Haver’s data services are provided through the DLX platform; delivering tools for data management, visualization, modeling and publishing. DLX is designed to increase productivity and integrates with Excel, PowerPoint, and major statistical software packages; MatLab, R, Python, SAS, E-views and Stata. DLX component application DLXVG3 offers precision graphics, publishing, analytic tools, and easy navigation for all Haver databases.

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Chart and compare multiple data series with accompanying data table of values

Advanced functions (growth rates, moving averages, aggregation, seasonal adjustment)

Analytical tools (cycle charts, scatterplots, trend lines, and recession shading)

Complete graph customization (axis scaling, sizing, formatting, styles)

Excel and PowerPoint direct export and complete integration (dynamic spreadsheets and presentations update on a click)

DLXVG3

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DLX Add-ins for all versions of Excel provide instant data updates of entire workbooks

Use DLXVG3 to locate data series codes from within any file, easily creating new spreadsheets for analysis

Edit date ranges, archive data, apply functions

Excel Spreadsheet Add-ins

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Haver offers timely, accurate, and professionally supported data via an update service, meeting the strictest demands of the institutional research community

AutoUpdate provides fast and reliable data updates within seconds of source releases

Timer service runs continuously on an hourly basis when DLX is running

Manual updates offer clients the independence to update data retrievals on any desired schedule

All database updates retrieve only the data series that have changed and send only the data points that have been updated; including revisions

Timely Updates

DLX software tools to convert data into many different formats needed for diverse analytical frameworks

Haver supports a DLX API permitting clients to leverage and build processes with DLX data

Database Compatibility

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Data Link Express

Platform Independent site delivering DLX Databases across any workstation or device.

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HaverView

[Matlab](http://matlab.com) by The MathWorks lets you access, visualize, and analyze historic time-series data to identify patterns or uncover complex relationships. From within a single environment you can:

- Access data from multiple sources including files, spreadsheets, databases, data providers, and the Web
- Store data in financial time-series objects to simplify data management, data transformation, missing-data handling, and date-math calculations
- Perform technical analysis with moving averages, oscillators, stochastics, and indices
- Create custom analysis routines and visualizations or animations to capture, present, and share your analysis processes and discoveries
- Customize your analysis environment with advanced functionality from signal processing, statistics, or econometrics

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MATLAB

[Stata Data Analysis and Statistical Software](https://www.stata.com) by StataCorp LP is an integrated statistical package designed for researchers of all disciplines. It provides the ability to do data analysis, data management and graphics and has features such as multiple imputation, factor variables, GMM, competing-risks regression, state-space modeling, predictive margins, and more.

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Stata

[SAS](https://www.sas.com) provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From predictive analytics to model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.

[SASEHAVR](http://support.sas.com/documentation/cdl/en/etsug/67525/HTML/default/viewer.htm#etsug_sasehavr_gettingstarted01.htm) is a seamless interface between Haver and SAS data processing that enables SAS users to read economic and financial time series data that reside in a Haver Analytics DLX (Data Link Express) database. [SASEHAVR](http://support.sas.com/documentation/cdl/en/etsug/67525/HTML/default/viewer.htm#etsug_sasehavr_gettingstarted01.htm) requires both SAS/ETS and Base SAS Software.

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[RATS (Regression Analysis of Time Series) Econometric Software](https://estima.com) by Estima is a leading econometrics and time-series analysis software package. It provides ability to do linear and non-linear least squares, forecasting, SUR and ARIMA models and in addition, supports advanced techniques such as GMM, ARCH and GARCH models, state space models, and more.

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RATS

Session 1: Bootcamp Part 1

Visualization with GGPlot2 and data analysis

Session 2: Bootcamp Part 2

Session 3: Univariate Models Part 1

Session 4: Univariate Models Part 2

Session 5: Vector Autoregressions

Session 6: Cointegration and error-correction models

A popular open source option for statistical computing and graphics that is available on many UNIX platforms, Windows and MacOS

Estimating, evaluating, and forecasting ARIMA models

Understanding the concept of non-stationarity and testing for unit roots

Estimating autoregressions, granger causality tests, and impulse response functions

Understanding the concept of cointegration and testing using the Enger-Granger test

Estimating and forecasting with vector error correction models

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Teaches econometrics and forecasting at the University of Colorado Denver. He has over 15 years of econometric experience in both the private and public sector.

Daniel L. Jerrett, Ph.D.

Abdel M. Zellou, Ph.D.

Bootcamp and Econometric Tools 1 & 2

Econometrics Training: Applied Time Series in R

Session 5: Multivariate Models Part 1

Session 6: Multivariate Models Part 2

Haver partners with SmartMacro Labs to offer a two week immersive online course introducing participants to the power of the Python programming language. This applied hands-on training develops statistical economics skills with a concentration on economics and finance.

