IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20040078.html
   My bibliography  Save this paper

Integrating Expenditure and Income Data: What to do with the Statistical Discrepancy?

Author

Listed:
  • J. Joseph Beaulieu

    (Division of Research and Statistics, Board of Governors of the Federal Reserve System, Washington)

  • Eric J. Bartelsman

    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

Abstract

This discussion paper led to a publication in (D.W. Jorgenson, J.S. Landefeld, W.D. Nordhaus, eds.) 'A New Architecture for the U.S. National Accounts', NBER Studies in Income and Wealth , vol. 66, 309-54, University of Chicago Press, 2006. The purpose of this paper is to build consistent, integrated datasets to investigate whether various disaggregated data can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to estimate consistent sets of input-output models that sum to either GDP or GDI and compare the two in order to see where the discrepancy resides. We find a few “problem” industries that appear to explain most of the statistical discrepancy. Second, we explore what combination of the expenditure data and the income data seem to produce the most sensible data according to a few economic criteria. A mixture of data that do not aggregate either to GDP or to GDI appears optimal.

Suggested Citation

  • J. Joseph Beaulieu & Eric J. Bartelsman, 2004. "Integrating Expenditure and Income Data: What to do with the Statistical Discrepancy?," Tinbergen Institute Discussion Papers 04-078/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20040078
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/04078.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    5. 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.
    6. 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.
    7. Dennis J Fixler & Marshall B Reinsdorf & Shaunda Villones, 2010. "Measuring the services of commercial banks in the NIPA," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 346-349, Bank for International Settlements.
    8. Karl Whelan, 2000. "A guide to the use of chain aggregated NIPA data," Open Access publications 10197/253, School of Economics, University College Dublin.
    9. William D. Nordhaus, 2000. "New Data and Output Concepts for Understanding Productivity Trends," Cowles Foundation Discussion Papers 1286, Cowles Foundation for Research in Economics, Yale University.
    10. Louis De Mesnard, 2002. "Forecast output coincidence and biproportion: two criteria to determine the orientation of an economy. Comparison for France (1980-1997)," Applied Economics, Taylor & Francis Journals, vol. 34(16), pages 2085-2091.
    11. Alan Greenspan, 2004. "Risk and Uncertainty in Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 33-40, May.
    12. Dean Baker, 1998. "The New Economy Does Not Lurk in the Statistical Discrepancy," Challenge, Taylor & Francis Journals, vol. 41(4), pages 5-13, July.
    13. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    14. David E. Lebow, 1990. "The covariability of productivity shocks across industries," Working Paper Series / Economic Activity Section 102, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baoline Chen, 2012. "A Balanced System of U.S. Industry Accounts and Distribution of the Aggregate Statistical Discrepancy by Industry," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 202-211, February.
    2. repec:bla:germec:v:8:y:2007:i::p:188-210 is not listed on IDEAS
    3. Tommaso Fonzo & Marco Marini, 2015. "Reconciliation of systems of time series according to a growth rates preservation principle," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 651-669, November.
    4. Baoline Chen, 2006. "A Balanced System of Industry Accounts for the U.S. and Structural Distribution of Statistical Discrepancy," BEA Papers 0070, Bureau of Economic Analysis.
    5. Corrado Carol & Lengermann Paul & Beaulieu J. Joseph & Bartelsman Eric J., 2007. "Sectoral Productivity in the United States: Recent Developments and the Role of IT," German Economic Review, De Gruyter, vol. 8(2), pages 188-210, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Torlak, Elvisa, 2004. "Foreign Direct Investment, Technology Transfer and Productivity Growth. Empirical Evidence for Hungary, Poland, Romania, Bulgaria and the Czech Republic," Conference papers 331189, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Basu, Susanto & Fernald, John G. & Shapiro, Matthew D., 2001. "Productivity growth in the 1990s: technology, utilization, or adjustment?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 117-165, December.
    4. Tamim Bayoumi & Markus Haacker, 2002. "Its Not What You Make, Its How You Use IT: Measuring the Welfare Benefits of the IT Revolution Across Countries," CEP Discussion Papers dp0548, Centre for Economic Performance, LSE.
    5. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    6. Yongsung Chang & Sunoong Hwang, 2015. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
    7. Camacho, Maximo & Leiva-Leon, Danilo, 2019. "The Propagation Of Industrial Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 144-177, January.
    8. Bouakez, Hafedh & Cardia, Emanuela & Ruge-Murcia, Francisco J., 2011. "Durable goods, inter-sectoral linkages and monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 35(5), pages 730-745, May.
    9. Bouakez, Hafedh & Cardia, Emanuela & Ruge-Murcia, Francisco, 2014. "Sectoral price rigidity and aggregate dynamics," European Economic Review, Elsevier, vol. 65(C), pages 1-22.
    10. Coen, Robert M. & Hickman, Bert G., 2006. "An econometric model of potential output, productivity growth, and resource utilization," Journal of Macroeconomics, Elsevier, vol. 28(4), pages 645-664, December.
    11. Hasan Bakhshi & Jens Larsen, 2001. "Investment-specific technological progress in the United Kingdom," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 49-80, Bank for International Settlements.
    12. Gorodnichenko, Yuriy & Shapiro, Matthew D., 2007. "Monetary policy when potential output is uncertain: Understanding the growth gamble of the 1990s," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1132-1162, May.
    13. Hafedh Bouakez & Emanuela Cardia & Francisco J. Ruge-Murcia, 2009. "The Transmission Of Monetary Policy In A Multisector Economy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1243-1266, November.
    14. Francesco Daveri, 2002. "The New Economy in Europe, 1992--2001," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(3), pages 345-362.
    15. Neusser, Klaus, 2008. "Interdependencies of US manufacturing sectoral TFPs: A spatial VAR approach," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 991-1004, September.
    16. Holly, S. & Petrella, I., 2008. "Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations," Cambridge Working Papers in Economics 0827, Faculty of Economics, University of Cambridge.
    17. Jason G. Cummins & Giovanni L. Violante, 2002. "Investment-Specific Technical Change in the US (1947-2000): Measurement and Macroeconomic Consequences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 243-284, April.
    18. Andrew Levin, 2007. "Comment on "Monetary Policy in Europe versus the United States: What Explains the Difference?"," NBER Chapters, in: International Dimensions of Monetary Policy, pages 533-545, National Bureau of Economic Research, Inc.
    19. Young Sik Kim & Kunhong Kim, 2006. "How Important is the Intermediate Input Channel in Explaining Sectoral Employment Comovement over the Business Cycle?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(4), pages 659-682, October.
    20. Cogley, Timothy, 2005. "How fast can the new economy grow? A Bayesian analysis of the evolution of trend growth," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 179-207, June.

    More about this item

    Keywords

    industry data; input-output; national accounts; statistical discrepancy;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20040078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.