Methodology The use of repeat sales is the most reliable way to estimate price changes in the housing market because the repeat sales approach

Similar documents
Residential March 2009

Residential November 2008

ASU-Repeat Sales Index (RSI) Methodology. Karl L. Guntermann Taylor Professor of Real Estate. Alex Horenstein Research Associate

Cromford Report Daily Observations January

Arizona Smarter Greener Better Solar Water Heating Program Qualified Contractor Application

SUPPORT DOCUMENTATION

Highway User Revenue Fund

ARIZONA DEPARTMENT OF REVENUE

ARIZONA DEPARTMENT OF REVENUE

Development Impact Fees

Budget and Finance Subcommittee

GREATER PHOENIX ECONOMIC COUNCIL MITCHEL ALLEN VP, BUSINESS DEVELOPMENT, INDUSTRIAL

TRANSIT LIFE CYCLE POLICIES

City of Goodyear. FY 2010/11 Final Budget. City Council Meeting June 14, 2010

Highway User Revenue Fund

Rents Continue on an Upward Trajectory

If you require an accessible version of this document, please contact us at:

Allstate cover windshield

Home Prices Extend Gains According to the S&P/Case-Shiller Home Price Indices

VALLEY METRO RPTA FY18 Budget EXECUTIVE SUMMARY

QUEEN CREEK UNIFIED SCHOOL DISTRICT NO. 95

Prices Spike as Newer Projects Command Top Dollar

CoreLogic S&P Case-Shiller Home Price Index Update A Compass Report for the San Francisco Metro Area, January 29, 2019

T H E C L U B R E P O R T E R

CAVE CREEK UNIFIED SCHOOL DISTRICT NO. 93

TARIFF SCHEDULES. Applicable to GAS SERVICE SOUTHWEST GAS CORPORATION

Valley Metro Rail FY18 Preliminary Budget Overview

ARIZONA TAX RESEARCH ASSOCIATION

BUCKEYE UNION HIGH SCHOOL DISTRICT NO.

QUEEN CREEK UNIFIED SCHOOL DISTRICT NO. 95

BUCKEYE ELEMENTARY SCHOOL DISTRICT NO. 33

Pace of Decline in Home Prices Moderates as the First Quarter of 2012 Ends, According to the S&P/Case-Shiller Home Price Indices

FY17 FY16 Valley Metro RPTA Sources of Funds FY17 vs FY16

QUEEN CREEK UNIFIED SCHOOL DISTRICT NO. 95

All Three Home Price Composites End 2011 at New Lows According to the S&P/Case-Shiller Home Price Indices

Executive Summary - Fiscal Year 2016 Valley Metro Rail Preliminary Annual Operating and Capital Budget

Condos December November. Townhomes December November

Condos December November. Townhomes December November

BUCKEYE ELEMENTARY SCHOOL DISTRICT NO. 33

Understanding the Tax Calculation. Teddy Dumlao

BUCKEYE ELEMENTARY SCHOOL DISTRICT NO. 33

Florida Economic Outlook State Gross Domestic Product

Health Insurance for Arizona Adults. Findings from the Arizona Health Survey 2008

TOLLESON ELEMENTARY SCHOOL DISTRICT NO. 17

PRESS RELEASE. Widespread Slowdown in Home Price Gains According to the S&P/Case-Shiller Home Price Indices

Residential Real Estate Valuation

A COMPLETE STUDY OF THE HISTORICAL RELATIONSHIP BETWEEN INTEREST RATE CYCLES AND MLP RETURNS

Public Safety Personnel Retirement System (PSPRS): The Task Force s Perspective

Labour Market Information Monthly

Total Operating Activities for FY17 are $56.9 million, an increase of $5.1M or 9.8% from FY16.

