IDEAS home Printed from https://ideas.repec.org/p/cvs/starer/89-15.html
   My bibliography  Save this paper

Dynamic Factor Demand Models, Productivity Measurement, And Rates Return: Theory And An Empirical Application To The U.S. Bell System

Author

Listed:
  • Nadiri, M. Ishaq
  • Prucha, Ingmar R.

Abstract

Prucha and Nadiri (1982,1986,1988) introduced a methodology to estimate systems of dynamic factor demand that allows for considerable flexibility in both the choice of the functional form of the technology and the expectation formation process. This paper applies this methodology to estimate the production structure, and the demand for labor, materials, capital and R&D by the U.S. Bell System. The paper provides estimates for short-, intermediate- and long-run price and output elasticities of the inputs, as well as estimates on the rate of return on capital and R&D. The paper also discusses the issue of the measurement of technical change if the firm is in temporary rather than long-run equilibrium and the technology is not assumed to be linear homogeneous The paper provides estimates for input and output based technical change as well as for returns to scale. Furthermore, the paper gives a decomposition of the traditional measure of total factor productivity growth.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Nadiri, M. Ishaq & Prucha, Ingmar R., 1989. "Dynamic Factor Demand Models, Productivity Measurement, And Rates Return: Theory And An Empirical Application To The U.S. Bell System," Working Papers 89-15, C.V. Starr Center for Applied Economics, New York University.
    • Handle: RePEc:cvs:starer:89-15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nadiri, M. Ishaq & Prucha, Ingmar R., 1982. "Formulation and Estimation of Dynamic Factor Demand Equations Under Non-Static Expectations: A Finite Horizon Model," Working Papers 82-22, C.V. Starr Center for Applied Economics, New York University.
    2. Morrison, Catherine J., 1986. "Productivity measurement with non-static expectations and varying capacity utilization : An integrated approach," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 51-74.
    3. Kollintzas, Tryphon, 1986. "A non-recursive solution for the linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 10(1-2), pages 327-332, June.
    4. Lars Peter Hansen & Thomas J. Sargent, 1980. "Linear rational expectations models for dynamically interrelated variables," Working Papers 135, Federal Reserve Bank of Minneapolis.
    5. Hulten, Charles R., 1986. "Productivity change, capacity utilization, and the sources of efficiency growth," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 31-50.
    6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    7. Bitros, George C & Kelejian, Harry H, 1976. "A Stochastic Control Approach to Factor Demand," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(3), pages 701-717, October.
    8. Zvi Griliches, 1998. "Productivity Growth and R&D at the Business Level: Results from the PIMS Data Base," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 134-156, National Bureau of Economic Research, Inc.
    9. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    10. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    11. Nadiri, M Ishaq & Schankerman, M A, 1981. "Technical Change, Returns to Scale, and the Productivity Slowdown," American Economic Review, American Economic Association, vol. 71(2), pages 314-319, May.
    12. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1988. "On the computation of estimators in systems with implicity defined variables," Economics Letters, Elsevier, vol. 26(2), pages 141-145.
    13. Epstein, Larry G. & Yatchew, Adonis J., 1985. "The empirical determination of technology and expectations : A simplified procedure," Journal of Econometrics, Elsevier, vol. 27(2), pages 235-258, February.
    14. Pierre A. Mohnen & M. Ishaq Nadiri & Ingmar R. Prucha, 1984. "R&D, Production Structure, and Productivity Growth in the U.S., Japaneseand German Manufacturing Sectors," NBER Working Papers 1264, National Bureau of Economic Research, Inc.
    15. Morrison, C. J. & Berndt, E. R., 1981. "Short-run labor productivity in a dynamic model," Journal of Econometrics, Elsevier, vol. 16(3), pages 339-365, August.
