Generated by GPT-5-mini| S&P CoreLogic Case-Shiller | |
|---|---|
| Name | S&P CoreLogic Case-Shiller |
| Type | Housing price index |
| Operator | S&P Dow Jones Indices; CoreLogic |
| Introduced | 1987 |
| Components | 20 metropolitan indices; Composite 10; Composite 20; National Index |
| Frequency | Monthly |
| Methodology | Repeat-sales, hedonic adjustments |
S&P CoreLogic Case-Shiller The S&P CoreLogic Case-Shiller index series is a set of leading indicators tracking residential house price movements across multiple United States metropolitan areas and national aggregates, known for use in financial markets, policy analysis, and real estate research. Developed from work by Karl Case, Robert Shiller, and Allan Weiss, the series is maintained by Standard & Poor's in partnership with CoreLogic and is widely cited by Federal Reserve Board officials, Wall Street analysts, and academic researchers. The indices are used alongside series from the Bureau of Labor Statistics, Bureau of Economic Analysis, and private data providers to assess housing cycles, leverage, and wealth effects.
The index family comprises multiple measures including metropolitan area indices, a 10-city composite, a 20-city composite, and a national index, all constructed to reflect repeat transactions of single-family homes. Originating from academic research at Yale University and later commercialized with input from firms such as Fidelity Investments and Fannie Mae, the indices inform decisions at institutions like the Federal Reserve Bank of New York, International Monetary Fund, and major investment banks. Investors access the data through terminals provided by Bloomberg L.P., Refinitiv, and platforms maintained by S&P Global and CoreLogic.
The indices employ a repeat-sales regression approach pioneered by Karl Case and Robert Shiller, matching multiple sales of the same property over time to isolate price change while controlling for quality. The methodology incorporates hedonic techniques and employs weighting schemes derived from census and CoreLogic transaction volumes to construct metropolitan and national aggregates. Time-series adjustments, seasonality controls, and index smoothing are applied consistent with practices referenced in studies from National Bureau of Economic Research and publications in the Journal of Finance. The methodology has been reviewed by academics at Harvard University, Massachusetts Institute of Technology, and University of California, Berkeley.
The suite includes the 20-City Composite, 10-City Composite, National Home Price Index, and individual indices for metropolitan areas such as New York City, Los Angeles, Chicago, San Francisco, Boston, Seattle, Miami, Washington, D.C., Dallas–Fort Worth, Atlanta, Phoenix, Houston, Detroit, Philadelphia, Minneapolis–Saint Paul, San Diego, Portland, Oregon, Tampa Bay, Cleveland, and St. Louis. Coverage extends to tens of thousands of repeat transactions drawn from county recorder offices, multiple listing services associated with National Association of Realtors, and property databases maintained by CoreLogic. The indices are published monthly and synchronized with other macro indicators such as Consumer Price Index releases and Gross Domestic Product reports.
Since inception, the indices recorded long-term appreciation punctuated by volatility associated with major episodes like the United States housing bubble of the mid-2000s and the Global financial crisis of 2007–2008. Post-crisis dynamics, influenced by policy responses from the Federal Reserve System and fiscal measures enacted by the United States Congress, show varied recovery paths across metros: rapid rebounds in markets such as San Francisco and Seattle contrasted with slower recoveries in Detroit and Cleveland. The series has been used to document phenomena like regional divergence, price-to-rent ratio shifts studied by scholars at Princeton University and Columbia University, and the impact of mortgage innovations traced by analysts at Moody's Analytics and S&P Global Ratings.
Practitioners use the indices for mortgage-backed securities valuation by firms including Goldman Sachs, JP Morgan Chase, and BlackRock; for risk management at insurers like AIG and reinsurers such as Munich Re; and for policymaking by agencies like the Department of Housing and Urban Development and the Federal Deposit Insurance Corporation. Academics employ the series in empirical papers at journals such as American Economic Review and Quarterly Journal of Economics. Media outlets like The Wall Street Journal, The New York Times, Financial Times, Bloomberg, and Reuters regularly cite the data when reporting on housing-market developments and wealth effects tied to household consumption measured by Bureau of Economic Analysis statistics.
Critiques note limitations in sample representativeness, as repeat-sales samples may underweight new construction and condominium markets prominent in cities like Manhattan or San Francisco. Scholars from Yale University and University of Pennsylvania have debated biases arising from changes in housing quality, renovations, and use of hedonic adjustments. Other criticisms focus on timeliness and frequency compared with transaction-level datasets provided by Zillow and Redfin, and on geographic granularity versus county-level measures produced by CoreLogic and the Federal Housing Finance Agency. Regulators and researchers caution against overreliance on a single series for monetary policy decisions, emphasizing triangulation with indicators from the Office of the Comptroller of the Currency and central banks such as the European Central Bank and Bank of England.
Category:Housing indices