Tier 4

economic_research

Systematic analysis of economic viability, cost structures, and comparative advantage

Usage in Claude Code: /economic_research your question here

Economic Research

Overview

Systematic analysis of economic viability, cost structures, and comparative advantage

Steps

Step 1: Framework selection

Choose appropriate analytical frameworks for the question:

FOR INDUSTRY ANALYSIS:

  • Porter’s Five Forces: Competitive dynamics assessment
    • Supplier power, buyer power, threat of entry, substitutes, rivalry
  • Value chain analysis: Where value is created/captured
    • Primary activities, support activities, margin analysis
  • Comparative advantage: Why here vs. elsewhere
    • Factor conditions, demand conditions, related industries, strategy

FOR VIABILITY ASSESSMENT:

  • Cost-benefit analysis: Total costs vs. total benefits
  • Break-even analysis: Volume/price needed for profitability
  • Sensitivity analysis: How outcomes change with key variables
  • Total cost of ownership: Full lifecycle costs

FOR POLICY ANALYSIS:

  • Economic impact assessment: Jobs, GDP, tax revenue
  • Multiplier effects: Direct, indirect, induced impacts
  • Distributional analysis: Who benefits, who bears costs

Select 2-3 frameworks most relevant to the question.

Step 2: Data collection

Gather relevant economic data systematically:

GOVERNMENT STATISTICS:

  • Bureau of Labor Statistics (BLS): Wages, employment, productivity
  • Census Bureau: Industry statistics, trade data
  • Bureau of Economic Analysis (BEA): GDP, input-output tables
  • International: OECD, World Bank, IMF databases

INDUSTRY SOURCES:

  • IBISWorld, Statista: Industry reports and market data
  • Trade associations: Industry-specific statistics
  • Company filings: Public company financials (10-K, earnings)

ACADEMIC/RESEARCH:

  • NBER working papers: Economic research
  • Federal Reserve: Regional economic data
  • Think tanks: Policy research and analysis

KEY DATA TYPES TO COLLECT:

  • Cost structures: Labor, materials, energy, capital, logistics
  • Market data: Size, growth, segments, pricing
  • Trade flows: Imports, exports, tariffs
  • Productivity: Output per worker, efficiency metrics
  • Comparative data: Across geographies, time periods, competitors

Document data sources, dates, and any quality concerns.

Step 3: Cost structure analysis

Break down and compare cost components:

DIRECT COSTS:

  • Labor: Wages, benefits, payroll taxes
    • Include productivity adjustments (output per hour)
  • Materials: Raw materials, components, packaging
    • Include quality differences and waste rates
  • Energy: Electricity, fuel, utilities
    • Include reliability and price volatility

INDIRECT COSTS:

  • Capital: Equipment, facilities, depreciation
    • Include financing costs and utilization rates
  • Logistics: Transportation, warehousing, inventory
    • Include lead times and supply chain risks
  • Regulatory: Compliance, permits, environmental
    • Include uncertainty and change risk
  • Overhead: Management, support functions, IT

HIDDEN/OFTEN-MISSED COSTS:

  • Quality costs: Defects, rework, warranty
  • Coordination costs: Managing distant operations
  • IP protection: Risks and mitigation costs
  • Currency risk: Exchange rate exposure
  • Inventory carrying: Working capital tied up

Compare across:

  • Geographies (domestic vs. foreign alternatives)
  • Time periods (historical trends, future projections)
  • Competitors (relative cost position)

Step 4: Market dynamics analysis

Analyze supply and demand factors:

DEMAND SIDE:

  • Market size: Current and projected (units, dollars)
  • Growth drivers: What’s driving demand up/down
  • Customer segments: Who buys, different needs/willingness to pay
  • Price sensitivity: Elasticity, value vs. price competition
  • Demand stability: Cyclicality, seasonality, volatility

SUPPLY SIDE:

  • Current capacity: Existing production capacity utilization
  • Competitor landscape: Major players, market shares, strategies
  • Barriers to entry: Capital, technology, regulation, relationships
  • Supply chain: Key suppliers, concentration, dependencies
  • Capacity trends: New entrants, expansions, exits

MARKET DYNAMICS:

  • Competitive intensity: How fierce is competition
  • Pricing power: Can you set prices or are you price-taker
  • Technology disruption: Emerging technologies that could change market
  • Regulatory changes: Policy shifts affecting market
  • Substitution risk: Alternative products/solutions

Apply Porter’s Five Forces if selected in Step 1.