Gain proficiency in building modern time-series models in Python through real-world applications. Designed for professionals in both the public and private sector, the course does not require prior experience, assuming only that participants have a basic understanding of regression and statistical concepts.

Proficiency working in Jupyter notebooks and the Python environment

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Remote Training: Applied Time Series in Python

AI-related outperformance of IP in Advanced Asia ex Japan

Michael J. Moran

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The consumer price index rose 0.2% in January, slower than the expected increase of 0.3% (and it rounded up to reach the published advance – 0.17% when calculated with more precision; annual rate of 2.04%). The latest monthly increase left the year-over-year at 2.4%, down from a recent high of 3.0% in September and bested by only one other recent reading: 2.3% in April of last year.

A drop of 1.5% in energy prices helped to contain the headline index. The drop was led by sharp retreats in the prices of both fuel oil and gasoline (off 5.7% and 3.2%, respectively). Energy prices have jumped around from month-to-month, but they have stayed within a narrow range in the past two years. Food prices rose 0.2% in January after a surge of 0.7% in the prior month. The food category experienced severe pressure during the inflation burst in 2022 (peak of 11.4%). Pressure settled in 2024, with annual food inflation easing to a low of 2.0% in August of that year. However, prices picked up again in 2025, with the year-over-year increase moving to 3.2% in August and staying close to that pace in subsequent months. The year-over-year increase in January totaled 2.9%.

The core component (ex food and energy) rose 0.3% in January, one of the sharpest advances of the past year or so. However, the increase was not especially troubling, as it was influenced by a jump of 6.5% in airfares, which added nearly a full tenth percentage point to the core component (0.08%). Airfares often move erratically, and the ups and downs in the past few years have left little net change. Discounting, most likely, will unfold in coming months. Even with the jump in airfares, the year-over-year increase in core prices moved to a new low for the current period of deceleration (2.5%). Core inflation appeared to be picking up in the spring and summer of last year (a recent peak of 3.1% in August), but pressure has eased since then.

The source of the waxing and waning in core prices lies primarily in the goods component of the CPI. Goods prices were declining noticeably in the first half of 2024 (deflation!), but, they began to shift direction in the second half of 2024 and moved to price increases in 2025. The upward trend seems to have peaked at 1.5% in September and October, with the year-over-year change easing to 1.1 percent in January. Service prices have been decelerating over the past few years, but the rate of decline began to slow last year, and the latest months have shown no further improvement, stuck at 3.0% in the past three months.

Within the core component, the movement of housing costs is notable. Rental rates rose 0.2% in January, a marked shift from the experience in 2022 and 2023, when increases in excess of 0.6% were common.  This component jumps around from month-to-month, but the downtrend is unmistakable. After peaking at 8.2% in 2022, the latest year-over-increase totaled 3.0% in January.

The cost of electricity is now gathering the attention of the public and politicians because of the pressure being exerted by the infrastructure requirements of artificial-intelligence. Costs were tame in January (down 0.1%), but increases have largely been the norm in the past year or so. The year-over-year increase totaled 6.3% in January, down from 7.0% in November but still a challenge for many households. Many observers are expecting more upward pressure down the road. Some observers perhaps recall (and fear) the experience in 2022, when electricity inflation touched 15.8%.

The Consumer Price figures can be found in Haver's **USECON** database. The expectations figure is contained in the **AS1REPNA** database.

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- The year-over-year change in the headline index moved to the bottom of its recent range.
- The annual change in the core index moved to a new low for the current cycle.

Consumer Price Index: Slow, but Steady, Deceleration

Andrew Cates

**The Blue Chip Growth Consensus**
The first chart this week highlights a striking feature of recent forecast revisions: the outperformance of Asia, and Taiwan in particular. Over the past six months, Blue Chip panelists have upgraded their 2026 GDP growth forecasts most aggressively for Taiwan, far outpacing revisions elsewhere. This reflects the central role Taiwan plays in the global AI supply chain, especially in advanced semiconductors, where demand linked to data centres, AI accelerators and high-performance computing continues to strengthen. More broadly, positive revisions across parts of Asia suggest that the current AI-driven investment cycle is not just a US story, but one that is increasingly feeding through global tech supply chains, boosting exports, industrial production and capital spending across the region. In contrast, forecast changes elsewhere remain far more muted, underscoring how tightly the near-term growth impulse from AI is concentrated in economies most directly exposed to the semiconductor and hardware build-out.

