Seattle Bubble

News & discussion about real estate & the housing bubble in the Seattle area.

Seattle Bubble - News & discussion about real estate & the housing bubble in the Seattle area.

What does Personal Income tell us about near future home prices?

By deejayoh on June 1st, 2009 at 9:00 AM · 72 Comments

There have been a couple of discussions in the comments section in the last week or so about the relationship between home prices and incomes.   I thought it would be  a good time to queue up a post about the long-term price-to-income trends, where we are now, and what the possible outcomes could be.

The analysis in this post are all based on annual data for King County for the period from 1969-2008 – a period that covers five recessions.  For home prices, I used the King County MLS median price for SFH, pulled from The Tim’s long-run home price chart.  Tim’s data in this series shows home values in April and October of each year.  I used the October data.  For income, I pulled the data for King County Personal income per capita (PCI) from www.bea.gov.  This time series runs from 1969-2007.  In order to estimate PCI for 2008, I grossed up the 2007 figure by 1%, which was the estimate of Median HHI income growth for King County by the Washington Office of Financial Management (OFM).

[Note from The Tim: For a more granular look at the short-term price-to-income trend since 1990, hit this post.]

The first analysis is a simple line chart showing the historical ratio of home prices to income.   Here we can see that, up until the turn of the century, home prices bounced around in a fairly narrow range when expressed as a multiple of incomes.  The multiple is closer to 4x in times of economic duress (e.g. the oil crisis and mid-eighties recession) and rises up closer to 6x in better times.  But the average multiple of home prices to incomes between 1969 and 2000 was almost exactly 5x.  Then, as lending rules are eased in 2001 -  we see the multiple grow steadily until it peaks over 8x in 2006, before falling back to 7.1x as of October 2008.

King County, 1969-2008

Based on this chart it is pretty clear to me that claims that home prices falling to their “normal state” of 3x income are best discussed on Snopes.com.  There is no historical precedent for the median price for homes in the Seattle area being that low relative to income in most of our lifetimes – and even if it has fallen to that level at some point in the past, I doubt home prices have averaged 3x income for any extended period of time.  Based on the last ~40 years the “bottom” for home prices based on the income multiple appears to be about 4x incomes.

The second analysis uses the same data, but presents the results as a scatterplot.  Here we can see even more clearly the impact of the changes in lending standards in 2001.   From 1969 to 2000, the relationship between home prices and incomes (shown in blue) follows an almost linear path.  The r-square between these two time series is over 97%.  Using a “best fit” line shows that the best predictor for home prices as a multiple of incomes during this time period is 5.35x – slightly higher than the mathematical average from the analysis above – but probably a slightly better estimate of the long run trended value.

Home prices vs. Income Growth

The red points clearly show home prices diverging from the long-run trend line in 2001, and moving back toward it beginning in 2007.  I think this is the starkest evidence I have seen showing how the “fundamentals” of income as a driver of home values disappeared in the boom.  After tracking income for 30+ years, home prices set off on their own path just as new financing vehicles and standards were introduced to the market.

This chart also casts doubt on that the claim that the boom “started late” in Seattle.  You can clearly see that home prices were shooting up relative to incomes in 2001 and 2002, before leveling off slightly in 2003.  The perception that we were not “booming” was probably due to  income growth being depressed by the end of the dot com boom and the stock market crash – but the ratio of home prices to incomes was steadily increasing.

I also ran an analysis comparing the annual change in home prices to the annual change in incomes.  This is a “purer” analysis because with two trended series (e.g. home prices and incomes) a large portion of the explanatory value is the result of autocorrelation.  I haven’t clipped the graph in here, but the r-square for this analysis was 0.3 – which is pretty high for a single variable regression using two fairly noisy series.  It was enough to satisfy my curiosity, as I am entirely comfortable with the premise the primary driver of  home prices is income levels, all other things being equal (e.g. financing terms, relative supply)

Based on this comparison, my observations are as follows:

