IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/0344.html
   My bibliography  Save this paper

Aggregation Effects And Panel Data Estimation Problems: An Investigationof the R&D Intensity Decision

Author

Listed:
  • Ariel Pakes

Abstract

This paper considers why the determinants of the inter- and intra-industry variance in R&D intensity in U.S. manufacturing differ markedly even though response parameters are similar across industries. A similar aggregation effect is noted by Grunfeld and Griliches (1960), and this paper gives that effect operational content in terms of grouped data estimation procedures. Observationally equivalent aggregation results can be generated by errors in variables models (see Aigner and Goldfeld [1974]).A later section considers specifications which identify the empirical importance of both these problems. Finally, a summary of the empirical results on the determinants of R&D intensity is provided.

Suggested Citation

  • Ariel Pakes, 1979. "Aggregation Effects And Panel Data Estimation Problems: An Investigationof the R&D Intensity Decision," NBER Working Papers 0344, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:0344
    Note: PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w0344.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Michael Gort, 1962. "Diversification and Integration in American Industry," NBER Books, National Bureau of Economic Research, Inc, number gort62-1, March.
    3. Aigner, Dennis J & Goldfeld, Stephen M, 1974. "Estimation and Prediction from Aggregate Data when Aggregates are Measured More Accurately than Their Components," Econometrica, Econometric Society, vol. 42(1), pages 113-134, January.
    4. Zvi Griliches, 1958. "Research Costs and Social Returns: Hybrid Corn and Related Innovations," Journal of Political Economy, University of Chicago Press, vol. 66, pages 419-419.
    5. Milton Friedman, 1957. "A Theory of the Consumption Function," NBER Books, National Bureau of Economic Research, Inc, number frie57-1, March.
    6. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    7. Aigner, D.J. & Goldfeld, S.M., 1974. "Estimation and prediction from aggregate data when aggregates are measured more accurately than their components," LIDAM Reprints CORE 190, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    Full references (including those not matched with items on IDEAS)

    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. Ariel Pakes & Mark Schankerman, 1984. "An Exploration into the Determinants of Research Intensity," NBER Chapters, in: R&D, Patents, and Productivity, pages 209-232, National Bureau of Economic Research, Inc.
    2. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    3. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    4. Subir Sen & S Madheswaran, 2013. "Regional determinants of life insurance consumption: evidence from selected Asian economies," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(2), pages 86-103, November.
    5. Ali-Yrkkö, Jyrki, 2004. "Impact of Public R&D Financing on Private R&D - Does Financial Constraint Matter?," Discussion Papers 943, The Research Institute of the Finnish Economy.
    6. Ada Ferrer-i-Carbonell & Bernard Van Praag, 2003. "Income Satisfaction Inequality and its Causes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(2), pages 107-127, August.
    7. Arnd Kölling & Claus Schnabel, 2022. "Owners, external managers and industrial relations in German establishments," British Journal of Industrial Relations, London School of Economics, vol. 60(2), pages 424-443, June.
    8. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    9. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    10. Nicholas Bloom & John Van Reenen & Heidi Williams, 2019. "A toolkit of policies to promote innovation," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 10.
    11. Yunus Aksoy & Henrique S. Basso & Carolyn St Aubyn, 2019. "Time Variation in Lifecycle Consumption and Income," BCAM Working Papers 1904, Birkbeck Centre for Applied Macroeconomics.
    12. Nadjia Mehraban & Christoph Kubitza & Zulkifli Alamsyah & Matin Qaim, 2021. "Oil palm cultivation, household welfare, and exposure to economic risk in the Indonesian small farm sector," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 901-915, September.
    13. Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 7-26.
    14. Hausman, Jerry A., 2003. "Triangular structural model specification and estimation with application to causality," Journal of Econometrics, Elsevier, vol. 112(1), pages 107-113, January.
    15. Le Hoang Phong, 2019. "Globalization, Financial Development, and Environmental Degradation in the Presence of Environmental Kuznets Curve: Evidence from ASEAN-5 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 40-50.
    16. Jinjing Li & Denisa Maria Sologon, 2014. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    17. Petzold, Max & Jonsson, Robert, 2003. "Maximum Likelihood Ratio based small-sample tests for random coefficients in linear regression," Working Papers in Economics 102, University of Gothenburg, Department of Economics.
    18. Chatelain, Jean-Bernard & Ralf, Kirsten, 2021. "Inference on time-invariant variables using panel data: A pretest estimator," Economic Modelling, Elsevier, vol. 97(C), pages 157-166.
    19. Jerry A. Hausman & Bart D. Ostro & David A. Wise, 1984. "Air Pollution and Lost Work," NBER Working Papers 1263, National Bureau of Economic Research, Inc.
    20. Moreno-Herrero, Dolores & Salas-Velasco, Manuel & Sánchez-Campillo, José, 2018. "Factors that influence the level of financial literacy among young people: The role of parental engagement and students' experiences with money matters," Children and Youth Services Review, Elsevier, vol. 95(C), pages 334-351.

    More about this item

    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:nbr:nberwo:0344. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.