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Case–Shiller index

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He says that since homes are relatively infrequent purchases, people tend to remember the purchase price of a home from long ago and are surprised at the difference between then and now. However, most of the difference in the prices can be explained by inflation. He also discusses how people consistently overestimate the appreciation in the value of their homes. The US Census, since 1940, has asked home owners to estimate the value of their homes. The home-owners' estimates reflect an appreciation of 2% per year in real terms, which is significantly more than the 0.7% actual increase over the same interval as reflected in Case-Shiller index.
1174:. According to Shiller, one of the main purposes of futures and options trading in the Case-Shiller indices is to allow people to hedge the real estate market. The problem, however, is that the volume of trading in these markets is small enough as to make them relatively illiquid which creates a risk for the investor in these securities. Shiller himself has said that “there has been a disappointing volume of trade in these futures markets.” The volume traded in the CME S&P Case-Shiller Index for the full year 2007 was 2,995 contracts. That number declined over the following years, and throughout 2017 only 136 contracts traded. 858: 916: 62: 928: 20: 70: 308: 100:. There are multiple Case–Shiller home price indices: A national home price index, a 20-city composite index, a 10-city composite index, and twenty individual metro area indices. These indices were first produced commercially by Case Shiller Weiss. They are now calculated and kept monthly by Standard & Poor's, with data calculated for January 1987 to present. The indices kept by Standard & Poor are normalized to a value of 100 in January 2000. They are based on original work by economists 28: 108:, whose team calculated the home price index back to 1990. Case and Shiller's index is normalized to a value of 100 in 1990. The Case-Shiller index on Shiller's website is updated quarterly. The two datasets can greatly differ due to different reference points and calculations. For example, in the 4th quarter of 2013, the Standard and Poor 20 city index point was in the 160's, while the index point for 4th quarter on the Shiller data was in the 130's. Shiller claims in his book 2512: 78: 2538: 909:
has mostly fluctuated between 100 and 120, with peaks (followed by precipitous falls) in 1Q 1979 (which peaked at 122), 3Q 1989 (at 126), and 1Q 2006 (at 198). After the 2000s housing bubble, the low point of the index was in 1Q 2012, at 114. By 4Q 2013 the index had rebounded to 134. As of December 2019 (as per: "fred.stlouisfed.org") the S&P/Case‑Shiller U. S. National Home Price Index was at 213.789.
2525: 195:. Contrary to popular belief, there has been no continuous uptrend in home prices in the US and the home prices show a strong tendency to return to their 1890 level in real terms. Moreover, he illustrates how the pattern of changes in home prices bears no relation to changes in construction costs, interest rates or population. 165:
a bubble, after all the period after World War II had seen a substantial rise in real prices without any subsequent drop as apparent in the chart. The prices peaked in the first quarter of 2006, when the index kept by Shiller recorded a level of 198.01, but fell rapidly after that to 113.89 in the first quarter of 2012.
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Using Case and Shiller's original methods, the national index attained its all-time high of 198.01 in 2006 Q1. The S&P index attained an all-time high in July 2006, at a value of 206.52. On December 30, 2008, the index recorded its largest year-to-year drop. Since World War II, the original index
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book in 2005, when, according to him, the data looked like "a rocket taking off". In his book he expresses skepticism over "the long-run stability of home prices", given that the rise in home prices was much higher than the rise in income. However, he refrains from explicitly stating that this may be
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Shiller notes that there is a strong perception across the globe that home prices are continuously increasing, and that this kind of sentiment and paradigm may be fueling bubbles in real estate markets. He points to some psychological heuristics that may be responsible for creating this perception.
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who served as the CEO of Case Shiller Weiss from the company's 1991 inception until its sale to Fiserv in 2002. Case developed a method for comparing repeat sales of the same homes in an effort to study home pricing trends. He was using data from house sales in Boston in the early 1980s, which was
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and economic bubbles, and together formed a repeat-sales index using home sales prices data from other cities across the country. In 1991, while Weiss was in graduate school he formed an informal working relationship with Shiller. Weiss proposed to Case and Shiller to form a company, Case Shiller
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Prices remained consistently higher than the 1890 level during this period, though they gradually declined. Shiller cites the end of World War II, beginning of the Baby Boom and the GI Bill of Rights (1944) that subsidized home purchases. He also claims that the scars of the Great Depression
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The S&P index family includes 20 metropolitan area indices and two composite indices as aggregates of the metropolitan areas. These indices are three-month moving averages. The composite and city indices are normalized to have a value of 100 in January 2000.
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using a modified version of the weighted-repeat sales methodology. This method is able to adjust for the quality of the homes sold, unlike simple indices based on averages. The CSXR is a three-month moving average as are the indices that compose it.
