diff --git a/changelog.d/frs-empstati-other-inactive.fixed.md b/changelog.d/frs-empstati-other-inactive.fixed.md new file mode 100644 index 00000000..f4613046 --- /dev/null +++ b/changelog.d/frs-empstati-other-inactive.fixed.md @@ -0,0 +1 @@ +Map FRS EMPSTATI code 11 ("Other inactive") to `employment_status` OTHER_INACTIVE; it had fallen through to LONG_TERM_DISABLED, which also put other-inactive adults into the ESA health-condition and support-group proxies. An adult EMPSTATI code the mapping does not know now fails the build instead of defaulting. diff --git a/policyengine_uk_data/datasets/frs.py b/policyengine_uk_data/datasets/frs.py index e440d486..f2412fe8 100644 --- a/policyengine_uk_data/datasets/frs.py +++ b/policyengine_uk_data/datasets/frs.py @@ -49,6 +49,22 @@ LEGACY_JOBSEEKER_MIN_AGE = 18 HOURS_WORKED_WEEKS_PER_YEAR = 52 ESA_MIN_AGE = 16 +# Adult-table EMPSTATI ("Adult - Employment Status - ILO definition") value +# labels from the UKDS FRS 2024-25 data dictionary, mapped to PolicyEngine +# statuses. Children have no EMPSTATI and are CHILD. +FRS_EMPSTATI_EMPLOYMENT_STATUS = { + 1: EmploymentStatus.FT_EMPLOYED.name, # Full-time employee + 2: EmploymentStatus.PT_EMPLOYED.name, # Part-time employee + 3: EmploymentStatus.FT_SELF_EMPLOYED.name, # Full-time self-employed + 4: EmploymentStatus.PT_SELF_EMPLOYED.name, # Part-time self-employed + 5: EmploymentStatus.UNEMPLOYED.name, # Unemployed + 6: EmploymentStatus.RETIRED.name, # Retired + 7: EmploymentStatus.STUDENT.name, # Student + 8: EmploymentStatus.CARER.name, # Looking after family/home + 9: EmploymentStatus.LONG_TERM_DISABLED.name, # Permanently sick/disabled + 10: EmploymentStatus.SHORT_TERM_DISABLED.name, # Temporarily sick/injured + 11: EmploymentStatus.OTHER_INACTIVE.name, # Other inactive +} ESA_HEALTH_EMPLOYMENT_STATUSES = ( EmploymentStatus.LONG_TERM_DISABLED.name, EmploymentStatus.SHORT_TERM_DISABLED.name, @@ -112,6 +128,33 @@ def require_variable(name: str, description: str) -> None: ) +def derive_employment_status_from_frs(empstati, is_adult_record) -> np.ndarray: + """Map FRS EMPSTATI codes to ``employment_status``. + + Rows from the child table are CHILD. Every adult must carry a code in + ``FRS_EMPSTATI_EMPLOYMENT_STATUS``: a missing or unknown adult code fails + the build rather than falling back to a guessed status, as the old + fallback silently made code 11 (Other inactive) LONG_TERM_DISABLED. + """ + + codes = pd.Series(np.asarray(empstati, dtype=float)) + is_adult_record = np.asarray(is_adult_record, dtype=bool) + adult_status = codes.map(FRS_EMPSTATI_EMPLOYMENT_STATUS).to_numpy() + unknown = is_adult_record & pd.isna(adult_status) + if unknown.any(): + # Build logs are public, and adults are not survey households, so + # name the codes and never a count. + bad = codes[unknown] + listed = [f"{code:g}" for code in sorted(bad.dropna().unique())] + listed += ["blank"] if bad.isna().any() else [] + raise ValueError( + "FRS adults have EMPSTATI codes missing from " + f"FRS_EMPSTATI_EMPLOYMENT_STATUS: {', '.join(listed)}. Map them " + "from the release's data dictionary." + ) + return np.where(is_adult_record, adult_status, EmploymentStatus.CHILD.name) + + def derive_legacy_jobseeker_proxy( age, employment_status, @@ -854,23 +897,9 @@ def determine_education_level(fted_val, typeed2_val, age_val): "UPPER_SECONDARY" ) - # Add employment status - EMPLOYMENTS = [ - "CHILD", - "FT_EMPLOYED", - "PT_EMPLOYED", - "FT_SELF_EMPLOYED", - "PT_SELF_EMPLOYED", - "UNEMPLOYED", - "RETIRED", - "STUDENT", - "CARER", - "LONG_TERM_DISABLED", - "SHORT_TERM_DISABLED", - ] - pe_person["employment_status"] = categorical( - person.empstati, 1, range(12), EMPLOYMENTS - ).fillna("LONG_TERM_DISABLED") + pe_person["employment_status"] = derive_employment_status_from_frs( + person.empstati, person.person_id.isin(frs["adult"].person_id) + ) # Add employer sector of the main job from FRS `mjobsect` # (1 = private, 2 = public; missing/blank = not in paid