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

Tom Moeller

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Consumers remain in a spending mood. Total retail sales increased 0.5% (3.9% y/y) during July after rising 0.9% in June, revised from 0.6%, and falling 0.8% in May, revised from down 0.9%. The overall rise matched expectations in the Action Economics Forecast Survey. Sales excluding autos rose an expected 0.3% last month (3.7% y/y) following a 0.8% June gain, revised from 0.5%, and a 0.1% dip during May, revised from -0.2%.

Sales in the retail control group, which excludes autos, building materials, gasoline and food services, rose 0.5% (4.8% y/y) last month after increasing 0.8% in June, revised from 0.5%, and 0.3% in May, revised from 0.2%. These sales are used in the construction of personal consumption expenditures in the NIPA accounts. These sales rose 3.9% (AR) last quarter following a 3.7% Q1 rise.

Light vehicle sales increased 1.6% (4.7% y/y) in July after rising 1.4% in June, following a 3.8% decline in May. This compares to a 7.6% (6.0% y/y) rise in unit sales of motor vehicles last month which followed declines in each of the prior three months. Gasoline service station sales eased 0.7% (-2.9% y/y) during July after a 0.6% rise during June. Gasoline prices fell 1.2% (-9.8% y/y) last month after holding steady in June. Sales of building materials & garden equipment declined 1.0% (-2.6% y/y) after a 1.3% rise during June.

Elsewhere, sales were mixed last month. Furniture & home furnishings sales increased 1.4% (5.1% y/y) after rising 0.1% in June. Nonstore retail sales rose 0.8% (8.0% y/y) after increasing 0.9% in June. Sporting goods & hobby shop sales increased 0.8% (2.3% y/y) following a 0.7% decline. Apparel store sales increased 0.7% (5.0% y/y) during July following a 1.1% gain. General merchandise store sales rose 0.4% (2.3% y/y) after they moved 0.5% higher in June, and department store sales improved 0.9% (-0.8% y/y) after falling 0.6% in June.

Working lower, miscellaneous store sales fell 1.7% (+10.6% y/y) during July after strengthening 2.7% in June. Electronics & appliance store sales eased 0.6% (-2.3% y/y) last month after two consecutive months of moderate decline.

In the nondiscretionary sales sector, food & beverage store sales rose 0.5% (2.5% y/y) last month following a 0.8% rise in June. Health & personal care store sales also rose 0.4% (5.6% y/y) last month after strengthening 1.0% in June.

Restaurant & drinking establishment sales fell 0.4% (+5.6% y/y) in July after rising 0.6% in June.

Retail sales data can be found in Haver’s **USECON** database. The expectations figures are from the Action Economic Forecast Survey in **AS1REPNA**.

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- Strong vehicle sales pace the increase.
- Nonauto sales are mixed. 
- Sales in the retail control group (used to estimate PCE) increase.

U.S. Retail Sales Post Solid Increase in July; June Gain Revised Up

Winnie Tapasanun

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Industrial production (IP) dipped 0.1% m/m in July after upwardly revised increases of 0.4% in June (+0.3% initially) and 0.1% in May (0.0% previously), data from the Federal Reserve Board showed. A 0.0% m/m for July had been expected in the Action Economics Forecast Survey. The year-on-year rate of increase accelerated to 1.4% in July from 0.7% in June; it was well above -0.2% y/y in July 2024. The July IP index was at 104.0, marginally down from 104.1 in June (the highest since September 2018) and 2.5% above a low of 101.5 in January 2024.

By **industry groups**, manufacturing production was virtually unchanged (+1.4% y/y) in July following rises of 0.3% in June (+0.1% initially) and 0.2% in May (+0.3% previously). Durable goods production grew 0.3% (2.7% y/y) in July, the second m/m gain in three months, following a 0.1% downtick in June. Within durables, the following categories rose m/m in July, including output increases of 1.7% (8.9% y/y) in aerospace & miscellaneous transportation equipment, 1.3% (-1.7% y/y) in miscellaneous durables goods, 1.0% (-2.0% y/y) in electrical equipment, appliances & components, 1.0% (-0.2% y/y) in furniture & related products, 0.7% (1.7% y/y) in wood products, 0.6% (-1.3% y/y) in nonmetallic mineral products, 0.2% (-0.3% y/y) in fabricated metal products, and 0.1% (5.6% y/y) in computer & electronic products. Notably, aircraft & parts production climbed 1.1% (11.4% y/y) in July, the ninth straight m/m rise, on top of a 2.3% gain in June. To the downside, the following durable goods categories fell for the third time in four months in July, including machinery (-0.3%; +0.9% y/y), motor vehicles & parts (-0.3%; +8.3% y/y), and primary metals (-0.3%; +4.0% y/y).

