Haver Analytics
Haver Analytics

Viewpoints: March 2024

  • State real GDP growth rates in 2023:4 ranged from Nevada’s 6.7% to Nebraska’s 0.2%. Growth tended to be weaker in the center of the nation, with agriculture being a major drag.

    The distribution of personal income growth was comparable to real GDP with Nevada again on top with a 6.7% growth rate, while Iowa and North Dakota tied for last with each having a growth rate of 0.8%. Over the last few years, the extension and withdrawal of federal transfers connected to the pandemic often grossly distorted movements in state personal income, and the ranking of states. This has become less evident in recent quarters, though the range of annual growth rates for transfers in 2023:4 did run from 8,1% in Mississippi to -5.0% in Arizona. The large drop in Arizona certainly had a visible effect on its overall income growth; Mississippi’s large gain was less meaningful, since other income components there also grew substantially.

  • The Federal Reserve Bank of Philadelphia’s state coincident indexes in January generally showed moderate, but generally unspectacular, increases. 9 states show declines from December, but none especially large. Massachusetts had a robust 1.1 percent increase. New York was the only other state with a gain as large as .5 percent. Over the 3 months ending in January, Montana was the only one to show a decline, while Massachusetts was up 2.4 percent---a fairly low reading to the leader—while Arizona and Nevada were the only other states with increase of 1 percent or more. Over the last 12 months Massachusetts was also on top, and, again, its 4.6 percent increase was unimpressive for number one. Montana was down a sharp 3 percent, and Maine and West Virginia were also down.

    The independently estimated national figures of growth over the last 3 months (.6 percent) a bit lower than the state estimates would have suggested, but the 12-month figure (2.6) percent) looks to be roughly in line with the state numbers.

    The state coincident index measures are primarily based on state payroll employment data, and calibrated to state real GDP estimates. This report is a bit of an odd duck—it’s for January, even though the February payroll numbers have been released—and Q4 state GDP numbers will soon be released. On April 3 the February estimates will be available.

  • State labor markets were at best mixed in February. Only four states had Eight states had statistically significant gains in payrolls (Illinois, Iowa, Michigan, and Texas—Iowa was the only one with an increase larger than ½ of one percent). The other states, and DC, had no signicant change, with numbers showing point declines.

    Three states had statistically significant increases in their unemployment rates in January, while three had significant declines. The largest move was an increase of .3 percentage point in Rhode Island. The highest unemployment rates were in California (5.3%), Nevada (5.2%) and DC (5.1%). No other states had unemployment rates of 4.9% (one point above the national rate) or higher. Maryland, Massachusetts, Minnesota, Nebraska, New Hampshire, North Dakota, South Dakota, Utah, Vermont, and Wyoming had rates of 2.9% or lower, with North Dakota at 2.0%.

    Puerto Rico’s unemployment rate remained at 5.7 percent, with the island’s job count little-changed.

  • In its January 31, 2024 FOMC statement, the Fed said: “In assessing the appropriate stance of monetary policy, the Committee will continue to monitor the implications of incoming information for the economic outlook.” The translation of this Fedspeak is that the Fed’s target level of the federal funds going forward would depend on the forthcoming data as they relate to the Fed’s dual mandates of promoting price stability and full employment. But what if the data upon which the Fed were depending to determine the level of the federal funds rate were undependable? In what follows, I will provide examples of “undependable” data and recommend a solution for how the Fed might conduct monetary policy in the face of undependable data.

    In the Bureau of Labor Statistics (BLS) February 2024 Employment Situation, it was reported that the level of January 2024 nonfarm business establishment payrolls was 157,533 thousand, revised down from its preliminary estimate of 157,700 thousand. Mind you, this is just the first revision of January 2024 nonfarm payrolls. When the BLS releases its March 2024 Employment Situation report, there will be a second revision to January 2024 nonfarm payrolls. And then in 2025, there will be annual “benchmark” revisions to 2024 nonfarm payrolls, including those of January 2024. The level of February 2024 nonfarm payrolls reported on March 8, 2024, 157,808 thousand, was said up 275 thousand compared to the first-revised January 2024 level of nonfarm payrolls. However, compared to the first-reported level of January 2024 nonfarm payrolls, the level of February 2024 nonfarm payrolls was up only 108 thousand. And, of course, in the next two 2024 BLS Employment Situation reports, the February 2024 level of nonfarm payrolls will be revised twice. Because of monthly and annual revisions, the monthly reports of nonfarm payrolls would seem to be undependable data upon which the Federal Reserve might use to determine monetary policy.