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The years 2006–2012 saw the largest crash in global real estate markets in recent history; whether this could have been predicted using the Case–Shiller index is up for dispute. Shiller did see some early signs. He released the second edition of his
231:, is that real home prices show a remarkable tendency to return to their 1890 level. However, there have been some key periods where the prices have departed from this level. Shiller offers some explanations for these episodes in his book: 206:
Mobility: Shiller argues that "people and business will, if home prices are high enough, move far away, even leaving an area completely". Land may be scarce locally, but urban land area is only 2.6% of the total land area in the United
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Allan Weiss, who did graduate work informally advised by Shiller. He then persuaded the professors to form a company to produce the indexes commercially in 1991. In 2002 they sold Case Shiller Weiss to electronic data giant Fiserv
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Thus, real home prices are essentially trend-less and do not show any continuous uptrend or downtrend in the long-run. This is not limited to the US as it is also observed in the real home price indices of Netherlands and Norway.
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Easing land restrictions: Increasing prices put pressure on the government to ease restrictions on land in terms of how much can be built on a particular amount of land and also the amount of land available for
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using a modified version of the weighted-repeat sales methodology. This method is able to adjust for the quality of the homes sold, unlike simple indices based on averages.
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Technology Improvements: Construction technology has improved considerably making home building cheaper and faster, which puts downward pressure on home prices.
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divisions. It is calculated monthly, using a three-month moving average. The S&P national index is normalized to have a value of 100 in the January 2000.
238:: This was the only period where prices were considerably below their 1890 level throughout. The start of the decline roughly corresponds with the start of 1706: 1497: 1303: 739: 694: 383: 1446: 1721: 1288: 814: 649: 443: 915: 2496: 1213: 574: 428: 664: 2451: 679: 1814: 1243: 1228: 604: 589: 488: 473: 122:
The indices are calculated from data on repeat sales of single-family homes, an approach developed by economists Case, Shiller and
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The S&P CoreLogic Case–Shiller U.S. National Home Price Index is a composite of single-family home price indices for the nine
1957: 1819: 2466: 1685: 1856: 1669: 1644: 1585: 1555: 1530: 1420: 1790: 2456: 1318: 844: 799: 709: 559: 368: 2481: 1751: 724: 2279: 1962: 754: 152:, developed tradable indices based on the data for the markets which are now commonly called the Case-Shiller index. 900:(REIT). REIT's track commercial real estate most closely, rather than home prices, explaining the low correlation. 180: 1472: 1283: 1253: 1186: 829: 824: 644: 614: 438: 393: 1504: 2436: 2416: 1881: 1333: 1328: 769: 764: 413: 408: 2542: 1208: 569: 520: 423: 328: 2569: 2446: 2390: 1995: 1268: 1223: 897: 629: 584: 498: 468: 110: 202:
Shiller also offers some explanations as to why a continuous uptrend is not observed in real home prices:
135:, a commonly used term to describe similar market trends. Case sat down with Shiller, who was researching 2395: 2385: 1952: 749: 169: 140:
Weiss, to produce the index periodically with the intent of selling the information to the markets. The
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that such a long series of home prices does not appear to have been published for any country.
131:. While Case argued that such a boom was ultimately unsustainable, he had not considered it a 2355: 2335: 2309: 2299: 2259: 2127: 2088: 1990: 1947: 1937: 1922: 1902: 1367: 1258: 619: 398: 2516: 2269: 2199: 2062: 2005: 1927: 1917: 1907: 1842: 289: 141: 8: 2426: 2249: 2244: 2078: 1983: 1978: 1372: 2476: 2350: 2304: 2284: 2117: 2098: 2040: 2015: 191:
Shiller draws some key insights from his analysis of long term home prices in his book
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Case–Shiller indexes are available for trading as futures and futures options.
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Comparison the percentage change for the housing correction beginning in 2006 (
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Case–Shiller home price indices, absolute and inflation adjusted, 2000–2016.
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The following indexes are combined to create the SPCS20R composite index:
299:) is updated quarterly, and is normalized to have a value of 100 in 1890. 27: 2486: 2340: 2162: 2157: 2030: 1865: 893: 881: 254:
all of which, Shiller argues, could have affected home prices negatively.
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The following indexes are combined to create the CXSR composite index:
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The index is a simplification of home values and does not account for
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acquired the Case Shiller Weiss business from Fiserv in April 2013.
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Options and futures based on Case-Shiller index are traded on the
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Case–Shiller home price index data, inflation adjusted, 1890–2018.
