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Production Function Estimation Using Cross Sectional Data: A Partial Identification Approach

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  • Sonoda, Tadashi
  • Mishra, Ashok

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Suggested Citation

  • Sonoda, Tadashi & Mishra, Ashok, 2015. "Production Function Estimation Using Cross Sectional Data: A Partial Identification Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205308, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:205308
    DOI: 10.22004/ag.econ.205308
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    References listed on IDEAS

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    1. Gustafsson,Björn A. & Shi,Li & Sicular,Terry (ed.), 2008. "Inequality and Public Policy in China," Cambridge Books, Cambridge University Press, number 9780521870450, June.
    2. Knight, John & Deng, Quheng & Li, Shi, 2011. "The puzzle of migrant labour shortage and rural labour surplus in China," China Economic Review, Elsevier, vol. 22(4), pages 585-600.
    3. Dennis Tao Yang, 1997. "Education in Production: Measuring Labor Quality and Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 764-772.
    4. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    5. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    6. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 903-921.
    7. 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.
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