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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The Conference Board's Index of Consumer Confidence fell 8.4% (-11.8% y/y) to 86.0 after a 6.2% decline in March to 93.9, revised from down 7.2%. A reading of 87.2 had been expected in the Action Economics Forecast Survey. The April figure was 23.8% below its November 2024 high. Weakness in confidence is widespread amongst components in this latest report.

The Expectations Index plunged 18.7% (-20.9% y/y) to 54.4, after falling 10.6% in March, revised from a 12.8% decline. This latest figure was the weakest since October 2011. The Present Situation index fell 0.7% (-5.0% y/y) to 133.5, after declining 2.7% in March and 1.3% in February. The reading was the lowest in seven months.

The percentage of respondents assessing business conditions as “good” rose to 19.2% this month after declining to 18.3% in March. The index hit a high of 22.0% in October. The percentage assessing conditions as “bad” eased to 16.1% after rising to 16.5% in March. The appraisal of labor market conditions dipped m/m in April as 31.7% of respondents thought jobs were plentiful, down from 33.6% in March. Jobs were viewed as hard to get by 16.6% of respondents this month, up from 16.1% in March. This measure has risen from 11.0% in January 2024. The labor market differential calculated by Haver Analytics (the percentage of consumers who think jobs are plentiful minus the percentage who believe that jobs are currently hard to get) fell to 15.1% compared to 17.5% in March and remained below a high of 47.1% in March 2022. This series has a 60% correlation with the unemployment rate over the last ten years.

Expectations for business conditions deteriorated in April. A lessened 15.7% of respondents expect conditions to improve over the next six months, down from 20.8% in both February and January, while a higher 34.8% expect them to deteriorate, up from 25.5% in February. On employment, a lessened 13.7% expect the number of jobs to increase over the next six months. The percentage expecting the number of jobs to decline in the next six months rose to 32.1% after surging to 26.6% in February. A lessened 15.0% expect income to increase in six months. That remained down from a high of 20.7% in November and compares to a higher 18.2% who expect income to decrease, up from 11.8% in October.

The expected rate of price inflation over the next twelve months jumped to 7.0% in April after increasing to 6.0% in March. This compares to a low of 5.0% in November. Interest rates are expected to rise this year by a higher 56.1% of respondents, up from a 45.5% low in November 2024. The percentage of respondents expecting equity prices to increase over the next twelve months declined to 36.1% after dropping from 57.2% in November, while the percentage expecting a decline in stock prices jumped to 48.5% from a 21.7 low in November.

The percentage of respondents planning to buy a home fell in April to 4.5% from 5.6% in March. Plans to purchase an automobile eased to 10.5% this month, down from 10.7% in March and February.

The Consumer Confidence data are available in Haver’s **CBDB** database. The total indexes, which are indexed to 1985=100, appear in **USECON**, and market expectations are in **AS1REPNA**.

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- Confidence weakens to lowest level since May 2020.
- Expectations reading plummets to 2011 low; present situation reading eases.
- Inflation and interest rate expectations rise further.

U.S. Consumer Confidence Slides Again in April; Inflation Expectations Strengthen

Sandy Batten

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Job openings fell 288,000 to 7.192 million in March from a downwardly revised 7.480 million in February (previously 7.568 million), according to the Job Openings and Labor Turnover Survey. This is the lowest level of openings since last September although openings have been relatively trendless for the past year. The number of openings continues to exceed the number unemployed, but by only 109,000, the smallest amount since the pandemic, and indicates a relatively balanced labor market. The job openings rate fell to 4.3% in March from 4.5% in February. The March figure was in line with those immediately prior to the pandemic and is well below a high of 7.4% reached in March 2022. This rate is calculated as the ratio of job openings to total nonfarm employment plus openings.

Private sector openings fell 229,000 to 6.359 million in March from 6.588 million in February. The March decline was widely spread with manufacturing (+4,000) and “other” (+20,000) the only major sectors experiencing an increase. Trade, transportation and utilities openings fell 62,000 on top of 198,000 plunge in February. Construction openings fell 38,000, their first monthly decline in three months. Private education and health services openings fell 61,000, their third monthly decline in the past four months. The private sector job openings rate edged down to 4.5% in March from 4.6% in February (revised down from 4.7%). It has fluctuated between 4.4% and 5.0% over the past 13 months without a noticeable trend.

Total hiring edged up 41,000 to 5.411 million in March. This was the second monthly gain in the past six months. Over the past year, hiring has fallen 61,000. Private hiring rose 30,000 to 5.050 million, its fourth consecutive monthly gain although it has fallen 41,000 over the past year. Hiring in leisure and hospitality increased 48,000, the first increase in three months. Private educational and health services hiring rose 36,000, also its first increase in three months. Finance hiring increased 28,000. In contrast, construction hiring fell 45,000, the first monthly decline in three months. And professional and business services hiring fell 43,000. Total government hiring rose 11,000 which included a 1,000 decline in federal government hiring. The total hiring rate was unchanged at 3.4%, where it has been for five of the past six months. The private hiring rate was also unchanged at 3.7% in March for the sixth consecutive month.

