Bug fixes

CHANGELOG.md

@@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), 
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [2.14.0] - 2024-10-28 12:09:01
+
+### Fixed
+
+- Bugs affecting household app calculations.
+
 ## [2.13.2] - 2024-10-28 10:46:29
 
 ### Fixed
@@ -1573,6 +1579,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 
 
+[2.14.0]: https://github.com/PolicyEngine/openfisca-uk/compare/2.13.2...2.14.0
 [2.13.2]: https://github.com/PolicyEngine/openfisca-uk/compare/2.13.1...2.13.2
 [2.13.1]: https://github.com/PolicyEngine/openfisca-uk/compare/2.13.0...2.13.1
 [2.13.0]: https://github.com/PolicyEngine/openfisca-uk/compare/2.12.0...2.13.0

changelog.yaml

@@ -1320,3 +1320,8 @@
     fixed:
     - Threshold freeze for ST extended to 2027.
   date: 2024-10-28 10:46:29
+- bump: minor
+  changes:
+    fixed:
+    - Bugs affecting household app calculations.
+  date: 2024-10-28 12:09:01

policyengine_uk/parameters/gov/hmrc/national_insurance/class_1/rates/employer.yaml

@@ -3,7 +3,7 @@ description: National Insurance contribution rate by employers on earnings above
 metadata:
   label: NI Employer rate
   propagate_metadata_to_children: true
+  unit: /1
   reference: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/882271/Table-a4.pdf
-  unit: marginal-rate
 values:
   2015-06-01: 0.138

policyengine_uk/variables/contrib/labour/private_school_vat.py

@@ -9,6 +9,8 @@ class attends_private_school(Variable):
     value_type = bool
 
     def formula(person, period, parameters):
+        if not hasattr(person.simulation, "dataset"):
+            return 0
         household = person.household
         # To ensure that our model matches
         # total number of students actually enrolled
@@ -37,6 +39,9 @@ def formula(person, period, parameters):
         household_weight = household("household_weight", period)
         weighted_income = MicroSeries(net_income, weights=household_weight)
 
+        if household_weight.sum() < 1e6:
+            return 0
+
         percentile = np.zeros_like(weighted_income).astype(numpy.int64)
         mask = household_weight > 0
 
@@ -60,7 +65,9 @@ def formula(person, period, parameters):
             * is_child
         )
 
-        return random(person) < p_attends_private_school
+        value = random(person) < p_attends_private_school
+
+        return value
 
 
 class private_school_vat(Variable):

policyengine_uk/variables/contrib/policyengine/employer_ni/employer_ni_fixed_employer_cost_change.py

@@ -159,12 +159,15 @@ def formula(person, period, parameters):
         total_consumption = (consumption * person_weight).sum()
         share_of_total_consumption = consumption / total_consumption
 
-        return (
+        value = (
             amount_paid_by_employers
             * share_of_total_consumption
             * consumer_incidence
         )
 
+        if total_consumption == 0:
+            return 0
+
 
 class employer_ni_response_capital_incidence(Variable):
     label = "capital response to employer NI reform"
@@ -199,12 +202,15 @@ def formula(person, period, parameters):
         total_wealth = (wealth * person_weight).sum()
         share_of_total_wealth = wealth / total_wealth
 
-        return (
+        value = (
             amount_paid_by_employers
             * share_of_total_wealth
             * capital_incidence
         )
 
+        if total_wealth == 0:
+            return 0
+
 
 class employer_ni_fixed_employer_cost_change(Variable):
     label = "employer NI reform incidence"

setup.py

@@ -4,7 +4,7 @@
 
 setup(
     name="PolicyEngine-UK",
-    version="2.13.2",
+    version="2.14.0",
     author="PolicyEngine",
     author_email="nikhil@policyengine.org",
     classifiers=[