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Data in Action: Real-World Case Studies and Partnerships Driving Policy Change

Saturday, November 15, 3:30 to 5:00pm, Property: Grand Hyatt Seattle, Floor: 1st Floor/Lobby Level, Room: Princess 1

Session Submission Type: Panel

Abstract

This panel includes three papers reporting analyses leveraging statewide longitudinal data systems (SLDS). The session will provide an overview of the SLDS systems, the partnerships forged to access data, and insights for policy gained from analyses. Each paper details studies that were developed in close partnership with state and local leaders. Drawing on linked, longitudinal administrative data, these studies offer evidence for policy change in three critical areas related to supporting pathways and retention in the care economy, determining the impact of stackable credentials, and targeting resources for reemployment.


The first paper (Obadan, Chuka-Maduji, & Conde Oviedo) uses restricted data from the New Jersey Statewide Data System (NJSDS) supplemented with public use data to propose a holistic framework for New Jersey to quantitatively examine the size and characteristics of the paid formal care economy, identify potential disparities in employment outcomes in New Jersey and highlight opportunities for upskilling. This research sets the stage for policy efforts toward properly valuing the social and economic contribution of those in the care economy and addressing challenges faced by this sector and offer practical policy solutions to improving care workforce in New Jersey.


The second paper (Lenard & Wright-Kim) leverages administrative postsecondary-to-workforce data from NJSDS to describe the profile of credential stackers and the effects of stacking across subgroups, progressions, and educational pathways. To estimate these effects, the authors use panel data approaches drawn from canonical work in the returns to credentials literature and makes two key contributions. First, their study situates credential stacking within a labor market that is nearly universally urban and interacts dynamically with one of the world’s largest and most economically vibrant metropolitan areas. Second, the study builds on recent credential stacking research by examining potential differential labor-market impacts by stacking type. The authors report empirically large returns to credential stacking, especially among female, nonwhite, and healthcare stackers.


The final paper (McQuown, Goerge, & Tran) outlines methods developed in partnership with the Illinois Department of Employment Security (IDES) to build reemployment indicators using data sourced from the unemployment insurance (UI) system. By utilizing linked longitudinal administrative datasets of quarterly wages and unemployment insurance claims, state agencies and research partners can develop measures of economic health such as earnings trajectories and stability of employment. They can also develop measures of claimants’ experience within the UI system such as average duration on regular UI and first payment time-lapse. These measures are rooted in existing methods and datasets used for federal reporting but extend them to enable timelier and more geographically- and demographically focused analyses that better support the needs of decision-makers.


Together, these papers offer nuanced, evidence-based insights that deepen our understanding of how to leverage statewide longitudinal data systems to contribute critical knowledge to inform the delivery of policies that support successful outcomes for all.

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