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Public and Private Capital Productivity Puzzle: A Nonparametric Approach

Author

Listed:
  • Daniel J. Henderson

    () (Department of Economics, State University of New York at Binghamton)

  • Subal C. Kumbhakar

    () (Department of Economics, State University of New York at Binghamton, Binghamton)

Abstract

Is public expenditure productive? Is there a shortfall or excess in public capital investment? We address these old issues in the light of new econometric tools. It is argued that the Cobb-Douglas specification that ignores nonlinearity inherent in the functional relationship of the production technology causes incorrect estimates of input elasticities. To avoid possible model misspecification, we use Li-Racine generalized kernel estimation. This procedure is used to estimate the returns to private capital, employment, and public capital in gross state product from a panel of 48 states for 17 years. In contrast to previous studies, we find that the return to public capital is positive and significantly different from zero.

Suggested Citation

  • Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, Southern Economic Association, vol. 73(1), pages 219-232, July.
  • Handle: RePEc:sej:ancoec:v:73:1:y:2006:p:219-232
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    Citations

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    Cited by:

    1. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    2. Chintrakarn, Pandej & Millimet, Daniel L., 2006. "The environmental consequences of trade: Evidence from subnational trade flows," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 430-453, July.
    3. Krasnopjorovs, Olegs, 2013. "Latvijas ekonomikas izaugsmi noteicošie faktori
      [Factors of Economic Growth in Latvia]
      ," MPRA Paper 47550, University Library of Munich, Germany.
    4. Deniz Baglan & Hakan Yilmazkuday, 2016. "Financial Health and the Intensive Margin of Trade," Working Papers 1607, Florida International University, Department of Economics.
    5. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2016. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Journal of Productivity Analysis, Springer, vol. 45(1), pages 53-69, February.
    6. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    7. Marijn Verschelde & Marijke D’Haese & Glenn Rayp & Ellen Vandamme, 2013. "Challenging Small-Scale Farming: A Non-Parametric Analysis of the (Inverse) Relationship Between Farm Productivity and Farm Size in Burundi," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 319-342, June.
    8. Daniel J. Henderson, 2009. "A Non-parametric Examination of Capital-Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
    9. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2011. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Empirical Economics, Springer, vol. 41(3), pages 787-815, December.
    10. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    11. Gavoille, Nicolas & Verschelde, Marijn, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," European Economic Review, Elsevier, vol. 92(C), pages 180-195.
    12. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    13. Dorothée Boccanfuso & Marcelin Joanis & Mathieu Paquet & Luc Savard, 2015. "The impact of infrastructure on productivity: new estimates for Québec," Cahiers de recherche Classification-JEL: C13, , Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    14. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    15. repec:eee:csdana:v:116:y:2017:i:c:p:79-105 is not listed on IDEAS
    16. Jeffrey Thompson, 2010. "Prioritizing Approaches to Economic Development in New England: Skills, Infrastructure, and Tax Incentives," Published Studies priorities_september7_per, Political Economy Research Institute, University of Massachusetts at Amherst.
    17. Henderson, Daniel J. & Millimet, Daniel L., 2005. "Environmental regulation and US state-level production," Economics Letters, Elsevier, vol. 87(1), pages 47-53, April.
    18. Robert Fenge & Matthias Wrede, 2007. "EU Financing and Regional Policy: Vertical Fiscal Externalities when Capital is Mobile," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 63(4), pages 457-476, December.
    19. Valentina Hartarska & ChristopherF. Parmeter & Denis Nadolnyak & Beibei Zhu, 2010. "Economies Of Scope For Microfinance: Differences Across Output Measures," Pacific Economic Review, Wiley Blackwell, vol. 15(4), pages 464-481, October.
    20. Krasnopjorovs, Olegs, 2009. "Privātā un sabiedriskā kapitāla nozīme Latvijas ekonomikas izaugsmē
      [Contribution of private and public capital to economic growth in Latvia]
      ," MPRA Paper 47580, University Library of Munich, Germany.
    21. Simone Gitto & Paolo Mancuso, 2015. "The contribution of physical and human capital accumulation to Italian regional growth: a nonparametric perspective," Journal of Productivity Analysis, Springer, vol. 43(1), pages 1-12, February.
    22. repec:clg:wpaper:2008-28 is not listed on IDEAS
    23. Shi, Hao & Huang, Shaoqing, 2014. "How Much Infrastructure Is Too Much? A New Approach and Evidence from China," World Development, Elsevier, vol. 56(C), pages 272-286.
    24. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • H4 - Public Economics - - Publicly Provided Goods
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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