Products & Research
The proliferation of statewide integrated data systems linking data across state agencies provides opportunities to examine the efficacy of state programs. Since all states run Unemployment Insurance (UI) compensation programs, wage data collected from employers can be a valuable outcome measure. However, research using a state’s UI wage records can introduce biased results if an analyst is not careful. This paper examines the different methods for computing annual wages using UI wage records and attempts to identify the method that yields the lowest bias.
Applied Data Analytics Course Papers and Presentations
From April to July 2021, New Jersey participated in the Coleridge Initiative’s Applied Data Analytics virtual course. Researchers and state agency staff from within New Jersey and other states participated in the course to gain real-world experience in data analytics through big data tools such as SQL and R, linking administrative records, and developing data visualizations.
The practical components of the course utilized data from New Jersey’s Office of the Secretary of Higher Education and Department of Labor and Workforce Development. These data included postsecondary enrollments and completions, and data on wages and employer. The class culminated in several small groups developing working papers and presentations based on analyses conducted for the class. Those papers are presented here in their original format, and cover the following topics:
Team 4: It’s About Time: The Winners and Losers in the Race to Graduate Our Students
There are several limitations to these analyses that are important to note. These analyses were limited to data from New Jersey and excludes data from those who move out of the state for education or employment. Results should be interpreted with caution as estimates do not include graduates who are working out-of-state. Additionally, state data sources may be limited in scope. For higher education, data are presented for graduates of New Jersey colleges and universities participating in the SURE data collection, which are predominately public institutions. Employment is measured using state Unemployment Insurance (UI) wage records, which capture the employment experiences of most in-state employees, including all employees of private firms participating in the UI program, but excludes non-participating federal, military, agricultural, and self-employed workers.
Despite these limitations, these working papers present early case studies of the important lessons that can be gained from analyzing longitudinal administrative data. Future opportunities to analyze this data will include a small grant program to external researchers, an internship program, and future iterations of the ADA course. New Jersey looks forward to promoting access to this data and its use to strengthen the foundation of evidence-based policymaking in the state.
Readers should note that each of these products are either a working paper or presentation and is released to inform interested parties of research and to encourage discussion. Working papers represent research that is in progress. The views expressed are those of the authors and are not necessarily meant to represent the position or opinions of the New Jersey Education to Earnings Data System, its agency partners, the State of New Jersey, Rutgers University, nor the official position of any staff members. The authors accept responsibility for any errors.
This report describes how scholars used data from the New Jersey Motor Vehicle Com- mission to link 82% of secondary school exiters (18 or older) between 2011 and 2015 with the State of New Jersey’s higher education enrollment and Unemployment Insurance wage data
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New Jersey Office of the Secretary of Higher Education
New Jersey OfficeDepartmentof Education
New Jersey Department of Labor and WorkforceDevelopment
© 2020 New Jersey’s Education to Earnings Data System
State Data Policy Internship Program
The State of New Jersey and its research partner, the John J. Heldrich Center for Workforce Development at Rutgers University, have multiple openings for its inaugural State Data Policy Internship Program. This program is designed to provide practical experiences to graduate students interested in policy research integrating principles of computer science, information science, inferential statistics, and public policy. The positions will have primary responsibilities for the continued development of the New Jersey Education to Earnings Data System (NJEEDS). Interns will be assigned to work with one of three state agencies to answer research and policy questions relative to that agency using data in NJEEDS. There may be opportunities for the intern to author (or co-author), present, or publish using data from NJEEDS. Information about NJEEDS can be found at https://www.njeeds.org.
NJEEDS is the State of New Jersey’s centralized longitudinal data system and was developed in 2012 through a grant from the U.S. Department of Education. Its core mission is to create a single place where de-identified state education, postsecondary education, employment, and workforce longitudinal data are safely made available to education and training stakeholders and the public for analysis to improve governance efforts, policymaking, and the performance of education and workforce initiatives. Four New Jersey agencies contribute data and resources to the data system. They include:
- New Jersey Department of Education (NJDOE),
- New Jersey Higher Education Student Assistance Authority (HESAA),
- New Jersey Department of Labor and Workforce Development (NJDOL), and
- New Jersey Office of the Secretary of Higher Education (OSHE).
Since 2017, NJEEDS has been hosted at the Heldrich Center for Workforce Development. While the system has been operational, it has not yet been open to public researchers. In order to better understand how the data system can serve the community and to meet the demand for using the data, the data owners have authorized an internship and training program to higher education students to conduct research for the benefit of state agencies and educational and workforce programs. The grant program is funded by the U.S. Department of Education, Institute of Education Sciences’ Statewide Longitudinal Data Systems Grant (PR/Award #: R372A200035).
Job responsibilities include:
- Processing, cleaning, and verifying the integrity of data used for analysis;
- Utilize predictive analytics, data mining, and/or inferential statistics using data science methods;
- Produce timely and high-quality written, tabular, and visual materials for research reports and presentations under the supervision of senior research staff;
- Assist in the execution of research activities, studies, and projects, including conducting and writing literature reviews, and undertaking data collection and analysis in the area of postsecondary education policy and workforce development;
- Prepare print documents, web page content, and/or other products and graphics using Word, Excel, PowerPoint, and/or other software packages.
