An overlapping generations model framework for evaluating fiscal policies.
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Updated
Feb 3, 2026 - Python
An overlapping generations model framework for evaluating fiscal policies.
Portal for the course "Economic Slack" at UCSC [ECON 221]
Overlapping-generations macroeconomic model for evaluating fiscal policy in the United States
Phase diagrams from the paper "Resolving New Keynesian Anomalies with Wealth in the Utility Function"
Overlapping-generations macroeconomic model for evaluating fiscal policy in South Africa
Overlapping-generations macroeconomic model for evaluating fiscal policy in the Philippines
Overlapping-generations macroeconomic model for evaluating fiscal policy in Indonesia
An overlapping generations model to simulate fiscal policy the United Kingdom.
Overlapping-generations macroeconomic model for evaluating fiscal policy in Malaysia
A Python workflow implementing the classical IS–LM framework, allowing you to compute equilibrium output and interest rates, simulate fiscal (G) and monetary (M) shocks, and visualize results across the goods, money, and aggregate demand–supply markets.
Code and data for the paper "A Theory of Countercyclical Government Multiplier"
Overlapping-generations macroeconomic model of Ethiopia
Code and data for the paper "Optimal Public Expenditure with Inefficient Unemployment"
This project investigates the monetary transmission mechanism along with IS-LM Curve and the short-run Phillips Curve in Japan over the period 2000–2025
Code and information on the analysis of Illinois' expenditures and revenues. Any errors with code or findings are the fault of the author, not the research institute.
Overlapping Generations Model for India
Optimal indexation of GDP-linked debt
Data-driven analysis of India's political economy (2014-2025) — policy impact, fiscal trends, and governance indicators with interactive visualisations.
Code and data for FY2023 Illinois Fiscal Futures Report.
This project analyzes the impact of balance sheet expansions, government transfers, and government spending during the 2007–2009 and 2020 recessions. Using quarterly data from 2002–2024, it employs VAR models, IRFs, and Granger causality tests to assess effects on output, inflation, and employment in R.
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