merge

.github/workflows/build_and_test.yml

@@ -34,7 +34,7 @@ jobs:
         shell: bash -l {0}
         working-directory: ./
         run: |
-          pytest -m 'not requires_pufcsv and not requires_tmdcsv and not pre_release and not local' --cov=./ --cov-report=xml
+          pytest -m 'not requires_pufcsv and not pre_release and not local' --cov=./ --cov-report=xml
       - name: Upload coverage to Codecov
         if: matrix.os == 'ubuntu-latest' && contains(github.repository, 'PSLmodels/Tax-Calculator')
         uses: codecov/codecov-action@v4

MANIFEST.in

@@ -7,5 +7,3 @@ include taxcalc/policy_current_law.json
 include taxcalc/puf_weights.csv.gz
 include taxcalc/puf_ratios.csv
 include taxcalc/records_variables.json
-include taxcalc/tmd_weights.csv.gz
-include taxcalc/tmd_growfactors.csv

Makefile

@@ -13,7 +13,7 @@ help:
 	@echo "clean      : remove .pyc files and local taxcalc package"
 	@echo "package    : build and install local package"
 	@echo "pytest-cps : generate report for and cleanup after"
-	@echo "             pytest -m 'not requires_pufcsv and not requires_tmdcsv and not pre_release'"
+	@echo "             pytest -m 'not requires_pufcsv and not pre_release'"
 	@echo "pytest     : generate report for and cleanup after"
 	@echo "             pytest -m 'not pre_release'"
 	@echo "pytest-all : generate report for and cleanup after"
@@ -51,7 +51,7 @@ endef
 .PHONY=pytest-cps
 pytest-cps:
 	@$(pytest-setup)
-	@cd taxcalc ; pytest -n4 --disable-warnings --durations=0 --durations-min=2 -m "not requires_pufcsv and not requires_tmdcsv and not pre_release"
+	@cd taxcalc ; pytest -n4 --disable-warnings --durations=0 --durations-min=2 -m "not requires_pufcsv and not pre_release"
 	@$(pytest-cleanup)
 
 .PHONY=pytest
@@ -103,7 +103,7 @@ define coverage-cleanup
 rm -f .coverage htmlcov/*
 endef
 
-COVMARK = "not requires_pufcsv and not requires_tmdcsv and not pre_release"
+COVMARK = "not requires_pufcsv and not pre_release"
 
 OS := $(shell uname -s)
 

codecov.yml

@@ -21,5 +21,6 @@ comment:
 
 ignore:
   - "setup.py"
+  - "update_pcl.py"
   - "ppp.py"
   - "extend_tcja.py"

docs/about/releases.md

@@ -3,6 +3,29 @@ Release history
 Go [here](https://github.com/PSLmodels/Tax-Calculator/pulls?q=is%3Apr+is%3Aclosed)
 for a complete commit history.
 
+
+2024-10-02 Release 4.3.0
+------------------------
+(last merged pull request is
+[#2819](https://github.com/PSLmodels/Tax-Calculator/pull/2819))
+
+**This is an enhancement and bug-fix release.**
+
+**API Changes**
+
+**New Features**
+- Add known values of inflation-indexed policy parameters for 2023 [[#2806](https://github.com/PSLmodels/Tax-Calculator/pull/2806) by Martin Holmer]
+- Enhance `Records.tmd_constructor` static method [[#2809](https://github.com/PSLmodels/Tax-Calculator/pull/2809) by Martin Holmer]
+- Remove TMD data files from Tax-Calculator repository [[#2810](https://github.com/PSLmodels/Tax-Calculator/pull/2810) by Martin Holmer]
+- Add known values of inflation-indexed policy parameters for 2024 [[#2816](https://github.com/PSLmodels/Tax-Calculator/pull/2816) by Martin Holmer]
+- Enhance `extend_tcja.py` and update `reforms/ext.json` [[#2817](https://github.com/PSLmodels/Tax-Calculator/pull/2817) by Martin Holmer]
+- Enhance `ppp.py` script [[#2819](https://github.com/PSLmodels/Tax-Calculator/pull/2819) by Martin Holmer]
+
+**Bug Fixes**
+- Fix specification of domestic production deduction under TCJA [[#2807](https://github.com/PSLmodels/Tax-Calculator/pull/2807) by Martin Holmer]
+- Fix `ALD_BusinessLosses_c` parameter values after 2025 [[#2818](https://github.com/PSLmodels/Tax-Calculator/pull/2818) by Martin Holmer]
+
+
 2024-09-14 Release 4.2.2
 ------------------------
 (last merged pull request is

docs/contributing/RELEASING.md

@@ -1,10 +1,12 @@
 Releasing Tax-Caclculator Packages
 ==================================
 
