Affordable Housing in Santa Cruz Causes and Policy Options
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Affordable Housing in Santa Cruz Causes and Policy Options Jesse Cunha, Ph.D. Graduate School of Business and Public Policy, Naval Postgraduate School Department of Economics, UC Santa Cruz June 4, 2018 Introduction In recent years, rents in Santa Cruz have been rising. According to Zillow’s rental price index for newly rented multi-family units in the Santa Cruz area, rents were fairly flat from 2010 (the first year data is available) until 2014, and then rents began to rise in the summer of 2014 at a rate of about 10% per year (Figure 1). While wages have been rising over this time period as well, some renters are finding that rents are rising faster than their income, which puts pressure on their household budget. This affects current renters when either they move to a new rental unit or are asked to pay higher rent at the end of their current lease. New renters are affected because they may not be able to find a rental unit which they can afford. In this short brief, I summarize the extensive empirical and theoretical academic literature on the issues surrounding housing affordability, and explore the available policy options. In light of the recently submitted rent control ballot initiative in Santa Cruz, it is important to stress at the outset that there is little evidence suggesting that Rent Control is an efficient or equitable way to address housing affordability. In fact, it is likely that Rent Control in Santa Cruz would protect a small minority of current renters , while exacerbating the problem of affordable housing for the majority of current and future renters. 1
Figure 1: Median rents for newly rented units in Santa Cruz have been rising. Median monthly rent, multifamily units in Santa Cruz Data source: Zillow.com 3000 2500 Median monthly rent 2000 1500 July 2010 Jan 2012 July 2013 Jan 2015 July 2016 Jan 2018 Why housing is expensive Basic economic theory explains that (1) rents are rising because the price of housing units is rising and (2) increases in housing prices are being driven by an increase in demand for homes with little change in the supply of housing units. The price of housing will continue to increase as long as demand is increasing (more people want to live in the Bay Area and Santa Cruz) and the supply of housing is relatively constant (there are few new units constructed). These issues are summarized for non-academic audiences in two recent survey articles by Glaeser & Gyourko (2018) and Metcalf (2018). Metcalf (2018) shows that while housing prices and rents have been rising in several major metropolitan areas in the country (not just the Bay Area), other areas have seen very modest price increases over time. For example, Atlanta and Dallas have seen increases in house prices of 20-40% over the past 20 years, which is roughly in line with general inflation, while, San Francisco, Los Angeles, and Boston have seen home price increases of 100-160%. There is abundant evidence showing that in places like Atlanta and Dallas, supply has risen in response to increases in demand, and this helps keep prices low. Why then has supply not risen in response to demand in areas such as the Bay Area? While construction costs do vary across geographic areas, they do not seem to be the main impediment to building more housing (See Gyourko & Saiz (2006) and Gyourko & Saiz (2006)). Similarly, geographic constraints to building in mountainous areas near bodies of water (such as Santa Cruz) do restrict growth, but this can not fully explain the large observed increases in prices over time (Saiz, 2010). Rather, the main reason why more houses are not built to meet demand is government-imposed restrictions on building, through the use of exclusionary zoning laws that limit where housing can be built and the density on any given parcel of land (Glaeser & Gyourko, 2002; Glaeser et al. , 2005a,b). Any public policy relating to housing affordability must address the fact that restricions on growth and density will tend to increase the cost of housing. 2
Policies to address housing affordability A major impediment to enacting meaningful solutions to create affordable housing is the fact that zoning laws are created at the local level, while housing markets exist at the level of metropolitan commuting areas. In the Bay Area, consider how common it is for individuals to work in one city while living in another. Thus, individual cities and towns have the incentive to protect “their own backyards” by continuing the status quo of exclusionary zoning, yet collectively, the supply of housing does not expand to meet rising demand and prices increase. Nonetheless, individual cities can take steps to increase the supply of housing. Metcalf (2018) summarizes the literature on the possibilities and limitations in the use of a host of possible policy interventions, including: vouchers (subsidies) for low-income tenants, pub- licly provided housing, affordable housing that is privately owned but price capped, relaxing exclusionary zoning to allow for greater density or lower minimal standards of housing units, controls on rental price increases, building transportation infrastructure to connect employ- ment hubs to areas with affordable housing, and building more cities. Rent Control is Not the Answer Rent control as a policy solution has been used since the first and second World Wars, and has often been enacted because it is an immediate and salient policy that appeals to current tenants concerned about rental price increases. While rent control has been enacted in various ways (see Arnott (1995)), all policies that restrict rental price increases are broad-reaching government interventions into an otherwise free housing market. There is an extensive academic literature that studies the direct and indirect pathways by which rent control can impact a city. Here are some of the main conclusions: 1. Rent control discourages the construction of new rental units and encourages existing units to be removed from the rental market (Sims, 2007). This leads to higher rents in both non-rent-controlled units and rent-controlled units when those units turn over and are rented at new market rates (Diamond et al. , 2017; Caudill, 1993; Fallis & Smith, 1984; Early, 2000; Early & Phelps, 1999). 