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**The Blue Chip Inflation Consensus**
The second chart highlights a growing theme of cross-country divergence, this time through the lens of inflation and monetary policy. Recent changes to Blue Chip CPI forecasts for 2026 show upward revisions in economies such as Japan, Australia and Canada, where inflation pressures are proving more persistent and policy tightening is either already under way or increasingly expected. In contrast, inflation forecasts in the US have been revised lower, consistent with softer recent data and reinforcing expectations of further monetary easing. The result is an increasingly asymmetric global policy backdrop: some central banks are still leaning against residual inflation risks, while others are preparing to shift toward rate cuts. This divergence, moreover, could matter more for global capital flows, exchange rates and financial conditions in the period ahead.

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**South Korea’s Semiconductor Trade**
The third chart provides a concrete, high-frequency illustration of the forces underpinning the forecast upgrades seen earlier for Asia. South Korea’s semiconductor exports have surged sharply on a year-on-year basis, marking one of the strongest upswings of the past decade and underscoring the revival of the global tech cycle. This acceleration is closely linked to AI-related demand, particularly for advanced memory chips used in data centres and high-performance computing. Alongside Taiwan, South Korea sits at the core of the AI hardware supply chain, and the strength of semiconductor exports helps explain why growth expectations in parts of Asia have been revised higher so decisively. In this sense, the chart offers a real-economy counterpart to the consensus forecast revisions: the AI boom is not just a financial or expectations story, but one that is already showing up clearly in trade and industrial data across the region.

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**Global Supply Chain Pressures**
The fourth chart places recent inflation dynamics in a broader supply-chain context and offers little evidence that current US tariff policies are materially exacerbating global bottlenecks. The Global Supply Chain Pressure Index has remained close to historical norms in recent months, a sharp contrast with the extreme dislocations seen during the pandemic period. Consistent with this, producer price inflation across advanced economies has remained muted, reinforcing the tight relationship between supply-chain stress and upstream price pressures. While tariffs may still influence relative prices at the margin and contribute to sector-specific adjustments, the data do not point to a broad-based resurgence in supply-chain pressures of the kind that would generate renewed, systemic inflationary pressure.

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**Uncertainty in the US versus Europe** 
The fifth chart highlights a striking shift in the global policy uncertainty landscape. The US news-based economic policy uncertainty index has risen sharply and is now approaching levels more typically associated with Europe — a vivid contrast with the post-GFC and post-pandemic period, when US policy uncertainty was consistently well below European norms. This convergence likely reflects a combination of factors: renewed uncertainty around US trade policy and tariffs, questions over fiscal sustainability and debt dynamics, and growing debate around institutional independence, including the role of the Federal Reserve. At the same time, political polarisation and an increasingly unpredictable policy environment have become more prominent features of the US backdrop. The implications are potentially important for markets. A sustained rise in policy uncertainty would argue for a higher risk premium on US assets, particularly if it begins to influence corporate investment decisions, capital flows or the perceived safe-haven status of US markets.

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**The Global Business Cycle** 
The final chart brings the story together by highlighting a further strengthening in global economic sentiment in February. The Sentix global expectations index moved higher alongside a renewed run of positive economic surprises across a number of major economies, as captured by the Citi Global Economic Surprise Index. This combination points to an environment in which incoming data have consistently exceeded expectations, helping to reinforce investor confidence and support risk appetite. Taken together, the improvement in sentiment and the upside surprise in activity data underscore the constructive macroeconomic backdrop that markets have been responding to in recent months — one characterised by resilient growth, easing inflation pressures and still-supportive financial conditions, even as policy paths and regional dynamics continue to diverge.

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While markets have been unsettled at times by shifting policy expectations, geopolitical noise and questions around valuation, underlying global macroeconomic signals remain broadly supportive. Upgrades to Blue Chip consensus growth forecasts for parts of Asia — led by Taiwan — point to the tangible impact of the AI-driven tech cycle, a theme reinforced by the sharp rebound in semiconductor exports from South Korea (charts 1 and 3). At the same time, revisions to inflation forecasts underline a growing divergence in monetary policy paths, with easing still expected in the US and UK, while tighter stances persist elsewhere (chart 2). Importantly, there is little evidence so far that global supply-chain pressures are re-emerging in a way that would reignite inflation, notwithstanding lingering trade policy tensions (chart 4). Against this backdrop, rising policy uncertainty — particularly in the US — stands out as a potential source of risk, with implications for asset pricing and risk premia (chart 5). Yet the improvement in global sentiment surveys and a continued run of positive economic surprises suggest that markets are responding not just to policy noise, but to a genuinely resilient and improving macroeconomic environment (chart 6).