  • This is evidence to me that we are clearly still far from the bottom.  Depending on your viewpoint, prices should fall back at least to the long-run income multiple (I’ll use 5.35x) and could drop as low as 4x.  Based on this data series, I see no precedent for a lower multiple.
  • King County PCI for 2008 should be about $55k, and given the state of the economy it will probably stay about the same in  2009 .  Applying those income multiples would indicate the King County median would  “bottom”  somewhere between $220k and $295k.
  • The April median for King County SFH was $380k, indicating a possibility of 22-42% of additional downside risk

For home prices to fall much further than this (e.g. the super-bear’s $100k prediction), it seems to me that one or more of the following things would have to be true:

  1. Home price/income multiples would have to diverge greatly from 30+ years of historical precedence
  2. Incomes would have to fall dramatically
  3. Lending standards would have to be tightened dramatically from their pre-bubble standards.  (A simple increase in rates should not be a unique condition, as the period of this analysis includes the double digit rates in the early ’80s)
  4. Some other extraordinary event would have to take place such as a change in the tax treatment of real estate.

Note that I am not saying any of these things won’t happen. But it does seem to me that conditions would have to change quite dramatically to result in that extreme of a drop in values.  As of today, it appears incomes are relatively stable, lending standards have (for the most part) returned to pre-bubble conditions, and home prices are trending back to the long run income multiple.

My caveat: This analysis is not intended to be predictive.  It is intended as additional information from which you, the reader can generate your own opinions about where the housing market is going and make an informed decision on a housing purchase during a period of great uncertainty.  Hopefully it will generate good discussion in the comments section.

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Update: Boom and Bust Cycles Across Markets

By deejayoh on November 20th, 2008 at 9:28 AM · 15 Comments

Back in July I posted a comparison of the total percentage gain during the boom years to the total percentage drop from peak to date across a bunch of markets, to see if I could establish a clear relationship or correlation between the two. I wanted to give a quick update on this analysis.

As a reminder, I based the gain/loss percentages on Case-Shiller data for May and August; and for the purposes of this comparison, I used the following definitions:

  • “Boom” returns are the total appreciation between 09/2001 (based on the oft cited relationship between the Fed taking down short term lending rates and the housing boom) and the peak for each market.
  • “Bust” returns are the total decline from peak to the latest reported numbers.

Boom vs. Bust update August 2008

Couple of things I noticed in this updated version of the analysis:

  • Overall, the slope of the line got steeper – meaning that the ratio of “bust” to “boom” increased. Based on what we are seeing in the super-bubbly markets (SF, San Diego, Phx, LA, Miami) I would expect this phenomenon will continue.
  • The “fit” of the line also got better – meaning markets generally moved closer to the line
  • Of the markets identified as “outliers” in the earlier analysis (Seattle, Portland, New York, Detroit), all but Detroit moved in the direction expected.

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Comparing the US and Japanese Housing Bubbles

By deejayoh on November 3rd, 2008 at 11:16 AM · 33 Comments

I have been looking for a graphic that accurately compared the Japanese and US housing bubbles for some time.  Usually when you see this sort of thing, it compares US housing prices to Japanese land prices – as shown below in a chart clipped from the Economist.

Comparison of US housing and Japanese land prices. Source: The Economist
Comparison of US housing and Japanese land prices. Source: The Economist

Thanks to Jonness for posting a chart that showed Japanese housing prices, I was able to create a comparative view of the Japanese and US housing bubbles, zero-based to 1984 and 2000, respectively.

US and Japan housing bubbles

I thought the two cycles seem remarkably similar in terms of the duration of the boom and the symmetry of the up/down sides.  As to whether or not the US bubble will unwind over a long and painful period like Japan’s, I’m going to leave that to the commentors.

Update: There have been a couple of comments asking about the impact of inflation on the two markets. I did some quick digging around on Econstats and came up with historical CPI figures for the US and Japan. At eight years into the comparative bubble periods, inflation in the US is running about 10 points ahead of Japan, with an index value of 124.6 vs Japan’s 114.6.

