> ## Documentation Index > Fetch the complete documentation index at: https://fred-mcp-server.amorelli.tech/llms.txt > Use this file to discover all available pages before exploring further. # Economic Analysis > Using FRED for comprehensive economic analysis and research # Economic Analysis Use Case Leverage FRED MCP Server for comprehensive economic analysis, from macroeconomic forecasting to sectoral performance evaluation. ## Overview Economic analysts use FRED data to: * Monitor current economic conditions * Analyze historical trends * Identify relationships between indicators * Support forecasting and projections * Evaluate policy impacts ## Macroeconomic Analysis ### Business Cycle Analysis Track key indicators across the cycle: ```javascript theme={null} // Building permits { "series_id": "PERMIT" } // Initial jobless claims { "series_id": "ICSA" } // Yield curve spread { "series_id": "T10Y2Y" } // Consumer expectations { "series_id": "UMCSENT" } ``` ```javascript theme={null} // GDP { "series_id": "GDP" } // Employment { "series_id": "PAYEMS" } // Industrial production { "series_id": "INDPRO" } // Retail sales { "series_id": "RSXFS" } ``` ```javascript theme={null} // Unemployment { "series_id": "UNRATE" } // Unit labor costs { "series_id": "ULCNFB" } // Consumer credit { "series_id": "TOTALSL" } ``` ### GDP Decomposition Analyze sources of growth: ```javascript theme={null} // Total GDP const gdp = { "series_id": "GDP", "observation_start": "2020-Q1", "units": "pca" }; // Components const components = { consumption: "PCEC", // Personal consumption (68%) investment: "GPDI", // Gross private investment (17%) government: "GCE", // Government spending (17%) net_exports: "NETEXP" // Exports - Imports }; ``` GDP = C + I + G + (X - M) Track component contributions to identify growth drivers ## Inflation Analysis ### Multiple Measures Compare different inflation indicators: ```javascript theme={null} // Headline CPI { "series_id": "CPIAUCSL", "units": "pc1" } // Core CPI (ex food & energy) { "series_id": "CPILFESL", "units": "pc1" } // Services CPI { "series_id": "CUSR0000SAS", "units": "pc1" } // Goods CPI { "series_id": "CUUR0000SAC", "units": "pc1" } ``` ```javascript theme={null} // Headline PPI { "series_id": "PPIACO", "units": "pc1" } // Core PPI { "series_id": "PPILFE", "units": "pc1" } ``` ```javascript theme={null} // PCE Price Index (Fed's preferred) { "series_id": "PCEPI", "units": "pc1" } // Core PCE { "series_id": "PCEPILFE", "units": "pc1" } ``` ```javascript theme={null} // Import prices { "series_id": "IR", "units": "pc1" } // Export prices { "series_id": "IQ", "units": "pc1" } ``` ### Inflation Expectations Monitor forward-looking indicators: ```javascript theme={null} // University of Michigan 1-year ahead { "series_id": "MICH", "observation_start": "2020-01-01" } // 5-year breakeven rate { "series_id": "T5YIE", "observation_start": "2020-01-01" } // 10-year breakeven rate { "series_id": "T10YIE", "observation_start": "2020-01-01" } ``` ## Labor Market Analysis ### Employment Dynamics ```javascript theme={null} // Comprehensive labor market dashboard const labor_dashboard = { // Headline indicators unemployment: "UNRATE", payrolls: "PAYEMS", participation: "CIVPART", // Broader measures u6_rate: "U6RATE", employment_ratio: "EMRATIO", part_time_economic: "LNS12032194", // Flows initial_claims: "ICSA", continuing_claims: "CCSA", job_openings: "JTSJOL", quits: "JTSQUL", // Wages avg_hourly_earnings: "CES0500000003", real_earnings: "CES0500000030", unit_labor_costs: "ULCNFB" }; ``` ### Sectoral Employment Track employment by industry: ```javascript theme={null} { "series_id": "MANEMP" } ``` ```javascript theme={null} { "series_id": "USCONS" } ``` ```javascript theme={null} { "series_id": "USTRADE" } ``` ```javascript