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Charts of the Week: AI-Led Growth Meets Monetary Divergence

Winnie Tapasanun

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Existing home sales fell 8.4% m/m (-4.4% y/y) to a lower-than-expected 3.91 million units (SAAR) in January following a downwardly revised 4.4% gain to 4.27 million in December (previously +5.1%; 4.35 mil.), according to the National Association of Realtors (NAR). January sales registered the lowest level since September 2024 and the deepest m/m drop since February 2022, well below the Action Economics Forecast Survey expectation of 4.20 million. Sales were 39.2% below a high of 6.43 million in January 2022 and 40.8% below a peak of 6.60 million in January 2021. The sales fall accompanied a drop in the average 30-year fixed mortgage rate to 6.11% in January, the lowest since September 2022, after declining to 6.20% in December, according to Freddie Mac. The sales figures are based on closings of sales contracts signed over the past couple of months.

Existing single-family home sales slid 9.0% (-4.3% y/y) to 3.53 million units in January, the lowest level since September 2024, after a 4.3% gain to 3.88 million in December. Sales of condos and co-ops fell 2.6% (-5.0% y/y) to 380,000 following a 5.4% December rebound to 390,000.

By region, January existing home sales decreased m/m across all major regions. Sales in the West slumped 10.3% (-7.9% y/y) to 700,000 in January after a 4.0% increase in December, marking the third m/m decline in four months and the lowest level since December 2023. Sales in the South dropped 9.0% (-1.6% y/y) to 1.81 million, the lowest reading since October 2024, reversing a 6.4% December gain. Sales in the Midwest fell 7.1% (-7.1% y/y) to 920,000, the lowest level since September 2024, after a 2.1% December increase. Sales in the Northeast declined 5.9% (-4.0% y/y) to 480,000, the lowest level since June 2025, after rising 2.0% in December and November. The South remained the dominant region, accounting for 46.3% of total U.S. existing home sales.

The median price of all existing homes (NSA) fell 2.0% (+0.9% y/y) to $396,800 in January after a 1.2% decline to $405,100 in December ($405,400 initially), representing the sixth m/m fall in seven months and the lowest level since February 2025. Prices were 8.3% below a high of $432,700 in June 2025. The median price of an existing single-family home, also down for the sixth time in seven months, slid 2.2% (+0.6% y/y) to a one-year-low $400,300 in January after a 1.3% decline to $409,500 in December. The median price of condos and co-ops, up for the third time in four months, rose 0.9% (3.8% y/y) to $364,600, the highest level since August, after a 0.4% December increase to $361,200. Regionally, overall prices fell m/m in the Midwest (-3.6%; +2.3% y/y) and South (-2.3%; +0.1% y/y) in January, but increased m/m in the Northeast (+1.1%; +5.8% y/y) and West (+0.4%; -1.4% y/y).

Inventories of homes for sale weakened further in January. The number of existing homes for sale (NSA) fell 0.8% (+3.4% y/y) to 1.22 million units on top of a 14.6% December plunge to 1.23 million, posting the fourth consecutive m/m fall and the lowest level since January 2025. The supply of homes on the market at the current selling rate (NSA) rose to 3.7 months in January after falling to 3.5 months in December (the lowest since January 2025). The most recent high of 4.6 months was in August 2025, while a record low in supply of 1.6 months was in January 2022.

The data on existing home sales, prices and affordability are compiled by the National Association of Realtors. The data on single-family home sales extend back to February 1968. Total sales and price data and regional sales can be found in Haver's **USECON** database. Regional price and affordability data and national inventory data are available in the **REALTOR** database. Mortgage interest rates can be found in the **WEEKLY** database. The expectations figure is from the Action Economics Forecast Survey, reported in the **AS1REPNA** database.

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- January sales -8.4% (-4.4% y/y) to 3.91 mil., below expectations; steepest m/m fall since Feb. ’22.
- Widespread regional m/m declines: West (-10.3%), South (-9.0%), Midwest (-7.1%), Northeast (-5.9%); all regions down y/y.
- Median sales price -2.0% (+0.9% y/y) to $396,800, lowest since Feb. ’25.
- Unsold inventory -0.8% (+3.4% y/y) to 1.22 mil. units, a one-year low; 3.7 months' supply.

U.S. Existing Home Sales Drop in January; Lowest Level Since Sept. ’24

Kathleen Stephansen, CBE

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Initial claims for unemployment insurance dropped 5,000 to 227,000 in the week of February 7, from 232,000, revised from 231,000, in the week ended January 31. The four-week average rose 7,000 to 219,500 from 212,500. The Action Economics Forecast Survey looked for 225,000 claims to have been filed.