work). diff --git a/policyengine_uk_data/tests/test_frs_employment_status.py b/policyengine_uk_data/tests/test_frs_employment_status.py new file mode 100644 index 00000000..c7ccae1e --- /dev/null +++ b/policyengine_uk_data/tests/test_frs_employment_status.py @@ -0,0 +1,211 @@ +"""FRS EMPSTATI codes to ``employment_status``, and what the ESA proxies read.""" + +import numpy as np +import pytest +from hypothesis import given, strategies as st +from policyengine_uk.variables.household.income.employment_status import ( + EmploymentStatus, +) + +from policyengine_uk_data.datasets.frs import ( + ESA_HEALTH_EMPLOYMENT_STATUSES, + ESA_MIN_AGE, + FRS_EMPSTATI_EMPLOYMENT_STATUS, + derive_employment_status_from_frs, + derive_esa_health_condition_proxy, + derive_esa_support_group_proxy, +) + +# EMPSTATI ("Adult - Employment Status - ILO definition") value labels in the +# UKDS FRS 2024-25 data dictionary (SN 9563, adult table), with the status each +# label means. Every adult in the 2020-21, 2022-23 and 2023-24 releases also +# has a code from 1 to 11. +DATA_DICTIONARY = { + 1: ("Full-time Employee", "FT_EMPLOYED"), + 2: ("Part-time Employee", "PT_EMPLOYED"), + 3: ("Full-time Self-Employed", "FT_SELF_EMPLOYED"), + 4: ("Part-time Self-Employed", "PT_SELF_EMPLOYED"), + 5: ("Unemployed", "UNEMPLOYED"), + 6: ("Retired", "RETIRED"), + 7: ("Student", "STUDENT"), + 8: ("Looking after family/home", "CARER"), + 9: ("Permanently sick/disabled", "LONG_TERM_DISABLED"), + 10: ("Temporarily sick/injured", "SHORT_TERM_DISABLED"), + 11: ("Other Inactive", "OTHER_INACTIVE"), +} +ADULT_CODES = sorted(DATA_DICTIONARY) +HEALTH_CODES = (9, 10) + +adult_rows = st.tuples(st.just(True), st.sampled_from(ADULT_CODES)) +# Child-table rows have no EMPSTATI (0 once the person table fills blanks); the +# code must not matter for them. +child_rows = st.tuples( + st.just(False), + st.one_of(st.just(0), st.just(np.nan), st.integers(-9, 99)), +) +people = st.lists(st.one_of(adult_rows, child_rows), max_size=60) +unknown_adult_codes = st.one_of( + st.just(np.nan), + st.integers(-99, 0), + st.integers(12, 999), + st.floats(0.5, 11.5).filter(lambda x: not float(x).is_integer()), +) + + +def derive(rows): + is_adult = [adult for adult, _ in rows] + codes = [code for _, code in rows] + return derive_employment_status_from_frs(codes, is_adult) + + +def expected(adult, code): + return DATA_DICTIONARY[code][1] if adult else "CHILD" + + +@pytest.mark.parametrize("code", range(12)) +def test_every_code_from_0_to_11(code): + assert derive_employment_status_from_frs([code], [False]).tolist() == ["CHILD"] + if code == 0: + with pytest.raises(ValueError, match="EMPSTATI"): + derive_employment_status_from_frs([code], [True]) + else: + label, status = DATA_DICTIONARY[code] + assert derive_employment_status_from_frs([code], [True]).tolist() == [status], ( + label + ) + + +def test_other_inactive_is_not_long_term_disabled(): + result = derive_employment_status_from_frs([9, 11], [True, True]) + assert result.tolist() == ["LONG_TERM_DISABLED", "OTHER_INACTIVE"] + + +def test_code_table_is_the_data_dictionary(): + assert FRS_EMPSTATI_EMPLOYMENT_STATUS == { + code: status for code, (_, status) in DATA_DICTIONARY.items() + } + + +def test_adult_codes_and_child_rows_cover_each_status_once(): + statuses = [*FRS_EMPSTATI_EMPLOYMENT_STATUS.values(), "CHILD"] + assert len(set(statuses)) == len(statuses) + assert set(statuses) == set(EmploymentStatus.