-The following outlines the process to release Tax-Calculator Packages on Conda-Forge and creating a new branch to fix a bug in a previous release.
+The following outlines the process to release Tax-Calculator Packages
+on Conda-Forge and creating a new branch to fix a bug in a previous
+release.
 
 Create new `taxcalc` packages
-===========================
+=============================
 ```
 
 --> on branch X-Y-Z, edit docs/about/releases.md to finalize X.Y.Z info
@@ -13,6 +15,12 @@ Create new `taxcalc` packages
 
 --> merge master branch into X-Y-Z branch
 
+--> run `python update_pcl.py`  [to update policy_current_law.json if needed]
+
+--> run `python ppp.py`  [to update policy_current_law.json if needed]
+
+--> run `python extend_tcja.py > ext.json`  [to update reforms/ext.json]
+
 --> run `make tctest-jit`  [to make sure JIT decorators are not hiding bugs]
 
 --> run `make pytest-all`  [or `pytest -m pre_release -n4` in taxcalc subdir]

docs/index.md

@@ -57,7 +57,7 @@ The cross-model validation work with NBER's TAXSIM-27 model is described
 
 ## Latest release
 
-{doc}`4.2.2 (2024-09-14) <about/releases>`
+{doc}`4.3.0 (2024-10-02) <about/releases>`
 
 If you are already using Tax-Calculator, upgrade using the following command:
 

docs/usage/data.md

@@ -61,13 +61,16 @@ file.
 
 The [tax-microdata
 repository](https://github.com/PSLmodels/tax-microdata-benchmarking)
-produces an input variables file (`tmd.csv`) and a
-`tmd_weights.csv.gz` file that is included in the Tax-Calculator
+produces an input variables file (`tmd.csv`), a national weights file
+(`tmd_weights.csv.gz`), and a variable growth factors file
+(`tmd_growfactors.csv`) that can be used with the Tax-Calculator
 package beginning with the 3.6.0 release.  The `tmd.csv` file is
 available only to Tax-Calculator users who have purchased their own
-version of the 2015 IRS-SOI PUF.  For those users, the
-`Records.tmd_constructor()` method creates a `Records` class object
-containing the `tmd` variables and weights.
+version of the 2015 IRS-SOI PUF.  For those users, those three files
+are avaiable from the tax-microdata repository.  These three tmd files
+can be used with the Tax-Calculator Python API (using the 
+`Records.tmd_constructor()` static method) or with the Tax-Calculator
+CLI tool, `tc`.
 
 ## Using other data with Tax-Calculator
 

extend_tcja.py

@@ -3,10 +3,15 @@
 extend_tcja.json, that can serve as an alternative baseline to
 current-law policy (which ends TCJA temporary provisions after 2025).
 
-USAGE: (taxcalc-dev) ~% python extend_tcja.py
+USAGE: (taxcalc-dev) Tax-Calculator% python extend_tcja.py > ext.json
+  THEN CHECK:                      % diff ext.json taxcalc/reforms/ext.json
+  IF DIFFS:                        % mv ext.json taxcalc/reforms/ext.json
 
-IMPORTANT NOTE: be sure to remove the trailing comma after the last item
-                in the reform JSON object generated by this script.
+WHEN TO USE: use this script to update reforms/ext.json in these situations:
+(a) whenever inflation rates in the growfactors.csv files are changed
+OR
+(b) whenever inflation-indexed parameters are updated (usually as part
+    of changes that increase the value of Policy.LAST_KNOWN_YEAR).
 """
 
 import sys
@@ -76,64 +81,82 @@
     "PT_qbid_alt_property_rt": {"indexed": False, "category": 7},
     # category 8 ...
     "ALD_BusinessLosses_c": {"indexed": True, "category": 8},
-    "ALD_DomesticProduction_hc": {"indexed": False, "category": 8},
 }
 
 
 def main():
     """
     High-level script logic.
     """
+    # identify last parameter name in TCJA_PARAMETERS
+    last_pname = list(TCJA_PARAMETERS.keys())[-1]
     # calculate 2025-to-2026 parameters indexing factor
