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Taining Wang

Personal Details

First Name:Taining
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa1034
http://694160821.wixsite.com/taining

Affiliation

Capital University of Economics and Business

Beijing, China
http://www.cueb.edu.cn/
RePEc:edi:cuebbcn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Taining Wang & Feng Yao, 2021. "A Varying Coefficient Model with Two-way Fixed Effects and Different Smoothing Variables," Working Papers 21-01, Department of Economics, West Virginia University.

Articles

  1. Wang, Taining & Henderson, Daniel J., 2022. "Estimation of a varying coefficient, fixed-effects Cobb–Douglas production function in levels," Economics Letters, Elsevier, vol. 213(C).
  2. Yao, Feng & Wang, Taining, 2021. "A Nonparametric Test Of Significant Variables In Gradients," Econometric Theory, Cambridge University Press, vol. 37(5), pages 959-1003, October.
  3. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
  4. Taining Wang & Jinjing Tian, 2020. "Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study," Empirical Economics, Springer, vol. 58(5), pages 2465-2511, May.
  5. Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.

    Cited by:

    1. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.

  2. Taining Wang & Jinjing Tian, 2020. "Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study," Empirical Economics, Springer, vol. 58(5), pages 2465-2511, May.

    Cited by:

    1. Chih‐Hai Yang & Meng‐Wen Tsou, 2021. "Globalization and the labor share in China: Firm‐level evidence," Manchester School, University of Manchester, vol. 89(1), pages 1-23, January.
    2. Ibarra, Carlos A. & Ros, Jaime, 2023. "Trade and factor intensity, and the transmission of the global shock to labor: A panel analysis of the fall of the labor income share in the Mexican manufacturing sector," Economic Systems, Elsevier, vol. 47(1).
    3. Lin, Boqiang & Xu, Bin, 2020. "Effective ways to reduce CO2 emissions from China's heavy industry? Evidence from semiparametric regression models," Energy Economics, Elsevier, vol. 92(C).

  3. Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.

    Cited by:

    1. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    2. Wang, Taining & Henderson, Daniel J., 2022. "Estimation of a varying coefficient, fixed-effects Cobb–Douglas production function in levels," Economics Letters, Elsevier, vol. 213(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2021-11-29. Author is listed
  2. NEP-ORE: Operations Research (1) 2021-11-29. Author is listed

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