2. Rent control gives benefits to existing tenants who remain in controlled units, but few tenants stay in these units long term (Diamond et al. , 2017; Sims, 2007) 3. Rent control hurts landlords by reducing the return on their investments (Olsen, 1972) 4. The quality of rent controlled units eventually declines unless there are explicit incen- tives for landlords to make improvements (Sims, 2007; Kutty, 1996; Moon & Stotsky, 1993) 5. Rental units are not occupied by those who value them the most, which implies a significant loss of economic welfare (Glaeser & Luttmer, 2003; Gyourko & Linneman, 1989; Sims, 2011; Pollakowski, 2003; Ault et al. , 1994). 6. There are negative effects on the community (a) Removing rent control has been shown to reduce crime (in particular, property crime) (Autor et al. , 2017) 3
(b) Rent control has been shown to increase homelessness, via higher prices of non- controlled units and little increase in overall supply (Grimes & Chressanthis, 1997) (c) Rent control leads to higher commuting times because rent-control “locks” renters into a particular unit (Krol & Svorny, 2005) The broad academic consensus is that rent control is not an effective policy solution to provide affordable housing, and in fact, rent control can lead to worse outcomes than an unregulated housing market. Conclusion All of the citizens of Santa Cruz - tenants and home-owners, both current and future - deserve a more thoughtful discussion of the various options available to address the issues of rising rents and housing affordability. Part of this debate must address the fact that if housing was cheap, far more people would like to live in Santa Cruz than it could ever support; and this high demand is likely to exist regardless of how much new housing is created. The discussion should therefore focus on how much of our housing stock we as a community believe should be accessible to those with lower incomes, and how those housing units should be allocated if not via a free market. Sadly, while rent control may seem to some an effective policy solution, the proposed initiative will likely end up benefiting only a few long-term tenants while imposing greater costs on the rest of the current and future renters in our community. 4
References Arnott, Richard. 1995. Time for revisionism on rent control? Journal of Economic Perspectives, 9(1), 99–120. Ault, Richard W., Jackson, John D., & Saba, Richard P. 1994. The Effect of Long-Term Rent Control on Tenant Mobility. Journal of Urban Economics, 35, 140–158. Autor, David H., Palmer, Christopher J., & Pathak, Parag A. 2017. Gentrification and the Amenity Value of Crime Reductions: Evidence from Rent Deregulation. Working Paper. Caudill, Steven B. 1993. Estimating the Costs of Partial-Coverage Rent Controls: A Stochastic Frontier Approach. The Review of Economics and Statistics, 75(4), 727–731. Diamond, Rebecca, McQuade, Tim, & Qian, Franklin. 2017. The Effects of Rent Control Expansion on Tenants, Landlords, and Inequality: Evidence from San Francisco. Working Paper. Early, Dirk W. 2000. Rent Control, Rental Housing Supply, and the Distribution of Tenant Benefits. Journal of Urban Economics, 48, 185–204. Early, Dirk W., & Phelps, Jon T. 1999. Rent Regulations’ Pricing Effect in the Uncontrolled Sector: An Empirical Investigation. Journal of Housing Research, 10(2), 267–285. Fallis, George, & Smith, Lawrence B. 1984. Uncontrolled Prices in a Controlled Market: The Case of Rent Controls. The American Economic Review, 74(1), 193–200. Glaeser, Edward, & Gyourko, Joseph. 2018. The Economic Implications of Housing Supply. Journal of Economic Perspectives, 32(1), 3–30. Glaeser, Edward L, & Gyourko, Joseph. 2002. The impact of zoning on housing affordability. Tech. rept. National Bureau of Economic Research. Glaeser, Edward L., & Luttmer, Erzo F. P. 2003. The Misallocation of Housing Under Rent Control. The American Economic Review, 93(4), 1027–1046. Glaeser, Edward L, Gyourko, Joseph, & Saks, Raven E. 2005a. Why have housing prices gone up? American Economic Review, 95(2), 329–333. Glaeser, Edward L, Gyourko, Joseph, & Saks, Raven. 2005b. Why is Manhattan so expensive? Regulation and the rise in housing prices. The Journal of Law and Economics, 48(2), 331–369. Grimes, Paul W., & Chressanthis, George A. 1997. Assessing the Effect of Rent Control on Homelessness. Journal of Urban Economics, 41, 23–37. Gyourko, Joseph, & Linneman, Peter. 1989. Equity and Efficiency Aspects of Rent Control: An Empirical Study of New York City. Journal of Urban Economics, 26, 54–74. Gyourko, Joseph, & Saiz, Albert. 2006. Construction costs and the supply of housing structure. Journal of regional Science, 46(4), 661–680. Krol, Robert, & Svorny, Shirley. 2005. The Effect of Rent Control on Commute Times. Journal of Urban Economics, 58, 421–436. Kutty, Nandinee K. 1996. The IMpact of Rent Control on Housing Maintenance: A Dynamic Analysis Incoporating European and North American Rent Regulations. Housing Studies, 11(1), 69–88. Metcalf, Gabriel. 2018. Sand Castles Before the Tide? Affordable Housing in Expensive Cities. Journal of Economic Perspectives, 32(1), 59–80. Moon, Choon-Geol, & Stotsky, Janet G. 1993. The Effect of Rent Control on Housing Quality Change. Journal of Political Economy, 101(6), 1114–1148. 5
Olsen, Edgar O. 1972. An Econometric Analysis of Rent Control. Journal of Political Economy, 80(6), 1081–1100. Pollakowski, Henry O. 2003 (Mar.). Who Really Benefits from New York City’s Rent Regulation System? Civic Report 34. Center for Civic Innovation at the Manhattan Institute. Saiz, Albert. 2010. The geographic determinants of housing supply. The Quarterly Journal of Economics, 125(3), 1253–1296. Sims, David P. 2007. Out of Control: What Can We Learn From the End of Massachusetts Rent Control? Journal of Urban Economics, 61, 129–151. Sims, David P. 2011. Rent Control Rationing and Community Composition: Evidence from Massachusetts. The B.E. Journal of Economic Analysis & Policy, 11(1). Article 27. 6
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