Choosing PRPL Records for Your Research Question Sample Clauses

Choosing PRPL Records for Your Research Question. In order to produce estimates from the data in this file, researchers must use the person (or family) level weights released in either of two previously released PUFs, HC-151 or HC-157. Researchers must consult the documentation for these PUFs for guidance on creating nationally representative estimates for different time periods. Note that if there are multiple records per person (DUPERSID) when you merge on weights, you will double count some people, and your estimates will not be nationally representative. There are two solutions: select only one record per person, or aggregate information across PRPL records. How you develop your analytical file depends on your research question. The PRPL file is designed to help answer a wide variety of research questions. AHRQ cannot anticipate all these questions, so this section provides examples of how to use the PRPL file for four research questions. Select the Panel 18 Round 3 and Panel 17 Round 5 records with PRIVCAT>0 and MSUPINSX ne 1 and EVALCOVR=1. Count the number of records for each person (DUPERSID). Create one person-level record for each DUPERSID that has the number of plans (PRPL records). Merge the count variable onto PUF HC-157 and use weights, strata, and PSUs to create nationally representative estimates. Select the Panel 18 Round 3 and Panel 17 Round 5 records with DENTLINS=1 and PRIVCAT in (1, 4, 5) and EVALCOVR=1. Among these records, select one record for each person (DUPERSID). Merge each record onto PUF HC-157 and use weights, strata, and PSUs to create nationally representative estimates. Select the Panel 18 Round 1 and Panel 17 Round 3 records with PRIVCAT in (2, 3, 99) and EVALCOVR=1. Select one record for each policyholder-establishment pair (EPRSIDX). To have a positive weight for the final count, we recommend choosing the covered person record of the policyholder (PHOLDER=1), unless the policyholder is deceased (DECPHLDR=1), in which case then the researcher should choose a different covered person’s record. Merge each record onto PUF HC-151 and use weights, strata, and PSUs to create nationally representative estimates. Select the PRPL records for policyholders of employment-related insurance at the time of the first interview [(Panel 18 Round 1 or Panel 17 Round 3) and PHOLDER=1 and PRIVCAT=1 and EVALCOVR=1]. From the 2013 JOBS file, PUF HC-158, select the records with jobs from which the person retired (SUBTYPE=6 or RETIRJOB=1 or YLEFT=2 or YNOBUSN=2 or WHY_LEFT=3). Persons in Panel...
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Choosing PRPL Records for Your Research Question. ‌ In order to produce estimates from the data in this file, researchers must use the person-level or family-level weights released in the Consolidated PUF (HC-233). Researchers must consult the documentation for this PUF for guidance on creating nationally representative estimates for different time periods. Note that if there are multiple records per person (DUPERSID) when you merge on weights, you will double count some people, and your estimates will not be nationally representative. There are two solutions: select only one record per person, or aggregate information across PRPL records. Users will have additional considerations when linking the PRPL file to obtain the characteristics of jobs for Panel 23, Panel 24, and Panel 25 respondents. This is because a job may have ended on or before 2020 and therefore not exist in 2021 Jobs PUF (HC-227). Consequently, a job may only exist in previous releases of the Jobs PUF as follows: • 2018 Jobs PUF (HC-203). Jobs that ended on or before 2018 for Panel 23 • 2019 Jobs PUF (HC-211). Jobs that ended on or before 2019 for Panel 23 and Panel 24 • 2020 Jobs PUF (HC-218). Jobs that ended on or before 2020 for Panel 23, Panel 24, and Panel 25 Finally, users may note changes to distributions of some variables (e.g. monthly status variables, discussed below) that are not analogous to distributions in previous PRPL releases. These differences are due both to the addition of Panel 23 Round 8 and Round 9 as well as attrition from the sample in certain panel-rounds most impacted by COVID-19. Users should refer to the “Survey Sample Information” and the “Using MEPS Data for Trend Analysis” sections of the HC-233 documentation regarding modifications to sampling, collection, and trends in other federal samples due to COVID-19. How you develop your analytical file depends on your research question as well as considerations noted above. The PRPL file is designed to help answer a wide variety of research questions. AHRQ cannot anticipate all these questions, so this section provides examples of how to use the PRPL file for four research questions. Select the Panel 26 Round 3, Panel 25 Round 5, Panel 24 Round 7, and Panel 23 Round 9 records with PrivateCat>0 and MSUPINSX ne 1 and EVALCOVR=1. Count the number of records for each person (DUPERSID). Create one person-level record for each DUPERSID that has the number of plans (PRPL records). Merge the count variable onto PUF HC-233 and use weights, strata, and PSUs to create nation...
Sample 1

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