ALI-Tax-Analyzer: Change Log

Add before-tax income and after-tax income Gini coefficients for both current law and the reform to the CLI/GUI table output.
Test model using Tax-Analyzer-Framework version 4.12.0, which is now required.

Revise installation documentation to indicate that a 64-bit Anaconda Python distribution must be installed in order to use the tax model.
Streamline the no_flat_tax logic without making any substantive tax logic changes.
Test model using Tax-Analyzer-Framework version 4.10.0, which is now required.

Change default definition of fullinc so that full income equals gross income, meaning that full income excludes the employer share of social security contribution (payroll) taxes.
Add ssc_er_in_fullinc calcoptions parameter, whose default value is false, and associated logic, so that there is an option to include the employer share of social security contribution (payroll) taxes in full income as is often done in tax analysis.

Test model using Tax-Analyzer-Framework version 4.7.0, which is now required.
Add two calculation-option parameters that permit PIT taxes to be ignored and/or SSC taxes to be ignored; these option parameters can be specified on the new GUI Calcopts page.
Add an SQL script that generates from dump output a tax table where the bins are defined by income levels, providing an alternative to the standard tax table where the bins are defined as income deciles.
Put the tax data file in an encrypted and password-protected zip file.
Include the employer-share of SSC taxes as part of full income.
Add a no_flat_tax policy parameter that taxes all income using the progressive tax schedule now used only for employment income.
Add another tax bracket to the progressive tax schedule bringing the total number to five.
Include imputed values for missing non-employment income among non-DIVA taxpayers and include them in the all.csv input data file.
Add a calculation-option parameter that permits all imputed missing incomes to be set to zero; the default value of this parameter is false; the value of this calculation-option parameter can be specified on the new GUI Calcopts page.

Use the new features in Tax-Analyzer-Framework version 4.6, which is now required, to improve cross-sectional graph output in two ways:
- Add to each cross-sectional graph output file a new column that includes the value of income at the bottom of each income percentile;
- Correct the cross-sectional graphing capability that handles income distributions with large mass points (that is, bunched incomes).
Change CLI test cases to have tax year 2019 instead of 2018.

Create a new default model input data file containing 802,794 individuals by integrating information from three 2019 files provided by the Albania General Directorate of Taxation (GDT).
Provide enhanced graphing capabilities so that cross-sectional graphs can be created even if the percentile income distribution has large mass points (that is, incomes are bunched).

Initial version of ALI-Tax-Analyzer model that uses 2018 annual-declaration-form data on 9196 individuals to estimate personal income taxes and social security contributions.