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Public and Private Capital Productivity Puzzle: A Nonparametric Approach

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Author Info

  • 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.

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Bibliographic Info

Article provided by Southern Economic Association in its journal Southern Economic Journal.

Volume (Year): 73 (2006)
Issue (Month): 1 (July)
Pages: 219–232

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Handle: RePEc:sej:ancoec:v:73:1:y:2006:p:219-232

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Web page: http://www.southerneconomic.org/
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Cited by:
  1. 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.
  2. Verschelde, Marijn & D'Haese, Marijke F.C. & Vandamme, Ellen & Rayp, Glenn, 2011. "Challenging Small-scale Farming, A Non-parametric Analysis of the (Inverse) Relationship Between Farm Productivity and Farm Size in Burundi," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115550, European Association of Agricultural Economists.
  3. 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.
  4. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2008. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Working Papers 46/2008, University of Verona, Department of Economics.
  5. 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.
  6. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
  7. 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.
  8. 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.
  9. W. D. Walls, 2012. "Screen Wars, Star Wars, and Sequels: Nonparametric Reanalysis of Movie Profitability," Working Papers 2008-28, Department of Economics, University of Calgary, revised 10 Sep 2012.
  10. 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, 08.
  11. Delgado, Michael S. & Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Does Education Matter for Economic Growth?," IZA Discussion Papers 7089, Institute for the Study of Labor (IZA).
  12. Henderson, Daniel J. & Millimet, Daniel L., 2005. "Environmental regulation and US state-level production," Economics Letters, Elsevier, vol. 87(1), pages 47-53, April.
  13. 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.

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