Nondurable goods production fell 0.4% (+0.6% y/y) in July, down for the third month in four, following a 0.7% rebound in June, reflecting m/m output falls of all nondurable goods categories. These included output declines of 2.1% (-4.7% y/y) in textiles & product mills, 1.7% (-5.5% y/y) in apparel & leather goods, 0.8% (-3.1% y/y) in plastics & rubber products, 0.5% (0.0% y/y) in paper, 0.5% (+0.7% y/y) in petroleum & coal products, 0.4% (+2.5% y/y) in chemicals, 0.2% (+0.3% y/y) in food, beverages & tobacco, and 0.1% (-1.3% y/y) in printing & related support activities.

Mining activity slid 0.4% (+1.9% y/y) in July, the third m/m slide in four months, after an unrevised 0.3% decrease in June. Utilities output declined 0.2% (+0.8% y/y), down for the second month in three, following a downwardly revised 1.8% June gain (+2.8% initially), with a 0.3% decrease (+1.6% y/y) in electric utilities output and a 0.5% rebound (-5.3% y/y) in natural gas utilities output.

By **market groups**, materials production fell 0.3% (+1.8% y/y) in July, the first m/m fall since March, after a 0.5% advance in June. Construction supplies production declined 0.2% (+2.0% y/y) following a 0.3% June increase. To the upside, business equipment output rose 0.5% (3.8% y/y) in July, the ninth consecutive m/m rise, after a 0.1% uptick in June. Consumer goods output edged up 0.1% (0.6% y/y) after a 0.3% June rebound, reflecting increases of 0.1% (2.5% y/y) in durable consumer goods and 0.1% (0.1% y/y) in nondurable consumer goods.

In **special classifications**, factory output of selected high-tech industries rose 1.4% (14.0% y/y) in July on top of an upwardly revised 0.9% gain in June (+0.5% initially), posting the fourth successive m/m rise and the seventh in eight months. Meanwhile, manufacturing production excluding selected high-tech industries dipped 0.1% (+1.1% y/y) in July, the first m/m easing since April, following a 0.3% increase in June; manufacturing production excluding selected high-tech and motor vehicles & parts slipped 0.1% (+0.6% y/y), the third m/m decline in four months, following a 0.5% June rebound.

Capacity utilization fell to 77.5% in July from a three-month-high 77.7% in June (77.6% previously). The Action Economics Forecast Survey forecasted 77.6%. The July reading was 2.1 percentage points below its long-run (1972–2024) average. Manufacturing capacity utilization dipped to 76.8% in July from an unrevised 76.9% in June; the July rate was 1.4 percentage points below its long-run average.

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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- July IP -0.1% (+1.4% y/y), led by a 0.4% decline in mining activity.
- Mfg. IP unchanged, w/ durables up 0.3% and nondurables down 0.4%.
- Utilities output -0.2%, the second m/m fall in three months.
- Key categories in market groups post mixed results.
- Capacity utilization down 0.2%pt. to 77.5%; mfg. capacity utilization down 0.1%pt. to 76.8%.

U.S. Industrial Production Eases in July

Sandy Batten

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The Empire State Manufacturing Index of General Business Conditions unexpectedly advanced more than 6 points to 11.9 in August after having jumped nearly 22 points to 5.5 in July, according to the Empire State Manufacturing Survey released by the Federal Reserve Bank of New York. This is the highest reading since November 2024 and indicates a pickup in the pace of economic activity in New York State. A reading of -1.0 for August had been expected by the Action Economics Forecast Survey. The percentage of respondents reporting an increase in general business conditions rose to 34.7% in August from 32.4% in July while the percentage reporting a decrease fell to 22.8% in August, the lowest reading since February, from 26.9% in July. The August survey was conducted between August 4 and August 11.

