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Regression modelBusiness Cycle Theory

Real Business Cycle Model

Real Business Cycle Model (RBC) · Also known as: RBC Model, Kydland-Prescott Model

The Real Business Cycle (RBC) model, developed by Finn Kydland and Edward Prescott in 1982, is a dynamic stochastic general equilibrium framework that explains macroeconomic fluctuations as rational responses to exogenous technological shocks. Unlike Keynesian models that emphasize demand-side factors and nominal rigidities, the RBC model shows how productivity variations alone can generate business cycles that mimic observed employment, output, and investment dynamics.

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When to use it

Use the RBC model when analyzing medium-frequency business cycle fluctuations driven by supply-side shocks (technology, oil prices, regulatory changes). It is essential for understanding how firms and workers optimally respond to changing economic conditions. RBC is less suited to short-run demand-driven fluctuations, financial crises, or episodes of low aggregate demand. For these, augment the RBC framework with nominal rigidities (New Keynesian models) or financial frictions.

Strengths & limitations

Strengths
  • Provides a coherent microfounded explanation of business cycles without invoking demand failures.
  • Generates realistic co-movements of macroeconomic variables (procyclical employment, investment, consumption).
  • Tractable to calibrate and simulate; closed-form solutions exist for special cases.
  • Emphasizes the importance of supply-side shocks and rational expectations, shifting focus from demand management to supply-side policy.
Limitations
  • Productivity shocks alone do not fully explain observed output volatility; the model typically accounts for only 30-40% of fluctuations.
  • The model predicts strongly procyclical real wages, whereas empirically wages are less volatile and sometimes acyclical.
  • The model abstracts from monetary policy, financial frictions, and asset price dynamics, which are important for understanding crises.
  • Ignores labor market frictions (matching, search), which amplify employment responses to shocks.

Frequently asked

How can technology shocks alone generate business cycles without demand failures?

When productivity temporarily increases, the present value of firms' future profits rises, incentivizing immediate investment. Workers anticipate higher future wages and supply more labor today. Both firms and workers act forward-looking and rationally, generating correlated expansions in output, employment, and investment without any deviation from clearing markets.

Why does the RBC model predict procyclical wages, which seem inconsistent with data?

The standard RBC model assumes perfect competition and flexible wages that adjust to clear the labor market. Shocks that increase labor productivity (or wealth) increase workers' marginal product, raising wages. Empirically, wages are less volatile than the model predicts, suggesting either labor market frictions, imperfect competition, or measurement issues in wage data.

What is the Solow residual, and why does it matter for the RBC model?

The Solow residual is the part of output growth not explained by measured capital and labor inputs. The RBC model interprets it as technological progress. However, the residual also captures unobserved factor utilization (firms working capital harder during booms), markups, and measurement error. Not all of the residual is true technological shocks, which limits the RBC model's explanatory power.

Can the RBC model explain financial crises and recessions?

The baseline RBC model assumes perfect financial markets and no role for asset prices or credit constraints. It cannot directly explain financial crises. Extensions (e.g., models with financial accelerators, credit-constrained agents, or asset-price bubbles) combine RBC foundations with financial market imperfections to better capture crisis dynamics.

Sources

  1. Kydland, F. E., & Prescott, E. C. (1982). Time to Build and Aggregate Fluctuations. Econometrica, 50(6), 1345–1370. DOI: 10.2307/1913386 ↗
  2. Prescott, E. C. (1986). Theory Ahead of Business Cycle Measurement. Carnegie-Rochester Conference Series on Public Policy, 25, 11–44. DOI: 10.1016/0167-2231(86)90035-7 ↗
  3. Long, J. B., & Plosser, C. I. (1983). Real Business Cycles. Journal of Political Economy, 91(1), 39–69. DOI: 10.1086/261128 ↗

How to cite this page

ScholarGate. (2026, June 3). Real Business Cycle Model (RBC). ScholarGate. https://scholargate.app/en/economics/real-business-cycle-model

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Referenced by

Diamond-Mortensen-Pissarides Search-MatchingOverlapping Generations ModelRamsey-Cass-Koopmans Model

Similar methods

DSGE ModelRamsey-Cass-Koopmans ModelSolow ResidualGrowth AccountingDiamond-Mortensen-Pissarides Search-MatchingComputable General EquilibriumRobust SVAR modelStructural VAR

Related reference concepts

Macroeconomics and Monetary EconomicsPrices, Business Fluctuations, and CyclesEconomic Development, Innovation, Technological Change, and GrowthMacroeconomicsEconomic Growth and Aggregate ProductivityEconomics

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Real Business Cycle Model (Real Business Cycle Model (RBC)). Retrieved 2026-07-21 from https://scholargate.app/en/economics/real-business-cycle-model · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Finn Kydland, Edward Prescott
Subfamily
Business Cycle Theory
Year
1982
Type
Dynamic stochastic general equilibrium model
Related methods
Overlapping Generations ModelRamsey-Cass-Koopmans Model
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