    16. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1986. "A comparison of alternative methods for the estimation of dynamic factor demand models under non-static expectations," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 187-211.
    17. Lau, Lawrence J., 1976. "A characterization of the normalized restricted profit function," Journal of Economic Theory, Elsevier, vol. 12(1), pages 131-163, February.
    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. Nadiri, M. Ishaq & Prucha, Ingmar R., 1997. "Sources of growth of output and convergence of productivity in major OECD countries," International Journal of Production Economics, Elsevier, vol. 52(1-2), pages 133-146, October.
    2. James R. Hines, Jr. & R. Glenn Hubbard & Joel Slemrod, 1993. "On the Sensitivity of R&D to Delicate Tax Changes: The Behavior of U. S. Multinationals in the 1980s," NBER Chapters, in: Studies in International Taxation, pages 149-194, National Bureau of Economic Research, Inc.
    3. Wei Wei & Qiao Fan & Aijun Guo, 2022. "China’s Industrial TFPs at the Prefectural Level and the Law of Their Spatial–Temporal Evolution," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    4. Bloch, Harry & Tang, Sam Hak Kan, 2007. "The effects of exports, technical change and markup on total factor productivity growth: Evidence from Singapore's electronics industry," Economics Letters, Elsevier, vol. 96(1), pages 58-63, July.
    5. James R. Hines, Jr., 1994. "No Place like Home: Tax Incentives and the Location of R&D by American Multinationals," NBER Chapters, in: Tax Policy and the Economy, Volume 8, pages 65-104, National Bureau of Economic Research, Inc.
    6. Dagenais, M. & Mohnen, P. & Therrien, P., 1997. "Do Canadian Firms Respond to Fiscal Incentives To Research and Development?," G.R.E.Q.A.M. 97b05, Universite Aix-Marseille III.
    7. Giannis Karagiannis & George Mergos, 2000. "Total Factor Productivity Growth and Technical Change in a Profit Function Framework," Journal of Productivity Analysis, Springer, vol. 14(1), pages 31-51, July.
    8. Pierre Lasserre & Pierre Ouellette, 1999. "Dynamic Factor Demands and Technology Measurement under Arbitrary Expectations," Journal of Productivity Analysis, Springer, vol. 11(3), pages 219-241, June.
    9. Khayyat, Nabaz T. & Lee, Jongsu & Lee, Jeong-Dong, 2014. "How ICT Investment Influences Energy Demand in South Korea and Japan?," MPRA Paper 55454, University Library of Munich, Germany.
    10. Gordon, Stephen, 1996. "How long is the firm's forecast horizon?," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1145-1176.
    11. Nadiri, M. Ishaq & Nandi, Banani, 1997. "The changing structure of cost and demand for the U.S. telecommunications industry," Information Economics and Policy, Elsevier, vol. 9(4), pages 319-347, December.
    12. M. Ishaq Nadiri & Ingmar Prucha, 2001. "Dynamic Factor Demand Models and Productivity Analysis," NBER Chapters, in: New Developments in Productivity Analysis, pages 103-172, National Bureau of Economic Research, Inc.
    13. Nemoto, Jiro & Asai, Sumiko, 2002. "Scale economies, technical change and productivity growth in Japanese local telecommunications services," Japan and the World Economy, Elsevier, vol. 14(3), pages 305-320, August.
    14. Elena Ketteni & Theofanis Mamuneas & Panos Pashardes, 2013. "ICT and Energy Use: Patterns of Substitutability and Complementarity in Production," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 7(1), pages 63-86, June.
    15. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1996. "Endogenous capital utilization and productivity measurement in dynamic factor demand models Theory and an application to the U.S. electrical machinery industry," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 343-379.
    16. Elena Ketteni, 2009. "Information technology and economic performance in U.S industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(3), pages 844-865, August.
    17. Pierre Mohnen, 1999. "Tax Incentives: Issue and Evidence," CIRANO Working Papers 99s-32, CIRANO.
    18. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.

