Unique ID: 2015113
Division: | Office of Information and Regulatory Affairs |
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Issue Date: | February 13th 2019 |
Last modified: | February 22nd 2019 |
Cost: FREE
Using administrative data to augment compensation surveys
Using administrative data to augment compensation surveys
This project matches national compensation survey (NCS) data with publicly available Form 5500 filings to augment information not collected as part of the NCS, to compare information collected in both sources, and to evaluate whether respondent burden can be reduced through the use of Form 5500 records. Additionally, we are now in the initial stages of trying to apply the matching approaches we have developed to new NCS Survey data as it is collected.
Project Objective:
Pilot intended to go to production to supplement existing data
Project Outcomes:
Improved data quality; reduced respondent burden; more efficient use of program resources.
Statistical Area
Project Sources
Type Of Institution: | National statistical office |
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Big Data Source: | Other |
Region: | North America |
Country Area: | United States |
Id Country Regional: | country |
Partnerships
Other Partners: | Government institute |
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Accessing Data
Data Access Rights: | Broader access rights |
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Intermediary Comments: | Currently our partner is funding a contractor to support the matching effort. Going forward we anticipate future matching can be performed internally using the algorithms being developed by the contractor. |
Data Access Comments: | The confidential data under this project is held by U.S. Bureau of Labor Statistics. Because we are matching with publicly available data, we can use the matched product very broadly. |
Data Coverage
Data Coverage: | Only a portion of all data |
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Coverage Geo Pop: | Whole country / high % of market |
Cost Implication: | Free |
Coverage Geo Comments: | Coverage limited only by match rate. |
Coverage Period: | 2010 |
Project Details
Frequency Comments: | There is not complete matching available. |
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Data Quality
Quality Framework: | Quality of processing/throughput |
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Quality Aspects Evaluated: | Privacy and Security, Completeness, Usability, Time Factors, Accuracy, including selectivity |
Validation Comments: | As the matched data are used in production, they will be exposed to the data validation processes that are part of the national compensation survey's design. |
Quality Framework Comments: | Our research in this project has been focused on the extent and quality of the matches between the data sources. |
Methodology
Methods Used: | Traditional statistical methods |
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Technologies
Technologies: | Other |
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Technologies Comments: | Algorithms developed using traditional statistical software |
Other
Income Level: | High-income |
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Iso: | US |
Timeframe To Produce Indicator: | NA |
Frequency Comments: | There is not complete matching available. |
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