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Filtering
Filtering connects housing supply and demand over time and is measured by changes in the quality or type of housing occupied, relative to both prices and incomes. From the perspective of the housing stock, filtering is typically observed as a downward passage of housing units, deteriorating in relative quality and price, and providing shelter for successively lower income occupants. From the perspective of the housing consumers, filtering is the progress of people moving into a succession of housing units, each one of better quality than the last. The balance between housing and occupants may turn out differently in different decades under different market conditions.
The long-held simple premise is that as houses become old and obsolete, they decline in value and rent, and trickle down from richer to poorer families. The upper level of the housing market is replenished by new construction, creating new units that will filter down in turn. The normative conceptualization of filtering focuses on the degree to which this process can produce affordable housing of decent quality for lower income households.
Housing quality is difficult to define, so the standard economic assumption is that prices reflect housing quality. However, prices also reflect the scarcity of housing supply, what people are willing to spend based on their incomes, and varied and changing housing tastes. Since quality is only one of the factors that affect price, using price to measure quality can obscure the effects of changing supply, income levels, and housing tastes.
Filtering involves a complex process of housing unit and neighborhood maintenance, decay, or renewal, and ties prices and incomes to these changes. The movement of people through the housing stock is both cause and consequence of these changes. Filtering trends can go upward or downward, driven by both demographic change (as new generations and groups of larger or smaller size have different needs and tastes for housing) and economic cycles that affect housing construction. Gentrification is the best known example of upward filtering driven by changing preferences.
Housing Quality and Filtering
Housing units last for a long time—at least 50 years and often 100 years or more. Throughout this housing unit life cycle a succession of households with different characteristics live in a unit. Within a metropolitan housing market, houses are ranked by size, quality, location, and neighborhood amenities. Prices and rents reflect this hierarchy. New construction at the upper levels of the hierarchy meets the housing needs and desires of its era but outlasts its first buyers, going out of style or becoming obsolete as it ages. Housing also simply deteriorates with age, and homeowners and landlords can maintain and repair old units to raise their value. Housing units are also remodeled and expanded to suit changing demand.
Changes in the housing stock alter relative desirability, regardless of improvements to a given housing unit. For example, rapid new construction in the suburbs can drive down prices in older neighborhoods. Conversely, old housing types and neighborhoods can come back into fashion, resulting in gentrification and rising prices in formerly working-class neighborhoods. Modestly priced urban housing, originally built for families with children, might be rediscovered and reused by childless couples who value its central location. Thus it may be misleading to assume a single scale of housing desirability and inexorable declines over time. A multifaceted housing stock is being fit to a changing population of diverse needs and tastes.
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- Abandonment
- Blight
- Displacement
- Eviction
- Filtering
- Not in My Back Yard (NIMBY)
- Obsolescence
- Substandard Housing
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- Environment and Housing
- Environmental Contamination: Asbestos
- Environmental Contamination: Lead
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- Environmental Contamination: Toxic Waste
- Environmental Hazards: Earthquakes
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- Environmental Hazards: Hurricanes
- Health Codes
- Indoor Air Quality
- Restoration of Damaged Housing
- Slums
- Homelessness
- Hoovervilles
- Single-Room Occupancy Housing
- Tent Cities
- Appraisal Industry
- First-Time Home Buyer
- Homeownership
- Liens
- Multiple Listing Service
- Property Rights
- Property Tax
- Refinancing
- Warranties
- Ancient Housing
- Automated Valuation Model
- Building Codes
- Computer-Aided Design
- Construction Technology
- Decision Models for Housing and Community Development
- Disaster-Resistant Housing
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- Flexible Housing
- Housing Codes
- HUD Minimum Property Standards
- In Situ Construction
- Innovation in Housing
- Lean Construction
- Manufactured Housing
- Model Codes
- Modular Construction
- New Urbanism
- Operation Breakthrough
- Panic Room (Safe Room)
- Prefabrication
- Smart House and Automation Technologies
- Solar Housing
- Building Cycle
- Building Permit
- Consolidated Plans
- Home Improvement
- Housing Finance Agencies
- Landscape Architecture
- Maintenance
- Savings and Loan Industry
- Adjustable-Rate Mortgages
- Equity
- Mortgage Credit Certificates
- Mortgage Finance
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- Negative Amortization
- Proposition 13
- Second Mortgage
- Subprime Mortgage Crisis
- Tax Expenditures
- Tax Incentives
- Accessory Dwelling Units
- Aging in Place
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- Congregate Housing
- Continuing Care Retirement Communities
- Dementia
- Disabilities, Housing of Persons with
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- Home Care
- Hospice Care
- Nursing Homes
- Retirement Communities
- Reverse-Equity Mortgage
- Second Homes
- Universal Design
- Depreciation of Property
- Lease
- Multifamily Housing
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- Residential Hotels
- Residential Property Management
- Gautreaux Program
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- Pruitt-Igoe
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- Tenure Sectors
- Adaptive Reuse
- Brownfields
- Community Reinvestment Act
- Gentrification
- High-Rise Housing
- Historic Preservation
- Homestead
- Incumbent Upgrading
- Infill Housing
- Mixed-Income Housing
- Model Cities Program
- Tax Increment Financing
- Urban Redevelopment
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