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Following up on issue #25 regarding missing total contributions in the 2019 file, I think I may have identified a broader version of the same issue affecting the CORE-PC files across the 2013-2019 range. I wanted to flag it here in case it is useful and to ask for guidance on how to handle it.
Computing percent non-missing by variable by year across the full panel, I find that a consistent set of summary financial variables shows near-complete missingness for 2014-2018, with partial coverage in 2013 (~67.8%) and 2019 (~41.4%), and full coverage in 2012 and 2020-2022. The data dictionary specifies 2012-2022 coverage for all of these variables, so the missingness appears to be unintended. The affected variables include:
Part X balance sheet totals: F9_10_ASSET_TOT_EOY, F9_10_LIAB_TOT_EOY, F9_10_NAFB_TOT_EOY, F9_10_LIAB_MTG_NOTE_EOY, F9_10_LIAB_TAX_EXEMPT_BOND_EOY, F9_10_NAFB_EARNING_RETAINED_EOY, F9_10_ASSET_LAND_BLDG_DEPREC
The exact year-by-year percent non-missing for a representative variable (F9_10_ASSET_TOT_EOY) is:
2012: 99.8%
2013: 67.8%
2014: 0.13%
2015: 0.28%
2016: 0.70%
2017: 2.13%
2018: 8.85%
2019: 41.4%
2020: 100%
2021: 100%
2022: 100%
These figures are from a study-specific panel restricted to human services organizations, so the exact percentages may vary slightly from the full CORE-PC files, though the pattern holds. All other affected variables follow this exact same pattern. The component line items—individual balance sheet lines, individual expense lines, individual revenue lines—are fully populated in all years, which suggests the issue is specific to the summary totals rather than the underlying source data.
Questions:
Is this a known issue, and if so is there a corrected version of the 2013-2019 files available?
For cases where the summary totals are missing but the detailed component variables are available, would it be reasonable to reconstruct the totals by summing the components? I want to be careful here since some of the component variables may themselves have missingness in certain cases, which could lead to understated totals rather than true NAs. I am also not sure all the component variables are available in every year.
Are there other approaches you would recommend for handling this in a longitudinal study spanning 2012-2022?
Thank you so much for your work maintaining these files @lecy and @Thiyaghessan. They are an invaluable resource for nonprofit research and I really appreciate your responsiveness on issues like this.
Hi,
Following up on issue #25 regarding missing total contributions in the 2019 file, I think I may have identified a broader version of the same issue affecting the CORE-PC files across the 2013-2019 range. I wanted to flag it here in case it is useful and to ask for guidance on how to handle it.
Computing percent non-missing by variable by year across the full panel, I find that a consistent set of summary financial variables shows near-complete missingness for 2014-2018, with partial coverage in 2013 (~67.8%) and 2019 (~41.4%), and full coverage in 2012 and 2020-2022. The data dictionary specifies 2012-2022 coverage for all of these variables, so the missingness appears to be unintended. The affected variables include:
The exact year-by-year percent non-missing for a representative variable (F9_10_ASSET_TOT_EOY) is:
These figures are from a study-specific panel restricted to human services organizations, so the exact percentages may vary slightly from the full CORE-PC files, though the pattern holds. All other affected variables follow this exact same pattern. The component line items—individual balance sheet lines, individual expense lines, individual revenue lines—are fully populated in all years, which suggests the issue is specific to the summary totals rather than the underlying source data.
Questions:
Thank you so much for your work maintaining these files @lecy and @Thiyaghessan. They are an invaluable resource for nonprofit research and I really appreciate your responsiveness on issues like this.