S&P CORELOGIC CASE-SHILLER NATIONAL INDEX SETS 30-MONTH ANNUAL RETURN HIGH

The Real Estate Report Volume 41, Number 2 Fall 2017 GENERAL SUMMARY

PRESS RELEASE. Home Price Gains Continue to Moderate According to the S&P/Case-Shiller Home Price Indices

Vets & Military Support. State Delegate Dues. Inspection Report

PRESS RELEASE. Home Prices Continue Climbing in June 2013 According to the S&P/Case-Shiller Home Price Indices

HIGLEY UNIFIED SCHOOL DISTRICT NO. 60

REGION 7W DESCRIPTION. Demographics

Comprehensive Annual Financial Report. Fiscal Year Ended June 30, 2010

HIGLEY UNIFIED SCHOOL DISTRICT NO. 60 GILBERT, ARIZONA COMPREHENSIVE ANNUAL FINANCIAL REPORT FOR THE FISCAL YEAR ENDED JUNE 30, 2012

VALLEY METRO RAIL FY18 Budget EXECUTIVE SUMMARY

LAS VEGAS LEADS PRICE GAINS IN JUNE ACCORDING TO S&P CORELOGIC CASE-SHILLER INDEX

Las Vegas Housing-Market Conditions

Date: January 11, Starting Time 12:00 p.m. Location: Valley Metro Lake Mead Conference Room (10B) 101 N. 1 st Avenue, 10 th Floor Phoenix

Recovery Performance

CAVE CREEK UNIFIED SCHOOL DISTRICT NO. 93

CITY OF BUCKEYE BUCKEYE VALLEY RURAL VOLUNTEER FIRE DISTRICT

TEMPE UNION HIGH SCHOOL DISTRICT NO. 213

SEPTEMBER S&P CORELOGIC CASE-SHILLER NATIONAL HOME PRICE NSA INDEX UP 6.2% IN LAST 12 MONTHS

MEETING OF THE Valley Metro Operations and Capital Committee. 10:00 a.m.

Metropolitan Areas: Recent Changes

DEER VALLEY UNIFIED SCHOOL DISTRICT NO. 97

TEMPE UNION HIGH SCHOOL DISTRICT NO. 213

COMMERCIAL REAL ESTATE PRICES MIXED: GENERAL COMMERCIAL SECTOR GAINS MOMENTUM WHILE INVESTMENT GRADE SEES SEASONAL DIP

Transit Life Cycle Program 2013 Update

SCHOOL DISTRICT ELECTIONS INFORMATION

MICROMARKET REPORT BOULDER

Growth in Personal Income for Maryland Falls Slightly in Last Quarter of 2015 But state catches up to U.S. rates

Audit and Finance Subcommittee

Valley Metro Rail, Inc. Phoenix, Arizona Comprehensive Annual Financial Report. Fiscal Year Ended June 30, 2012

Deer Valley Unified School District #97

Country Club Home Sales,

NORTHERN TAX-EXEMPT FIXED INCOME FUNDS

May 1965 CONSTRUCTION AND MORTGAGE MARKETS. Digitized for FRASER Federal Reserve Bank of St. Louis

DEER VALLEY UNIFIED SCHOOL DISTRICT NO. 97

ARIZONA TAX RESEARCH ASSOCIATION

DYSART UNIFIED SCHOOL DISTRICT NO. 89

PROPERTY BAROMETER FNB House Price Index The FNB House Price Index s year-on-year growth slowed in January, after prior months of acceleration

TEMPE UNION HIGH SCHOOL DISTRICT NO. 213

TEMPE ELEMENTARY SCHOOL DISTRICT NO. 3 TEMPE, ARIZONA. Inspire Excellence Every Child Every Adult Every Day

Transit Management Committee

NORTHERN TAX-EXEMPT FIXED INCOME FUNDS

C URRENT SSUES. Second. district highlights. Second District House Prices: Why So Weak in the 1990s?

