diff --git a/README.md b/README.md
index 8d1cf2c2..8d8917be 100644
--- a/README.md
+++ b/README.md
@@ -45,6 +45,7 @@ print(f"Total UC spending: £{agg.result / 1e9:.1f}bn")
 - `examples/income_distribution_us.py`: Analyse benefit distribution by decile
 - `examples/employment_income_variation_uk.py`: Model employment income phase-outs
 - `examples/policy_change_uk.py`: Analyse policy reform impacts
+- `examples/paper_repro_uk.py`: Reproduce the UK reform analysis used in the JOSS paper draft
 
 ## Installation
 
@@ -136,6 +137,16 @@ echo "Description of change" > changelog.d/my-change.added
 
 On merge, the versioning workflow bumps the version, builds the changelog, and creates a GitHub Release.
 
+## Paper reproduction
+
+Use the pinned interpreter and the UK extra to run the checked-in paper repro:
+
+```bash
+uv run --python 3.14 --extra uk python examples/paper_repro_uk.py
+```
+
+On first run this will create `./data/enhanced_frs_2023_24_year_2026.h5`.
+
 ## Features
 
 - **Multi-country support**: UK and US tax-benefit systems
diff --git a/changelog.d/codex.paper-repro-314.fixed.md b/changelog.d/codex.paper-repro-314.fixed.md
new file mode 100644
index 00000000..060a26f6
--- /dev/null
+++ b/changelog.d/codex.paper-repro-314.fixed.md
@@ -0,0 +1 @@
+Fixed the UK paper reproduction workflow so the checked-in example runs on Python 3.14 and the associated analysis helpers handle that path cleanly.
diff --git a/examples/paper_repro_uk.py b/examples/paper_repro_uk.py
new file mode 100644
index 00000000..0c753e0e
--- /dev/null
+++ b/examples/paper_repro_uk.py
@@ -0,0 +1,76 @@
+"""Reproduce the UK policy-reform analysis used in the JOSS paper draft.
+
+This script uses the same reform shown in `paper.md`, but adds the missing
+dataset setup so it can run end-to-end from a fresh checkout.
+
+Run:
+    uv run --python 3.14 --extra uk python examples/paper_repro_uk.py
+"""
+
+from datetime import date
+
+from policyengine.core import Parameter, ParameterValue, Policy, Simulation
+from policyengine.tax_benefit_models.uk import (
+    economic_impact_analysis,
+    ensure_datasets,
+    uk_latest,
+)
+
+
+def load_dataset(year: int = 2026):
+    """Load or create the enhanced UK dataset used for population analysis."""
+    datasets = ensure_datasets(
+        datasets=["hf://policyengine/policyengine-uk-data/enhanced_frs_2023_24.h5"],
+        years=[year],
+    )
+    return datasets[f"enhanced_frs_2023_24_{year}"]
+
+
+def create_reform(year: int = 2026) -> Policy:
+    """Set the UK personal allowance to zero for one tax year."""
+    parameter = Parameter(
+        name="gov.hmrc.income_tax.allowances.personal_allowance.amount",
+        tax_benefit_model_version=uk_latest,
+    )
+
+    return Policy(
+        name="Zero personal allowance",
+        parameter_values=[
+            ParameterValue(
+                parameter=parameter,
+                start_date=date(year, 1, 1),
+                end_date=date(year, 12, 31),
+                value=0,
+            )
+        ],
+    )
+
+
+def main():
+    dataset = load_dataset()
+    reform = create_reform()
+
+    baseline = Simulation(
+        dataset=dataset,
+        tax_benefit_model_version=uk_latest,
+    )
+    reformed = Simulation(
+        dataset=dataset,
+        tax_benefit_model_version=uk_latest,
+        policy=reform,
+    )
+
+    analysis = economic_impact_analysis(baseline, reformed)
+
+    first_decile = analysis.decile_impacts.outputs[0]
+
+    print(f"Dataset: {dataset.filepath}")
+    print(f"Households: {len(dataset.data.household):,}")
+    print(f"Baseline Gini: {analysis.baseline_inequality.gini:.4f}")
+    print(f"Reform Gini: {analysis.reform_inequality.gini:.4f}")
+    print(f"Decile 1 mean change: {first_decile.absolute_change:,.2f}")
+    print(f"Programmes analysed: {len(analysis.programme_statistics.outputs)}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/policyengine/outputs/decile_impact.py b/src/policyengine/outputs/decile_impact.py
index 9d5e2e43..d3339003 100644
--- a/src/policyengine/outputs/decile_impact.py
+++ b/src/policyengine/outputs/decile_impact.py
@@ -97,32 +97,48 @@ def run(self):
 