    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. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1996. "Endogenous capital utilization and productivity measurement in dynamic factor demand models Theory and an application to the U.S. electrical machinery industry," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 343-379.
    2. Ingmar R. Prucha & M. Ishaq Nadiri, 1991. "Endogenous Capital Utilization and Productivity Measurement in Dynamic Factor Demand Models: Theory and an Application to the U.S. Electrical..," NBER Working Papers 3680, National Bureau of Economic Research, Inc.
    3. M. Ishaq Nadiri & Ingmar Prucha, 2001. "Dynamic Factor Demand Models and Productivity Analysis," NBER Chapters, in: New Developments in Productivity Analysis, pages 103-172, National Bureau of Economic Research, Inc.
    4. M. Ishaq Nadiri & Ingmar R. Prucha, 1991. "Comparison and Analysis of Productivity Growth and R&D Investment in the Electrical Machinery Industries of the United States and Japan," NBER Chapters, in: Productivity Growth in Japan and the United States, pages 109-133, National Bureau of Economic Research, Inc.
    5. Palm, Franz C. & Pfann, Gerard A., 1998. "Sources of asymmetry in production factor dynamics," Journal of Econometrics, Elsevier, vol. 82(2), pages 361-392, February.
    6. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1988. "Corporate Taxes and Incentives and the Structure of Production: A Selected Survey," NBER Working Papers 2579, National Bureau of Economic Research, Inc.
    7. Jean‐Christophe Bureau & Rolf Färe & Shawna Grosskopf, 1995. "A Comparison Of Three Nonparametric Measures Of Productivity Growth In European And United States Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(3), pages 309-326, September.
    8. Bernstein, J.I. & Nadiri, M.I., 1993. "Production, Financial Structure and Productivity Growth in U.S. Manufacturing," Working Papers 93-10, C.V. Starr Center for Applied Economics, New York University.
    9. Pierre Mohnen & Ishaq Nadiri, 1985. "Demande de facteurs et recherche-développement : estimations pour les Etats-Unis, le Japon, l'Allemagne et la France," Revue Économique, Programme National Persée, vol. 36(5), pages 943-974.
    10. Rodríguez, Xosé A. & Loureiro, Maria L. & Arias, Carlos, 2021. "Measuring productivity in the extractive industries. Evidence from Spanish fluorite mining," Resources Policy, Elsevier, vol. 73(C).
    11. Giannis Karagiannis & George Mergos, 2000. "Total Factor Productivity Growth and Technical Change in a Profit Function Framework," Journal of Productivity Analysis, Springer, vol. 14(1), pages 31-51, July.
    12. Lee, Jong-Kun, 1995. "Comparative performance of short-run capacity utilization measures," Economics Letters, Elsevier, vol. 48(3-4), pages 293-300, June.
    13. Decimavilla Herrero, Esther, 2000. "Diferencias de productividad en Europa. Equilibrio a corto y largo plazo," DE - Documentos de Trabajo. Economía. DE 7314, Universidad Carlos III de Madrid. Departamento de Economía.
    14. Berndt, Ernst R. & Fuss, Melvyn A., 1989. "Economic capacity utilization and productivity measurement for multiproduct firms with multiple quasi-fixed inputs," Working papers 3001-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    15. Ernst R. Berndt & Melvyn A. Fuss, 1989. "Economic Capacity Utilization and Productivity Measurement for Multi-product firms with multiple quasi-fixed inputs," NBER Working Papers 2932, National Bureau of Economic Research, Inc.
    16. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    17. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    18. Helen Simpson, 2009. "Productivity In Public Services," Journal of Economic Surveys, Wiley Blackwell, vol. 23(2), pages 250-276, April.
    19. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2012. "Efficiency evaluation of Greek equity funds," Research in International Business and Finance, Elsevier, vol. 26(2), pages 317-333.
    20. Byrnes, Joel & Crase, Lin & Dollery, Brian & Villano, Renato, 2010. "The relative economic efficiency of urban water utilities in regional New South Wales and Victoria," Resource and Energy Economics, Elsevier, vol. 32(3), pages 439-455, August.

    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:cvs:starer:89-15. 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: Anne Stubing (email available below). General contact details of provider: https://edirc.repec.org/data/aenyuus.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.