Fiscal Policy Impact Modeling

I need a rigorous but practical economic model that lets me test how a proposed tax, subsidy, or other government-spending adjustment would ripple through public finances. The core question is simple: if we tweak a specific fiscal lever, what happens to government revenue and the composition of public spending over time? Here is what I’m after: • A transparent, well-documented quantitative model (Excel, R, Python, or a small-scale CGE framework—your call as long as the logic is clear). • Baseline calibration from publicly available macro-fiscal data; please note your data sources. • Scenario functionality so I can vary policy parameters and instantly see changes in revenue, deficits/surpluses, and any knock-on expenditure effects. • A concise walkthrough of assumptions, equations, and limitations, plus a short memo interpreting the headline results. Acceptance Criteria 1. Model reproduces recent historical figures within an acceptable margin. 2. At least three policy scenarios are built in (e.g., +1 pp VAT, targeted subsidy removal, or a 5 % spending increase). 3. Outputs include tables and clear charts summarizing revenue shifts and spending impacts for each scenario. 4. All code, formulas, and links to raw data are delivered in an editable format. If you have prior experience building fiscal or tax-incidence models and can turn this around efficiently, let’s discuss your proposed structure and timeline.