The total number of unemployment insurance beneficiaries—also known as “continuing claims”—increased by 21,000 to 1.862 million in the week ending January 31, from 1.841 million, revised from 1.844 million, in the week ending January 24. The four-week moving average stood at 1.847 million in the January 31 week, the lowest level for this average since October 5, 2024, when it was 1.846 million. The prior week was 1.850 million. The insured unemployment rate remained at 1.2% in the week of January 24, unchanged from the previous nine weeks.

The insured unemployment rate varied greatly across individual states and territories. In the week ending January 24, the highest unemployment rates were in Rhode Island (2.95%), New Jersey (2.78%), Massachusetts (2.68%), Minnesota and Washington (both 2.58%), California (2.30%), and Montana (2.21%). The lowest rates were in Florida (0.31%), Arkansas (0.39%), North Carolina (0.43%), Louisiana (0.41%), and Alabama (0.45%). Rates in other notable states include Illinois (2.23%), New York (2.11%), Pennsylvania (1.91%), and Texas (1.16%). These state data are not seasonally adjusted.

Data on weekly unemployment claims are from the Department of Labor itself, not the Bureau of Labor Statistics. They begin in 1967 and are contained in Haver’s **WEEKLY** database and summarized monthly in **USECON**. Data for individual states are in **REGIONW** back to December 1986.

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- New claims dropped 5,000 to 227,000.
- Continuing claims rose to 1.862 million.
- The insured unemployment rate remained at 1.2% for the tenth consecutive week.

U.S. Initial Unemployment Claims Declined in Latest Week

Robert Brusca

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U.K. GDP slowed to a crawl at the end of the year, with growth at a 0.2% (annualized) rate logged in both the third and fourth quarters as 2025 drew to a close. The year had started with a strong 2.7% growth rate in Q1, which slipped to a 0.8% pace in the second quarter and decelerated to negligible growth at the end of the year.

These quarterly growth rates correspond to higher but obviously declining year over year growth rates. Because the quarterly growth rates diminished as the year progressed, year over year growth to start 2025 was at 1.8%; growth slipped to 1.4% in the second quarter and then to 1.2% in the third quarter. By the end of the year, growth had slipped to 1%.

The quarterly growth rates in the fourth quarter show public spending picked up to a 1.7% annual rate following 1% in the third quarter and erratic behavior in the first two quarters. Capital formation has remained relatively strong but has also oscillated, with first quarter growth at a blowout annual rate of 14.3%, falling to a contraction of 3.1% in Q2, rising back to 4.4% in Q3, and then declining at a 0.5% annual rate in Q4. So the year-over-year growth rates for capital formation during the course of the year only slipped from 4% in the first quarter to 3.6% in the fourth quarter, holding up fairly solidly and indicating strong rates of expansion for capital spending.

Housing, which was firm and strong in Q1 and Q2, slipped to a 0.8% annual rate of growth in the third quarter, and then housing investment fell at a 9.1% annualized rate in the fourth quarter. Year over year trends for housing show mostly low to moderate spending growth for residential investment.

U.K. exports have been floundering quarter-to-quarter, alternating between expanding and contracting; this corresponds to year over year growth rates that steadily diminish. In the first quarter of 2025, exports grew 3.5% year-over-year; that slipped to a 2% growth rate in Q2, then to a 1.5% growth rate in the third quarter. In the fourth quarter, U.K. exports are falling at a 0.5% annual rate of growth.
 
The export pattern contrasts with U.K. imports. They have mostly continued to grow, posting positive growth rates in three of the four quarters, starting the year with 5% quarterly growth and ending the fourth quarter with a 3.3% annual growth rate. Import growth rates have slipped, but not as much as other growth rates in GDP. For example, first quarter import growth was extremely strong at 7.6%; that year over year growth rate slips to 2.1% in Q2, then rises back to 5.3% in Q3, and finishes the year at 2.3%. There is slippage, but still significant growth, and the year began on a really high note.

Domestic demand has been fluctuating. In both quarterly and annual terms, there is unevenness. Quarterly growth rates range from 3.1% at an annual rate in Q1, to a 0.6% and 0.7% annual rate in the middle two quarters of the year; domestic demand ends the fourth quarter with a quarterly growth rate of 2.1% annualized. This causes year-over-year growth to be 2.9% in the first quarter; that falls to 1.2% in the second quarter, rebounds to 2.1% in the third quarter, and ends the year at 1.6% year-over-year.