1603:"Understanding recent trends in house prices and home ownership" 273:: Reflects regional bubbles on West Coast as well as East Coast. 2226: 145: 1834: 880:
Macromarkets.com reports the US index has a slightly negative
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CoreLogic Acquisition and Overview of Case–Shiller Indexes
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is a composite index of the home price index for 20 major
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is a composite index of the home price index for 10 major
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United States Department of Housing and Urban Development
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in the United States. The index is published monthly by
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in the United States. The index is published monthly by
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The index kept by Shiller (available on his website at
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bought Case Shiller Weiss in 2002 and, together with
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A composite index of the top 10 MSAs in the country
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S&P/Case-Shiller U.S. National Home Price Index
1440: 1438: 1436: 1434: 1432: 227:Shiller's key observation, as outlined in his book 1630: 1628: 1626: 1470: 1349:New York–Northern New Jersey–Long Island, NY–NJ–PA 785:New York–Northern New Jersey–Long Island, NY–NJ–PA 459:New York–Northern New Jersey–Long Island, NY–NJ–PA 1571: 1569: 1567: 1406: 1404: 1402: 302: 2556: 1705:: CS1 maint: bot: original URL status unknown ( 1429: 1623: 921:Case–Shiller home-price index from 1890 to 2012 1737: 1735: 1688:. Archived from the original on March 28, 2007 1564: 1399: 2497:List of housing markets by real estate prices 1850: 1473:"CoreLogic acquires Case–Shiller from Fiserv" 267:: Reflects the regional bubble in California. 1447:"Bob Shiller didn't kill the housing market" 1444: 1274:Washington–Arlington–Alexandria, DC–VA–MD–WV 875: Case-Shiller National Home Price Index 635:Washington–Arlington–Alexandria, DC–VA–MD–WV 504:Washington–Arlington–Alexandria, DC–VA–MD–WV 1746:. Princeton University Press. p. 392. 1732: 2537: 1857: 1843: 1664:. Princeton University Press. p. 15. 1639:. Princeton University Press. p. 16. 1580:. Princeton University Press. p. 22. 1550:. Princeton University Press. p. 19. 1525:. Princeton University Press. p. 14. 1415:. Princeton University Press. p. 13. 892:, but slightly positive correlation with 527:and uses the Case and Shiller method of a 335:and uses the Case and Shiller method of a 297:http://www.econ.yale.edu/~shiller/data.htm 222: 117: 1614: 90:CoreLogic Case–Shiller Home Price Indices 47:money supply increases % change Y/Y 856: 306: 186: 76: 68: 60: 26: 18: 1815:S&P/Case–Shiller Home Price Indices 1788: 1741: 1659: 1634: 1600: 1575: 1545: 1520: 1410: 1289:Miami–Fort Lauderdale–Pompano Beach, FL 740:Minneapolis–St. Paul–Bloomington, MN–WI 650:Miami–Fort Lauderdale–Pompano Beach, FL 444:Miami–Fort Lauderdale–Pompano Beach, FL 283: 2557: 1719: 951:(from original data set back to 1890) 279:: Global boom and bust in real estate. 1838: 1766: 511: 319: 261:deflected any speculative tendencies. 