 
 def calculate_decile_impacts(
-    dataset: Dataset,
-    tax_benefit_model_version: TaxBenefitModelVersion,
+    dataset: Dataset | None = None,
+    tax_benefit_model_version: TaxBenefitModelVersion | None = None,
     baseline_policy: Policy | None = None,
     reform_policy: Policy | None = None,
     dynamic: Dynamic | None = None,
     income_variable: str = "equiv_hbai_household_net_income",
     entity: str | None = None,
     quantiles: int = 10,
+    baseline_simulation: Simulation | None = None,
+    reform_simulation: Simulation | None = None,
 ) -> OutputCollection[DecileImpact]:
     """Calculate decile-by-decile impact of a reform.
 
     Returns:
         OutputCollection containing list of DecileImpact objects and DataFrame
     """
-    baseline_simulation = Simulation(
-        dataset=dataset,
-        tax_benefit_model_version=tax_benefit_model_version,
-        policy=baseline_policy,
-        dynamic=dynamic,
-    )
-    reform_simulation = Simulation(
-        dataset=dataset,
-        tax_benefit_model_version=tax_benefit_model_version,
-        policy=reform_policy,
-        dynamic=dynamic,
-    )
+    if (baseline_simulation is None) != (reform_simulation is None):
+        raise ValueError(
+            "baseline_simulation and reform_simulation must be provided together"
+        )
+
+    if baseline_simulation is None:
+        if dataset is None or tax_benefit_model_version is None:
+            raise ValueError(
+                "dataset and tax_benefit_model_version are required when simulations are not provided"
+            )
+
+        baseline_simulation = Simulation(
+            dataset=dataset,
+            tax_benefit_model_version=tax_benefit_model_version,
+            policy=baseline_policy,
+            dynamic=dynamic,
+        )
+        reform_simulation = Simulation(
+            dataset=dataset,
+            tax_benefit_model_version=tax_benefit_model_version,
+            policy=reform_policy,
+            dynamic=dynamic,
+        )
+
+    baseline_simulation.ensure()
+    reform_simulation.ensure()
 
     results = []
     for decile in range(1, quantiles + 1):
diff --git a/src/policyengine/tax_benefit_models/uk/__init__.py b/src/policyengine/tax_benefit_models/uk/__init__.py
index 09e697b7..ed62138f 100644
--- a/src/policyengine/tax_benefit_models/uk/__init__.py
+++ b/src/policyengine/tax_benefit_models/uk/__init__.py
@@ -31,6 +31,7 @@
     UKYearData.model_rebuild()
     PolicyEngineUKDataset.model_rebuild()
     PolicyEngineUKLatest.model_rebuild()
+    ProgrammeStatistics.model_rebuild()
 
     __all__ = [
         "UKYearData",
diff --git a/src/policyengine/tax_benefit_models/uk/analysis.py b/src/policyengine/tax_benefit_models/uk/analysis.py
index c4b32016..f7f5af5b 100644
--- a/src/policyengine/tax_benefit_models/uk/analysis.py
+++ b/src/policyengine/tax_benefit_models/uk/analysis.py
@@ -202,33 +202,32 @@ def economic_impact_analysis(
 
     # Decile impact
     decile_impacts = calculate_decile_impacts(
-        dataset=baseline_simulation.dataset,
-        tax_benefit_model_version=baseline_simulation.tax_benefit_model_version,
-        baseline_policy=baseline_simulation.policy,
-        reform_policy=reform_simulation.policy,
-        dynamic=baseline_simulation.dynamic,
+        baseline_simulation=baseline_simulation,
+        reform_simulation=reform_simulation,
     )
 
