IDEAS home Printed from https://ideas.repec.org/a/ecm/emetrp/v64y1996i6p1263-97.html
   My bibliography  Save this article

The Dynamics of Productivity in the Telecommunications Equipment Industry

Author

Listed:
  • Olley, G Steven
  • Pakes, Ariel

Abstract

Technological change and deregulation have caused a major restructuring telecommunications equipment industry over the last two decades. Our empirical focus is on estimating the parameters of a production function for the equipment industry, and then using those estimates to analyze the evolution of plant-level productivity. The restructuring involved significant entry and exit and large changes in the sizes of incumbents. This generates a selection and a simultaneity problem when estimating production functions. Our theoretical focus is on providing an estimation algorithm which takes explicit account of these issues. We find that our algorithm produces markedly different estimates of production function coefficients than do traditional estimation procedures, and that the productivity increases that followed deregulation were primarily a result of a reallocation of capital towards more productive establishments. Copyright 1996 by The Econometric Society.

Suggested Citation

  • Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
  • Handle: RePEc:ecm:emetrp:v:64:y:1996:i:6:p:1263-97
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0012-9682%28199611%2964%3A6%3C1263%3ATDOPIT%3E2.0.CO%3B2-5&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ariel Pakes & Paul McGuire, 1994. "Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," RAND Journal of Economics, The RAND Corporation, vol. 25(4), pages 555-589, Winter.
    2. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    3. Andrews, Donald W K, 1991. "Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models," Econometrica, Econometric Society, vol. 59(2), pages 307-345, March.
    4. Donald W.K. Andrews, 1989. "Asymptotics for Semiparametric Econometric Models: II. Stochastic Equicontinuity and Nonparametric Kernel Estimation," Cowles Foundation Discussion Papers 909R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1990.
    5. Pakes, Ariel & Olley, Steven, 1995. "A limit theorem for a smooth class of semiparametric estimators," Journal of Econometrics, Elsevier, vol. 65(1), pages 295-332, January.
    6. Newey, W.K., 1991. "Consistency and Asymptotic Normality of Nonparametric Projection Estimators," Working papers 584, Massachusetts Institute of Technology (MIT), Department of Economics.
    7. Murray Brown, 1967. "The Theory and Empirical Analysis of Production," NBER Books, National Bureau of Economic Research, Inc, number brow67-1, January.
    8. Steven J. Davis & John Haltiwanger, 1990. "Gross Job Creation and Destruction: Microeconomic Evidence and Macroeconomic Implications," NBER Chapters, in: NBER Macroeconomics Annual 1990, Volume 5, pages 123-186, National Bureau of Economic Research, Inc.
    9. Newey, Whitney K., 1994. "Series Estimation of Regression Functionals," Econometric Theory, Cambridge University Press, vol. 10(1), pages 1-28, March.
    10. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    11. Richard Ericson & Ariel Pakes, 1992. "An Alternative Theory of Firm and Industry Dynamics," Cowles Foundation Discussion Papers 1041, Cowles Foundation for Research in Economics, Yale University.
    12. Newey, Whitney K, 1994. "The Asymptotic Variance of Semiparametric Estimators," Econometrica, Econometric Society, vol. 62(6), pages 1349-1382, November.
    13. Zvi Griliches, 1967. "Production Functions in Manufacturing: Some Preliminary Results," NBER Chapters, in: The Theory and Empirical Analysis of Production, pages 275-340, National Bureau of Economic Research, Inc.
    14. Zvi Griliches, 1957. "Specification Bias in Estimates of Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 39(1), pages 8-20.
    15. Timothy Dunne & Mark J. Roberts & Larry Samuelson, 1988. "Patterns of Firm Entry and Exit in U.S. Manufacturing Industries," RAND Journal of Economics, The RAND Corporation, vol. 19(4), pages 495-515, Winter.
    16. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July.
    17. Lambson, V.E., 1989. "Industry Evolution With Sunk Costs And Uncertian Market Conditions," Working papers 8904, Wisconsin Madison - Social Systems.
    18. Robert H Mcguckin & George A Pascoe, 1988. "The Longitudinal Research Database (LRD): Status And Research Possibilities," Working Papers 88-2, Center for Economic Studies, U.S. Census Bureau.
    19. Ariel Pakes, 1991. "Dynamic Structural Models: Problems and Prospects. Mixed Continuous Discrete Controls and Market Interactions," Cowles Foundation Discussion Papers 984, Cowles Foundation for Research in Economics, Yale University.
    20. Noll, A. Michael, 1987. "Bell system R&D activities : The impact of divestiture," Telecommunications Policy, Elsevier, vol. 11(2), pages 161-178, June.
    21. Eric Maskin & Jean Tirole, 1985. "A Theory of Dynamic Oligopoly, II: Price Competition," Working papers 373, Massachusetts Institute of Technology (MIT), Department of Economics.
    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. Pakes, Ariel & Olley, Steven, 1995. "A limit theorem for a smooth class of semiparametric estimators," Journal of Econometrics, Elsevier, vol. 65(1), pages 295-332, January.
    2. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    4. James Levinsohn & Amil Petrin, 1999. "When Industries Become More Productive, Do Firms?," NBER Working Papers 6893, National Bureau of Economic Research, Inc.
    5. Gayle, George-Levi & Viauroux, Christelle, 2007. "Root-N consistent semiparametric estimators of a dynamic panel-sample-selection model," Journal of Econometrics, Elsevier, vol. 141(1), pages 179-212, November.
    6. Park, Sangin, 2003. "Semiparametric instrumental variables estimation," Journal of Econometrics, Elsevier, vol. 112(2), pages 381-399, February.
    7. Ichimura, Hidehiko & Lee, Sokbae, 2010. "Characterization of the asymptotic distribution of semiparametric M-estimators," Journal of Econometrics, Elsevier, vol. 159(2), pages 252-266, December.
    8. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    9. Marcus Asplund & Volker Nocke, 2003. "Firm Turnover in Imperfectly Competitive Markets," PIER Working Paper Archive 03-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Donald, Stephen G., 1995. "Two-step estimation of heteroskedastic sample selection models," Journal of Econometrics, Elsevier, vol. 65(2), pages 347-380, February.
    11. repec:hal:journl:peer-00741628 is not listed on IDEAS
    12. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    13. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    14. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    15. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    16. Andersson, Fredrik & Vejsiu, Altin, 2001. "Determinants of plant closures in Swedish manufacturing," Working Paper Series 2001:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    17. Jan De Loecker & Jozef Konings, 2003. "Creative Destruction and Productivity Growth in an Emerging Economy Evidence from Slovenian Manufacturing," LICOS Discussion Papers 13803, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    18. Juan Carlos Escanciano & Telmo P'erez-Izquierdo, 2023. "Automatic Locally Robust Estimation with Generated Regressors," Papers 2301.10643, arXiv.org, revised Nov 2023.
    19. Linton, Oliver, 1995. "Second Order Approximation in the Partially Linear Regression Model," Econometrica, Econometric Society, vol. 63(5), pages 1079-1112, September.
    20. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
    21. Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric Estimation With Generated Covariates," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1140-1177, October.

    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:ecm:emetrp:v:64:y:1996:i:6:p:1263-97. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.