2524: 1825:S&P's Blog on the Housing Market 1214:Los Angeles–Long Beach–Santa Ana, CA 903: 869: Deposits, All Commercial Banks 575:Los Angeles–Long Beach–Santa Ana, CA 429:Los Angeles–Long Beach–Santa Ana, CA 1304:Chicago–Naperville–Joliet, IL–IN–WI 949:Selected Case–Shiller index values 815:Portland–Vancouver–Beaverton, OR–WA 695:Chicago–Naperville–Joliet, IL–IN–WI 665:Tampa–St. Petersburg–Clearwater, FL 384:Chicago–Naperville–Joliet, IL–IN–WI 13: 2482:Undergraduate real estate programs 680:Atlanta–Sandy Springs–Marietta, GA 65:Median housing price by metro area 14: 2581: 2280:Investment rating for real estate 1808: 1744:Irrational Exuberance 3rd edition 1503:. CME Group. 2008. Archived from 1471:Margaret Chadbourn (2013-04-25). 1244:San Francisco–Oakland–Fremont, CA 1229:San Diego–Carlsbad–San Marcos, CA 1172:Quotes are available from the CME 755:Charlotte-Gastonia-Concord, NC-SC 605:San Francisco–Oakland–Fremont, CA 590:San Diego–Carlsbad–San Marcos, CA 489:San Francisco–Oakland–Fremont, CA 474:San Diego–Carlsbad–San Marcos, CA 16:United States house price indices 2536: 2523: 2511: 2510: 1601:Shiller, Robert (October 2007). 926: 914: 244:Great Influenza Pandemic of 1918 181:home mortgage interest deduction 1864: 1760: 1713: 1678: 1653: 1479:from the original on 2013-04-30 1284:South Florida metropolitan area 1254:Denver-Aurora Metropolitan Area 864:compared to Case-Shiller Index 852: 830:Dallas–Fort Worth–Arlington, TX 645:South Florida metropolitan area 615:Denver-Aurora Metropolitan Area 439:South Florida metropolitan area 394:Denver-Aurora Metropolitan Area 2437:Graduate real estate education 1882:Tertiary sector of the economy 1594: 1539: 1514: 1490: 1393:"Online Data - Robert Shiller" 1385: 521:Metropolitan Statistical Areas 329:Metropolitan Statistical Areas 303:The composite and city indices 1: 1830:Shiller's online data website 1378: 1165: 898:Real Estate Investment Trusts 23:Case-Shiller Home Price Index 2391:Real estate investment trust 1996:Extraterrestrial real estate 1789:Mantell, Ruth (2008-12-30). 1767:Dolan, John (22 June 2018). 1607:NBER Working Paper No. 13553 1269:Washington Metropolitan Area 1224:San Diego County, California 1183:Home Price Index description 630:Washington Metropolitan Area 585:San Diego County, California 543:Home Price Index description 499:Washington Metropolitan Area 469:San Diego County, California 352:Home Price Index description 311:20 metropolitan area indices 242:, which was followed by the 7: 2396:Real property administrator 2386:Real estate investment club 1720:Krantz, Matt (2011-05-26). 1445:Katie Benner (2009-07-07). 1356: 1329:Las Vegas metropolitan area 1319:Boston–Cambridge–Quincy, MA 845:Seattle–Tacoma–Bellevue, WA 825:Dallas–Fort Worth metroplex 800:Cleveland–Elyria–Mentor, OH 765:Las Vegas metropolitan area 750:Charlotte metropolitan area 710:Boston–Cambridge–Quincy, MA 560:Phoenix–Mesa–Scottsdale, AZ 409:Las Vegas metropolitan area 369:Boston–Cambridge–Quincy, MA 170:Chicago Mercantile Exchange 10: 2586: 2053:Private equity real estate 1344:New York metropolitan area 1334:Las Vegas–Paradise, NV MSA 810:Portland metropolitan area 780:New York metropolitan area 770:Las Vegas–Paradise, NV MSA 725:Detroit–Warren–Livonia, MI 454:New York metropolitan area 414:Las Vegas–Paradise, NV MSA 2505: 2409: 2328: 2235: 2107: 2071: 2001:International real estate 1971: 1890: 1872: 1299:Chicago metropolitan area 948: 840:Seattle metropolitan area 690:Chicago metropolitan area 675:Atlanta metropolitan area 555:Phoenix metropolitan area 379:Chicago metropolitan area 1742:Shiller, Robert (2015). 1660:Shiller, Robert (2005). 1635:Shiller, Robert (2005). 1576:Shiller, Robert (2005). 1546:Shiller, Robert (2005). 1521:Shiller, Robert (2005). 1411:Shiller, Robert (2005). 