__members__) + + +@pytest.mark.parametrize("code", [0, -1, 12, 11.5, np.nan]) +def test_unknown_adult_code_fails_the_build(code): + with pytest.raises(ValueError, match="EMPSTATI"): + derive_employment_status_from_frs([1, code], [True, True]) + + +def listed_codes(message): + return message.split("FRS_EMPSTATI_EMPLOYMENT_STATUS: ")[1].split(". Map")[0] + + +def test_failure_message_lists_codes_in_numeric_order_with_blank_last(): + # Formatted from the float codes, not Series.astype(str), whose NaN + # handling differs between pandas 2 and 3. A string sort would put 100 + # before 11.5. + codes = [100, 12, np.nan, -1, 12, 11.5, 1] + with pytest.raises(ValueError) as error: + derive_employment_status_from_frs(codes, [True] * len(codes)) + assert listed_codes(str(error.value)) == "-1, 11.5, 12, 100, blank" + + +@given(st.lists(unknown_adult_codes, min_size=1, max_size=20)) +def test_failure_message_lists_each_unknown_code_once_in_order(bad_codes): + with pytest.raises(ValueError) as error: + derive_employment_status_from_frs(bad_codes, [True] * len(bad_codes)) + listed = listed_codes(str(error.value)).split(", ") + blank = any(np.isnan(code) for code in bad_codes) + assert (listed[-1] == "blank") == blank + numbers = [float(code) for code in listed[: len(listed) - blank]] + assert numbers == sorted(numbers) + assert set(listed) - {"blank"} == { + f"{code:g}" for code in bad_codes if not np.isnan(code) + } + + +@given(st.integers(1, 30), st.integers(1, 30)) +def test_failure_message_discloses_no_count(n_twelve, n_thirteen): + # Adults are not survey households, so no count of them is safe to print + # in a public build log: the message depends only on which codes occur. + codes = [12] * n_twelve + [13] * n_thirteen + with pytest.raises(ValueError) as error: + derive_employment_status_from_frs(codes, [True] * len(codes)) + message = str(error.value) + assert listed_codes(message) == "12, 13" + assert not any(character.isdigit() for character in message.replace("12, 13", "")) + + +@given(people) +def test_each_row_maps_on_its_own(rows): + result = derive(rows) + assert result.tolist() == [expected(adult, code) for adult, code in rows] + + +@given(people, st.randoms(use_true_random=False)) +def test_mapping_commutes_with_row_order(rows, rng): + order = list(range(len(rows))) + rng.shuffle(order) + statuses = derive(rows) + assert derive([rows[i] for i in order]).tolist() == [statuses[i] for i in order] + + +@given(people, unknown_adult_codes, st.integers(0, 60)) +def test_any_unknown_adult_code_fails_the_build(rows, bad_code, position): + rows = list(rows) + rows.insert(min(position, len(rows)), (True, bad_code)) + with pytest.raises(ValueError, match="EMPSTATI"): + derive(rows) + + +@given( + st.lists( + st.tuples( + st.integers(0, 100), # age + st.sampled_from(ADULT_CODES), + st.integers(60, 68), # State Pension age + st.integers(0, 3_000), # annual hours worked + st.booleans(), # EMPSTATI reported + ), + min_size=1, + max_size=60, + ) +) +def test_esa_proxies_read_only_the_sick_or_disabled_codes(rows): + age, codes, spa, hours, reported = map(np.array, zip(*rows)) + status = derive_employment_status_from_frs(codes, np.ones(len(rows), bool)) + health = derive_esa_health_condition_proxy( + age=age, + employment_status=status, + employment_status_reported=reported, + state_pension_age=spa, + ) + support = derive_esa_support_group_proxy( + age=age, + employment_status=status, + hours_worked=hours, + esa_health_condition_proxy=health, + employment_status_reported=reported, + state_pension_age=spa, + ) + working_age = (age >= ESA_MIN_AGE) & (age < spa) + assert ( + health.tolist() + == (reported & working_age & np.isin(codes, HEALTH_CODES)).tolist() + ) + assert not (support & ~health).any() + assert not support[codes != 9].any() + assert not health[codes == 11].any() + + +@pytest.mark.parametrize("dataset_name", ["frs", "enhanced_frs"]) +def test_built_dataset_statuses(dataset_name, request): + person = request.getfixturevalue(dataset_name).person + status = person["employment_status"].astype(str) + assert set(status) <= set(EmploymentStatus.