PFSi Historical Measurement

Budget and Finance Subcommittee

TOLLESON ELEMENTARY SCHOOL DISTRICT NO. 17

Transit Management Committee

MONETARY POLICY COMING OUT OF RECESSION. Anna J. Schwartz National Bureau of Economic Research

The media often uses words

The Peterborough Census Metropolitan Area (CMA) spans the city of Peterborough and six other jurisdictions. The area is

August and November 2015 Election Results

Transcription:

May 2009

Methodology The use of repeat sales is the most reliable way to estimate price changes in the housing market because the repeat sales approach eliminates the need to deal with the many issues associated with the heterogeneous nature of housing. Repeat sales can be used to measure the price change of the same housing unit over time. A large number of repeat sales over many years can be analyzed to develop a repeat sales index. In contrast, indices developed using regression analysis provide estimates of price changes over time while simultaneously attempting to control for differences in house characteristics, location, demographics and market conditions, etc. within the model. Regression analysis can and does produce meaningful estimates of price changes but the results are not as reliable as those produced using repeat sales data. An even less rigorous approach would be to simply average sale prices by zip code or some other geographic area where the mix of housing sizes and ages, etc. would be different each month. The percent changes based on medians or averages would reflect not only price changes but also differences in the sizes, ages and other characteristics of the houses sold each month. The W.P. Carey School of Business Repeat Sales Index (RSI) tracks very closely to the S&P/Case - Shiller index for Phoenix since the same methodology is employed for calculating both indices. The S&P/ Case-Shiller index has been developed for 20 metropolitan areas and is being used as a basis for trading housing futures contracts in 10 of those markets. Any differences that exist between the two indices are partly due to the use of different house transactions databases and possibly by the way the data has been cleaned prior to the calculation process. For example, the ASU-RSI database provided by Ion Data includes For Sale by Owner (FSBO) sales, which are not included in the S&P/Case-Shiller index since it uses MLS data. The S&P/Case-Shiller index is proprietary so the cleaning procedure used in connection with that index could not be completely duplicated. However, following S&P/Case-Shiller, the cleaning process used with the ASU - RSI excludes pairs where the first sale involved new construction and pairs where sales occurred within six months of each other. Sale pairs with extremely high or low annual rates of price change are excluded since at least one of the transactions may involve a data error. The same justification is used to drop sales with extremely high or low prices or prices per square foot prior to matching the sale pairs. A more detailed explanation of the data cleaning and calculation process is contained in the ASU-RSI Methodology Report. The house price data used in the S&P/Case-Shiller index starts in uary 1989. Beginning with uary 1990, the percent change from the same month in the previous year is reported. The ASU RSI also begins with uary 1989 data so the same percent change calculation also begins in uary 1990 and is reported for each month since then. There is seasonality in house price data so month to month changes may not accurately reflect changes in market conditions and would cover a very short time period. Calculating a percent change from the same month in the previous 1

year controls for whatever seasonality may be present in the data. Annual rates of change typically are thought of applying to a calendar year but in this report the annual rates that are reported would be measuring change over the preceding twelve months. To smooth the index, data is included in calculations for the current month and the next two months before it is reported. This means that the rate of return calculated from each sale pair is included in calculations for a total of three months before it is published, which accounts for the difference between the date on the report and the ending date on the graphs. The graphs contained in this report show the annual rate of change in house prices for the Phoenix metropolitan area on a monthly basis. Figure 1 compares the change in the index to the trend based on data through December 2003. Figure 2 makes the same type of comparison using the median price of sales that were used to form sale pairs for the current month, not the median price of all sales that occurred during the month. Since the index is a moving three month average, preliminary estimates of the index and future median prices are included for the next two months in Figures 1 and 2 (through April 2009). The next ten graphs cover two time periods. Five of the graphs present the price changes from uary 1990 through February 2009 while the other five graphs cover the recent housing cycle beginning in uary 2004. The S&P/Case-Shiller index is published only for the entire Phoenix metro area. One major advantage to the ASU-RSI is that in addition to the overall index, the metro area has been divided into five regions and an index has been calculated for each region. All repeat sales used in the metro index are included in one of the regional indices. Indices have also been calculated for seven individual cities where there are a sufficient number of repeat sales for the index to be reliable. A list of the cities included in each region is in Table 1. TABLE 1 CITIES INCLUDED IN REGIONS REGION NORTHEAST NORTHWEST CITIES CAREFREE CAVE CREEK FOUNTAIN HILLS PARADISE VALLEY SCOTTSDALE EL MIRAGE GLENDALE PEORIA 2