Inflation in US and Japan

As you can see below, this results in a less pronounced “bubble” in the US relative to Japan, and the national level indices track each other almost perfectly

US and Japan housing bubbles (inflation-adjusted)

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Falling from the outside in

By deejayoh on August 12th, 2008 at 12:06 PM · 24 Comments

One of the topics discussed frequently on this blog is the notion that prices in the suburbs are likely to fall much further and faster than prices in the urban core of Seattle. Yesterday Zillow posted their quarterly market update data. Taken from Zillow's Market Reports, August 2008I will say that while I’m ambivalent about Zillow’s “Z-estimate” feature, which attempts to predict home values – I find that as source of historical data on market trends at the neighborhood level, the site is an invaluable resource. The mapping feature on the site for the report (which uses this historical data) gives a really nice visual confirmation of the notion of prices falling in commuter zones first.

I pulled this snapshot off the site at a 15 mile granularity. It is almost as if you could draw rings around Seattle and predict the rate of the decline in home prices. No real news here, but I thought it was an interesting visual confirmation of an often discussed concept.

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Comparing Boom and Bust Cycles Across Markets

By deejayoh on July 31st, 2008 at 11:38 AM · 56 Comments

The point has been made many times here that exposure to downturns needs to be viewed in the context of how much a market rose during the boom.  I thought it would be interesting to test this by comparing the total percentage gain during the boom years to the total percentage drop from peak to date across a bunch of markets, to see if I could establish a clear relationship or correlation between the two.

For the purposes of this comparison, I used the following definitions:

  • “Boom” returns are the total appreciation between 09/2001 (based on the oft cited relationship between the Fed taking down short term lending rates and the housing boom) and the peak for each market.
  • “Bust” returns are the total decline from peak to the latest reported numbers.

I used the Case-Shiller report for May as the source of all the numbers. The results are kind of interesting:

Boom and Bust Cycles
Click to enlarge

This snapshot does appear to support the assertion that there is a good correlation between boom and busts cycles across markets -and that generally speaking,  the more you go up, the more you go down. But there appear to be outliers versus the trend: Namely, Detroit on the down side, and Seattle, Portland, Charlotte, and possibly New York on the up side. This is interesting to me because the relationship between up and down markets is usually cited as evidence that the Seattle market will remain relatively stable compared to other markets – when according to this view, we appear to be bucking the trend and perhaps poised for a fall.  We are down 7% to date when the trend line suggests we should be off 15-20%

What does it mean?  Who knows. There isn’t any hard and fast rule that says every market must follow all other markets, but the inverse relationship between booms and busts does appear to be pretty strong. And it certainly is the case that Seattle has not seen as much “bust” as would be expected when compared to all other markets.

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A surge in “pent-up supply”?

By deejayoh on July 30th, 2008 at 4:59 PM · 31 Comments

I have a couple of RSS feeds from real estate sites that I use to monitor listings that might be of interest to me.  They are targeted at a couple of neighborhoods, and focused on homes that are likely to be mid-century modern.  Over the past couple of weeks, I had noted that the volume of new listings had really dropped off.  I mean, there was almost no activity. I attributed it to the market slowing down – figured it was just a late summer phenomenon.

Then I checked them this morning, and was surprised to find five or six new listings on each.  What was going on?  So I headed over to Redfin to check to see what Seattle had in the way of new listings overall (side note:  what did we ever do before Redfin!?).  What I found there was pretty interesting:

  • There were 108 new listings in Seattle yesterday, versus 123 in the last three days and 350 in the last week.  The rate of new listings was double the average of the last three, seven, or fourteen day period!

Seattle Surge

  • I figured this might be some sort of statistical anomaly – so I checked Bellevue too.  It looks almost exactly the same:

Bellevue Surge

Checked Tacoma too. Same story:

Tacoma Surge

I’m not sure what might be going on.  I thought that listings were more likely to come on to market early in the month, not late in the month – but they seem to have exploded on the last day of the month.  I see three possible explanations:

  1. It’s normal.  The drop off just reflects the fact that homes sold.  (I don’t personally think this makes sense.  Homes aren’t selling all that quickly, and I don’t think it would explain the big difference between the one and 3 day average)
  2. There was some sort of glitch in the feed from NWMLS and new listings didn’t get posted for a couple days
  3. What I initially surmised:  that sellers had been waiting to see what happened with the Housing Recovery Bill and decided that since it was signed,  it was a great time to jump back into the market.

What say ye?  Any other perspectives?

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