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How It's Constructed

Most of the data used in the weekly estimate come from private sources, following a similar methodology to the Weekly Economic Index (WEI), which provides a signal regarding the performance of the U.S. economy. The Texas employment estimate is derived from six data series all constructed for Texas:

  • Weekly initial jobless claims: Claims data come from the Texas Workforce Commission and are published by the U.S. Bureau of Labor Statistics.
  • Dallas Fed Mobility and Engagement Index (MEI) for Texas: The Texas MEI measures the deviation from normal mobility behaviors induced by COVID-19. It summarizes the information from seven variables based on geolocation data anonymously collected from a large sample of mobile devices to gain insight into the economic impact of the pandemic.
  • Debit/credit card consumer spending: Spending data come from Affinity Solutions, a market research firm, via, a joint effort of Harvard and Brown universities and the Bill and Melinda Gates Foundation. The spending information captures roughly 10 percent of all debit and credit card U.S. expenditures.

    In the TWEE, only Texas is shown. It overrepresents categories where cards are used more for purchase relative to total consumer spending. For example, restaurants are overrepresented, while motor vehicles are underrepresented. The data are reported relative to the average in January, and as a seven-day moving average.

  • Homebase hours worked: The index shows the percent change from January in hours worked by hourly employees at businesses that utilize Homebase software. Homebase is a scheduling and time tracking tool used by more than 100,000 small businesses and their hourly employees. Homebase customers in the U.S. primarily consist of restaurant, food and beverage, retail and services businesses and are largely individual owned/operator managed.

    This overrepresents the hardest-hit industries, which have tended to fall further and bounce back faster than the labor market as a whole. The reference period is the median in January for the same day of the week as that surveyed. It is a weekly average.

  • Dining traffic: The index shows seated diners at a sample of restaurants on the OpenTable reservations network across all of its channels: online reservations, phone reservations and walk-ins, as a percent of year-ago levels. It is shown as a seven-day moving average.
  • Rig count: The data show the weekly Baker Hughes drilling rig count for Texas.

We use principal component analysis—a way to discover and see patterns in datasets—to extract a baseline index that best describes the underlying co-movement of the six data series beginning in the first week of January 2020. We then link our baseline index to an economic indicator by pairing it with employment using a technique of temporal disaggregation called the Chow-Lin method of interpolation and extrapolation. The main goal of our temporal disaggregation is to create a new time series (TWEE) that is consistent with the low-frequency data (Texas monthly employment) while maintaining the short-term behavior of the higher-frequency indicator series (the baseline index).

The technique creates a weekly estimate of jobs that fills the gap between each monthly nonfarm employment release and, at the same time, is bounded by the monthly growth. In the period before traditional jobs data are released, the technique projects weekly growth based on previous job growth and the movement in the baseline index. Thus, the TWEE is consistent with previous employment growth and follows a current summary of real-time economic data for the estimation period.

TWEE Authors

The TWEE was developed by Jesus Cañas, senior business economist; Carlee Crocker, research analyst; and Keith Phillips, assistant vice president and senior economist at the Federal Reserve Bank of Dallas.