     pol = taxcalc.Policy()
     pirates = pol.inflation_rates()
-    ifactor = 1.0 + pirates[2025-taxcalc.Policy.JSON_START_YEAR]
+    ifactor25 = 1.0 + pirates[2025-taxcalc.Policy.JSON_START_YEAR]
+    ifactor28 = 1.0 + pirates[2028-taxcalc.Policy.JSON_START_YEAR]
     # specify extend-TCJA-beyond-2025 reform
     # ... get 2025 parameter values
     pol.set_year(2025)
     pdata = dict(pol.items())
     # ... write reform header comments
     print( '// REFORM TO EXTEND TEMPORARY TCJA PROVISIONS BEYOND 2025')
     print(f'// USING TAX-CALCULATOR {taxcalc.__version__}')
-    print(f'// WITH 2025-to-2026 INDEXING FACTOR = {ifactor:.6f}')
+    print(f'// WITH 2025-to-2026 INDEXING FACTOR = {ifactor25:.6f}')
+    print(f'//  AND 2028-to-2029 INDEXING FACTOR = {ifactor28:.6f}')
     if TCJA_CATEGORY:
         print(f'// ONLY TCJA PROVISIONS IN CATEGORY {TCJA_CATEGORY}')
     print('{')
-    # ... set 2026 nonreverted values for the parameters set to revert
+    # ... set 2026/29 nonreverted values for the parameters set to revert
+    left_brace = '{'
+    right_brace = '}'
+    year = 2026
     for pname, pinfo in TCJA_PARAMETERS.items():
         if TCJA_CATEGORY and pinfo['category'] != TCJA_CATEGORY:
             continue  # skip this parameter
+        if pname == 'ALD_BusinessLosses_c':
+            ifactor = ifactor28
+            year = 2029
+            pol.set_year(2028)
+            pdata = dict(pol.items())
+        else:
+            if year != 2026:
+                pol.set_year(2025)
+                pdata = dict(pol.items())
+            ifactor = ifactor25
+            year = 2026
+        trailing_comma = '' if pname == last_pname else ','
         if pinfo['indexed']:
             pval = pdata[pname][0] * ifactor
             if isinstance(pval, numpy.ndarray):
                 # handle vector parameter
                 pval = numpy.minimum(9e99, pval.round(2))
                 sys.stdout.write(f'    "{pname}": ')
-                sys.stdout.write('{"2026": ')
+                sys.stdout.write(f'{left_brace}"{year}": ')
                 sys.stdout.write(f'{pval.tolist()}')
-                sys.stdout.write('},\n')
+                sys.stdout.write(f'{right_brace}{trailing_comma}\n')
             else:
                 # handle scalar parameter
                 pval = min(9e99, pval)
                 sys.stdout.write(f'    "{pname}": ')
-                sys.stdout.write('{"2026": ')
+                sys.stdout.write(f'{left_brace}"{year}": ')
                 sys.stdout.write(f'{pval*ifactor:.2f}')
-                sys.stdout.write('},\n')
+                sys.stdout.write(f'{right_brace}{trailing_comma}\n')
         else:  # if parameter is not indexed
             pval = pdata[pname][0]
             if isinstance(pval, numpy.ndarray):
                 # handle vector parameter
                 pval = numpy.minimum(9e99, pval.round(2))
                 sys.stdout.write(f'    "{pname}": ')
-                sys.stdout.write('{"2026": ')
+                sys.stdout.write(f'{left_brace}"{year}": ')
                 sys.stdout.write(f'{pval.tolist()}')
-                sys.stdout.write('},\n')
+                sys.stdout.write(f'{right_brace}{trailing_comma}\n')
             else:
                 # handle scalar parameter
                 sys.stdout.write(f'    "{pname}": ')
-                sys.stdout.write('{"2026": ')
+                sys.stdout.write(f'{left_brace}"{year}": ')
                 sys.stdout.write(f'{pval:.2f}')
-                sys.stdout.write('},\n')
+                sys.stdout.write(f'{right_brace}{trailing_comma}\n')
     print('}')
     return 0
 # end main function code