Domestic demand has consistently been stronger than private consumption and it has been supported by both public consumption and by capital formation. Private consumption in 2025 has been erratic, logging 1.2% quarterly growth, annualized, in the first quarter; growth dropped to 0.2% in Q2, rising back to 1.7% in Q3, and then ending the year at a 0.6% rate of expansion quarter-over-quarter. The year-over-year data showed private consumption slipping but not dramatically, at a pace of 1.1% in the first quarter, up to 1.2% in the second quarter and then logging 0.9% in both the third and fourth quarters of 2025 as domestic demand ended the year stronger.

All of the U.K. growth rates are consistently and substantially below their five year growth rates. The economy continues to have a problem with inflation. Some recent inflation signals, however, suggest that there may be deceleration and progress, but the Bank of England hasn’t been convinced yet, even though Monetary Policy Committee members continue to speak favorably about the prospects for rate reductions ahead. The U.K. also has a corseted fiscal situation as there’s not much flexibility to spend more given its relatively bloated budget. The economy is waffling. The current administration has had its share of political issues, having recently had to eject several members from leadership positions in government. The outlook for growth is still touch and go. The outlook for inflation holds slightly more promise for deescalation. But overall, there is a lot of uncertainty over events and the growth path for the U.K. economy.

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United Kingdom

U.K. Second Half GDP Slows to a Crawl

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Nonfarm payroll employment rose 130,000 in January, notably better than the expected increase of approximately 50,000 and far better than the average monthly gain of 15,000 in 2025. Some observers might not be impressed because the increase was concentrated in the health-care and social-services category (124,000), which is not especially sensitive to the business cycle. In addition, the increase in this category was unusually sharp, suggesting the possibility of random volatility.  The increase was the largest since the summer of 2020, when pandemic-related noise was driving activity.

To be sure, the employment gain outside of health-care and social-services was modest, but the report carried some bright spots nonetheless. The construction sector, which is highly sensitive to business conditions, rose sharply for the second time in the past three months (net gain of 65,000). Similarly, employment in business services, another area sensitive to the business cycle, rose for the third consecutive month, a marked shift from declines in nine of the prior ten months. The manufacturing sector added 5,000 jobs, a moderate change but a welcome break from 13 consecutive declines before January.

Results from the household survey also were favorable, with the unemployment dipping 0.1 percentage point for the second consecutive month. Also, it was a “strong” decline, with the drop reflecting a surge in employment as measured by the household survey (528,000) that exceeded a sharp increase in the size of the labor force (387,000). The broad unemployment rate (the so-calledU-6 measure) showed even sharper improvement (off 0.4 percentage point to 8.0%). Both of the two items added to the headline measure in the broad rate contribute to the decline. The number of individuals working part time for economic reasons fell 8.5% and the number of individuals marginally attached to the labor force fell 4.9%.

An increase of 0.4% in average hourly earnings could be viewed as a bright spot. The monthly change was in the upper end of the range from the past year or two, which left little change in the year-over-year increase (3.7%). The steady advance at a rate in excess of inflation shows that demand for workers has not evaporated.

The length of the average workweek often receives scant attention in reviews of the labor market, but it can be an important variable. Businesses can alter the pace of activity by adjusting hours worked rather than changing payrolls, and thus, shifts in the workweek can signal changes in the tempo of the economy. Fortunately, the workweek has been steady recently, rising 0.1 hour in January and moving to the upper end of the tight range that has been in place for the past year or two.

While we judged the report to be favorable overall, it also contained some soft elements, as several industries posted slow job growth in January: transportation and warehousing (-11,000), information (-12,000), financial activity (-22,000), and the federal government (-34,000).

The annual benchmark adjustment also involved troublesome news. The universe job count taken as of March every year showed that total employment in March 2005 was 862,000 lower than previously believed (not seasonally adjusted). That revision left average monthly job growth from April 2004 to March 2005 (the period between the two benchmark months) at 76,000, down substantially from the average of 147,000 in the monthly reports (seasonally adjusted). Results from April to December 2025 also were nudged lower (monthly job growth of 13,000 rather than 28,000). The adjustments after the latest benchmark date reflected a recalibration of models used in the estimation process and the normal monthly adjustments in the prior two months of the latest survey. Revisions to seasonal factors back to 2021 also influenced all results. 

The employment and earnings data are collected from surveys taken each month during the week containing the 12th day of the month. The labor market data are contained in Haver's **USECON** database. Detailed figures are in the **EMPL** and **LABOR** databases. The expectations figures are in the **AS1REPNA** database.

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•	The increase in employment in January was firm, although narrowly based.
•	The unemployment rate dipped for the second consecutive month, led by strong employment as measured by the household survey.
•	The benchmark revision included with this report showed that job growth in much of 2024 and early 2025 was softer than previously believed.