    On March 14, 2024, the Census Bureau reported that the level of February 2024 retail sales increased 0.6% compared to the revised level of January 2024 retail sales. However, the level of January 2024 had been revised down by $3,581 million or 0.5% from the originally-reported level. So, the level of February 2024 retail sales was up only 0.06%, not 0.6% from the originally-reported level of January 2024 retail sales. Based on revised data in the February 2024 retail sales report, in the three months ended January 2024, retail sales contracted at an annualized rate of 3.8%. Based on the data reported in the January 2024 retail sales report, in the three months ended January 2024, retail sales contracted at an annualized rate of only 1.8%, less than half the rate of contraction exhibited by the data revised in the February 2024 retail sales report. Again, monthly revisions to retail sales data would suggest that these data are undependable for the purposes of guiding monetary policy.

    The next problematic economic report I will discuss is the Consumer Price Index (CPI), more specifically, the Owners’ Equivalent Rent (OER) component of the CPI. At 26.7% of the CPI, OER has the “heaviest” weight in the CPI. That OER has such a high weight in the CPI is understandable given that the US homeownership rate is about 66%. My quarrel is not with the weight of OER but how it is estimated. From what I have read about this estimation process is that a sample of homeowners are asked by the BLS what the respondents think their detached dwelling/condo/townhouse would rent for. How many homeowners, especially owners of detached houses, have a reasonably accurate estimate of what their abode would rent for?

    OER was reported to have increased month-to-month annualized 6.94% in January 2024 compared to a 5.22% annualized increase in December 2023. The CPI excluding OER monthly increase was 2.66% annualized in January 2024 compared to 2.03% in December 2023. The month-to-month annualized change in the CPI-All Items was 3.73% in January 2024 compared to 2.83% in December 2023. The BLS received queries as to why there was such a relatively large percent increase in the January 2024 OER compared to December 2023. On February 29, 2024, the BLS issued a statement saying that there are now annual updates effective in January of a year in the weighting of the OER in terms of owner-occupied detached dwellings versus condos/townhouses. The BLS said that “[i]n January 2024, the proportion of OER weighted toward single-family-detached homes increased by approximately 5 percentage points.” My point, again, is not that OER is unimportant, but that its measurement is, for lack of a better term, “flaky”. Given the difficulty in accurately measuring OER, the European Union excludes OER from its calculation of EU consumer price inflation. Plotted in Chart 1 are the year-over-year percent changes in the All-Items CPI (the blue bars) and the CPI excluding OER (the red line). The year-over-year change in the CPI excluding OER in February 2024 was 2.27%, close enough to 2% for Federal Reserve work.

  • In February, total consumer prices and prices, excluding food and energy, rose 0.4%, resulting in the last twelve-month increases of 3.2% and 3.8%, respectively. The consumer price report is the sole direct measure of retail inflation, capturing what people buy for consumption.

    However, the Fed favors the PCE deflator, which is not a direct measure but rather a blend of CPI prices with administered prices (Medicare and Medicaid). This preference is based on the belief that the PCE captures what people purchase in real time, reflecting the substitution effect of price change.

    But this claim is misleading. Detailed spending data, crucial for accurate measurement, is unavailable in real-time. The choice of the PCE over the CPI for inflation measurement is driven by political considerations, as it tends to produce a lower rate.

    The Bureau of Economic Analysis (BEA), the government agency responsible for estimating and publishing the PCE deflator, faces significant challenges in data collection for various product categories. For instance, while BEA has a small set of product details updated monthly, such as motor vehicles, prescription drugs, gasoline, and tobacco, other categories suffer from a considerable lag.

    For instance, food store sales are supplemented with annual scanner data, resulting in a one-year lag. Similarly, the yearly e-commerce survey report provides additional product details with a one-year lag.

    Detailed consumer expenditures for services are also unavailable when the PCE deflator for a given month is estimated and released. The Census's Quarterly Survey of Services (QSS) is released three months after a quarter ends. However, the QSS provides aggregate spending figures for various service industries and offers few details of how much of it is household spending.

    Without detailed data, the BEA is forced to rely on imperfect product-to-industry ratios, often based on data from the several-year-old 2017 Economic Census, to estimate household product and service spending. This reliance on outdated data is a significant drawback, as it uses spending patterns from years past to explain how current price inflation impacts people's spending decisions. This practice undermines the accuracy and relevance of the PCE deflator, raising concerns about its effectiveness as a current measure of inflation.

    The CPI has been criticized for what it is and isn't (See a recent article by Larry Summers on CPI missing financing costs for consumption). The same should apply to the PCE deflator. The PCE is not what people think it is. Choosing the PCE over the CPI is a convenient way for policymakers to argue that they are close to or hitting their target, even when the only direct measure of consumer price inflation (CPI) runs much higher.

  • State labor markets were generally mixed to improved in January. Eight states had statistically significant gains in payrolls. New York led in absolute numbers (59,300) and percentage (.6) terms, while three of its neighbors (Massachusetts, New Jersey, and Vermont). Only a small handful report point declines, none statistically significant.

