Aegis
106 layers, one platform
Applied economics analysis platform. Integrates trade, macro, labor, development, and agricultural economics into a single AI-augmented framework with real data from 13 public sources. 1,268 modules across 106 analytical layers, 12 econometric estimators, and an AI brain with 24 tools.
What problem this solves
Proprietary lock-in
Bloomberg, Refinitiv, EViews dominate applied economic analysis. Methodologies are opaque, licensing costs exclude researchers in developing countries, and reproducibility is impossible. Aegis is open, transparent, and free.
Narrow tooling
Open-source alternatives like statsmodels or individual R packages cover single methods well but offer no integrated framework spanning trade, macro, labor, development, and agriculture. 106 layers, one coherent platform.
Fragmented sources
Economists spend more time wrangling data from incompatible APIs (FRED, World Bank, ILO, FAOSTAT, Comtrade) than analyzing it. Aegis ships with 12 collectors and a unified schema, real data, no mocks.
106 analytical layers (18 core shown)
Each layer is independently useful. Together they produce a composite economic analysis with Shapley attribution across domains.
Trade
Gravity models, RCA, PPML, CBAM simulation, terms of trade, trade costs, product space.
Macro
GDP decomposition, Phillips curve, Taylor rule, yield curve, VAR/BVAR, FCI, fiscal sustainability.
Labor
Mincer wages, Oaxaca-Blinder, Beveridge curve, Bartik shift-share IV, LFP, skill premium.
Development
Convergence, poverty traps, Solow residual, institutions, HDI, aid effectiveness, structural transformation.
Agricultural
AIDS demand system, food security indices, GARCH commodity prices, climate-yield, supply elasticities.
Integration
Composite scoring, Shapley attribution, crisis comparison, cross-domain correlations, scenario simulation.
Financial
Banking sector, credit dynamics, financial stability, Basel metrics, systemic risk.
Health
Health system efficiency, disease burden, expenditure analysis, pharmaceutical pricing, insurance markets.
Environmental
Carbon pricing, green transition costs, pollution-growth, natural capital, ecosystem valuation, climate policy.
Public
Public finance, tax incidence, social protection, public investment multipliers, fiscal federalism.
Spatial
Regional convergence, urban-rural, agglomeration, geographic concentration, location choice.
Political
Political economy of reform, rent-seeking, regulatory capture, electoral cycles, governance.
Behavioral
Bias measurement, nudge effectiveness, prospect theory, household decisions, experimental methods.
Industrial
Market structure, concentration, markup estimation, entry barriers, supply chain resilience, IP evaluation.
Monetary
Transmission mechanisms, ER pass-through, inflation dynamics, central bank credibility, currency crisis EWS.
Energy
Demand elasticities, fossil fuel subsidies, renewable transition, energy security, price spillovers.
Demographic
Population economics, demographic dividend, aging and fiscal sustainability, migration, human capital.
Methods
Cross-cutting econometric tools, simulation engines, bootstrap inference, sensitivity analysis, replication.
Real data, no mocks
Every metric is backed by a public, verifiable source. Twelve collectors pull from official statistical agencies and international organizations.
Twelve econometric methods
Ported from the Delphi toolkit. Each estimator produces publication-ready tables, diagnostic tests, and coefficient plots.
Built with
Domain experience, not just code
Aegis's analytical layers map directly to professional and academic experience. Trade economics comes from a PhD in Economics at the University of Tennessee, with published research on gravity models, freight rates, and trade policy (5 journal publications). Macro-financial analysis is informed by five years at Bangladesh Bank, where I worked on monetary policy implementation, Basel III compliance, and early-warning systems. Labor and development economics draw from postdoctoral research and coursework in development microeconomics, labor markets, and institutional analysis. Agricultural economics is the core of my doctoral training, covering demand estimation, food security, and climate-yield modeling.
Aegis exists because applied economics research should be reproducible, transparent, and accessible. Every module uses real data from public sources. Every estimator is tested. The platform is what I wished existed when I started my PhD.