Total job separations fell 179,000 to 5.137 million in March. They have been little changed over the past year. Quits increased 82,000 to 3.332 million; layoffs fell 222,000, the largest monthly decline since February 2023; other separations fell 39,000 to 247,000. Quits are voluntary separations initiated by the employee and are often viewed as an indicator of workers’ willingness to leave jobs for other opportunities. Private quits (+91,000 in March to 3.145 million) have been on a modest uptrend since late last year, possibly pointing to a slight firming of the labor market. Private layoffs (separations initiated by the employer) appear to be reversing their uptrend from last year. They fell 229,000 to 1.451 million in March, also their largest monthly decline since Febuary2023, led by a 79,000 monthly decline in leisure and hospitality layoffs and a 56,000 drop in trade, transportation and utilities layoffs.

The Job Openings and Labor Turnover Survey (JOLTS) data are available in Haver’s **USECON** database.

- Job openings fell to 7.192 million from downwardly revised 7.480 million in February.
- The job opening rate slid to 4.3% from 4.5%.
- Hiring was little changed in March.
- Layoffs fell to lowest level since last June.

JOLTS: Openings and Layoffs Fall in March; Hiring Little Changed

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The advance estimate of the U.S. international trade deficit in goods deepened to $162.0 billion in March after narrowing to $147.8 billion in February, as reported by the U.S. Census Bureau showed. A deficit of $143.0 billion for March had been expected by the Action Economics Forecast Survey. In Q1'25, the goods trade deficit widened to $463.2 billion after rising to $324.0 billion in Q4'24 from $305.1 billion in Q3'24. In real terms, the Q1’25 trade deficit is likely to have subtracted from real GDP growth, after having added 0.26 percentage point to growth in Q4'24.

Total goods imports jumped 5.0% (31.3% y/y) to $342.7 billion in March after a 0.3% February gain. Consumer goods imports surged 27.7% (54.1% y/y) following a 2.9% increase. Auto imports strengthened 6.6% (9.5% y/y) after a 1.2% rise while capital goods imports increased 4.0% in March (23.2% y/y) following a 1.7% February gain. Offsetting these increases, imports of industrial supplies & materials declined 13.3% (+39.9% y/y) after falling 3.7% in February. Foods, feeds & beverage imports eased 0.4% (+10.9% y/y) following a 2.1% decline and imports of “other” goods were off 5.6% (+13.7% y/y) after a 4.7% February increase.

Total goods exports rose 1.2% (6.9% y/y) to $180.8 billion in March, the fourth rise in five months, after increasing 3.7% in February. The rise reflected a 6.9% surge (-0.5% y/y) in foods, feeds & beverages after a decline of 2.5% In February. Industrial supplies & materials exports gained 3.2% (4.5% y/y) after increasing 4.6% in February. Exports of autos surged 7.9% (10.8% y/y) following a 2.7% increase. Exports of other goods edged 0.3% higher (2.4% y/y) after four straight months of decline. Offsetting these gains, consumer goods exports declined 1.6% (+1.9% y/y) following a 0.6% rise. Capital goods exports were off 2.6% (+13.3% y/y) after rising 4.8% in February.  

The advance international trade data can be found in Haver's **USECON** database. The expectation figure is from the Action Economics Forecast Survey, which is in **AS1REPNA**.

- Advance reading reflects higher consumer goods & auto imports.
- Other imports also are strong, while exports rise modestly.
- Exports growth held back by fall in nonauto consumer & capital goods.

U.S. Goods Trade Deficit Deepens to Another Record in March as Imports Surge

Winnie Tapasanun

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U.S. house prices edged up 0.1% m/m in February after rises of 0.3% in January (+0.2% initially) and 0.4% in December (+0.5% previously), according to the Federal Housing Finance Agency (FHFA) House Price Index. The February HPI at 437.32 was 13.3% above a low of 386.15 in August 2022. The February m/m reading was the 11th straight monthly gain but the smallest since May 2024. The year-on-year rate of increase decelerated to 3.9% in February, the lowest since June 2023, from 5.0% in January; thus, having remained lower than 7.3% in February 2024 and well below a high of 18.7% in February 2022.

House prices rose m/m in February (vs. January) in six of the nine census divisions. These included New England (1.3% vs. 0.1%), East North Central (0.8% vs. 0.5%), Middle Atlantic (0.6% vs. 1.0%), South Atlantic (0.3% vs. -0.6%), West North Central (0.2% vs. 0.8%), and East South Central (0.1% vs. -0.03%). To the downside, house prices fell m/m in three census divisions in February (vs. January): Pacific (-0.8% vs. 0.6%), Mountain (-0.7% vs. -0.02%), and West South Central (-0.1% vs. 0.9%).

