited to the 270 CBSAs for which we have land unavailability from Saiz (2010) instead of the full 379 CBSA sample.”