JOLTS Experimental State Estimates
The Job Openings and Labor Turnover Survey (JOLTS) data are based on a national sample of approximately 16,000 establishments.
These data are used by policymakers to better understand the current state of the U.S. economy, and by academics, industry
experts, economists, and others to understand the dynamic activity of businesses in the economy that lead to aggregate employment
changes. While the sample size is designed to support estimates for major industries at the national level and total nonfarm
estimates at the regional level, the Bureau of Labor Statistics has been researching the possibility of leveraging the sample to
produce model assisted estimates at the state total nonfarm level. These estimates are experimental. We encourage data users to
review these estimates and provide input on both the technical aspects of the models and on the usability of the resulting data.
The experimental data are developed using two composite models. These models are designated as:
- Composite Regional model: this model is used to produce the initial monthly state estimates.
- Composite Synthetic model: this model is used to refine the state estimates as part of annual processing—by
incorporating data from the Quarterly Census of Employment and Wages (QCEW) that were not available when the initial
estimates were produced.
JOLTS Experimental State Estimates Table A contains both models as a 3-month
moving average. The data are presented as a combination of Composite Regional (CompReg) and Composite Synthetic (CompSyn) estimates.
More specifically, table A includes data from the CompSyn model from February 2001 to December 2018 with data from the CompReg model
from January 2019 to June 2019. Please note the CompSyn modeled data will be updated with a full year of data annually going forward
following the release of 12 months of CompReg data.
In this release of JOLTS Experimental State Estimates, we modified data inputs to use the JOLTS published regional aligned data rather
than unaligned data. Aligned data have been adjusted to be more consistent with the employment change published by the Current Employment
Statistics survey. This adjustment is consistent with estimating procedures for producing the current official national JOLTS estimates.
When comparing the estimates released on May 24th to this release of JOLTS Experimental State Estimates, a level shift in the estimates
may be observed in states with relatively small employment; however, the trend will still be consistent.
BLS plans to update these data on a quarterly basis while assessing data user input on the models and on the utility of these
data. We encourage data users to provide input on these data at firstname.lastname@example.org.
Both models take the following form:
- J is a JOLTS data element: job openings; hires; total separations; quits; layoffs and discharges
- w1 is a weight between 0 and 1 and w2=1−w1
- D is a data-based estimate, as long as there are 5 or more sample units
- M is a modeled estimate, either using a regional approach or a synthetic approach (both are described below)
- Estimates of J are developed at the North American Industry Classification System (NAICS) supersector level.
- Once the NAICS supersector estimates are developed for the region, using either model, the sum of the estimated
state levels for the region are ratio adjusted to the regional level of the JOLTS data element.
- Within each state, the ratio adjusted values of J are then aggregated across NAICS supersectors to the total nonfarm level.
Composite Regional Model
- MR=regional_rate×state_employment. That is, the regional rate is multiplied by the state employment to get the state
level of the JOLTS data item.
Composite Synthetic Model
- MS=a synthetic model that distributes hires to all businesses that increase employment, and separations to all businesses
that lose employment, such that the hires and separations equal regional totals. All other JOLTS data elements are then modeled
relative to these data elements:
- Synthetic job openings are a function of the ratio of industry-regional job openings and hires. This ratio of published job openings
to hires is applied to model hires estimates to derive model job opening estimates. Ratio-adjusting the JOLTS model hires and separations
to the regional published JOLTS hires and separations estimates ensures that the JOLTS published churn rate is fully accounted for.
- Synthetic quits and layoffs and discharges are a function of the relative percentage of the individual components of total separations
at the industry-regional level. The relative percentages of each component is applied to the model separations estimates to derive model
quits and layoffs and discharges.
A more complete description of both models can be found on the JOLTS Experimental State Estimates Methodology page.
Some common questions and answers can be found on our Frequently Asked Questions page.
Last Modified Date: September 25, 2019