2195:Real estate transaction 2084:Real estate development 937:) and the correction ( 223:Key events and episodes 118:History and methodology 37: Home Price Index 2295:Real estate derivative 2255:Effective gross income 2021:Healthcare real estate 1771:. homepricefutures.com 877: 735:Minneapolis-Saint Paul 312: 82: 74: 66: 58: 24: 2452:Industry trade groups 2356:Exclusive buyer agent 2310:Real estate valuation 2300:Real estate economics 2260:Gross rent multiplier 2089:Real estate investing 1991:Corporate Real Estate 1662:Irrational Exuberance 1637:Irrational Exuberance 1578:Irrational Exuberance 1548:Irrational Exuberance 1523:Irrational Exuberance 1413:Irrational Exuberance 1368:Real estate appraisal 860: 525:Standard & Poor's 333:Standard & Poor's 310: 229:Irrational Exuberance 193:Irrational Exuberance 187:Economic implications 162:Irrational Exuberance 150:Standard & Poor's 111:Irrational Exuberance 87:Standard & Poor's 80: 72: 64: 30: 22: 2270:Highest and best use 2236:Economics, financing 2200:Real estate contract 2094:Real estate flipping 2063:Residential property 2006:Lease administration 1958:United Arab Emirates 284:The national indices 2570:Real estate indices 2250:Capitalization rate 2245:Asset-based lending 2079:Property management 1984:Commercial building 1979:Commercial property 1373:Real estate pricing 1209:Greater Los Angeles 941:) beginning in 1989 570:Greater Los Angeles 424:Greater Los Angeles 94:house price indices 2477:Real estate trends 2381:Real estate broker 2351:Chartered Surveyor 2305:Real estate bubble 2285:Mortgage insurance 2118:Adverse possession 2041:Luxury real estate 2016:Garden real estate 878: 512:Composite 20 index 320:Composite 10 index 313: 137:behavioral finance 129:housing price boom 83: 75: 67: 59: 55:Federal funds rate 25: 2552: 2551: 2190:Property abstract 2173:Land registration 2133:Concurrent estate 2058:Real estate owned 2048:Off-plan property 2026:Vacation property 2011:Niche real estate 1671:978-0-691-12335-6 1646:978-0-691-12335-6 1587:978-0-691-12335-6 1557:978-0-691-12335-6 1532:978-0-691-12335-6 1422:978-0-691-12335-6 1363:House price index 1354: 1353: 1259:Denver–Aurora, CO 1163: 1162: 904:Historical values 850: 849: 795:Greater Cleveland 620:Denver–Aurora, CO 529:house price index 509: 508: 399:Denver–Aurora, CO 337:house price index 92:are repeat-sales 2577: 2540: 2539: 2527: 2526: 2514: 2513: 2457:Investment firms 2376:Property manager 2275:Home equity loan 2178:Leasehold estate 2138:Conditional sale 1859: 1852: 1845: 1836: 1835: 1804: 1802: 1801: 1781: 1780: 1778: 1776: 1764: 1758: 1757: 1739: 1730: 1729: 1717: 1711: 1710: 1704: 1696: 1694: 1693: 1682: 1676: 1675: 1657: 1651: 1650: 1632: 1621: 1620: 1618: 1598: 1592: 1591: 1573: 1562: 1561: 1543: 1537: 1536: 1518: 1512: 1511: 1509: 1502: 1494: 1488: 1487: 1485: 1484: 1468: 1462: 1461: 1455: 1454: 1442: 1427: 1426: 1408: 1397: 1396: 1389: 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Reuters.com. 1469: 1465: 1452: 1450: 1443: 1430: 1423: 1409: 1400: 1391: 1390: 1386: 1381: 1359: 1168: 950: 942: 938: 934: 931: 922: 919: 906: 876: 872: 870: 866: 855: 514: 322: 305: 286: 225: 189: 120: 57: 50: 48: 40: 38: 34: 32: 17: 12: 11: 5: 2583: 2573: 2572: 2567: 2550: 2549: 2547: 2546: 2543:List of topics 2533: 2520: 2506: 2503: 2502: 2500: 2499: 2494: 2492:Urban planning 2489: 2484: 2479: 2474: 2472:Property cycle 2469: 2464: 2459: 2454: 2449: 2444: 2439: 2434: 2432:Gentrification 2429: 2424: 2419: 2413: 2411: 2407: 2406: 2404: 2403: 2398: 2393: 2388: 2383: 2378: 2373: 2371:Moving company 2368: 2363: 2358: 2353: 2348: 2343: 2338: 2332: 2330: 2326: 2325: 2323: 2322: 2317: 2312: 2307: 2302: 2297: 2292: 2287: 2282: 2277: 2272: 2267: 2262: 2257: 2252: 2247: 2241: 2239: 2233: 2232: 2230: 2229: 2224: 2219: 2214: 2209: 2204: 2203: 2202: 2192: 2187: 2186: 2185: 2175: 2170: 2165: 