The headline index just reflects the answer to a single question concerning the state of economic activity and is not calculated from the components. Haver Analytics calculates a composite index from the five major components, which is comparable to the ISM manufacturing index. This calculated index slipped to 54.3 in August from 54.7 in July, still well above the critical 50 level that separates expansion from contraction but indicating that the components were not quite as strong as the headline index in August. The calculated index is the average of five diffusion indexes: new orders, shipments, employment, supplier deliveries and inventories with equal weights (20% each).

The August increase was led by a more than 13-point increase in the new orders index, to 15.4 from 2.0. Thirty-six percent of respondents reported an increase in orders, up slightly from 35% in July. However, only 20.4% reported a decline in orders, down markedly from 32.9% in July and a recent high of 40.2% in March. The shipments index was little changed in August but remained at a solid 12.2. Inventories reversed course sharply, falling to -6.4, the first negative reading since last August, from 15.6 in July. Employment also slowed with the index falling to 4.4 from 9.2 in July.

Indications of supply-chain disruptions continued to emerge. Delivery times lengthened markedly with the index jumping to 17.4 in August, its highest reading since May 2022, from an already elevated 8.3 in July. Twenty percent of respondents reported an increase in delivery times, up from nearly 15% in July, while only 2.8% reported a shortening versus 6.4% in July. Moreover, the supply availability index remained in negative territory at -5.5 versus -11.0 in July.

Inflation indexes softened a bit in August but remained elevated. The prices paid index edged down to 54.1 from 56.0 in July while the prices received index slid to 22.9 from 25.7 in July. Both remain significantly elevated relative to the beginning of the year.

Firm optimism about the future (the next six months) soured a bit in August. The index for future general business conditions fell eight points to 16.0, suggesting that businesses expect activity to increase in the months ahead, but firms were less optimistic than they were last month. New orders and shipments were expected to increase. Two-thirds of respondents expect input prices to pick up further over the next six months. Of some concern, capital spending plans were soft with the expectations index plunging to -0.9 in August from 9.2 in July.

The indexes in this report are diffusion indexes and measure the percentage of respondents indicating an increase minus the percentage indicating a decrease with zero separating expansion from contraction.

The New York Fed survey data are contained in Haver’s **SURVEYS** database. The expectations series is in Haver’s **AS1REPNA** database.

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- The highest reading since November 2024.
- The August rise was led by stronger new orders and continued gains in shipments.
- More evidence of nascent supply-chain problems.
- Outlook six months ahead faded slightly.

FRBNY Empire State Manufacturing Index Unexpectedly Advances in August

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Import prices unexpectedly increased 0.4% m/m (-0.2% y/y) in July after declines of 0.1% m/m in June and 0.4% m/m in May, according to the Bureau of Labor Statistics. An unchanged reading had been expected by the Action Economics Forecast Survey. Export prices edged up 0.1% m/m (2.2% y/y) in July following a 0.5% monthly gain in June. The Action Economic Forecast Survey had also looked for an unchanged reading.

For imports, prices for imported fuel advanced 2.7% m/m in July following an increase of 0.8% m/m in June and a decrease of 5.0% m/m in May. The July increase was the largest monthly advance since the index rose 3.0% m/m in January 2025. Higher prices for imported petroleum and natural gas drove the July increase, advancing 2.4% m/m and 4.7% m/m, respectively. Imported fuel prices fell 12.1% y/y in July 2025 with imported petroleum prices down 13.7% y/y while imported natural gas prices soared 62.2% y/y.

Apart from imported fuel, prices for nonfuel imports advanced 0.3% m/m percent in July, following a decrease of 0.3% m/m in June. Higher prices for nonfuel industrial supplies and materials (1.0% m/m), consumer goods (0.4% m/m), and capital goods (0.1% m/m) more than offset lower prices for automotive vehicles (-0.2% m/m) and foods, feeds, and beverages (-0.1% m/m). Nonfuel import prices increased 0.9% y/y in July and have not declined on an over-the-year basis since a 0.6% decrease in February 2024. Higher prices for nonfuel industrial supplies and materials; capital goods; and foods, feeds, and beverages contributed to the year-over-year advance.

