Tuesday, October 22, 2019 1:00 PM ~ 2:30 PM ET
Attendees will learn about the Employment and Training Administration's (ETA) statistical adjustment model and discuss approaches to produce local area statistical models that align with the state-level model framework.
The Workforce Innovation and Opportunity Act (WIOA) requires the use of a statistical adjustment model when establishing negotiated levels of performance. In coordination with The Department of Education, ETA developed a statistical model framework to produce estimates to be used in performance negotiations and state performance assessment. States will need to develop local versions of the statistical adjustment model, within this framework, in order to effectively conduct negotiations at the local level.
- Provide an overview of the statistical methodology that is used in the statistical adjustment model and discuss options to consider in adapting that framework to a local-area model;
- Discuss the participant characteristics necessary for the statistical adjustment model, as well as explain the code to pull that information from each state’s performance record submission using the Participant Individual Record Layout (PIRL) (as described in the Statistical Model Summary, Table 1. Explanatory Variables on Participant Characteristics);
- Discuss approaches to collect and incorporate economic data into the local statistical adjustment model (as described in the Statistical Model Summary, Table 2. Explanatory Variables on Economic Conditions); and
- Show how the model estimate, participant characteristic, and economic condition data are used and fit into the program year performance cycle (i.e., from negotiations to performance assessment).
ETA staff will give state representatives an opportunity to discuss existing or potential approaches to a local-area statistical adjustment model and share methods of negotiating at the local level in the most efficient way.
Christina Eckenroth, Workforce Analyst, Office of Policy Development and Research, U.S. Department of Labor, Employment and Training Administration
Kevin Reuss, Economist, Office of Policy Development and Research, U.S. Department of Labor, Employment and Training Administration
Cesar Acevedo, Workforce Analyst, U.S. Department of Labor, Employment and Training Administration
Scott Wheeler, Performance Consultant, Maher & Maher