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6 Furthering Coordination for Data Collection, Research, and Modeling
Pages 165-172

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From page 165...
... There is also a need for greater involvement of the private sector and academic research community in retirement-income-related data collection, analysis, and modeling. Such involvement expands the community of people who can contribute to improved databases and behavioral analyses that are most relevant for policy and to the development and evaluation of projection models that appropriately use data and research results.
From page 166...
... More generally, having a large number of agencies involved in retirementincome-related data collection and analysis increases the likelihood that there will be both unnecessary overlap and duplication of effort and significant gaps in needed information. We conclude that more attention should be given to interagency coordination to improve the quality and utility of data and research knowledge, to identify priority areas in which more work is needed, and, conversely, to identify areas in which overlap could be reduced.
From page 167...
... Recently, a combination of circumstances led agencies within HHS to develop an integrated design for health-related data collection. The circumstances included the glaring weaknesses in relevant data and research knowledge that became apparent in the 1993-1994 health care reform debate, constrained budgets, and the pressures for departmental restructuring and agency cooperation from the "reinventing government" initiative (Hunter and Arnett, 1996~.
From page 168...
... A priority for the task force should be to review the major government employer data collection systems and to analyze the implications of alternative ways of building on their strengths in terms of both costs and benefits. For example, what are the prospects and what would be the costs of making the DOL/ PWBA Form 5500 data series more useful for research purposes and linking it to the BLS Employee Benefits Survey (EBS)
From page 169...
... We do not make detailed recommendations about what could or should be done to each survey (see our general recommendations in Chapter 4~; rather we stress the importance of periodically bringing together the sponsor agencies and principal investigators to conduct broad oversight reviews. These reviews should seek to identify the best data collection practices that should be universally adopted, to consider core question content that would facilitate cross-survey and pooled data analyses, and to consider modules to add and delete that could make the surveys more useful for analysis of retirement income security while not compromising their other goals.
From page 170...
... Members of the group should have input to the employer data collection task force and the panel survey review group regarding the content of specific surveys, such as HAS/AHEAD, to ensure that policy-relevant variables are included in formats that are tractable for new projection models. Such a users' group should include academic and private sector analysts with relevant interest and experience in projection modeling, as well as agency staff.
From page 171...
... In this area, it is particularly important to involve private sector representatives as well as academic researchers in issues of survey design, content, and data collection procedures. Success in obtaining needed employer data is unlikely if employers themselves are not consulted about feasibility issues and if they are not made aware of the value of improved data, not only for government planning and policy analysis, but also for use by the private sector.
From page 172...
... For employer data collection systems, this model should also involve private sector representatives as well as academic researchers in design and content issues.


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