SUN CITY / SUN CITY WEST SURPRISE YOUNGTOWN CENTRAL PHOENIX SOUTHEAST SOUTHWEST APACHE JUNCTION CHANDLER GILBERT HIGLEY MESA QUEEN CREEK SUN LAKES TEMPE AVONDALE BUCKEYE GOODYEAR LITCHFIELD PARK Summary The latest data for February 2009 reveals that house prices declined by 37 percent in the Phoenix metro area compared to 35 percent in uary and 33 percent in December 2008. The decline in the index which began in March 2007 has now continued for 24 months compared to 17 months in the early 1990s. Preliminary estimates of the index for March show prices declining at virtually the same rate as in February while the preliminary decline for April is 34 percent. While preliminary and subject to change, the April figure suggest that prices soon may be declining at a slower rather than a faster rate compared to the previous month. In this market, that would be considered good news. The rate of appreciation for the overall metro area peaked in September 2005 at a 44 percent annual rate with house prices increasing by 76 percent from uary 2004 to July 2006. As of February the total decline from the peak is 44 percent, which would put prices at a level not seen since April 1999. An important factor for both home owners and prospective purchasers is the median price of housing. Based on the sales reflected in the index, the median price was $121,000 in February compared to $130,000 in uary. The preliminary estimates for March, $119,000 and April, $117,500 would put prices back to the levels of March 1999 and November 1998, respectively. 3

While there is some evidence that the rate of decline is turning around, prices continue to decline but by much smaller amounts than in the past 18 months. Regions Annual rates of decline vary widely across the five regions as does the change in the rate of decline from uary to February 2009. The decline increased in all five regions with the Central and Southwest regions at over -40 percent for the preceding twelve months and the Northwest close behind. At the other end, prices declined by 27 percent in the Northeast and 30 percent in the Southeast regions. While there are still substantial differences between the regions, the range is narrowing. In all but the Northeast region, the decline from uary to February was smaller than the preceding month. TABLE 2 ANNUAL, MONTHLY AND TOTAL DECLINES IN HOUSE PRICES BY REGION EARLY 1990s VS THE PRESENT CENTRAL NORTHEAST SOUTHEAST NORTHWEST SOUTHWEST Feb. 2008-44.3% -26.5% -30.0% -38.1% -43.0% Feb. 2009. Feb. -4.4% -3.4% -2.7% -4.8% -3.7% 2009 1989 1992-3.2-9.7-7.0-15.3-21.2 2006 2009-49.9-30.5-40.8-49.6-55.0 While all five regions showed similar dramatic increases in house prices from uary 2004 to their 2006 peaks (74 81 percent), total price declines vary widely. The Southwest is down the most since the peak (55%) with the Central and Northwest regions close behind and even the Northeast down by over 30 percent. The early 1990s saw a recession and fallout from the excesses of the 1980s in the real estate market. The current weakness in the housing market has not only exceeded the duration experienced in the early 1990s but the magnitude of the declines far exceeds those from the 1989-1992 period in all regions. 4

