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A Consistent Accounting of US Productivity Growth

In: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches

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  • Eric J. Bartelsman
  • J. Joseph Beaulieu

Abstract

This paper is an exploration in the relative performance and sources of productivity growth of U.S. private businesses across industries and legal structure. In order to assemble the disparate data from various sources to develop a coherent productivity database, we developed a general system to manage data. The paper describes this system and then applies it by building such a database. The paper presents updated estimates of gross output, intermediate input use, and value added using the BEA's GPO data set. It supplements these data with estimates of missing data on intermediate input use and prices for the 1977-1986 period, and it concords these data, which are organized on a 1972 SIC basis, to the 1987 SIC in order to have consistent time series covering the last twenty-four years. It further refines these data by disaggregating them by legal form of organization. The paper also presents estimates of labor hours, labor quality, investment, capital services and, consequently, multifactor productivity disaggregated by industry and legal form of organization, and it analyzes the contribution of various industries and business organizations to aggregate productivity. The paper also reconsiders these estimates in light of the surge in spending in advance of the century-date change.
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Suggested Citation

  • Eric J. Bartelsman & J. Joseph Beaulieu, 2007. "A Consistent Accounting of US Productivity Growth," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 449-482, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:0886
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    1. Daniel Aaronson & Daniel G. Sullivan, 2002. "Growth in worker quality," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Feb.
    2. Parikh, Ashok, 1979. "Forecasts of Input-Output Matrices Using the R.A.S. Method," The Review of Economics and Statistics, MIT Press, vol. 61(3), pages 477-481, August.
    3. Miron, Jeffrey A. & Zeldes, Stephen P., 1989. "Production, sales, and the change in inventories : An identity that doesn't add up," Journal of Monetary Economics, Elsevier, vol. 24(1), pages 31-51, July.
    4. G. Günlük‐Şenesen & J. M. Bates, 1988. "Some Experiments with Methods of Adjusting Unbalanced Data Matrices," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 151(3), pages 473-490, May.
    5. Robert P. Parker & Bruce T. Grimm, 2000. "Recognition of Business and Government Expenditures for Software as Investment: Methodology and Quantitative Impacts, 1959-98," BEA Papers 0002, Bureau of Economic Analysis.
    6. Lawrence Slifman & Carol Corrado, 1999. "Decomposition of Productivity and Unit Costs," American Economic Review, American Economic Association, vol. 89(2), pages 328-332, May.
    7. Richard Stone & D. G. Champernowne & J. E. Meade, 1942. "The Precision of National Income Estimates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 9(2), pages 111-125.
    8. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
    9. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
    10. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
    11. Michael H. Schneider & Stavros A. Zenios, 1990. "A Comparative Study of Algorithms for Matrix Balancing," Operations Research, INFORMS, vol. 38(3), pages 439-455, June.
    12. Frank M. Gollop, 1987. "Modeling Aggregate Productivity Growth: The Importance Of Intersectoral Transfer Prices And International Trade," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 33(2), pages 211-227, June.
    13. Harry H. Postner, 1984. "New Developments Towards Resolving The Company‐Establishment Problem," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 30(4), pages 429-459, December.
    14. Weale, Martin, 1985. "Testing Linear Hypotheses on National Account Data," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 685-689, November.
    15. Frank M. Gollop, 1983. "Modeling Aggregate Productivity Growth: The Importance of Intersectoral Transfer Prices and International Trade," Boston College Working Papers in Economics 116, Boston College Department of Economics.
    16. Wilcox, David W, 1992. "The Construction of U.S. Consumption Data: Some Facts and Their Implications for Empirical Work," American Economic Review, American Economic Association, vol. 82(4), pages 922-941, September.
    17. Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 45(3), pages 511-518.
    18. Griliches, Zvi, 1986. "Economic data issues," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 25, pages 1465-1514, Elsevier.
    19. Gollop, Frank M, 1987. "Modeling Aggregate Productivity Growth: The Importance of Intersectoral Transfer Prices and International Trade," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 33(2), pages 211-227, June.
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    Cited by:

    1. J. Joseph Beaulieu & Eric J. Bartelsman, 2006. "Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?," NBER Chapters, in: A New Architecture for the US National Accounts, pages 309-354, National Bureau of Economic Research, Inc.
    2. Desmet, Klaus & Rossi-Hansberg, Esteban, 2009. "Spatial growth and industry age," Journal of Economic Theory, Elsevier, vol. 144(6), pages 2477-2502, November.
    3. Carol Corrado & Paul Lengermann & Larry Slifman, 2009. "The Contribution of Multinational Corporations to US Productivity Growth, 1977–2000," NBER Chapters, in: International Trade in Services and Intangibles in the Era of Globalization, pages 331-360, National Bureau of Economic Research, Inc.
    4. Hugh Rockoff, 2008. "Great Fortunes of the Gilded Age," NBER Working Papers 14555, National Bureau of Economic Research, Inc.
    5. Strobel, Thomas, 2016. "ICT intermediates and productivity spillovers—Evidence from German and US manufacturing sectors," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 147-163.

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