January Employment Report: The Labor Market Has a Pulse

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Italian industrial production fell nearly across the board. In December, headline production fell by 0.2%; consumer goods output fell by 0.9% and intermediate goods output fell by 0.4%, while capital goods output was the exception, rising by 0.5%. Output had risen in all sectors in November; it had fallen across all sectors in October. As a result, the recent data are quite choppy and it's hard to make sense of what the underlying trend is or what might be developing.

Sequential data offer some opinions on this idea of where the trend is going. The headline output shows a 3.6% gain over 12 months, advances at a 1.1% annual rate over six months, and then declines at a 1.3% annualized rate over three months. The headline rate is clearly in a persistently declining phase. That phase is supported by intermediate goods where output is up 3.4% over 12 months, rises at a 0.7% annual rate over six months, and then falls at a 2.2% annualized pace over three months. Consumer goods and capital goods do not offer much clarity, swinging sequentially and failing to provide steppingstones to a new trend. Consumer goods output shows a 12-month gain of 0.3%, but that is substantially undermined by a 6.1% annualized decline over three months. However, for capital goods, a 7.2% growth rate over 12 months is quite similar to a 7% annualized gain over three months, showing that capital goods output has hardly lost a step despite a stumble over six months.

Output in the transportation sector in Italy is contrarily showing a tendency to acceleration in monthly data from October to November to December. Sequentially, this series is giving us no clear signals.

**Other trends**
In the quarter to date, Italian output is falling by a 0.8% annual rate, led by a 4.3% annual rate decline in consumer goods. However, capital goods output is increasing at a 3.4% annual rate, and intermediate goods output is up at a tepid 1.6% annualized pace. Since January 2021, the cumulative change in output is lower for manufacturing overall, for consumer goods output, and for intermediate goods, while capital goods output is up by 1.6% over that span. The ranking of year-over-year growth rates on data back to 2004 shows all the sectors with growth rates above the 50% mark, indicating that year-over-year growth across the Italian sectors is greater than their median over this broad period. Headline growth is exceptionally solid, with the ranking in its 81st percentile. The transportation sector, however, has a growth rate that ranks only at its 24th percentile.

**Indicators and surveys**
The bottom panel of the table presents performance by surveys; these tend to be more up-to-date, and they've come to be relied upon. Here we feature indicators from the EU industrial survey and from Istat on current orders and on the outlook for current production. In December, all three of these metrics showed declines; in November they all showed increases, and they showed increases in October similar to the increases logged in November. The changes in the levels of the variables over different horizons show a mild tendency toward weakening, but nothing that is clear or dramatic, looking at changes from 3-months. to 6-months, to 12-months. In the just-completed quarter (QTD), the change in the indicators is either flat or lower. All of them track below their historic median levels (rankings <50). The indicators clearly are showing weaker conditions than actual production data. These sorts of rifts are common between accounting data and survey-style diffusion data. They also generate controversy about which is right. I favor the accounting data.

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Italy

Italian IP Shows Gains in Progress

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Mortgage applications edged down 0.3% w/w (+43.4% y/y) in the week ending February 6, following a drop of 8.9% w/w (+47.2% y/y) in the week ending January 30, according to the Mortgage Bankers Association’s (MBA) Weekly Mortgage Applications Survey. Applications for loans to purchase a house declined 2.4% w/w (+5.5% y/y) in the latest week, after contracting 14.4% w/w (+5.6% y/y) in the week ending January 30.  Applications for loan refinancing rose 1.2% w/w (100.5% y/y) in the February 6 week, after declining 4.7% w/w (+117.3% y/y) in the January 30 week.

The effective interest rate on a 30-year fixed-rate loan edged up 1bp to 6.38% in the week ending February 6 from 6.37% in the week ending January 30. The rate on 15-year fixed-rate mortgages rose 6bps to 5.82% in the latest week from 5.76% in the prior week. The 30-year Jumbo rate fell 2bps to 6.40% in the February week from 6.42% in the January 30 week. The rate on a 5-year ARM edged down 1bp to 5.58% in the latest week from 5.59% in the week ending January 30.

The share of applications for refinancing an existing loan declined to 56.4% of total applications in the February 6 week from 57.1% in the January 30 week. The adjustable-rate mortgage (ARM) share of activity rose to 8.0% in the week ending February 6 from 7.5% in the week ending January 30.

The average size of a mortgage loan declined 1.2% w/w (+3.1% y/y) to $405,700 in the week ending February 6, after rising 1.9% w/w (6.6% y/y) to $410,800 in the week ending January 30. The average size of a purchase loan declined 1.6% w/w (-2.4% y/y) to $445,000 in the latest week, following a 2.6% w/w to $452,100 in the week ending January 30. The average size of a loan to refinance a mortgage declined 1.2% w/w (+24.9% y/y) to $375,200 in the week ending February 6, following a rise of 1.5% w/w to $379,700 in the week ending January 30.