2160: 2155: 2153:Eminent domain 2150: 2145: 2140: 2135: 2130: 2125: 2123:Chain of title 2120: 2114: 2112: 2111:and regulation 2105: 2104: 2102: 2101: 2096: 2091: 2086: 2081: 2075: 2073: 2069: 2068: 2066: 2065: 2060: 2055: 2050: 2045: 2044: 2043: 2038: 2033: 2028: 2023: 2018: 2008: 2003: 1998: 1993: 1988: 1987: 1986: 1975: 1973: 1969: 1968: 1966: 1965: 1963:United Kingdom 1960: 1955: 1950: 1945: 1940: 1935: 1930: 1925: 1920: 1915: 1910: 1905: 1900: 1894: 1892: 1888: 1887: 1885: 1884: 1879: 1873: 1870: 1869: 1862: 1861: 1854: 1847: 1839: 1833: 1832: 1827: 1822: 1817: 1810: 1809:External links 1807: 1806: 1805: 1783: 1782: 1759: 1753:978-1469640662 1752: 1731: 1712: 1686:"MacroMarkets" 1677: 1670: 1652: 1645: 1622: 1616:10.3386/w13553 1593: 1586: 1563: 1556: 1538: 1531: 1513: 1489: 1463: 1449:. CNNMoney.com 1428: 1421: 1398: 1383: 1382: 1380: 1377: 1376: 1375: 1370: 1365: 1358: 1355: 1352: 1351: 1346: 1341: 1337: 1336: 1331: 1326: 1322: 1321: 1316: 1314:Greater Boston 1311: 1307: 1306: 1301: 1296: 1292: 1291: 1286: 1281: 1277: 1276: 1271: 1266: 1262: 1261: 1256: 1251: 1247: 1246: 1241: 1236: 1232: 1231: 1226: 1221: 1217: 1216: 1211: 1206: 1202: 1201: 1198: 1195: 1191: 1190: 1184: 1181: 1167: 1164: 1161: 1160: 1157: 1153: 1152: 1149: 1145: 1144: 1141: 1137: 1136: 1133: 1129: 1128: 1125: 1121: 1120: 1117: 1113: 1112: 1109: 1105: 1104: 1101: 1097: 1096: 1093: 1089: 1088: 1085: 1081: 1080: 1077: 1073: 1072: 1069: 1065: 1064: 1061: 1057: 1056: 1053: 1049: 1048: 1045: 1041: 1040: 1037: 1033: 1032: 1029: 1025: 1024: 1021: 1017: 1016: 1013: 1009: 1008: 1005: 1001: 1000: 997: 993: 992: 989: 985: 984: 981: 977: 976: 973: 969: 968: 965: 961: 960: 957: 953: 952: 944: 943: 932: 925: 923: 920: 913: 905: 902: 871: 865: 854: 851: 848: 847: 842: 837: 833: 832: 827: 822: 818: 817: 812: 807: 803: 802: 797: 792: 788: 787: 782: 777: 773: 772: 767: 762: 758: 757: 752: 747: 743: 742: 737: 732: 728: 727: 722: 717: 713: 712: 707: 705:Greater Boston 702: 698: 697: 692: 687: 683: 682: 677: 672: 668: 667: 662: 660:Tampa Bay Area 657: 653: 652: 647: 642: 638: 637: 632: 627: 623: 622: 617: 612: 608: 607: 602: 597: 593: 592: 587: 582: 578: 577: 572: 567: 563: 562: 557: 552: 548: 547: 544: 541: 513: 510: 507: 506: 501: 496: 492: 491: 486: 481: 477: 476: 471: 466: 462: 461: 456: 451: 447: 446: 441: 436: 432: 431: 426: 421: 417: 416: 411: 406: 402: 401: 396: 391: 387: 386: 381: 376: 372: 371: 366: 364:Greater Boston 361: 357: 356: 353: 350: 321: 318: 304: 301: 285: 282: 281: 280: 274: 268: 262: 255: 224: 221: 216: 215: 212: 208: 188: 185: 119: 116: 106:Robert Shiller 49: 39: 33: 15: 9: 6: 4: 3: 2: 2582: 2571: 2568: 2566: 2563: 2562: 2560: 2545: 2544: 2534: 2532: 2531: 2521: 2519: 2518: 2508: 2507: 2504: 2498: 2495: 2493: 2490: 2488: 2485: 2483: 2480: 2478: 2475: 2473: 2470: 2468: 2465: 2463: 2460: 2458: 2455: 2453: 2450: 2448: 2445: 2443: 2440: 2438: 2435: 2433: 2430: 2428: 2425: 2423: 2420: 2418: 2415: 2414: 2412: 2408: 2402: 2399: 2397: 2394: 2392: 2389: 2387: 2384: 2382: 2379: 2377: 2374: 2372: 2369: 2367: 2364: 2362: 2359: 2357: 2354: 2352: 2349: 2347: 2344: 2342: 2339: 2337: 2334: 2333: 2331: 2327: 2321: 2318: 2316: 2313: 2311: 2308: 2306: 2303: 2301: 2298: 2296: 2293: 2291: 2290:Mortgage loan 2288: 2286: 2283: 2281: 2278: 2276: 2273: 2271: 2268: 2266: 2263: 2261: 2258: 2256: 2253: 2251: 2248: 2246: 2243: 2242: 2240: 2238:and valuation 2234: 2228: 2225: 2223: 2222:Torrens title 2220: 2218: 2215: 2213: 2210: 2208: 2207:Real property 2205: 2201: 2198: 2197: 2196: 2193: 2191: 2188: 2184: 2181: 2180: 2179: 2176: 2174: 2171: 2169: 2166: 2164: 2161: 2159: 2156: 2154: 2151: 2149: 2146: 2144: 2141: 2139: 2136: 