     # Major programmes to analyse
     programmes = {
         # Tax
-        "income_tax": {"entity": "person", "is_tax": True},
-        "national_insurance": {"entity": "person", "is_tax": True},
-        "vat": {"entity": "household", "is_tax": True},
-        "council_tax": {"entity": "household", "is_tax": True},
+        "income_tax": {"is_tax": True},
+        "national_insurance": {"is_tax": True},
+        "vat": {"is_tax": True},
+        "council_tax": {"is_tax": True},
         # Benefits
-        "universal_credit": {"entity": "person", "is_tax": False},
-        "child_benefit": {"entity": "person", "is_tax": False},
-        "pension_credit": {"entity": "person", "is_tax": False},
-        "income_support": {"entity": "person", "is_tax": False},
-        "working_tax_credit": {"entity": "person", "is_tax": False},
-        "child_tax_credit": {"entity": "person", "is_tax": False},
+        "universal_credit": {"is_tax": False},
+        "child_benefit": {"is_tax": False},
+        "pension_credit": {"is_tax": False},
+        "income_support": {"is_tax": False},
+        "working_tax_credit": {"is_tax": False},
+        "child_tax_credit": {"is_tax": False},
     }
 
     programme_statistics = []
 
     for programme_name, programme_info in programmes.items():
-        entity = programme_info["entity"]
+        entity = baseline_simulation.tax_benefit_model_version.get_variable(
+            programme_name
+        ).entity
         is_tax = programme_info["is_tax"]
 
         stats = ProgrammeStatistics(
diff --git a/src/policyengine/tax_benefit_models/uk/model.py b/src/policyengine/tax_benefit_models/uk/model.py
index a2725276..8575a795 100644
--- a/src/policyengine/tax_benefit_models/uk/model.py
+++ b/src/policyengine/tax_benefit_models/uk/model.py
@@ -108,6 +108,8 @@ class PolicyEngineUKLatest(TaxBenefitModelVersion):
             # Income and benefits
             "universal_credit",
             "child_benefit",
+            "pension_credit",
+            "income_support",
             "working_tax_credit",
             "child_tax_credit",
         ],
diff --git a/src/policyengine/tax_benefit_models/uk/outputs.py b/src/policyengine/tax_benefit_models/uk/outputs.py
index cc9ee82d..273a27c6 100644
--- a/src/policyengine/tax_benefit_models/uk/outputs.py
+++ b/src/policyengine/tax_benefit_models/uk/outputs.py
@@ -1,27 +1,22 @@
 """UK-specific output templates."""
 
-from typing import TYPE_CHECKING
-
 from pydantic import ConfigDict
 
-from policyengine.core import Output
+from policyengine.core import Output, Simulation
 from policyengine.outputs.aggregate import Aggregate, AggregateType
 from policyengine.outputs.change_aggregate import (
     ChangeAggregate,
     ChangeAggregateType,
 )
 
-if TYPE_CHECKING:
-    from policyengine.core.simulation import Simulation
-
 
 class ProgrammeStatistics(Output):
     """Single programme's statistics from a policy reform - represents one database row."""
 
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
-    baseline_simulation: "Simulation"
-    reform_simulation: "Simulation"
+    baseline_simulation: Simulation
+    reform_simulation: Simulation
     programme_name: str
     entity: str
     is_tax: bool = False
diff --git a/src/policyengine/tax_benefit_models/us/__init__.py b/src/policyengine/tax_benefit_models/us/__init__.py
index b5a95b3f..0022e6a2 100644
--- a/src/policyengine/tax_benefit_models/us/__init__.py
+++ b/src/policyengine/tax_benefit_models/us/__init__.py
@@ -31,6 +31,7 @@
     USYearData.model_rebuild()
     PolicyEngineUSDataset.model_rebuild()
     PolicyEngineUSLatest.model_rebuild()
+    ProgramStatistics.model_rebuild()
 
     __all__ = [
         "USYearData",
diff --git a/src/policyengine/tax_benefit_models/us/analysis.py b/src/policyengine/tax_benefit_models/us/analysis.py
index 4b14a93f..6648ae01 100644
--- a/src/policyengine/tax_benefit_models/us/analysis.py
+++ b/src/policyengine/tax_benefit_models/us/analysis.py
@@ -218,11 +218,8 @@ def economic_impact_analysis(
 
     # Decile impact (using household_net_income for US)
     decile_impacts = calculate_decile_impacts(
-        dataset=baseline_simulation.dataset,
-        tax_benefit_model_version=baseline_simulation.tax_benefit_model_version,
-        baseline_policy=baseline_simulation.policy,
-        reform_policy=reform_simulation.policy,
-        dynamic=baseline_simulation.dynamic,
+        baseline_simulation=baseline_simulation,
+        reform_simulation=reform_simulation,
         income_variable="household_net_income",
     )
 
diff --git a/src/policyengine/tax_benefit_models/us/outputs.py b/src/policyengine/tax_benefit_models/us/outputs.py
index 38e20858..63fd1a36 100644
--- a/src/policyengine/tax_benefit_models/us/outputs.py
+++ b/src/policyengine/tax_benefit_models/us/outputs.py
@@ -1,27 +1,22 @@
 """US-specific output templates."""
 