__members__) + assert (status == "OTHER_INACTIVE").any() + not_sick = ~status.isin(ESA_HEALTH_EMPLOYMENT_STATUSES) + assert not person.loc[not_sick, "esa_health_condition_proxy"].any() + assert not person.loc[not_sick, "esa_support_group_proxy"].any() diff --git a/policyengine_uk_data/tests/test_legacy_benefit_proxies.py b/policyengine_uk_data/tests/test_legacy_benefit_proxies.py index 5f1acd85..ba20ad60 100644 --- a/policyengine_uk_data/tests/test_legacy_benefit_proxies.py +++ b/policyengine_uk_data/tests/test_legacy_benefit_proxies.py @@ -1,9 +1,11 @@ import numpy as np import pandas as pd +import pytest import policyengine_uk import policyengine_uk_data.datasets.frs as frs_module from policyengine_uk_data.datasets.frs import ( + FRS_EMPSTATI_EMPLOYMENT_STATUS, add_legacy_benefit_proxies, attach_legacy_benefit_proxies_from_frs_person, apply_legacy_benefit_proxies, @@ -359,7 +361,7 @@ def calculate(self, variable, year=None): if variable == "household_id": return np.array([100]) if variable == "state_pension_age": - return pd.Series([66]) + return pd.Series([66] * len(self.dataset.person)) if variable in ( "childcare_grant", "parents_learning_allowance", @@ -373,7 +375,7 @@ def calculate(self, variable, year=None): raise KeyError(variable) -def test_create_frs_smoke_includes_legacy_proxy_columns(tmp_path, monkeypatch): +def create_single_adult_frs(tmp_path, monkeypatch, empstati=8, with_child=False): original_read_csv = frs_module.pd.read_csv def fake_read_csv(path, *args, **kwargs): @@ -426,7 +428,7 @@ def fake_read_csv(path, *args, **kwargs): "educqual": 0, "eduma": 0, "edumaamt": 0, - "empstati": 8, + "empstati": empstati, "mjobsect": 0, "sic": 0, "fsbval": 0, @@ -468,7 +470,13 @@ def fake_read_csv(path, *args, **kwargs): } ] ) - child = pd.DataFrame(columns=adult.columns) + # The FRS child table has no EMPSTATI column. + child_columns = adult.columns.drop("empstati") + child = pd.DataFrame(columns=child_columns) + if with_child: + child = pd.DataFrame( + [{**dict.fromkeys(child_columns, 0), "sernum": 100, "benunit": 1}] + ).assign(person=2, age=5, uperson=2) benunit = pd.DataFrame([{"sernum": 100, "benunit": 1, "famtypb2": 1}]) househol = pd.DataFrame( [ @@ -536,7 +544,11 @@ def fake_read_csv(path, *args, **kwargs): for name, table in raw_tables.items(): table.to_csv(tmp_path / f"{name}.tab", sep="\t", index=False) - dataset = create_frs(tmp_path, 2025) + return create_frs(tmp_path, 2025) + + +def test_create_frs_smoke_includes_legacy_proxy_columns(tmp_path, monkeypatch): + dataset = create_single_adult_frs(tmp_path, monkeypatch) assert { "legacy_jobseeker_proxy", @@ -561,3 +573,31 @@ def fake_read_csv(path, *args, **kwargs): ].iloc[0] assert dataset.person["education_grants"].iloc[0] == 100 assert dataset.person["disabled_students_allowance_eligible_expenses"].iloc[0] == 0 + + +@pytest.mark.parametrize("empstati", sorted(FRS_EMPSTATI_EMPLOYMENT_STATUS)) +def test_create_frs_maps_every_empstati_code(tmp_path, monkeypatch, empstati): + person = create_single_adult_frs(tmp_path, monkeypatch, empstati).person + + status = person["employment_status"].iloc[0] + assert status == FRS_EMPSTATI_EMPLOYMENT_STATUS[empstati] + # A working-age adult reporting no hours: only the sick/disabled codes + # (9 permanently, 10 temporarily) are ESA health states. + assert person["esa_health_condition_proxy"].iloc[0] == (empstati in (9, 10)) + assert person["esa_support_group_proxy"].iloc[0] == (empstati == 9) + + +def test_create_frs_child_rows_are_child(tmp_path, monkeypatch): + person = create_single_adult_frs( + tmp_path, monkeypatch, empstati=11, with_child=True + ).person.set_index("person_id") + + assert person["employment_status"].to_dict() == { + 100_001: "OTHER_INACTIVE", + 100_002: "CHILD", + } + + +def test_create_frs_rejects_unknown_adult_empstati(tmp_path, monkeypatch): + with pytest.raises(ValueError, match="EMPSTATI"): + create_single_adult_frs(tmp_path, monkeypatch, empstati=12) diff --git a/pyproject.toml b/pyproject.toml index beff7f1a..58de5b1d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,6 +38,7 @@ dependencies = [ dev = [ "ruff>=0.9.0", "pytest", + "hypothesis", "torch", "l0-python>=0.4.0", "tables", diff --git a/uv.lock b/uv.lock index a3e9f44d..c301c6c9 100644 --- a/uv.lock +++ b/uv.lock @@ -577,6 +577,75 @@ wheels = [ { url = 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