2134: 2131: 2129: 2126: 2124: 2121: 2119: 2116: 2115: 2113: 2110: 2106: 2100: 2097: 2095: 2092: 2090: 2087: 2085: 2082: 2080: 2077: 2076: 2074: 2070: 2064: 2061: 2059: 2056: 2054: 2051: 2049: 2046: 2042: 2039: 2037: 2036:Golf property 2034: 2032: 2029: 2027: 2024: 2022: 2019: 2017: 2014: 2013: 2012: 2009: 2007: 2004: 2002: 1999: 1997: 1994: 1992: 1989: 1985: 1982: 1981: 1980: 1977: 1976: 1974: 1970: 1964: 1961: 1959: 1956: 1954: 1951: 1949: 1946: 1944: 1941: 1939: 1936: 1934: 1931: 1929: 1926: 1924: 1921: 1919: 1916: 1914: 1911: 1909: 1906: 1904: 1901: 1899: 1896: 1895: 1893: 1889: 1883: 1880: 1878: 1875: 1874: 1871: 1867: 1860: 1855: 1853: 1848: 1846: 1841: 1840: 1837: 1831: 1828: 1826: 1823: 1821: 1818: 1816: 1813: 1812: 1796: 1792: 1787: 1786: 1770: 1763: 1755: 1749: 1745: 1738: 1736: 1727: 1723: 1716: 1708: 1702: 1687: 1681: 1673: 1667: 1663: 1656: 1648: 1642: 1638: 1631: 1629: 1627: 1617: 1612: 1608: 1604: 1597: 1589: 1583: 1579: 1572: 1570: 1568: 1559: 1553: 1549: 1542: 1534: 1528: 1524: 1517: 1506: 1499: 1493: 1478: 1474: 1467: 1460: 1448: 1441: 1439: 1437: 1435: 1433: 1424: 1418: 1414: 1407: 1405: 1403: 1394: 1388: 1384: 1374: 1371: 1369: 1366: 1364: 1361: 1360: 1350: 1347: 1345: 1342: 1339: 1338: 1335: 1332: 1330: 1327: 1324: 1323: 1320: 1317: 1315: 1312: 1309: 1308: 1305: 1302: 1300: 1297: 1294: 1293: 1290: 1287: 1285: 1282: 1279: 1278: 1275: 1272: 1270: 1267: 1264: 1263: 1260: 1257: 1255: 1252: 1249: 1248: 1245: 1242: 1240: 1239:San Francisco 1237: 1234: 1233: 1230: 1227: 1225: 1222: 1219: 1218: 1215: 1212: 1210: 1207: 1204: 1203: 1199: 1196: 1193: 1192: 1188: 1185: 1182: 1179: 1178: 1175: 1173: 1158: 1155: 1154: 1150: 1147: 1146: 1142: 1139: 1138: 1134: 1131: 1130: 1126: 1123: 1122: 1118: 1115: 1114: 1110: 1107: 1106: 1102: 1099: 1098: 1094: 1091: 1090: 1086: 1083: 1082: 1078: 1075: 1074: 1070: 1067: 1066: 1062: 1059: 1058: 1054: 1051: 1050: 1046: 1043: 1042: 1038: 1035: 1034: 1030: 1027: 1026: 1022: 1019: 1018: 1014: 1011: 1010: 1006: 1003: 1002: 998: 995: 994: 990: 987: 986: 982: 979: 978: 974: 971: 970: 966: 963: 962: 958: 955: 954: 947: 929: 924: 917: 912: 911: 910: 901: 899: 895: 891: 887: 883: 863: 862:Bank deposits 859: 846: 843: 841: 838: 835: 834: 831: 828: 826: 823: 820: 819: 816: 813: 811: 808: 805: 804: 801: 798: 796: 793: 790: 789: 786: 783: 781: 778: 775: 774: 771: 768: 766: 763: 760: 759: 756: 753: 751: 748: 745: 744: 741: 738: 736: 733: 730: 729: 726: 723: 721: 720:Metro Detroit 718: 715: 714: 711: 708: 706: 703: 700: 699: 696: 693: 691: 688: 685: 684: 681: 678: 676: 673: 670: 669: 666: 663: 661: 658: 655: 654: 651: 648: 646: 643: 640: 639: 636: 633: 631: 628: 625: 624: 621: 618: 616: 613: 610: 609: 606: 603: 601: 600:San Francisco 598: 595: 594: 591: 588: 586: 583: 580: 579: 576: 573: 571: 568: 565: 564: 561: 558: 556: 553: 550: 549: 545: 542: 539: 538: 535: 532: 530: 526: 522: 518: 505: 502: 500: 497: 494: 493: 490: 487: 485: 484:San Francisco 482: 479: 478: 475: 472: 470: 467: 464: 463: 460: 457: 455: 452: 449: 448: 445: 442: 440: 437: 434: 433: 430: 427: 425: 422: 419: 418: 415: 412: 410: 407: 404: 403: 400: 397: 395: 392: 389: 388: 385: 382: 380: 377: 374: 373: 370: 367: 365: 362: 359: 358: 354: 351: 348: 347: 344: 341: 338: 334: 330: 326: 317: 309: 300: 298: 293: 291: 278: 275: 272: 269: 266: 263: 259: 256: 253: 249: 245: 241: 237: 234: 233: 232: 230: 220: 213: 209: 205: 204: 203: 200: 196: 194: 184: 182: 178: 173: 171: 166: 163: 157: 155: 151: 147: 143: 138: 134: 130: 125: 115: 113: 112: 107: 103: 99: 98:United States 95: 91: 88: 79: 71: 63: 56: 46: 29: 21: 2541: 2529: 2515: 2462:Land banking 2361:Land banking 2346:Buyer broker 2320:Rental value 2143:Conveyancing 1953:Saudi Arabia 1798:. Retrieved 1794: 1773:. Retrieved 1762: 1743: 1725: 1715: 1690:. Retrieved 1680: 1661: 1655: 1636: 1606: 1596: 1577: 1547: 1541: 1522: 1516: 1505:the original 1492: 1481:. Retrieved 1466: 1457: 1451:. Retrieved 1412: 1387: 1189:designation 1169: 907: 879: 853:Correlations 533: 516: 515: 342: 324: 323: 314: 294: 287: 276: 270: 264: 257: 252:World War II 250:and finally 235: 228: 226: 217: 211:development. 