From a9700543dab6a384d12c11102eb5730a7728d16e Mon Sep 17 00:00:00 2001 From: Nikhil Woodruff Date: Fri, 28 Jun 2024 16:38:40 +0100 Subject: [PATCH 1/5] Add non-dom status --- changelog_entry.yaml | 4 ++ .../reliefs/non_domiciled_status.yaml | 6 +++ .../proportion_by_income.yaml | 43 +++++++++++++++ .../non_domiciled_status/total.yaml | 9 ++++ .../variables/gov/hmrc/income_tax/relief.py | 5 ++ .../household/income/worldwide_income.py | 54 +++++++++++++++++++ 6 files changed, 121 insertions(+) create mode 100644 policyengine_uk/parameters/gov/hmrc/income_tax/reliefs/non_domiciled_status.yaml create mode 100644 policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml create mode 100644 policyengine_uk/parameters/gov/simulation/non_domiciled_status/total.yaml create mode 100644 policyengine_uk/variables/household/income/worldwide_income.py diff --git a/changelog_entry.yaml b/changelog_entry.yaml index e69de29bb..3dfd47ada 100644 --- a/changelog_entry.yaml +++ b/changelog_entry.yaml @@ -0,0 +1,4 @@ +- bump: minor + changes: + added: + - Non-dom status switch. diff --git a/policyengine_uk/parameters/gov/hmrc/income_tax/reliefs/non_domiciled_status.yaml b/policyengine_uk/parameters/gov/hmrc/income_tax/reliefs/non_domiciled_status.yaml new file mode 100644 index 000000000..2fbaf19de --- /dev/null +++ b/policyengine_uk/parameters/gov/hmrc/income_tax/reliefs/non_domiciled_status.yaml @@ -0,0 +1,6 @@ +description: Whether individuals can claim non-domiciled status for tax purposes. +values: + 2000-01-01: true +metadata: + unit: bool + label: allow non-domiciled tax status diff --git a/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml b/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml new file mode 100644 index 000000000..9f077c913 --- /dev/null +++ b/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml @@ -0,0 +1,43 @@ +description: Proportion of non-domiciled people by income band. +brackets: + - threshold: + 2022-01-01: 0 + amount: + 2022-01-01: 0.03 + - threshold: + 2022-01-01: 100_000 + amount: + 2022-01-01: 0.052 + - threshold: + 2022-01-01: 200_000 + amount: + 2022-01-01: 0.134 + - threshold: + 2022-01-01: 500_000 + amount: + 2022-01-01: 0.211 + - threshold: + 2022-01-01: 1_000_000 + amount: + 2022-01-01: 0.268 + - threshold: + 2022-01-01: 2_000_000 + amount: + 2022-01-01: 0.344 + - threshold: + 2022-01-01: 5_000_000 + amount: + 2022-01-01: 0.414 + - threshold: + 2022-01-01: 10_000_000 + amount: + 2022-01-01: 0.4 + +metadata: + label: proportion of non-domiciled individuals by income band + type: single_amount + threshold_unit: currency-GBP + amount_unit: /1 + reference: + - title: CAGE Policy Briefing no. 36 + href: https://warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/bn36.2022.pdf diff --git a/policyengine_uk/parameters/gov/simulation/non_domiciled_status/total.yaml b/policyengine_uk/parameters/gov/simulation/non_domiciled_status/total.yaml new file mode 100644 index 000000000..1c1aa50e3 --- /dev/null +++ b/policyengine_uk/parameters/gov/simulation/non_domiciled_status/total.yaml @@ -0,0 +1,9 @@ +description: Total number of non-domiciled people. +values: + 2022-01-01: 238_000 +metadata: + unit: person + label: total non-domiciled individuals + reference: + - title: CAGE Policy Briefing no. 36 + href: https://warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/bn36.2022.pdf diff --git a/policyengine_uk/variables/gov/hmrc/income_tax/relief.py b/policyengine_uk/variables/gov/hmrc/income_tax/relief.py index 210872237..606e61367 100644 --- a/policyengine_uk/variables/gov/hmrc/income_tax/relief.py +++ b/policyengine_uk/variables/gov/hmrc/income_tax/relief.py @@ -327,8 +327,13 @@ def formula(person, period, parameters): "taxable_dividend_income", "taxable_miscellaneous_income", ] + if not parameters( + period + ).gov.hmrc.income_tax.reliefs.non_domiciled_status: + COMPONENTS.append("worldwide_income") if parameters( period ).gov.contrib.ubi_center.basic_income.interactions.include_in_taxable_income: COMPONENTS.append("basic_income") + print(COMPONENTS) return max_(0, add(person, period, COMPONENTS)) diff --git a/policyengine_uk/variables/household/income/worldwide_income.py b/policyengine_uk/variables/household/income/worldwide_income.py new file mode 100644 index 000000000..8c30dd50a --- /dev/null +++ b/policyengine_uk/variables/household/income/worldwide_income.py @@ -0,0 +1,54 @@ +from policyengine_uk.model_api import * + + +class is_non_domiciled(Variable): + label = "non-domiciled" + documentation = "Whether the person is non-domiciled for tax purposes." + entity = Person + definition_period = YEAR + value_type = bool + + def formula(person, period, parameters): + if not hasattr(person.simulation, "dataset"): + return 0 + if person.simulation.dataset.name != "enhanced_frs": + return 0 + total_income = person("total_income", period) + non_dom = parameters(period).gov.simulation.non_domiciled_status + weight = person("person_weight", period) + + thresholds = non_dom.proportion_by_income.thresholds + shares_of_non_doms = non_dom.proportion_by_income.amounts + probabilities = np.zeros_like(total_income) + ADJUSTMENT_FACTOR = 0.0035 + for i in range(len(thresholds)): + lower = thresholds[i] + upper = thresholds[i + 1] if i + 1 < len(thresholds) else np.inf + in_range = (total_income >= lower) & (total_income < upper) + total_population = weight[in_range].sum() + percent_non_dom = shares_of_non_doms[i] / total_population + probabilities[in_range] = 1 - (1 - percent_non_dom) * ( + 1 - ADJUSTMENT_FACTOR + ) + + return random(person) < probabilities + + +class worldwide_income(Variable): + label = "worldwide income" + documentation = "Income not taxed due to non-domiciled status." + entity = Person + definition_period = YEAR + value_type = float + unit = GBP + + def formula(person, period, parameters): + ADJUSTMENT_FACTOR = 0.72 # Gets 3.2bn from abolishing non-dom status + total_income = person("total_income", period) + is_non_dom = person("is_non_domiciled", period) + + return where( + is_non_dom, + total_income * ADJUSTMENT_FACTOR, + 0, + ) From c2aed46ad43a13699fc020d8e4a47da3ac746f26 Mon Sep 17 00:00:00 2001 From: Nikhil Woodruff Date: Fri, 28 Jun 2024 16:49:36 +0100 Subject: [PATCH 2/5] Fix bug --- policyengine_uk/variables/gov/hmrc/income_tax/relief.py | 1 - policyengine_uk/variables/household/income/worldwide_income.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/policyengine_uk/variables/gov/hmrc/income_tax/relief.py b/policyengine_uk/variables/gov/hmrc/income_tax/relief.py index 606e61367..456c24400 100644 --- a/policyengine_uk/variables/gov/hmrc/income_tax/relief.py +++ b/policyengine_uk/variables/gov/hmrc/income_tax/relief.py @@ -335,5 +335,4 @@ def formula(person, period, parameters): period ).gov.contrib.ubi_center.basic_income.interactions.include_in_taxable_income: COMPONENTS.append("basic_income") - print(COMPONENTS) return max_(0, add(person, period, COMPONENTS)) diff --git a/policyengine_uk/variables/household/income/worldwide_income.py b/policyengine_uk/variables/household/income/worldwide_income.py index 8c30dd50a..330b78850 100644 --- a/policyengine_uk/variables/household/income/worldwide_income.py +++ b/policyengine_uk/variables/household/income/worldwide_income.py @@ -43,7 +43,7 @@ class worldwide_income(Variable): unit = GBP def formula(person, period, parameters): - ADJUSTMENT_FACTOR = 0.72 # Gets 3.2bn from abolishing non-dom status + ADJUSTMENT_FACTOR = 2 # Gets 3.2bn from abolishing non-dom status total_income = person("total_income", period) is_non_dom = person("is_non_domiciled", period) From 8935864319e099b6f8ed562b187acc4d6721b2e6 Mon Sep 17 00:00:00 2001 From: Nikhil Woodruff Date: Fri, 28 Jun 2024 17:27:06 +0100 Subject: [PATCH 3/5] Update scaling factors --- policyengine_uk/data/datasets/frs/enhanced_frs.py | 2 +- .../non_domiciled_status/proportion_by_income.yaml | 2 +- .../variables/household/income/worldwide_income.py | 14 +++++++++----- 3 files changed, 11 insertions(+), 7 deletions(-) diff --git a/policyengine_uk/data/datasets/frs/enhanced_frs.py b/policyengine_uk/data/datasets/frs/enhanced_frs.py index 718d86f57..fe1aebedf 100644 --- a/policyengine_uk/data/datasets/frs/enhanced_frs.py +++ b/policyengine_uk/data/datasets/frs/enhanced_frs.py @@ -153,7 +153,7 @@ class EnhancedFRS(Dataset): data_format = Dataset.TIME_PERIOD_ARRAYS num_years = 7 time_period = 2021 - count_copies = 4 + count_copies = 9 url = "release://policyengine/non-public-microdata/uk-2024-march-efo/enhanced_frs.h5" def generate(self): diff --git a/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml b/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml index 9f077c913..d499b02bc 100644 --- a/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml +++ b/policyengine_uk/parameters/gov/simulation/non_domiciled_status/proportion_by_income.yaml @@ -3,7 +3,7 @@ brackets: - threshold: 2022-01-01: 0 amount: - 2022-01-01: 0.03 + 2022-01-01: 0 # Actually 0.03 but 0 to be safe - threshold: 2022-01-01: 100_000 amount: diff --git a/policyengine_uk/variables/household/income/worldwide_income.py b/policyengine_uk/variables/household/income/worldwide_income.py index 330b78850..47fbc98e9 100644 --- a/policyengine_uk/variables/household/income/worldwide_income.py +++ b/policyengine_uk/variables/household/income/worldwide_income.py @@ -20,16 +20,20 @@ def formula(person, period, parameters): thresholds = non_dom.proportion_by_income.thresholds shares_of_non_doms = non_dom.proportion_by_income.amounts probabilities = np.zeros_like(total_income) - ADJUSTMENT_FACTOR = 0.0035 + ADJUSTMENT_FACTOR = 1e3 for i in range(len(thresholds)): lower = thresholds[i] upper = thresholds[i + 1] if i + 1 < len(thresholds) else np.inf in_range = (total_income >= lower) & (total_income < upper) total_population = weight[in_range].sum() - percent_non_dom = shares_of_non_doms[i] / total_population - probabilities[in_range] = 1 - (1 - percent_non_dom) * ( - 1 - ADJUSTMENT_FACTOR + percent_non_dom = where( + total_population == 0, + 0, + shares_of_non_doms[i] / total_population, ) + probability = 1 - (1 - percent_non_dom) ** ADJUSTMENT_FACTOR + probabilities[in_range] = probability + print(thresholds[i], probability, percent_non_dom) return random(person) < probabilities @@ -43,7 +47,7 @@ class worldwide_income(Variable): unit = GBP def formula(person, period, parameters): - ADJUSTMENT_FACTOR = 2 # Gets 3.2bn from abolishing non-dom status + ADJUSTMENT_FACTOR = 2.7 # Gets 3.2bn from abolishing non-dom status total_income = person("total_income", period) is_non_dom = person("is_non_domiciled", period) From 9c54752ff800bed5c46f88edce155c475e5bada5 Mon Sep 17 00:00:00 2001 From: Nikhil Woodruff Date: Fri, 28 Jun 2024 17:31:26 +0100 Subject: [PATCH 4/5] Update BRMAs --- enhanced_frs_brmas.csv.gz | Bin 0 -> 259586 bytes .../data/gov/enhanced_frs_brmas.csv.gz | Bin 130514 -> 259586 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 enhanced_frs_brmas.csv.gz diff --git a/enhanced_frs_brmas.csv.gz b/enhanced_frs_brmas.csv.gz new file mode 100644 index 0000000000000000000000000000000000000000..423da14ebed7a020f9dd964375b07db6d2fbca64 GIT binary patch literal 259586 zcmV()@r2Wfw9LKT*3eNRc zkXRzI1OZwAc_@vzy5~K)|3A1@84>PgZsw7R-IKjV5~#|Ihd<5D{=fgv|L_0v+aKR< z?>}!ZFTeip>E-42-*3O)UjBUg`2O4T>+9|P*T>tB@85p?ynTHC_44-mCZpk-oG4w`gMHQZ%_Zd zAAkIa7aY&<<@SH~FPmTd{oC`?>u+Cv{Qc+q^X=o;)9aUCU+=5(_Velf1W)f@p8x#w zw=cK%-yeVa`}gVU-tIr_wh`>{(E{KAM?-sgFnW9K7YL2 ze!czq>*w>=Z{L6W`1bzx&)ACb<$t`rzurIXWvuqE-|u^Kd;j?DkN2ma_apb~{r3Fz z{<6RQb9?&h^3<%dG;j9tvGeHtb^pA#pU0#B_WRR)2k&QbtjxIb?t{NPy}#U# z&EwbM2+CE4!~F5|^8E4pkNf={YxLvw_ow&!@8f&Deu2A*MhBNqPRcsUzrR0yd0h4R zJM-+6O>y?%`1JBX=AFlW;>q~_-|Ow;`OA$@(D8?#&oAG{uYLXT{Bk^(`G7y4|GfY5 z`|aPyV%;yy{kQKMbX=dWFHe8Jy+8hDZT0@U3-#rx50k##UjF_#-tYU<{fOUR@A&7Bx4&

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