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Update package version
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CHANGELOG.md

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## [1.112.3] - 2026-05-12
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### Fixed
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- Harden CPS pregnancy take-up rates to use the build year and fall back across nearby CDC and ACS vintages.
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## [1.112.2] - 2026-05-12
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changelog.d/harden-pregnancy-takeup.fixed.md

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docs/generated/pipeline_api.json

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"docstring": "\"Add auto loan balance, interest and net_worth variable.",
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"id": "add_auto_loan",
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"kind": "function",
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"line": 2778,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_auto_loan_interest_and_net_worth"
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"docstring": "Populate household-level geography variables used by PolicyEngine US.\n\nArgs:\n cps: Output CPS H5 group receiving derived household variables.\n household: Raw CPS household table.",
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"id": "add_household_variables",
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"kind": "function",
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"line": 1440,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_household_variables"
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"docstring": "Add basic ID and weight variables.\n\nArgs:\n cps (h5py.File): The CPS dataset file.\n person (DataFrame): The person table of the ASEC.\n tax_unit (DataFrame): The tax unit table created from the person table\n of the ASEC.\n family (DataFrame): The family table of the ASEC.\n spm_unit (DataFrame): The SPM unit table created from the person table\n of the ASEC.\n household (DataFrame): The household table of the ASEC.",
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"id": "add_id_variables",
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"kind": "function",
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"line": 919,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_id_variables"
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"docstring": "Impute ORG-derived wage and union inputs onto CPS persons.",
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"id": "add_org_inputs",
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"kind": "function",
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"line": 2662,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_org_labor_market_inputs"
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"docstring": "Add income variables.\n\nArgs:\n cps (h5py.File): The CPS dataset file.\n person (DataFrame): The CPS person table.\n year (int): The CPS year",
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"id": "add_personal_income_variables",
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"kind": "function",
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"line": 1125,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_personal_income_variables"
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"docstring": "Add personal demographic variables.\n\nArgs:\n cps (h5py.File): The CPS dataset file.\n person (DataFrame): The CPS person table.",
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"id": "add_personal_variables",
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"kind": "function",
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"line": 981,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_personal_variables"
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"docstring": "",
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"id": "add_previous_year_income",
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"kind": "function",
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_previous_year_income"
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"docstring": "",
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"id": "add_spm_variables",
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"kind": "function",
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"line": 1401,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_spm_variables"
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"docstring": "Assign SSN card type using PRCITSHP, employment status, and ASEC-UA conditions.\nCodes:\n- 0: \"NONE\" - Likely undocumented immigrants\n- 1: \"CITIZEN\" - US citizens (born or naturalized)\n- 2: \"NON_CITIZEN_VALID_EAD\" - Non-citizens with work/study authorization\n- 3: \"OTHER_NON_CITIZEN\" - Non-citizens with indicators of legal status",
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"id": "add_ssn_card_type",
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"kind": "function",
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_ssn_card_type"
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"docstring": "",
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"id": "add_tips",
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"kind": "function",
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"line": 2487,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_tips"

pyproject.toml

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[project]
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name = "policyengine_us_data"
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version = "1.112.2"
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version = "1.112.3"
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description = "A package to create representative microdata for the US."
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readme = "README.md"
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authors = [

uv.lock

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