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5 Two U.S. Examples: SAIPE and LEHD
Pages 41-48

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From page 41...
... He noted that SAIPE is a reimbursable program run for the Department of Education that has been operating for about 20 years. In 2015, SAIPE was used to allocate about $16 billion to 13,000 school districts that had a large percentage of children in low-income families under Title I of the Elementary and Secondary Education Act of 1965.
From page 42...
... SAIPE focuses specifically on estimates of the number of children ages 5 to 17 from families below the poverty line. In terms of program goals, Basel explained that the purposes of SAIPE led to several required qualities for the program: (1)
From page 43...
... is the regulation that SAIPE follows regarding publication of statistical tabulations for tax data.2 Basel explained that the SAIPE model then combines the direct estimates from the ACS and this supplementary tax, SNAP, and SSI information using the small-area method developed in Fay and Herriot (1979) .3 He said that the program intends to implement a major update to the system in 2020 that will better geocode tax information to the subcounty level.
From page 44...
... SAIPE school district estimates are created by allocating county estimates to component districts based on the decennial census, IRS, and ACS data. He noted that there are three different kinds of school districts -- elementary school districts, secondary school districts, and unified school districts -- depending on what grades a student has, and this fact is relevant for metadata needs.
From page 45...
... The code that went into the development of the Quarterly Workforce Indicators is several hundred lines in length. His production team and his development team have assured him that it does not contain confidential information, and it is therefore releasable to the public.
From page 46...
... Sienkiewicz said that he wanted to focus next on the unique contributions of the LEHD Program experience to the workshop topic. The LEHD Program can generate on demand released data, which are created from the original data inputs.
From page 47...
... The Quarterly Workforce Indicators alone has 16 primary processes. Program staff know the size of the data going in and the size of the data coming out, although they are still working on tracking the intermediate data file sizes.
From page 48...
... A National Research Council panel was charged with advis­ng the i secretaries of commerce and education on whether these numbers should be used.5 As a member of that panel, he noted that it examined the program in depth for a long time and concluded that the data were not of sufficient quality to be used because the confidence intervals were enormous. If one thinks about the allocation of funds based on that, it was problematic.


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