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

2021 ◽  
Author(s):  
Kate Pennington
Keyword(s):  
San Francisco ◽  
Supply And Demand ◽  
Demand Effects

scholarly journals Segmented Housing Search

2020 ◽  
Vol 110 (3) ◽  
pp. 720-759 ◽  
Author(s):  
Monika Piazzesi ◽  
Martin Schneider ◽  
Johannes Stroebel
Keyword(s):  
San Francisco ◽  
San Francisco Bay Area ◽  
Supply And Demand ◽  
Housing Markets ◽  
Search Model ◽  
Local Market ◽  
Search Activity ◽  
Bay Area ◽  
Supply And Demand Shocks ◽  
Housing Search

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)

Educators in Supply and Demand: Effects on Quality

1978 ◽  
Vol 86 (4) ◽  
pp. 552-593 ◽  
Author(s):  
W. Timothy Weaver
Keyword(s):  
Supply And Demand ◽  
Demand Effects

The Stock Return Difference between Industrial REITs and Manufacturing Firms: Space Supply and Demand Effects

2006 ◽  
Vol 12 (3) ◽  
pp. 249-260
Author(s):  
Hwahsin Cheng ◽  
Luis Mejia ◽  
Charles Tu
Keyword(s):  
Stock Return ◽  
Supply And Demand ◽  
Manufacturing Firms ◽  
Demand Effects ◽  
Return Difference

Bay Bridge Congestion-Pricing Project: Lessons Learned to Date

1996 ◽  
Vol 1558 (1) ◽  
pp. 29-38
Author(s):  
Karen T. Frick ◽  
Steve Heminger ◽  
Hank Dittmar
Keyword(s):  
San Francisco ◽  
Traffic Congestion ◽  
Task Force ◽  
Supply And Demand ◽  
Congestion Pricing ◽  
Business Environment ◽  
Lessons Learned ◽  
Demonstration Program ◽  
Government Organizations ◽  
Bay Area

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.

Supply and Demand Effects on Supply Chain Flexibility: An Empirical Exploration

2015 ◽  
Vol 22 (3) ◽  
pp. 206-219 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Chain Flexibility ◽  
Supply Chain Flexibility ◽  
Demand Effects

Job Access and Employment among Low-Skilled Autoless Workers in US Metropolitan Areas

2003 ◽  
Vol 35 (9) ◽  
pp. 1651-1668 ◽  
Author(s):  
Mizuki Kawabata
Keyword(s):  
Los Angeles ◽  
San Francisco ◽  
Metropolitan Areas ◽  
Supply And Demand ◽  
Employment Outcomes ◽  
Policy Debate ◽  
Skilled Workers ◽  
Job Accessibility ◽  
Essential Components ◽  
Job Access

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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