201: 197: 192: 190: 177:imputed rent 174: 167: 161: 158: 121: 109: 89: 84: 2487:Urban decay 2341:Buyer agent 2163:Foreclosure 2158:Encumbrance 2031:Arable land 1943:Puerto Rico 1891:By location 1866:Real estate 1795:MarketWatch 894:commodities 882:correlation 290:U.S. Census 240:World War I 124:Allan Weiss 2559:Categories 2442:Green belt 2315:Remortgage 2099:Relocation 1898:Bangladesh 1800:2012-12-02 1692:2007-12-26 1483:2013-05-07 1453:2009-07-07 1379:References 1166:Securities 959:Annual/4Q 258:1953–1977: 2427:Filtering 2417:Companies 2336:Appraiser 2217:Severance 1913:Indonesia 1726:USA Today 1197:Composite 277:1997–2012 271:1985–1989 265:1976–1982 236:1921–1942 154:CoreLogic 102:Karl Case 2517:Category 2422:Eviction 2366:Landlord 2168:Land law 1933:Pakistan 1877:Property 1701:cite web 1477:Archived 1357:See also 96:for the 2530:Commons 2447:Indices 2329:Parties 2128:Closing 2072:Sectors 1775:14 July 1159:134.02 1151:121.58 1143:115.84 1135:124.56 1127:130.93 1119:133.97 1111:170.09 1103:192.29 1095:195.35 1087:123.30 1079:106.73 1071:108.33 1063:124.89 1055:105.44 1047:118.82 1039:103.46 1031:109.56 1023:109.65 1015:105.89 975:101.57 517:SPCS20R 207:States. 142:FinTech 53:  2535:  2522:  2509:  2467:People 2401:Tenant 2227:Zoning 1948:Russia 1938:Panama 1923:Turkey 1903:Canada 1750:  1668:  1643:  1584:  1554:  1529:  1419:  1180:Ticker 1007:81.73 999:69.49 991:66.07 983:93.11 886:stocks 873:  867:  246:, the 146:Fiserv 144:giant 133:bubble 51:  43:  41:  35:  2410:Other 2183:Lease 1972:Types 1928:Kenya 1918:Italy 1908:China 1508:(PDF) 1501:(PDF) 890:bonds 884:with 540:Index 349:Index 2148:Deed 1777:2018 1748:ISBN 1707:link 1666:ISBN 1641:ISBN 1582:ISBN 1552:ISBN 1527:ISBN 1417:ISBN 1156:2013 1148:2012 1140:2011 1132:2010 1124:2009 1116:2008 1108:2007 1100:2006 1092:2005 1084:2000 1076:1996 1068:1994 1060:1989 1052:1984 1044:1979 1036:1975 1028:1970 1020:1960 1012:1950 1004:1940 996:1930 988:1920 980:1910 972:1900 967:100 964:1890 956:YEAR 939:blue 896:and 888:and 836:SEXR 821:DAXR 806:POXR 791:CEXR 776:NYXR 761:LVXR 746:CRXR 731:MNXR 716:DEXR 701:BOXR 686:CHXR 671:ATXR 656:TPXR 641:MIXR 626:WDXR 611:DNXR 596:SFXR 581:SDXR 566:LXXR 551:PHXR 495:WDXR 480:SFXR 465:SDXR 450:NYXR 435:MIXR 420:LXXR 405:LVXR 390:DNXR 375:CHXR 360:BOXR 325:CSXR 179:and 104:and 85:The 2109:Law 1611:doi 1340:NYM 1325:LAV 1310:BOS 1295:CHI 1280:MIA 1265:WDC 1250:DEN 1235:SFR 1220:SDG 1205:LAX 1194:CUS 1187:MSA 935:red 2561:: 1793:. 1734:^ 1724:. 1703:}} 1699:{{ 1625:^ 1609:. 1605:. 1566:^ 1456:. 1431:^ 1401:^ 172:. 45:M2 1858:e 1851:t 1844:v 1803:. 1779:. 1756:. 1728:. 1709:) 1695:. 1674:. 1649:. 1619:. 1613:: 1590:. 1560:. 1535:. 1486:. 1425:. 1395:.

Index



M2
Federal funds rate

text
text
Standard & Poor's
house price indices
United States
Karl Case
Robert Shiller
Irrational Exuberance
Allan Weiss
housing price boom
bubble
behavioral finance
FinTech
Fiserv
Standard & Poor's
CoreLogic
Chicago Mercantile Exchange
imputed rent
home mortgage interest deduction
World War I
Great Influenza Pandemic of 1918
Great Depression
World War II
U.S. Census
http://www.econ.yale.edu/~shiller/data.htm

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