Jason Furman Profile picture
Dec 1, 2022 8 tweets 3 min read Read on X
Wow: the October personal saving rate was the second lowest ever recorded (data goes back to 1959).

The two-month moving average was actually the lowest ever recorded and the three-month moving average was the third lowest. Image
The low and fall saving rate is supporting a huge divergence between stagnant real incomes and steadily rising consumption.

Relative to CBO's pre-pandemic forecast* real per capita:

Disposable personal income: -5%
Personal consumption expenditures: +2.5% Image
*CBO does not forecast these exact variables but has ones that are close (e.g., personal income instead of disposable personal income). I think my versions of their forecast are reasonably robust--you can see the levels and approximate CBO forecasts here. ImageImage
The personal saving rate is typically about 7.5%.

During the pandemic it was above 10% for the 15 straights months--with the entire period accumulating $2.2T in excess savings.

It has been below average for 13 straight months, $800b in excess dissavings. Image
You can also think about this as the lagged impact of fiscal policy and pandemic-reduced consumption. The initial fiscal multipliers were relatively low as people saved money. But fiscal policy has long and variable lags and it is supporting consumption (and inflation) now.
This story is likely disproportionately about higher income households (but we can't be sure because BEA does not produce real-time distributional data).

One hint is that real compensation per capita, which matters more for middle-class households, is only slightly below trend. Image
Overall this is consistent with the excess saving story (the household budget constraint being expanded) & the pent up demand story (the marginal utility of spending being expanded as the pandemic eased).

Also of fiscal policy mattering--could debate if for better or worse.
Will we have a Wile E Coyote moment when consumers realize there is nothing below them and consumption plummets? Could happen--although these data plus more direct indicators of household balance sheets and financial distress suggest that moment could be 6-12 months away.

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More from @jasonfurman

Jan 15
Inflation came in below expectations but still a touch on the high side.

Core CPI annual rate:
1 month: 2.7%
3 months: 3.3%
6 months: 3.2%
12 months: 3.2% Image
Shelter inflation was moderate and the three month moving average continues to basically trend down, albeit slowly. Image
But you can't just assume elevated items like shelter will get better but that everything opposite won't get worse.

And that's what we've (predictably and predicted) seen: goods inflation was negative for a while but turned positive for 4 straight months. Offset shelter cooling. Image
Read 8 tweets
Jan 9
Tariffs & exchange rates. A short explainer of the simple case of 10% across-the-board tariffs. Let's start with no retaliation.

Brief version: Tariffs will strengthen the U.S. dollar which will reduce impact on consumers but exacerbate it for exporters.

Three cases:
1. No exchange rate effect. In this case imports are 10% more expensive for consumers. Exports are the same (because the exchange rate did not change) and the trade deficit shrinks. The entire tariff is paid by Americans.
2. USD appreciates by X% where 0 < X < 10%. Imports are 10% - X more expensive & consumers cut back on imports. But the xr appreciation also makes it more expensive for foreigners to buy exports so exports fall. Trade deficit effect is ambiguous & foreigners pay part of tariffs.
Read 10 tweets
Jan 7
Labor market tightness has stabilized over the last several months after a loosening steadily through the summer. Job openings were up and quits down. My favorite metric, job openings per unemployed, was stable. Image
Here are openings and quits. They've been telling a somewhat contradictory story in recent months as openings are up and quits are down. Image
The economy remains on the Beveridge curve--admittedly the tight part of it. Image
Read 5 tweets
Dec 11, 2024
Inflation came in a touch above expected, with core CPI at an annual rate:

1 month: 3.8%
3 months: 3.7%
6 months: 2.9%
12 months: 3.3%

The last mile is proving very, very stubborn. Image
Here are the full set of numbers. Image
Broadly speaking what has happened is core services inflation as only slowed a little (less than people were hoping on lagged shelter) while goods prices have started rising--with unusually large auto price increases in November that could still be hurricane-related. Image
Read 9 tweets
Nov 11, 2024
I believe it is useful to make small contributions to big things (many engaged in doing that now) & also bigger contributions to small things.

On the later, in @BostonGlobe I argue for zoning reform to enable Cambridge to help build more than 1,000 additional housing units.

A🧵 Image
States and localities can resist the likely regressive thrust of federal policymaking while doing what they can to build a more progressive, inclusive and upwardly mobile society.

To do that we need cheaper housing.

And to do that we need more housing.
VP Harris was right to set a goal of building 3 million housing units. On a proportional basis that would require 1,050 from Cambridge. Unfortunately on current course we'll get 100. But with reforms proposed by the City Council that could be raised to more than 1,000.
Read 10 tweets
Nov 7, 2024
I know many skeptics of prediction markets. I don't have an ideological faith in them (OK, maybe quasi ideological). But the empirical evidence is they have worked really, really, really well. And did again on Tuesday night.

A short 🧵 about this remarkable picture. Image
Markets gave Trump a 60% chance. How does that prove they know what they're doing? If Harris won could say, "but she had a 40% chance" so wasn't wrong.

That's correct. Can only judge when you've seen them many, many times. Do 60% chance things happen 60% of the time?
In Ec10 we should them 15 million data points from sports betting from @andrewlilley_au comparing the prediction market probability to the outcomes.

And guess what: if you collect 100 markets with a 6% chance of a team winning and look at the results you'll see them win 6 times. Image
Read 7 tweets

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