Background on Sample Design and Response Rates Sample Clauses

Background on Sample Design and Response Rates. ‌ The MEPS is designed to produce estimates at the national and regional level over time for the civilian, noninstitutionalized population of the United States and some subpopulations of interest. The data in this public use file pertain to calendar year 2021. The data were collected in Rounds 1, 2, and 3 for MEPS Panel 26, Rounds 3, 4, and 5 for MEPS Panel 25, Rounds 5, 6 and 7 for MEPS Panel 24, and Rounds 7, 8 and 9 for MEPS Panel 23. As usual, Round 3 for a MEPS panel (this time for Panel 26) has been designed to overlap two calendar years, as illustrated below. However it may be noted that, with the fielding of a third and fourth panel in 2021 (as indicated in the data quality discussion in Section 3.1), the structure of other rounds has changed. Round 7 of Panel 23 and Round 5 of Panel 24 serve the same purpose. Thus, Round 7 of Panel 23 was fielded in 2020 and designed to collect data for the remainder of 2020 as well as the period of time from January 1, 2021 up through the date of the Round 7 interview. Round 5 of Panel 24 was designed for the same purpose, collecting data associated with both 2020 and 2021. This was done to permit all three of these panels to provide data for the FY 2021 MEPS data sets as well as those for FY 2020. For 2021, Panel 24 Round 6 represents the reference period from the date of the Round 6 interview back to January 1, 2021 (as discussed in the data quality subsection) and Panel 23 Round 8 represents the reference period from the date of the Round 8 interview back to January 1, 2021. The 2021 food security data were collected only in Round 8 of Panel 23, Round 6 of Panel 24, Round 4 of Panel 25, and Round 2 of Panel 26. A sample design feature shared by Panel 23, Panel 24, and Panel 25 involved the partitioning of the sample domain “Other” (serving as the catchall stratum and consisting mainly of households with “White” members) into two sample domains. This was done for the first time in Panel 16. The two domains distinguished between those households characterized as “complete” respondents to the NHIS; and those characterized as “partial completes.” NHIS “partial completes” typically have a lower response rate to MEPS and for all three MEPS panels the “partial” domain was sampled at a lower rate than the “complete” domain. This approach has served to reduce survey costs, since the “partials” tend to have higher costs in gaining survey participation, but has also increased sample variance due to the resulting increase...
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Background on Sample Design and Response Rates. The MEPS is designed to produce estimates at the national and regional level over time for the civilian, noninstitutionalized population of the United States and some subpopulations of interest. The MEPS data in this public use file pertain to calendar year 2016. The data were collected in Rounds 1, 2, and 3 for MEPS Panel 21 and Rounds 3, 4, and 5 for MEPS Panel 20. (Note that Round 3 for a MEPS panel is designed to overlap two calendar years, as illustrated below.) The 2016 food security data were collected only in Round 4 of Panel 20 and Round 2 of Panel 21. Jan Jan Dec Round 1 Round 2 Round 3 Round 4 Round 5 Panel 00 0000-0000 Round 1 Round 2 Round 3 2015 2016 2017 Jan Panel 20 2015-2016 A sample design feature shared by both Panel 20 and Panel 21 involved the partitioning of the sample domain “Other” (serving as the catchall stratum, and consisting mainly of households with “White” members) into two sample domains. This was done for the first time in Panel 16. The two domains were defined as: those households characterized as “complete” respondents to the NHIS; and those characterized as “partial completes.” NHIS “partial completes” typically have a lower response rate to MEPS and for both MEPS panels the “partial” domain was sampled at a lower rate than the “complete” domain. This approach served to reduce survey costs, since the “partials” tend to have higher costs in gaining survey participation, but increased sample variability due to the resulting increased variance in sampling rates.‌‌‌‌‌

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