The Mortgage Bankers Association Survey covers 75% of all U.S. retail residential mortgage applications and has been conducted weekly since 1990. Respondents include mortgage bankers, commercial banks and thrifts. The base period and value for all indexes is March 16, 1990=100. The figures for weekly mortgage applications and interest rates are available in Haver’s **SURVEYS** database.

- Applications for loans to purchase declined in the latest week while refinancing loan applications rose.
- Effective interest rate on 30-year fixed loans rose 1bp to 6.38%.
- Average loan size declined.

U.S. Mortgage Applications Edged Down in the February 6 Week

Sandy Batten

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Industrial production (IP) rose a larger-than-expected 0.7% m/m (2.3% y/y) in January following downwardly revised readings for both December (0.2% m/m versus 0.4% m/m previously) and November (0.1% m/m versus 0.4% m/m previously) according to data released by the Federal Reserve Board. The Action Economics Survey looked for a 0.4% monthly gain. The 2.3% annual increase was the second highest since September 2022.

Manufacturing output increased 0.6% y/y (2.4% y/y) in January following a downwardly revised unchanged reading in December (previously +0.2% m/m). Weakness in mining output continued with a 0.2% m/m decline (+2.5%y/y) in January after a downwardly revised 0.9% monthly drop in December (previously -0.7% m/m). This was fourth monthly decline in mining output in the past five months. Reflecting continued unseasonably cold temperatures, utilities output jumped 2.1% m/m (1.1% y/y) in January on top of an upwardly revised 3.0% monthly gain in December (previously 2.6% m/m). This reflected 2.1% monthly gains in both electricity and natural gas distribution.

Within manufacturing, durable goods production rose 0.8% m/m (3.7% y/y) in January after a 0.2% monthly increase in December. Gains were widespread across sectors. Production of nonmetallic mineral products increased 2.2% m/m, the first monthly gain in four months. Machinery output increased 1.2% m/m; computer production gained 1.0% m/m; output of motor vehicles rose 1.3% m/m. By contrast, production of aerospace and miscellaneous transportation equipment slipped 0.2% m/m, the second monthly decline in the past three months. Output of nondurable goods increased 0.4% m/m (1.3% y/y) in January, more than reversing a 0.2% monthly decline in December. Performance by sector was varied. Output of plastics and rubber products rose 1.3% m/m in January; chemical production increased 1.1% m/m; paper production gained 0.8% m/m. By contrast, output of apparel and leather goods fell 0.7% m/m, their first monthly decline in three months; food output fell 0.4% m/m; textile output declined 0.3% m/m.

By market groups, output of consumer goods increased 0.7% m/m (1.3% y/y) in January on top of a 0.8% monthly gain in December. Production of business equipment gained 0.9% m/m (9.3% y/y) in January, the same monthly advance as in December. Output of construction supplies rose 0.5% m/m (1.2% y/y) in January, more than reversing the 0.4% monthly decline in December. Output of material increased 0.6% m/m (1.9% y/y) in January after having been unchanged in December from November.

In special classifications, output of selected high-tech industries jumped 1.9% m/m (8.9% y/y) in January, the fourth consecutive monthly gain, following a 0.2% monthly increase in December. Output of motor vehicles and parts rose 1.3% m/m (5.5% y/y) in January after having been unchanged in December. The January gain was led by a 1.9% monthly jump in motor vehicle production. Manufacturing output excluding selected high-tech industries was up 0.6% m/m (2.2% y/y) in January following an unchanged monthly reading in December. Manufacturing output excluding selected high-tech industries and motor vehicles and parts increased 0.5% m/m (2.0% y/y) in January versus unchanged in December.

Capacity utilization rose to 76.2% in January, 3.2%-points below its long-term (1972-2025) average, from a downwardly revised 75.7% in December (previously 76.3%). The January reading was the highest since July. Manufacturing capacity utilization increased to 75.6% in January, 2.6%-points below its long-term (1972-2025) average, from 75.2% in December.

Industrial production and capacity data are in Haver’s **USECON** database. Additional detail on production and capacity utilization can be found in the **IP** database. The expectations figures come from the **AS1REPNA** database.

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- Total industrial output increased a larger-than-expected 0.7% m/m in January.
- However, there were meaningful downward revisions to the previous two months.
- Manufacturing output increased 0.6% m/m, mining declined 0.2% m/m, and utilities production jumped 2.1% m/m.
- Rates of capacity utilization edged up in January but remained well below their long-term averages.

U.S. Industrial Production Jumped in January

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