August 28, 2019

Ted Egan - Zoning, Housing, and Economic Growth in San Francisco

August 06, 2019

Ted Egan - Zoning, Housing, and Economic Growth in San Francisco

[Slides]Zoning, Housing, and Economic Growth in San Francisco – Ted Egan, Ph.D., City and County of San Francisco’s Office of the Controller

[Recording]Zoning, Housing, and Economic Growth in San Francisco – Ted Egan, Ph.D., City and County of San Francisco’s Office of the Controller

California’s housing market currently ranks as the third-most expensive in the nation, with eight of the top twenty American cities in terms of highest median home prices belonging to the state. San Francisco only trails their neighbor San Jose as the most costly United States cities to live in, making it an ideal area to analyze when trying to determine what is driving the recent uptick in housing prices.

Please feel free to join REMI for a guest webinar, “Zoning, Housing, and Economic Growth in San Francisco,” on Wednesday, August 28th from 2 to 3 p.m. (ET) that will be presented by Chief Economist Ted Egan, Ph.D. from the City and County of San Francisco’s Office of the Controller.

Dr. Egan’s office researched and examined the intricate relationship between zoning, housing, and economic growth in their city. With their compiled research and the REMI model, the office was able to estimate the sensitivity of housing production to hypothetical changes in land use controls and permitted densities.

Once those estimates were generated, researchers began calculating how housing prices and amenities would shift in the face of increased housing production. The REMI model was utilized at this point in the analysis to determine the net economic impact of decreased housing prices, increased construction, reduced amenities, and diminished employment on land that would likely support housing if controls were relaxed.

This webinar presentation by Dr. Egan will assess the housing trends that are affecting metropolitan areas across the country and discuss how housing policies can be monitored or forecasted using dynamic economic modeling.