Higher prices for nonagricultural exports drove the July increase in overall export prices. The price index for agricultural exports was unchanged in July following a 0.8% m/m increase in June. Higher prices for meat (1.1% m/m) and vegetables (3.4% m/m) lower prices for corn (-1.9% m/m) and animal feeds (-1.6% m/m). The price index for agricultural exports increased 3.4% y/y in July, the largest 12-month rise since a 5.3% y/y advance in January 2023. Nonagricultural export prices ticked up 0.1% m/m in July, after rising 0.5% m/m in June and falling 0.8% m/m in May. Higher prices for automotive vehicles (0.7% m/m), capital goods (0.2% m/m), and consumer goods (0.2% m/m) more than offset lower prices for nonagricultural industrial supplies and materials (-0.1% m/m). Prices for nonagricultural exports increased 2.0% y/y in July. Higher prices for nonagricultural industrial supplies and materials, capital goods, and automotive vehicles drove the year-over-year advance.

These import and export price series are not seasonally adjusted; they can be found in Haver’s **USECON** database. Detailed figures are available in the **USINT** database. The expectations figure from the Action Economics Forecast Survey is in the **AS1REPNA** database.

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- Import prices rose 0.4% m/m in July against expectations of no change after declines in both May and June.
- Higher prices for imported petroleum and natural gas drove the July rebound. 
- Export prices ticked up 0.1% m/m, largely reflecting higher prices for nonagricultural exports.

U.S. Import Prices Rebounded in July

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Total business inventories increased 0.2% during June after holding steady in May and April. The y/y gain has decelerated to 1.6% from November’s 2.6%. Retail inventories rose 0.2% for the second straight month and the y/y increase fell to 2.4% from 7.5% in November.

Within the retail sector, auto inventories increased 1.0% (-1.0% y/y) after rising 0.6% in May. Retail inventories excluding autos edged 0.1% lower (4.1% y/y) and reversed the May increase. General merchandise store inventories fell 0.4% (+1.9% y/y), their third consecutive monthly decline. Food & beverage store inventories eased slightly (+4.0% y/y) and inventories at building materials & garden equipment stores rose 0.3% (6.7% y/y) after holding steady in May. Furniture & appliance store inventories increased 0.2% (1.8% y/y) following two months of strong increase. Clothing inventories rose 0.4% (1.5% y/y) and reversed the May decline.

Wholesale inventories edged 0.1% higher (1.3% y/y) in June following a 0.3% fall during May. Factory sector inventories rose 0.2% (1.1% y/y) following a 0.1% easing in May.

Total business sales increased 0.5% (3.8% y/y) during June, following a 0.4% May decline. Retail sales increased 0.9% (4.0% y/y) in June after falling 0.8% in May. Wholesale sales rose 0.3% (5.5% y/y) after a 0.4% decline in May. Factory sales rose 0.5% (1.8% y/y) on the heels of 0.2% gain.

The business sector inventory/sales (I/S) ratio eased to 1.38 in June from 1.39 in the previous month. The I/S ratios for retailers and wholesalers both held steady in June at 1.30, while the manufacturing I/S ratio was unchanged at 1.57.

The manufacturing and trade data are in Haver’s **USECON** database. The Action Economics Forecast Survey is in the **AS1REPNA** database.

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- Inventory increase is first in three months & spread across sectors.
- Sales rise is led by retailers.
- I/S ratios are little changed.

U.S. Business Inventories Rise Modestly in June as Sales Increase

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Monthly Inflation Expectations, Financial Agents (Jul)

Mfg & Trade Inventories & Sales (Jun), IP & Capacity Util, Adv Retail Sales, Import/Export Prices (Jul)

Issued Building Permits, Industtrial Turnover (Jun)

IP (Jul), Export of Goods by Commodity (Jun)

Survey of Expectations (Aug), Services Production (Jul)

Commodities PPI, Domestic Supply Prices (Jul)

Construction Cost Index, International Trade (Jul)