Search Tips
- Keyword Search – Use the keyword search field to type your own search terms.
- Resource Type – Use the resource type dropdown to find the type of resource that you want (e.g. article, video, report, file, link, study, etc.).
- Resource Topic – Use the resource topic dropdown to find major themes of the resource that you want (e.g. Women Veterans, Homelessness, Wages). You can select multiple topics from the dropdown.
- Resource Tags – Use the resource tag dropdown to search the resource for keyword or term associated with the resource.
- If you are searching using an acronym, try a second search with the acronym spelled out. For example, if you are searching for resources related to the Davis-Bacon Act, try searching "Davis-Bacon Act" as well as "DBA".
- For more specific results, use quotation marks around phrases.
- For more general results, remove quotation marks to search for each word individually. For example, minimum wage will return all documents that have either the word minimum or the word wage in the description, while “minimum wage” will limit results to those containing that phrase.
Resource Library
The brief uses data from site visits to 8 of the 20 Linking to Employment Activities Pre-release (LEAP) sites to explore the role of Internet access in pre-release employment services as well as the resources, staffing, and infrastructure needed to establish Internet access for a jail-based American Job Center (AJC).
The brief discusses how Linking to Employment Activities Pre-Release (LEAP) workforce development staff worked with jail administrators to gain access to jail space and their strategies for scheduling services inside a jail-based American Job Center (AJC). It relies on data gathered through site visits to eight LEAP sites during the planning period for LEAP, as well as tours of all 20 jail-based AJCs being implemented by grantees.
Drawing on data from site visits to seven Linking to Employment Activities Pre-Release (LEAP) sites, the brief explores their approach to staffing jail-based American Job Centers (AJCs), including the varying staffing configurations, key staff qualifications, hiring and onboarding processes, and strategies to expedite hiring based on lessons
The brief uses data from site visits to 8 of the 20 Linking to Employment Activities Pre-release (LEAP) sites to explore the factors that enabled them to complete these activities more quickly than the time allotted. While an expedited launch does not necessarily imply that a grantee will have stronger overall performance, an analysis of grantees that began enrollment quickly provides insight into the conditions present and the strategies used to achieve faster, and perhaps more efficient, implementation.
Under contract from the U.S. Department of Labor (DOL), Abt Associates conducted a survey of 8,503 workers on issues related to employee classification; i.e., whether those who by law are employees are being treated as self-employed (and vice versa). In addition, the study conducted 17 semi-structured interviews with employers and employer representatives. The report describes the survey which suggests that workers have an imperfect understanding of the implications of employment status.
The report describes the methods used by Abt Associates in conducting the Worker Classification Knowledge Survey for the Department of Labor. The Worker Classification Knowledge Survey is a dual-frame telephone survey that measures American workers’ knowledge about their current job classification and their knowledge about the rights and benefits associated with their job status. Abt conducted this study in support of the U.S.
The document provides information related to the public use files (PUFs) of the Worker Classification Knowledge Survey. (Beyond what is contained in the technical report (Daley et al. 2016); no information from the semi-structured interviews is being released.) The survey instruments are included as Appendix A of the Methodology Report, and are also included in this document as Appendix B. The balance of this document proceeds as follows. Section 2 discusses steps to prevent disclosure. Section 3 provides sample code for analyzing the data using SAS.
Workers who meet the legal definition of employees receive statutory protections such as minimum wage, overtime pay, and Unemployment Insurance coverage. Workers defined as self-employed forgo these protections as well as other employer-provided benefits such as health insurance and retirement plans. In order for workers to make informed choices between employment and self-employment, they need to understand how those rights and benefits vary with classification (i.e., employee vs. self-employed).
There is ongoing policy debate about employee classification; that is, who the law says should be classified as an employee and who should be classified as self-employed. But do workers themselves understand their current status? To explore whether workers understand their current status, a recent Abt Associates survey asked 8,503 workers for their (1) work status (employee or self-employed) and (2) what earnings documentation for tax purposes they received from their main job (W-2 or 1099-MISC). Earnings documentation alone is not definitive as to classification.
The report compares MSHA Part 50 program data to mining-related claims filed with the Illinois Workers’ Compensation Commission (IWCC). Illinois was chosen because it is an important mining state which collects substantial data on workers’ compensation claims. The research group at the University of Illinois at Chicago, School of Public Health has full access to this data set and obtained access to Illinois MSHA Part 50 data in order to perform this analysis.