This data contains the results of a machine learning model used to estimate Non-Farm Payrolls from the ADP data and available before the date of the official release. The following is a sample:
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Period End Date |1/31/2020 |2/29/2020
Series ID |PAYEMS| PAYEMS
Model Name |ADP Model |ADP Model
Estimated Value |152211.3073 |152462.2995
Estimate Std. Error |89.928318 |89.977419
Survey Sample Size|||
Final Release |152271 |152544
Error |-59.692689 |-81.700543
Z Score |-0.663780779 |-0.908011631
The data contains the reference period end date, the central estimate, the standard error, the sample size, the final released comparable official statistic (when available and as revised by the issuer). The data is monthly and is revised whenever new data is available, which is approximately monthly and always before the official release date . The model is was trained on the entire history coincident of ADP and BLS releases and dynamically adapts itself with every new release. Data is seasonally adjusted. The units of measure match those of the officially reported data (thousands of persons).
This data is from a model constructed by Giller Investments (New Jersey), LLC (d/b/a Giller Investments). The results of the model may be used as an input to proprietary trading activity. Estimates of economic statistics may change after this data is published due to revisions by the Bureau of Labor Statistics. This data is not for distribution to third parties other than the individual named subscriber and if that subscriber is not a real person usage is restricted to one real person associated with the subscribing entity. Data from the Bureau of Labor Statistics is subject to revision by the BLS in the months following initial release. The data is intended to provide general contextual information about the state of the U.S. economy and any use of the data at the subscriber’s own risk. This data does not represent investment advice and should not be treated as such. Giller Investments reserves the right to publish this data from time-to-time via other channels and to withdraw it from publication at any time.
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| Heapery Attribution License | Heapery-Private |
| Category | Demographics |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Refunds not allowed |