This position is open to students at the graduate level attending any higher education institution that is authorized for operation in the State of New Jersey. The ideal candidate should have the following skills and qualifications:
- Very strong writing and analytical skills;
- Possess mature, articulate, and tactful communication skills;
- Interest in workforce development or postsecondary education policy;
- High personal motivation, self-management, and detail orientation, and the ability to take responsibility in meeting deadlines and making progress without frequent supervision;
- Motivation to engage in and manage a wide array of intellectual and logistical work, ranging from preparing literature reviews to analyzing data and drafting research papers; and
- Experience in a computer programming and/or a statistical programming (SPSS, Stata, SAS, R, SQL, Python, etc.) language.
In addition, applicants must be available to work between May 29, 2023 and August 25, 2023 and attend the Applied Data Analytics course as a part of their responsibilities. The training is provided for free to those who are hired as an intern (valued at up to $4,000). Students will be required to present the results of their internship during a stakeholder briefing in September 2023. Papers will be posted on the NJEEDS website.
Students are asked to submit a cover letter, résumé, and graduate school transcript.
The hourly pay is commensurate with experience. These positions are anticipated to be around 30 hours per week. The successful candidate should be available to meet at the Heldrich Center located at 30 Livingston Avenue in New Brunswick, New Jersey. Partial telework may be available depending on the applicant’s location within the state.
All offers at Rutgers University are subject to pre-employment conditions that must be met. For this position, you will need to successfully clear a background check investigation and provide proof that you are fully vaccinated and have received a booster (where eligible) against COVID-19 prior to beginning employment unless the University has granted you a medical or religious exemption.
Important Dates and Deadlines
|March 10, 2023 at 5pm ET||Application deadline.|
|March 31, 2023||Intern notifications.|
|May 29, 2023||Internship begins.|
|May 29, 2023, 1pm-3pm ET||Mandatory Orientation|
|May 29-June 16, 2023||Applied Data Analytics Training– Introduction to R (three days/week)|
|June 19 - August 18, 2023||Applied Data Analytics Course - Data Analysis (Wednesdays 2 - 4pm)|
|August 25, 2023||Internship ends.|
|September 22, 2023||Tentative Date for Stakeholder Briefing|
Submit your application online.
Questions and Answers
Q1. If I am on a Visa can I apply for the internship program? I know that I may not earn money, but can I get the experience and the credit for the work.
If applicants are non-Rutgers F-1 students, contact the international office at your current institution. They can confirm eligibility and requirements to participate in the internship for pay. In general, Rutgers cannot sponsor most other visa statuses from another University to work for pay at Rutgers in this internship program. For students in other visa categories not eligible to work, we will work with your native institution to support the internship to meet academic requirements or professional development.
Q2. How many rounds of interviews will there be?
The application review will be followed by a screening call with an NJEEDS staff member, then one round of interviews with staff at state agency partners. If there are any changes due to feedback from our partner agencies, we will send an email to all candidates and post the information on the NJEEDS website.
Q3. Is there a preferred program for coding/data analysis i.e. R, Stata, SPSS, etc.?
We do not have any preference on coding or data analysis experience. We want candidates to have general interest in quantitative data. The selected interns will be trained in R and Structured Query Language.
Q4. The internship is listed as 20 hours per week. Will interns be allowed to work full-time/more hours over the summer?
The internship positions have been budgeted for 20 hours per week. If you are an active full- time student in the Rutgers system, you cannot work over 19.5 hours per week over the summer if you are taking classes.
Q5. How does the hiring procedure work?
Candidates are required to apply through the application link on the NJEEDS website. If for any reason you are unable to attach all of the supplemental information you would like, you can send those materials to email@example.com. Next, there will be an application screening done by the NJEEDS staff and the partner agency data stewards. Candidates are asked to include in their cover letter their preference for which agency they would like to work with. Following the application screening, candidates will interview with agency staff. The application is currently posted on the Rutgers job posting website as well as on our NJEEDS website. Once an offer is made, the additional steps such as the vaccine requirements and background checks are started. We hope offers will be made by April 15, then the necessary paperwork will need to be completed in order to get the new interns into the system by June 1.
Q6. Upon completion of the internship, is there an opportunity for an extension or a full-time position?
There are always opportunities. The Heldrich Center will be posting Research Assistant positions that will work with NJEEDS data soon; the timing does not align for this internship, but there may be similar postings in the future. The Research Assistants will be participating in the Applied Data Analytics class and gaining experience and networking within state agencies. There are no guarantees, but interns may be able to get an extension and get involved in short term projects.
New Jersey Office of the Secretary of Higher Education
New Jersey Department of Education
New Jersey Department of Labor and Workforce Development
New Jersey Higher Education Student Assistance Authority
© 2021 New Jersey’s Education to Earnings Data System