-from typing import TYPE_CHECKING
-
 from pydantic import ConfigDict
 
-from policyengine.core import Output
+from policyengine.core import Output, Simulation
 from policyengine.outputs.aggregate import Aggregate, AggregateType
 from policyengine.outputs.change_aggregate import (
     ChangeAggregate,
     ChangeAggregateType,
 )
 
-if TYPE_CHECKING:
-    from policyengine.core.simulation import Simulation
-
 
 class ProgramStatistics(Output):
     """Single program's statistics from a policy reform - represents one database row."""
 
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
-    baseline_simulation: "Simulation"
-    reform_simulation: "Simulation"
+    baseline_simulation: Simulation
+    reform_simulation: Simulation
     program_name: str
     entity: str
     is_tax: bool = False
diff --git a/tests/test_intra_decile_impact.py b/tests/test_intra_decile_impact.py
index d49c7cf8..dc4e6a96 100644
--- a/tests/test_intra_decile_impact.py
+++ b/tests/test_intra_decile_impact.py
@@ -6,7 +6,12 @@
 import pandas as pd
 from microdf import MicroDataFrame
 
-from policyengine.outputs.decile_impact import DecileImpact
+from policyengine.core import Simulation, TaxBenefitModel, TaxBenefitModelVersion
+from policyengine.core.variable import Variable
+from policyengine.outputs.decile_impact import (
+    DecileImpact,
+    calculate_decile_impacts,
+)
 from policyengine.outputs.intra_decile_impact import (
     compute_intra_decile_impacts,
 )
@@ -20,6 +25,21 @@ def _make_variable_mock(name: str, entity: str) -> MagicMock:
     return var
 
