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Non-Farm Income and Technical Efficiency in the Uplands of Yunnan, China: A Bayesian Non-Crossing Quantile Regression Approach

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  • Ramsey, Austin F.
  • Wang, Huaiyu

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  • Ramsey, Austin F. & Wang, Huaiyu, 2018. "Non-Farm Income and Technical Efficiency in the Uplands of Yunnan, China: A Bayesian Non-Crossing Quantile Regression Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274375, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea18:274375
    DOI: 10.22004/ag.econ.274375
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    References listed on IDEAS

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    1. Gregg, Daniel & Rolfe, John, 2016. "The value of environment across efficiency quantiles: A conditional regression quantiles analysis of rangelands beef production in north Eastern Australia," Ecological Economics, Elsevier, vol. 128(C), pages 44-54.
    2. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    3. Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves Without Crossing," Econometrica, Econometric Society, vol. 78(3), pages 1093-1125, May.
    4. Ashok K. Mishra & Barry K. Goodwin, 1997. "Farm Income Variability and the Supply of Off-Farm Labor," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 880-887.
    5. repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    6. repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    7. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    8. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    10. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    11. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    12. Reich, Brian J. & Fuentes, Montserrat & Dunson, David B., 2011. "Bayesian Spatial Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 6-20.
    13. Hung‐Hao Chang & Fang‐I Wen, 2011. "Off‐farm work, technical efficiency, and rice production risk in Taiwan," Agricultural Economics, International Association of Agricultural Economists, vol. 42(2), pages 269-278, March.
    14. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
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    Keywords

    Productivity Analysis and Emerging Technologies; Research Methods/Econometrics/Stats; International Development;
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