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Distortions in the neoclassical growth model: A cross-country analysis

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  • Brinca, Pedro

Abstract

This paper investigates the properties of distortions that manifest themselves as wedges in the equilibrium conditions of the neoclassical growth model across a sample of 22 OECD countries for the 1970–2011 period. The quantitative relevance of each wedge and its robustness in generating fluctuations in macroeconomic aggregates is assessed. The efficiency wedge proves to be determinant in enabling models to replicate movements in output and investment, while the labor wedge is important to predict fluctuations in hours worked. Modeling distortions to the savings decision holds little quantitative or qualitative relevance. Also, investment seems to be the hardest aggregate to replicate, as prediction errors concerning output and hours worked are typically one order of magnitude smaller. These conclusions are statistically significant across the countries in the sample and are not limited to output drops. Finally, the geographical distance between countries and their degree of openness to trade are shown to contain information with regard to the wedges, stressing the importance of international mechanisms of transmission between distortions to the equilibrium conditions of the neoclassical growth model.

Suggested Citation

  • Brinca, Pedro, 2014. "Distortions in the neoclassical growth model: A cross-country analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 1-19.
  • Handle: RePEc:eee:dyncon:v:47:y:2014:i:c:p:1-19
    DOI: 10.1016/j.jedc.2014.07.013
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    1. repec:eee:macchp:v2-1013 is not listed on IDEAS
    2. Florian Gerth & Keisuke Otsu, 2016. "A Post-crisis Slump in Europe: A Business Cycle Accounting Analysis," Studies in Economics 1606, School of Economics, University of Kent.
    3. Shirai, Daichi, 2016. "Persistence and Amplification of Financial Frictions," MPRA Paper 72187, University Library of Munich, Germany.
    4. Cociuba, Simona E. & Ueberfeldt, Alexander, 2015. "Heterogeneity and long-run changes in aggregate hours and the labor wedge," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 75-95.
    5. Brinca, P. & Chari, V.V. & Kehoe, P.J. & McGrattan, E., 2016. "Accounting for Business Cycles," Handbook of Macroeconomics, Elsevier.
    6. Kirill Shakhnov, 2015. "Belarusian Business Cycle in Cross-country Comparison: Industry and Aggregate Data," BEROC Working Paper Series 30, Belarusian Economic Research and Outreach Center (BEROC).

    More about this item

    Keywords

    Business cycle accounting; Frictions; Economic fluctuations;

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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