Cities Variations similar to those observed in the regional data are also apparent in the city data. Rates of decline in house prices from February 2008 to 2009 ranged from 16 percent in Tempe to 40 percent in Glendale (Table 3). In Sun City/Sun City West the annual decline in the index had been in the range of -13 to -15 percent for over a year but increased for the second month in a row to -18 percent. The uary to February decline was larger in all cities except Mesa and Peoria compared to the previous month reflecting the continued deterioration in the market over the winter. Prices have declined by 50 percent in Glendale and Peoria since the 2006 peak and the declines are over 40 percent in Mesa. Tempe has now replaced Scottsdale / Paradise Valley with the smallest total decline at just over 27 percent. TABLE 3 ANNUAL, MONTHLY AND TOTAL DECLINES IN HOUSE PRICES BY CITY EARLY 1990s VS THE PRESENT CHANDLER GLENDALE MESA PEORIA SCOTTSDALE/ SUN CITY/ SUN TEMPE PARADISE CITY WEST VALLEY Feb. 2008- -25.8% -39.5 % -34.8 % -36.7 % -25.5% -18.4 % -16.1 % Feb. 2009. Feb. -2.4 % -5.5% -3.1% -4.9 % -3.3% -4.0 % -2.7% 2009 1989 1992-7.6-19.6-10.9-7.3-9.7-10.5-1.9 2006 2008-36.5-50.3-44.2-49.6-29.5-33.9-27.3 5

5 Figure 1 Trend, Actual and Preliminary Percent Change in Phoenix House Price uary 1990 - April 2009 3 1 1 3 Trend % Annual % 5 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 6

300 Figure 2 Median Trend, Actual and Projected Phoenix House Prices uary 1989 - April 2009 T 250 h o u s a 200 n d s o f 150 D o 100 l l a r s 50 Trend Actual and Projected 0 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 7

5 Figure 3 Metro Phoenix Repeat Sales Index (RSI) uary 1990 - February 2009 3 1-1 - -3 - -90-91 -92-93 -94-95 -96-97 -98-99 -00-01 -02-03 -04-05 -06-07 -08-09 8

5 Figure 4 Metro Phoenix Repeat Sales Index (RSI) uary 2004 - February 2009 3 1-1 - -3-9

6 Figure 5 Regional Repeat Sales Index (RSI) uary 1990 - February 2009 - Central Northeast Southeast - Northwest Southwest Metro Area -6-90 -91-92 -93-94 -95-96 -97-98 -99-00 -01-02 -03-04 -05-06 -07-08 -09 10

6 Figure 6 Regional Repeat Sales Index (RSI) uary 2004 - February 2009 - Central Northeast Southeast - Northwest Southwest Metro Area -6 11

6 Figure 7 Chandler, Mesa, & Tempe Repeat Sales Index (RSI) uary 1990 - February 2009 Chandler - Mesa Tempe Metro Area - -90-91 -92-93 -94-95 -96-97 -98-99 -00-01 -02-03 -04-05 -06-07 -08-09 12

6 Figure 8 Chandler, Mesa & Tempe Repeat Sales Index (RSI) uary 2004 - February 2009 Chandler - Mesa Tempe Metro Area - 13

6 Figure 9 Glendale, Peoria, & Sun City/Sun City West Repeat Sales Index (RSI) uary 1990 - February 2009 5 3 1-1 - -3 Glendale Peoria Sun City/Sun City West Metro Area - -5-90 -91-92 -93-94 -95-96 -97-98 -99-00 -01-02 -03-04 -05-06 -07-08 -09 14

6 Figure 10 Glendale, Peoria, & Sun City/Sun City West Repeat Sales Index (RSI) uary 2004 - February 2009 5 3 1-1 - -3 - Glendale Peoria Sun City/Sun City West Metro Area -5 15

5 Figure 11 Scottsdale/Paradise Valley, & Phoenix Repeat Sales Index (RSI) uary 1990 - February 2009 3 1-1 - -3 - Scottsdale/PV Metro Area Phoenix -5-90 -91-92 -93-94 -95-96 -97-98 -99-00 -01-02 -03-04 -05-06 -07-08 -09 16

6 Figure 12 Scottsdale/Paradise Valley, & Phoenix Repeat Sales Index (RSI) uary 2004 - February 2009 5 3 1-1 - -3 Scottsdale/PV Phoenix Metro Area - -5 17