 
+def _make_version(variable_name: str, entity: str) -> TaxBenefitModelVersion:
+    """Create a minimal TaxBenefitModelVersion with one variable."""
+    model = TaxBenefitModel(id="test-model")
+    version = TaxBenefitModelVersion(model=model, version="test-version")
+    variable = Variable(
+        id=f"test-model-{variable_name}",
+        name=variable_name,
+        tax_benefit_model_version=version,
+        entity=entity,
+    )
+    version.variables = [variable]
+    version.variables_by_name = {variable_name: variable}
+    return version
+
+
 def _make_sim(household_data: dict, variables: list | None = None) -> MagicMock:
     """Create a mock Simulation with household-level data."""
     hh_df = MicroDataFrame(
@@ -269,3 +289,113 @@ def test_decile_impact_qcut_default():
     assert di.baseline_mean is not None
     assert di.absolute_change is not None
     assert abs(di.absolute_change - 1000.0) < 1e-6
+
+
+def test_calculate_decile_impacts_uses_supplied_simulations(monkeypatch):
+    """calculate_decile_impacts can reuse simulations that already have outputs."""
+    version = _make_version("household_net_income", "household")
+    baseline = Simulation.model_construct(
+        tax_benefit_model_version=version,
+        output_dataset=MagicMock(
+            data=MagicMock(
+                household=MicroDataFrame(
+                    pd.DataFrame(
+                        {
+                            "household_net_income": [
+                                40000.0,
+                                60000.0,
+                                80000.0,
+                                100000.0,
+                            ],
+                            "household_weight": [1.0, 1.0, 1.0, 1.0],
+                        }
+                    ),
+                    weights="household_weight",
+                )
+            )
+        ),
+    )
+    reform = Simulation.model_construct(
+        tax_benefit_model_version=version,
+        output_dataset=MagicMock(
+            data=MagicMock(
+                household=MicroDataFrame(
+                    pd.DataFrame(
+                        {
+                            "household_net_income": [
+                                41000.0,
+                                61000.0,
+                                81000.0,
+                                101000.0,
+                            ],
+                            "household_weight": [1.0, 1.0, 1.0, 1.0],
+                        }
+                    ),
+                    weights="household_weight",
+                )
+            )
+        ),
+    )
+    ensure_calls = []
+
+    def fake_ensure(self):
+        ensure_calls.append(self.id)
+
+    monkeypatch.setattr(
+        "policyengine.outputs.decile_impact.Simulation.ensure",
+        fake_ensure,
+    )
+
+    results = calculate_decile_impacts(
+        baseline_simulation=baseline,
+        reform_simulation=reform,
+        income_variable="household_net_income",
+        entity="household",
+        quantiles=2,
+    )
+
+    assert len(ensure_calls) == 2
+    assert len(results.outputs) == 2
+    assert all(
+        abs(result.absolute_change - 1000.0) < 1e-6 for result in results.outputs
+    )
+
+
+def test_calculate_decile_impacts_ensures_constructed_simulations(
+    uk_test_dataset, monkeypatch
+):
+    """calculate_decile_impacts populates outputs when constructing simulations internally."""
+    household_df = pd.DataFrame(uk_test_dataset.data.household)
+    household_df["equiv_hbai_household_net_income"] = [
+        10000.0,
+        20000.0,
+        30000.0,
+    ]
+    uk_test_dataset.data.household = MicroDataFrame(
+        household_df,
+        weights="household_weight",
+    )
+
+    ensure_calls = []
+
+    def fake_ensure(self):
+        ensure_calls.append(self.id)
+        self.output_dataset = uk_test_dataset
+
+    monkeypatch.setattr(
+        "policyengine.outputs.decile_impact.Simulation.ensure",
+        fake_ensure,
+    )
+
+    results = calculate_decile_impacts(
+        dataset=uk_test_dataset,
+        tax_benefit_model_version=_make_version(
+            "equiv_hbai_household_net_income",
+            "household",
+        ),
+        quantiles=3,
+    )
+
+    assert len(ensure_calls) == 2
+    assert len(results.outputs) == 3
+    assert all(abs(result.absolute_change) < 1e-9 for result in results.outputs)
diff --git a/uv.lock b/uv.lock
index 482c547d..ec5c6ed9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -241,6 +241,75 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" },
 ]
 
+[[package]]
+name = "coverage"
+version = "7.13.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9d/e0/70553e3000e345daff267cec284ce4cbf3fc141b6da229ac52775b5428f1/coverage-7.13.5.tar.gz", hash = "sha256:c81f6515c4c40141f83f502b07bbfa5c240ba25bbe73da7b33f1e5b6120ff179", size = 915967, upload-time = "2026-03-17T10:33:18.341Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/74/8c/74fedc9663dcf168b0a059d4ea756ecae4da77a489048f94b5f512a8d0b3/coverage-7.13.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5ec4af212df513e399cf11610cc27063f1586419e814755ab362e50a85ea69c1", size = 219576, upload-time = "2026-03-17T10:31:09.045Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/c9/44fb661c55062f0818a6ffd2685c67aa30816200d5f2817543717d4b92eb/coverage-7.13.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:941617e518602e2d64942c88ec8499f7fbd49d3f6c4327d3a71d43a1973032f3", size = 219942, upload-time = "2026-03-17T10:31:10.708Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/13/93419671cee82b780bab7ea96b67c8ef448f5f295f36bf5031154ec9a790/coverage-7.13.5-cp313-cp313-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:da305e9937617ee95c2e39d8ff9f040e0487cbf1ac174f777ed5eddd7a7c1f26", size = 250935, upload-time = "2026-03-17T10:31:12.392Z" },
+    { url = "https://files.pythonhosted.org/packages/ac/68/1666e3a4462f8202d836920114fa7a5ee9275d1fa45366d336c551a162dd/coverage-7.13.5-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:78e696e1cc714e57e8b25760b33a8b1026b7048d270140d25dafe1b0a1ee05a3", size = 253541, upload-time = "2026-03-17T10:31:14.247Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/5e/3ee3b835647be646dcf3c65a7c6c18f87c27326a858f72ab22c12730773d/coverage-7.13.5-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:02ca0eed225b2ff301c474aeeeae27d26e2537942aa0f87491d3e147e784a82b", size = 254780, upload-time = "2026-03-17T10:31:16.193Z" },
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