    4 states had statistically significant increases in their unemployment rates in January, while 2 had significant declines. None of these movements were larger than .2 percentage point. The highest unemployment rates were in Nevada (5.3%), California (5.2%) and DC (5.0%). Illinois and New Jersey were also more than a point higher than the nation’s 3.7 percent. Alabama, Maryland, Minnesota, Nebraska, New Hampshire, North Dakota, South Dakota, and Vermont had rates of 2.7 percent or lower, with North Dakota at 1.9 percent.

    Puerto Rico’s unemployment rate remained at 5.7 percent, while the island’s payrolls rose 6,000—likely a statistically significant increase.

  • China’s National Peoples’ Congress (NPC) meeting kicked off today with Premier Li’s announcing its first Government Work Report. It’s definitely an interesting day for all China watchers and investors, as we are all looking for clues in China’s upcoming plans to prop up an economy that is grappling with deflation, a property market slump, heightened debt levels and low level of foreign direct investment. Before the meeting, many market participants are looking for bazooka-style stimulus or long-term structural reforms, however, the annual NPC is not really a platform for these policy announcements. Instead, we get a flurry of economic and budget targets, and a to-do-list for this coming year. In a nutshell, there is nothing juicy or new in this government report – with a couple of exceptions – it appears that China is still using old tools to fix the current economic problems.

    Let’s start with the targets, a couple of highlights. The 5% GDP growth target was in line with market expectations, and consistent with early growth targets released by the local governments. In my view, it is an aggressive target to achieve compared with last year’s, because 2023 growth target benefits from the low base in the year before when the economy was mired in zero Covid policy. By contrast, the base effects this year is unfavourable. Also, it is more difficult to hit target this year without any forms of fiscal and monetary support, given the deepening property market slump and lingering local government debt problems. The Chinese government realised the hurdles and hinted at further targeted stimulus, as Premier Li said in his speech “It is not easy for us to realise these targets. We need policy support and joint efforts from all fronts.”

    Interestingly, the unusual issuance of RMB 1tn central government bonds is a nice addition to the fiscal impulse from the local government special bonds quotas of RMB 3.9tn for 2024. This is the fourth time in the last 26 years to issue such sovereign bonds, the last couple of times it happened was in 2020 and 2023, to fund Covid-related expenses and post-disastrous reconstruction in north-eastern China after a major flood. We expected the central government to share the credit burden with the local governments going forward, because the hands of provincial authorities are tied. Local governments get a significant share of income from land sales to developers, but this is getting difficult on the back of tumbling demand for housing. Therefore, it makes sense for the central government to step in and allocate resources back to provinces, probably on more favourable debt servicing terms given its higher credibility and lower indebtedness.

    Property sector, which accounts for over 25% of the economy, saw no new concrete measures mentioned in this report. The NDRC did say they will try to address the root causes of the property malaise and mounting debt problems, but they stop short of spelling out what the solutions are. The crux of the property problem remains low level of confidence of prospective homebuyers, leading to a collapsed in demand for off-plan new housing. Homebuyers would rather sit on the sideline, worrying that troubled developers will not have sufficient funding to complete the projects. This in turn reduces the cashflow of property developers, including heathier ones. And the negative feedback loop repeats itself.

    But note a glimmer of hope that President Xi’s property slogan “housing is for living in, not speculation” is omitted in the policy wordings this time, suggesting that authorities are more determined to prop up the property market. Before this, mixed signals were sent to the market when property measures were relaxed, reducing the efficacy of the stimulus.

    Thus far, the government implemented a slew of measures to support the ailing real estate market, such as slashing the 5-year LPR, increasing the PSL funding, lowering the LTV requirements for first-time buyers and buy-to-let investors, also encouraging banks to lend more to white-listed property projects selected by local governments. Unfortunately, none of them had material impact on lifting sentiment or breaking the negative feedback loop. Rather, we continue to hear news in recent weeks about investors filing a lawsuit against Country Garden and Vanke delaying its debt repayments, further denting buyers’ confidence.

    In all, this is a fiscally expansionary budget, and it should cushion the economy currently in deflationary mode. The 5% growth target is only achievable with a strong dose of stimulus, so expect more targeting measures to be deployed. The Chinese authorities are still aiming for quality development over sheer growth, but structural changes for “new productive forces” and consumption to take hold won’t happen overnight, more stimulus measures are therefore needed in the interim period. But the lack of creative policymaking in Zhongnanhai to bridge this gap suggests that China may still be using old tools for new problems. We are not looking for sizable credit-fuelled stimulus in the past which would normally result in unproductive capacity, but timely and well-packaged policies that can address deficiency more quickly and broadly would vastly improve the recovery experience.