政府监管和经济适用房存量的变化

C. Somerville, C. Mayer
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引用次数: 37

摘要

1. 就住房问题而言,经济学家的主要公共政策焦点是住房的可负担性、抵押贷款的可用性、土地使用监管和租金控制。土地利用调控的研究主要集中在调控对自有住房价格的影响上。低收入住房的工作更多地关注计量问题,以及关于供给侧与需求侧补贴的辩论。在本文中,我们着眼于这两个问题之间的关系,以研究政府监管如何影响低收入住房存量的动态。我们发现,与住房的理论模型一致,限制新住房的供应降低了可负担住房的供应。这是因为对高质量单元的需求增加,提高了对低质量单元的维护、维修和翻新的回报,因为房东有更强的动机将它们升级到更高质量、更高回报的住房子市场。这一结果令人不安,因为它突显了针对新的、高收入的自住郊区住房的政策如何对低收入的租房者产生意想不到的负面影响。我们的研究与大多数经济适用房研究的不同之处在于,我们不关心确定经济适用房存量的大小,也不关心将其与低收入家庭的数量相匹配。低收入家庭的住房需求与被认为负担得起的住房存量之间的差距已在相当数量的其他研究中得到证实。(1)本文以Somerville和Holmes(2001)的研究为基础,研究了单元、社区和市场特征对单元留在低收入家庭负担得起的租赁单元库存中的概率的影响;我们通过观察政府法规如何影响这种可能性来做到这一点。我们的方法是观察美国住房调查(AHS)都市地区样本连续几波中的单个单位。在此过程中,我们遵循了Nelson和Vandenbroucke(1996)以及Somerville和Holmes(2001)的做法,他们利用AHS大都市地区调查数据的面板性质来绘制单个单元进出低收入住房存量的流动图表。本文的其余部分结构如下。首先,我们为我们的分析奠定了理论框架。我们接着讨论我们的数据。最后,我们提出了我们的实证结果,既针对限制新住宅单位供应的措施,也针对一个地区普遍存在的租金管制。2. 理论框架我们将经济适用房存量中单位的进出建模为单位通过连续住房子市场的过滤。过滤模型将住房市场描述为一系列按单位质量区分的子市场。租金会随着质量的下降而下降,所以在质量阶梯上较低的单元,租金会低于位于顶端相同位置的相同面积的单元。如果没有维护、翻新和修理方面的支出,设备的质量就会随着物理和技术上的贬值而下降。当这种情况发生时,单位就会沿着质量阶梯向下移动。假设维持给定质量水平的成本随着单位年龄的增加而增加。在维护和翻新上的额外支出可以使单位重新回到阶梯上。不同子市场的相对租金随着家庭间的收入分配(需求)和该子市场的单位供应而变化。当质量是最便宜的时候,提供单位建造,新的单位将是高质量的。最实惠、质量最低的住房供应将是那些建于较早时期的住房,它们被允许贬值,并沿着质量阶梯向下过滤。房东会选择一种维护水平,以实现利润最大化,而这种选择决定了他们的单位将落入哪个住房次级市场。…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Government Regulation and Changes in the Affordable Housing Stock
1. INTRODUCTION In terms of housing issues, the primary public policy focus of economists has been the affordability of homes, mortgage availability, land-use regulation, and rent control. Studies of land-use regulation focus on the effects of regulation on the price of owner-occupied housing. Work on low-income housing has concerned itself more with issues of measurement and the debate over supply-side versus demand-side subsidies. In this paper, we look at the relationship between these two issues to examine how government regulation affects the dynamics of the low-income housing stock. We find that, consistent with theoretical models of housing, restrictions on the supply of new units lower the supply of affordable units. This occurs because increases in the demand for higher quality units raise the returns to maintenance, repairs, and renovations of lower quality units, as landlords have a stronger incentive to upgrade them to a higher quality, higher return housing submarket. This result is disturbing because it highlights how policies targeted toward new, higher income owner-occupied suburban housing can have unintended negative consequences for lower income renters. Our research differs from most studies of affordable housing in that we are not concerned with identifying the size of the affordable stock or matching it to the number of low-income households. The gap between the housing needs of low-income households and the stock of units deemed affordable has been demonstrated in a considerable amount of other research. (1) Here, we build on the Somerville and Holmes (2001) study of the effects of the unit, neighborhood, and market characteristics on the probability that a unit will stay in the stock of rental units affordable to low-income households; we do so by looking at how government regulations affect this probability. Our approach is to look at individual units in successive waves of the American Housing Survey (AHS) metropolitan area sample. In doing so, we follow Nelson and Vandenbroucke (1996) and Somerville and Holmes (2001), who use the panel nature of the AHS metropolitan area survey data to chart the movements of individual units in and out of the low-income housing stock. The remainder of the paper is structured as follows. First, we lay out the theoretical framework for our analysis. We follow with a discussion of our data. Finally, we present our empirical results, both for measures of constraints on the supply of new residential units and for the pervasiveness of rent control in an area. 2. THEORETICAL FRAMEWORK We model movements of units in and out of the stock of affordable housing as the filtering down of units through successive housing submarkets. The filtering model describes the housing market as a series of submarkets differentiated by unit quality. Rents fall as quality declines, so units that are lower on the quality ladder have lower rents than units of the same size in the same location at the top. Without expenditures on maintenance, renovation, and repairs, units decline in quality as they depreciate physically and technologically. As this occurs, the units move down the quality ladder. The cost to maintain a given level of quality is assumed to increase with unit age. Extra expenditures on maintenance and renovation can move units back up the ladder. Relative rents in the different submarkets vary with the distribution of income across households (demand) and the supply of units in that submarket. When quality is least expensive to provide at the time units are built, new units will be of high quality. The supply of the most affordable, lowest quality units will be those units built in earlier periods that have been allowed to depreciate and more down--to filter down--the quality ladder. Landlords will choose a level of maintenance to maximize profits, and that choice determines into which housing submarket their unit will fall. …
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