Does Building New Housing Cause Displacement?: The Supply and Demand Effects of Construction in San Francisco

2021 ◽  
Author(s):  
Kate Pennington

2020 ◽  
Vol 110 (3) ◽  
pp. 720-759 ◽  
Author(s):  
Monika Piazzesi ◽  
Martin Schneider ◽  
Johannes Stroebel

We study housing markets with multiple segments searched by heterogeneous clienteles. In the San Francisco Bay Area, search activity and inventory covary negatively across cities, but positively across market segments within cities. A quantitative search model shows how the endogenous flow of broad searchers to high-inventory segments within their search ranges induces a positive relationship between inventory and search activity across segments with a large common clientele. The prevalence of broad searchers shapes the response of housing markets to localized supply and demand shocks. Broad searchers help spread shocks across many segments and reduce their effect on local market activity. (JEL D83, R21, R31)



1978 ◽  
Vol 86 (4) ◽  
pp. 552-593 ◽  
Author(s):  
W. Timothy Weaver




Author(s):  
Karen T. Frick ◽  
Steve Heminger ◽  
Hank Dittmar

The San Francisco–Oakland Bay Bridge, connecting San Francisco and the East Bay, is one of the most heavily traveled corridors in the nation. In an effort to address traffic congestion in this corridor, the Bay Area Congestion Pricing Task Force—a group of business, environment, public interest, and government organizations—has been examining the viability of variable tolls on the Bay Bridge. Tolls would be higher during peak commute hours when demand is highest and lower in off-peak hours when the bridge has excess capacity. This supply-and-demand-based concept is known as congestion pricing. The federally sponsored planning phase of the Bay Bridge congestion-pricing demonstration program commenced in the fall of 1993. Its purpose was to determine the most feasible alternatives for reducing congestion on the San Francisco–Oakland Bay Bridge through implementing a congestion-pricing program. The process by which the task force developed a congestion-pricing proposal for the Bay Bridge is described, as are the lessons that have been learned along the way.





2003 ◽  
Vol 35 (9) ◽  
pp. 1651-1668 ◽  
Author(s):  
Mizuki Kawabata

Focusing on low-skilled workers, I present an empirical analysis of the relationship between transit-based job accessibility and employment outcomes for workers without automobiles. The metropolitan areas examined are Boston, San Francisco, and Los Angeles. Two essential components of the analysis are the calculation of refined job-access measures that take into account travel modes as well as the supply and demand of the labor market, and the incorporation of job-access measures into multinomial logit models. The results indicate that improved transit-based job accessibility significantly augments both the probability of being employed and the probability of working 30 hours or more per week for autoless workers in San Francisco and Los Angeles. Further, in these two areas, job accessibility has a greater effect for autoless workers than for auto-owning workers. Job accessibility plays a more significant role in employment outcomes for autoless workers in San Francisco and Los Angeles, highly auto-dependent areas, than it does in Boston, a more compact area with relatively well-developed transit systems. The empirical findings hold important implications for the theory and policy debate surrounding spatial mismatch.



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