Step 5: Comparative advantage assessment

Evaluate competitive positioning using Diamond Model:

FACTOR CONDITIONS:

  • Natural resources: Raw material availability and cost
  • Human resources: Skilled labor availability, education, training
  • Knowledge resources: R&D capabilities, innovation infrastructure
  • Capital resources: Access to financing, investment
  • Infrastructure: Transportation, communications, utilities

DEMAND CONDITIONS:

  • Domestic market: Size, sophistication, growth
  • Customer expectations: Quality standards, innovation demands
  • Early adopter presence: Lead users driving innovation

RELATED/SUPPORTING INDUSTRIES:

  • Supplier ecosystem: Proximity and capability of suppliers
  • Complementary industries: Supporting services and products
  • Cluster effects: Agglomeration benefits

FIRM STRATEGY AND RIVALRY:

  • Competitive intensity: Local competition driving improvement
  • Management practices: Quality of business leadership
  • Investment orientation: Long-term vs. short-term focus

GOVERNMENT AND CHANCE:

  • Policy environment: Supportive vs. restrictive policies
  • Trade policy: Tariffs, agreements, barriers
  • Stability: Political and economic predictability

Compare positioning across alternatives.

Step 6: Scenario modeling

Model outcomes under different assumptions:

BASE CASE:

  • Most likely assumptions
  • Expected values for key variables
  • Probability-weighted expectations
  • Result: Expected outcome

OPTIMISTIC CASE:

  • Favorable conditions (top 10-20% outcomes)
  • What would have to go right
  • Assumptions: Strong demand, lower costs, supportive policy
  • Result: Upside potential

PESSIMISTIC CASE:

  • Unfavorable conditions (bottom 10-20% outcomes)
  • What could go wrong
  • Assumptions: Weak demand, cost overruns, adverse policy
  • Result: Downside risk

SENSITIVITY ANALYSIS:

  • Which variables matter most?
  • How much does outcome change with each?
  • What are the break-even points?
  • Which assumptions are most uncertain?

KEY VARIABLES TO TEST:

  • Demand growth rate
  • Key input costs (labor, materials, energy)
  • Exchange rates (if international)
  • Capacity utilization
  • Pricing/margin assumptions
  • Policy/regulatory changes

Build simple financial model if appropriate.

Step 7: Synthesis and recommendation

Integrate findings into actionable conclusions:

  1. KEY FINDINGS SUMMARY

    • What did each analysis reveal?
    • What are the most important data points?
    • What surprised us or challenged assumptions?
  2. VIABILITY ASSESSMENT

    • Viable: Positive economics under realistic assumptions
    • Marginal: Viable only with specific conditions or investments
    • Not viable: Negative economics unlikely to be overcome
  3. CRITICAL SUCCESS FACTORS

    • What must be true for success?
    • What investments or changes are required?
    • What external conditions are needed?
  4. KEY RISKS

    • Biggest threats to viability
    • Probability and impact of each
    • Mitigation strategies available
  5. RECOMMENDATIONS

    • Proceed: Move forward with identified investments/conditions
    • Modify: Adjust scope, timing, or approach
    • Abandon: Do not pursue, economics unfavorable
    • Investigate: Need more information before deciding
  6. CONFIDENCE ASSESSMENT

    • How confident are we in the analysis?
    • What would change the conclusion?
    • What additional research would help?

Document all assumptions explicitly.

When to Use

  • Evaluating manufacturing reshoring or offshoring decisions
  • Analyzing industry competitiveness and market positioning
  • Policy analysis for economic development initiatives
  • Large-scale capital investment decisions
  • Market entry feasibility assessment
  • Supply chain restructuring analysis
  • Comparative advantage assessment between locations
  • Cost-benefit analysis for major projects

Verification

  • Analysis uses credible, documented data sources
  • Cost components are comprehensive (direct, indirect, hidden)
  • Both demand and supply factors analyzed
  • Multiple scenarios considered with sensitivity
  • Key assumptions explicitly documented
  • Conclusion follows logically from evidence
  • Recommendation is actionable with clear conditions

Input: $ARGUMENTS

Apply this procedure to the input provided.