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Tao Wang

Not to be confused with: Tao Wang, Tao Wang

Personal Details

First Name:Tao
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa1092
[This author has chosen not to make the email address public]

Affiliation

Department of Economics
University of Victoria

Victoria, Canada
https://www.uvic.ca/socialsciences/economics/
RePEc:edi:devicca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.
  2. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.
  3. Aman Ullah & Tao Wang & Weixin Yao, 2020. "Modal Regression for Fixed Effects Panel Data," Working Papers 202102, University of California at Riverside, Department of Economics, revised Nov 2020.

Articles

  1. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
  2. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
  3. Tao Wang, 2022. "Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1819-1821, October.
  4. Haifeng Huang & Tao Wang & Zhichao Zhan, 2019. "From Business Tax to Value‐added Tax: The Effects of Reform on Chinese Transport Industry Firms," Australian Accounting Review, CPA Australia, vol. 29(1), pages 158-176, March.

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

  1. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.

    Cited by:

    1. Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.

  2. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.

    Cited by:

    1. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
    2. Tao Wang, 2022. "Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1819-1821, October.

  3. Aman Ullah & Tao Wang & Weixin Yao, 2020. "Modal Regression for Fixed Effects Panel Data," Working Papers 202102, University of California at Riverside, Department of Economics, revised Nov 2020.

    Cited by:

    1. Xin Jing & Jin Seo Cho, 2023. "Forecasting the Confirmed COVID-19 Cases Using Modal Regression," Working papers 2023rwp-217, Yonsei University, Yonsei Economics Research Institute.
    2. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
    3. Smith, Lisa C. & Frankenberger, Timothy R., 2022. "Recovering from severe drought in the drylands of Ethiopia: Impact of Comprehensive Resilience Programming," World Development, Elsevier, vol. 156(C).
    4. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
    5. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    6. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.

Articles

  1. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
    See citations under working paper version above.
  2. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
    See citations under working paper version above.
  3. Haifeng Huang & Tao Wang & Zhichao Zhan, 2019. "From Business Tax to Value‐added Tax: The Effects of Reform on Chinese Transport Industry Firms," Australian Accounting Review, CPA Australia, vol. 29(1), pages 158-176, March.

    Cited by:

    1. Tu, Yongmei & Liu, Tianbao, 2022. "Tax cuts and firms’ R&D capital efficiency," Finance Research Letters, Elsevier, vol. 49(C).
    2. Kong, Dongmin & Xiong, Mengxu & Qin, Ni, 2022. "Business Tax reform and CSR engagement: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 82(C).
    3. Neba Bhalla & Rakesh Kumar Sharma & Inderjit Kaur, 2022. "Effect of Tax Knowledge and Technological Shift in Tax System on Business Performance: A PLS-SEM Analysis," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    4. Feng Huang & Jie Gao, 2022. "Customer and Tax Avoidance: How Does Customer Geographic Proximity Affect a Supplier’s Tax Avoidance?," Sustainability, MDPI, vol. 14(22), pages 1-30, November.
    5. Jie Qin & Kaili Yang & Xuhui Ding, 2023. "Can the Reform of the Transfer Tax System Affect Corporate Green Innovation—Evidence from China’s “BT to VAT” Reform," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    6. Zhou, Di & Qiu, Yuan & Wang, Mingzhe, 2021. "Does environmental regulation promote enterprise profitability? Evidence from the implementation of China's newly revised Environmental Protection Law," Economic Modelling, Elsevier, vol. 102(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 3 papers 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 (3) 2021-01-11 2022-02-28 2022-10-03. Author is listed
  2. NEP-ORE: Operations Research (2) 2021-01-11 2022-02-28. Author is listed
  3. NEP-FOR: Forecasting (1) 2022-10-03. Author is listed

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