theme={null} { "series_id": "CES6500000001" } ``` ```javascript theme={null} { "series_id": "USPBS" } ``` ```javascript theme={null} { "series_id": "CES7000000001" } ``` ## Financial Conditions ### Interest Rate Analysis ```javascript theme={null} // Yield curve const yield_curve = { one_month: "DGS1MO", three_month: "DGS3MO", six_month: "DGS6MO", one_year: "DGS1", two_year: "DGS2", five_year: "DGS5", ten_year: "DGS10", thirty_year: "DGS30" }; // Spreads const spreads = { ten_two: "T10Y2Y", ten_three_month: "T10Y3M", bbb_treasury: "BAMLC0A4CBBB" }; ``` ### Financial Stress Indicators ```javascript theme={null} // St. Louis Fed Financial Stress Index { "series_id": "STLFSI2", "observation_start": "2020-01-01" } // TED Spread { "series_id": "TEDRATE", "observation_start": "2020-01-01" } // VIX (market volatility) { "series_id": "VIXCLS", "observation_start": "2020-01-01" } ``` ## Sectoral Analysis ### Housing Market ```javascript theme={null} const housing_metrics = { // Supply starts: "HOUST", permits: "PERMIT", under_construction: "UNDCONTSA", // Demand existing_sales: "EXHOSLUSM495S", new_sales: "HSN1F", // Prices case_shiller: "CSUSHPISA", fhfa_index: "USSTHPI", median_price: "MSPUS", // Affordability mortgage_rate: "MORTGAGE30US", affordability_index: "FIXHAI" }; ``` ### Manufacturing Sector ```javascript theme={null} // Production { "series_id": "IPMAN", "observation_start": "2020-01-01", "units": "pc1" } // Orders { "series_id": "AMTMNO", "observation_start": "2020-01-01" } // Capacity utilization { "series_id": "MCU", "observation_start": "2020-01-01" } // PMI { "series_id": "MANEMP", "observation_start": "2020-01-01" } ``` ## Regional Analysis ### State Comparisons ```javascript theme={null} // Compare unemployment across states const states = ["CA", "TX", "NY", "FL", "IL"]; states.forEach(state => { fred_get_series({ series_id: `${state}UR`, observation_start: "2020-01-01" }); }); // State GDP states.forEach(state => { fred_get_series({ series_id: `${state}NGSP`, observation_start: "2020-Q1" }); }); ``` ### Metro Area Analysis ```javascript theme={null} // Major metro unemployment rates const metros = { nyc: "LAUMT364190", la: "LAUMT064910", chicago: "LAUMT121410", dallas: "LAUMT481910", houston: "LAUMT482610" }; ``` ## Recession Analysis ### NBER Dating ```javascript theme={null} // Official recession indicator { "series_id": "USREC", "observation_start": "2000-01-01" } // Sahm Rule Recession Indicator { "series_id": "SAHMREALTIME", "observation_start": "2000-01-01" } ``` ### Recession Depth and Duration Find pre-recession highs in key indicators Identify lowest points during recession Calculate time to return to pre-recession levels Analyze differences in depth, duration, and recovery shape ## International Comparisons ### Global Indicators ```javascript theme={null} // OECD data const global = { // Composite leading indicators us_cli: "USALOLITONOSTSAM", oecd_cli: "USALOLITONOSTSAM", // GDP g7_gdp: "NAEXKP01", china_gdp: "CHNNGDP", eu_gdp: "CLVMNACSCAB1GQEU272020", // Trade global_trade: "WLDXTIMVA" }; ``` ## Best Practices Don't rely on single metrics. Cross-validate with complementary series. Economic data undergoes revisions. Use vintage data for historical analysis. Use SA data for trends, NSA for actual seasonal patterns. Account for reporting lags and indicator relationships. Record transformation choices and analysis assumptions. ## Analysis Workflow Clearly state what you're analyzing Select relevant series for your analysis Retrieve series with appropriate transformations Look for patterns, correlations, and anomalies Cross-check with alternative indicators Record methodology and conclusions ## Next Steps Markets and asset analysis Policy impact evaluation Practical code examples Tool documentation