Year-on-year house prices continued to gain in February. However, the pace of increase decelerated y/y in February (vs. January) in all of the nine census divisions. These were Pacific (0.9% vs. 3.6%), West South Central (2.1% vs. 2.8%), South Atlantic (3.2% vs. 4.1%), Mountain (3.5% vs. 4.3%), East South Central (3.7% vs. 4.4%), West North Central (4.2% vs. 5.0%), New England (6.1% vs. 7.5%), East North Central (6.5% vs. 7.0%), and Middle Atlantic (7.0% vs. 8.5%).

The FHFA house price index is a weighted purchase-only index that measures average price changes in repeat sales of the same property. An associated quarterly index includes refinancing the same kind of properties. The indexes are based on transactions involving conforming conventional mortgages purchased or securitized by Fannie Mae or Freddie Mac. Only mortgage transactions on single-family properties are included.

The FHFA data are available in Haver’s **USECON** database.

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- Feb. FHFA HPI +0.1% m/m (+3.9% y/y, lowest since June ’23); +0.3% m/m (+5.0% y/y) in Jan.
- House prices up m/m in six of nine census divisions but down in Pacific, Mountain, and West South Central.
- House prices up y/y in all of the nine regions, w/ the highest rate in Middle Atlantic (7.0%) and the lowest rate in Pacific (0.9%).


U.S. FHFA House Price Growth Continues to Decelerate in February

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Retail gasoline prices for all grades slipped to an average $3.26 per gallon (-13.7% y/y) in the week ended April 28 after falling to $3.27 in the prior week. Prices were $3.37 per gallon to begin the month but remained above their low of $3.13 in the week of December 9. An earlier high was $3.79 in the week ending April 22, 2024. The all-time high of $5.11 occurred in the week ending June 13, 2022. The retail price for on-highway diesel fuel fell to $3.51 per gallon (-11.0% y/y) in the week of April 28 from $3.53 in the prior week. The latest diesel price stood well below a high of $4.63 in the week ending September 18, 2023 and a peak of $5.81 in the week ending June 20, 2022.

The price of West Texas Intermediate crude oil rose to $63.09 per barrel (-24.8% y/y) in the week ended April 25, after rising to $62.50 per barrel in the prior week. Prices remained below a high of $91.45 in the week of September 29, 2023. The cost of crude oil peaked at $120.46 in the week of June 10, 2022. Yesterday, the price was $62.05 per barrel. The price of European Brent crude oil edged up to $67.92 per barrel (-23.3% y/y) in the week of April 25 from $67.76 in the previous week. Prices remained well below a recent high of $95.61 in the week of September 29, 2023 and compared to a peak of $127.40 in the week of June 10, 2022. Yesterday the price was $66.13 per barrel.

Natural gas prices declined last week to an average $2.97 per mmbtu (+92.9% y/y) in the week ended April 25, after falling to $3.26/mmbtu in the prior week. Prices remained well above a low of $1.40/mmbtu in the week of March 15, 2024 but below their peak of $9.56 in the week of August 26, 2022. Yesterday’s price was $2.96/mmbtu.

Gasoline demand slipped 0.4% y/y in the four weeks ending April 18 following a 3.4% y/y decline in the prior four weeks. Demand for all petroleum products improved 0.4% y/y in the four weeks ending April 18 after a 1.7% y/y decline in the previous four-week period. Crude oil input to refineries fell 1.3% y/y in the four weeks ending April 18 after a 1.6% y/y decline in the prior four weeks.

Gasoline inventories rose 1.2% y/y in the week ending April 18 after a 2.9% y/y rise in the week ending April 11. Residual fuel oil inventories fell 19.0% y/y in the week of April 18, after a 14.0% y/y fall in the prior week. Crude oil inventories rose 2.6% y/y in the week of April 18 after a 1.8% y/y rise in the previous week.

Measured in days’ supply, gasoline inventories fell w/w to 26.4 days in the week of April 18 from 27.5 days in the prior. The recent low was 22.9 days in the week of November 8. The supply of crude oil also was unchanged w/w at 28.3 days in the week of April 18 for the third straight week, up from 24.6 days in the week of January 10 but remained below a high of 31.9 days in the week of March 3, 2023.

These data are reported by the Energy Information Administration of the U.S. Department of Energy. The price and supply/demand data can be found in Haver’s **WEEKLY** & **USENERGY** database.

- Gasoline prices ease.
- Crude oil prices rise.
- Natural gas costs decline further.

U.S. Energy Prices Are Mixed in Latest Week

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Job Openings & Labor Turnover Survey (Mar), FHFA HPI (Feb), Advance Trade & Inventories (Mar)

Other Depository Corporations Survey (Mar)

Government Finance Expenditure & Revenue (Mar)

International Trade (Mar), Industrial Turnover (Q1)

BRC Shop Price Inflation (Apr), Capital Issuance (Mar), Business Creations & Deaths (Q1)

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GDP Indicator, Retail Trade (Mar), Flash GDP (Q1), Intl Trade, Earnings & Labor Costs (Feb), Business Tendency (Apr/Q1)

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