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Estimates of the Aggregate Quarterly Capital Stock for the Post- War U.S. Economy

Author

Listed:
  • Daniel Levy

    (Bar-Ilan University)

  • Haiwei Chen

    (Westminster College)

Abstract

We construct quarterly aggregate gross and net capital stock series for the post-war U.S. economy using annual capital stock, capital depreciation, and capital discard figures along with quarterly investment series. We construct nominal and real measures of all three categories in the aggregate capital stock: consumer durable goods, producer durable goods, and business structures. In constructing the nominal series we take into account the changes in capital goods’ prices. The series are constructed using four different methods. Using time- and frequency domain techniques, we compare the constructed series and characterize their short-run, business cycle, and long-run cyclical properties. We find that the constructed series exhibit very different cyclical and shock persistence dynamics. Practical implications are discussed.

Suggested Citation

  • Daniel Levy & Haiwei Chen, 2005. "Estimates of the Aggregate Quarterly Capital Stock for the Post- War U.S. Economy," Others 0505008, University Library of Munich, Germany, revised 16 May 2005.
  • Handle: RePEc:wpa:wuwpot:0505008
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    References listed on IDEAS

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    1. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
    2. Dezhbakhsh, Hashem & Levy, Daniel, 1994. "Periodic properties of interpolated time series," Economics Letters, Elsevier, vol. 44(3), pages 221-228.
    3. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    4. Andrew Harvey (ed.), 1994. "Time Series," Books, Edward Elgar Publishing, volume 0, number 599.
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    Cited by:

    1. Levy, Daniel, 1995. "Capital Stock Depreciation, Tax Rules, and Composition of Aggregate Investment," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 45-65.
    2. Daniel Levy, 2000. "Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(1), pages 100-137, January.
    3. Daniel Levy & Hashem Dezhbakhsh, 2003. "On the typical spectral shape of an economic variable," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 417-423.
    4. Bordo, Michael D. & Haubrich, Joseph G., 2010. "Credit crises, money and contractions: An historical view," Journal of Monetary Economics, Elsevier, vol. 57(1), pages 1-18, January.
    5. Levy, Daniel & Dezhbakhsh, Hashem, 2003. "International Evidence on Output Fluctuation and Shock Persistence," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 1499-1530.
    6. Subhash C. Sharma & Yijian He, 1995. "Quarterly Aggregate Capital Input and the Cost of Capital for the," Data 9506001, University Library of Munich, Germany, revised 20 Jun 1995.
    7. Orlando, Giuseppe & Zimatore, Giovanna, 2018. "Recurrence quantification analysis of business cycles," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 82-94.

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    More about this item

    Keywords

    Capital Stock; Consumer Durable Goods; Producer Durable Goods; Business Structures; Capital Depreciation and Discard; Capital Goods Prices; Frequency Domain; Cyclical Behavior; Linear Interpolation; Numerical Iteration;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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