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Texas Employment Forecast

April 21, 2017

Incorporating March employment growth of 1.5 percent and an increase in the March leading index into the Texas Employment Forecast suggests jobs will grow 2.4 percent this year (December/December), up from our previous forecast of 2.3 percent. Based on the forecast, 287,500 jobs will be added in the state this year, and employment in December 2017 will be 12.4 million (Chart 1).

The Dallas Fed’s Texas Leading Index increased moderately over the three months ending in March, rising 0.8 percent (Chart 2).

“Despite the modest growth in March, upward revisions to February job numbers put growth at a healthy 2.4 percent in the first quarter,” said Keith R. Phillips, Dallas Fed assistant vice president and senior economist. “This is only slightly below the 2.7 percent expansion we had in the second half of last year. The rise in the Texas Leading Index suggests that much of this strength will persist into the rest of 2017.” 

The components of the Texas Leading Index continued to be mostly positive over the three months through March. A strong increase in the national outlook, as measured by the U.S. leading index, led overall growth.

The Texas value of the dollar declined notably, helping state export competitiveness, while a decline in initial claims for unemployment insurance and rising permits to drill new oil and gas wells also bolstered the index. The largest drags on the index were moderate declines in help-wanted advertising and in average weekly hours worked in manufacturing.


Latest Texas Job Forecast

Leading Index Components Mixed

Next release: May 19, 2017


Methodology

The Dallas Fed’s Texas Employment Forecast projects job growth for the calendar year and is estimated as the 12-month change in payroll employment from December to December. The forecast reported above is a point estimate with 80 percent confidence bands; in other words, the true forecast lies within the bands on Chart 1 with 80 percent probability.

The Dallas Fed’s Texas employment forecasting model is based on a transfer function that utilizes past changes in state employment along with past changes in the Dallas Fed’s Texas Leading Index (TLI). Changes in the TLI have an impact on employment with a lead time of three months, and the effect dies out slowly over time. The regression coefficients on lagged changes in employment and the TLI are highly statistically significant, and the model as a whole has been accurate relative to other forecasts over the past two decades.

The forecasting model has been in use at the Dallas Fed since the early 1990s, and the employment forecast has been published in the Western Blue Chip Economic Forecast (WBCF) since 1994. Phillips and Lopez (2009) show that the model has been the most accurate in forecasting Texas job growth relative to other forecasters in the WBCF. In particular, the model had the lowest root mean squared error and has been the closest to the actual the most times (nine of the last 17 years) out of five forecasters that have consistently participated in the survey.

For more details about the model and its performance, see “An Evaluation of Real-Time Forecasting Performance Across 10 Western U.S. States,” by Keith R. Phillips and Joaquin Lopez, Journal of Economic and Social Measurement, vol. 34, no. 2–3, December 2009.

Contact Information
For more information about the Texas Employment Forecast, contact Keith Phillips at keith.r.phillips@dal.frb.org.
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