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Policy evaluation of rural labor force training program: Evidence from autonomous minority nationality areas in Southwestern frontier region of China

Author

Listed:
  • Jiachun Xie

    (Yunnan University)

  • Xingxu Li

    (Yunnan University)

  • Songsak Sriboonchitta

    (Chiang Mai University)

  • Shihti Yu

    (National Tsing Hua University)

Abstract

This paper evaluates the Rural Labor Force Training Program effects in the case of autonomous minority nationality areas in southwestern frontier region of China by using China’s Rural Household Survey (RHS) micro data. MTE-based semi-parametric method is used to estimate parameters of interest, i.e., ATE, TT and TUT.The decline trend of MTE value respect to U_T, which represents unobservable characteristics of resistance to participating in training, approves heterogeneity of unobservable characteristics given observed variables of farm households. The results of ATE, TT and TUT shows, households who already participate in training gain most than the randomly selected households if they are participants and those who are not participate in training. It also demonstrates that our Rural Labor Force Training Program is effective in Honghe Prefecture and Dehong Prefecture

Suggested Citation

  • Jiachun Xie & Xingxu Li & Songsak Sriboonchitta & Shihti Yu, 2013. "Policy evaluation of rural labor force training program: Evidence from autonomous minority nationality areas in Southwestern frontier region of China," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 27-36, September.
    • Handle: RePEc:chi:journl:v:2:y:2013:i:3:p:27-36
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    References listed on IDEAS

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    2. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, vol. 66(1), pages 33-39, January.
    3. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    4. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
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