Economists Expect 2nd-Quarter Recovery: Investigating the 1st-Quarter Weakness Theory
The main factor behind the latest slowdown: Sluggish consumer spending. Household outlays grew by the smallest amount since late 2009, as Americans reduced purchases of big-ticket items like cars and spent less on home heating during the warm winter. Rising inflation also cut into Americans’ paychecks.
The slowdown contrasted with surveys showing surging confidence among Americans and the booming stock market. And it offset other positive developments, including a pickup in business investment and a rise in U.S. exports.
Economic output often varies widely quarter to quarter, and most economists expect the economy to rebound to a rate of between 3% and 4% growth this spring. Indeed, the economy has a habit of starting the calendar year off sluggishly and strengthening later on.
Some economists point to possible flaws in the government’s methods for adjusting its data to account for seasonal factors. And temporary factors may have weighed on growth early this year, including unusually warm weather that led to lower utility use and a delay in households receiving tax refunds.
Seasonal Adjustments Wrong?
On July 29, 2016, Bloomberg reported First-Quarter U.S Growth Potholes Less Cavernous, Revisions Show.
Persistent first-quarter weakness in recent years had sparked a debate about these statistical quirks, prompting government agencies to revamp the process of smoothing discrepancies.
“We’ve made great progress on refining our seasonal-adjustment process,” Brian Moyer, director at the Commerce Department’s Bureau of Economic Analysis, told reporters in Washington this week.
Even with the tweaks, growth at the start of the each year remains weaker than in other quarters on average, suggesting some residual seasonality may remain. The BEA plans to fully incorporate fixes to the adjustment process by 2018.
The BEA was unable to say definitively whether the general improvement in first quarters was caused by the changes to the seasonal adjustment or reflected better source data that feed into the GDP calculations, Brent Moulton, associate director for national economic accounts at BEA, said at the press conference.
“It’s difficult to separate,” he said. For the entire period dating back to 2013, “these revisions are relatively modest.”
One cautionary note is that the new breakdown shows a more pronounced slowdown in the economy heading into 2016. The year-over-year growth rate cooled from 3.3 percent in last year’s first quarter to 1.9 percent in the final three months of 2015, rather than the previous downshift from 2.9 percent to 2 percent.
The pattern of upward revisions to first-quarter data was broken this year, with the growth rate in the first three months of 2016 revised down to 0.8 percent from a prior estimate of 1.1 percent.
Blame the Weather
The BEA has already made some seasonal adjustment modifications. Economists may be barking up the wrong tree.
When all else fails, economists can always rely on the old standby: Blame the weather. This year, the weather was apparently too warm. Economists are just now figuring that out.
December was a particularly cold month, causing a spike in electrical output. Economists did not realize December was cold until months later. Instead, they extrapolated December demand forward, resulting in spikes in first-quarter GDP estimates.
I discussed weather effects on January 24, in Formulas Don’t Think: Investigating Weather-Related GDP
The problem with unthinking formulas is they extrapolate going forward. December capacity utilization affected projections for the entire quarter going forward.
If we attribute at least some of the capacity utilization increase in December to unseasonably cold weather, then that portion and more will be taken back in January.
Other data can impact the results as well, but all things being equal, the New York Fed capacity utilization projection for 1st quarter GDP will be unwound.
The New York Fed never did unwind its forecast but the Atlanta Fed GDPNow model did.
On February 1, the GDPNow model peaked at 3.4% for its first-quarter GDP estimate.
On February 15, I commented Industrial Production “Unexpectedly” Declines Due to Weather: Economists Surprised Again, GDPNow Forecast Dives
Easy to Predict
This was too easy to predict. On January 18, 2017 I noted Industrial Production Jumps Due to Weather: Good News Stops There.
Due to the jump in December industrial production, The FRBNY upped its first-quarter GDP Nowcast estimate up from 2.1% to 2.7% on January 20.
April 7 Observation
On April 7, I made this observation: Economists never know what the weather “was” until economic reports come out!
- Economists expect better weather in the second quarter. Why? See points 2 and 3.
- Economists still believe consumer sentiment relates to consumer spending.
- Economists are among the most optimistic people on the planet.
It’s time to throw the consumer sentiment idea in the ash can where it belongs.
- March 21: Consumer Sentiment Statistical Noise: Modern Day Snake Oil
- March 28: Consumer Confidence Strongest Since December 2000: A Strong Contrarian Indicator?
- April 13:Econoday Parrot Squawks Again after Sentiment Rebounds to 17-Year High
Meanwhile, there’s no cause for alarm: Don’t Worry Weakness is Transitory: Fed Expects a Second Quarter Rebound, Higher Equity Prices.
Mike “Mish” Shedlock