Wei Wang


Office: Guanli Building 323

Email: wangwei79@dhu.edu.cn

research interests: theoretcial and applied econometrics

INTRODUCTION

Dr. Wei Wang is currently an Associate Professor in the School of Management, Donghua University.  His research interests are theoretical and empirical spatial econometrics. Dr. Wang has published a number of SSCI-indexed journal papers, and participated in several National Natural Science Foundation projects. Dr. Wang also served as reviewer for journals such as JASA,Econometric Reviews, Regional Scinece and Urban Economics, Journal of Regional Science, Spatial Economic Analysis, etc.

Education

  • 2004.09-2010.06  Economics, Ohio State University, Ph.D.

  • 2001.09-2004.06  Economics, Peking University, M.A.

  • 1997.09-2001.07  Economics, University of International Business and Economics, B.A.

Work Experience

  • since 2019.12    Glorious Sun School of Business and Management, Donghua University, Associate Professor

  • 2010.09-2019.07  Antai College of Economics and Management, Shanghai Jiao Tong University, Assistant Professor, Associate Professor

Academic Experience

  • 2017.02-2017.07  School of Business and Management, Alabama State University, Visiting Scholar

Honors and Awards

  • 2016  Excellent Teaching Award of Shanghai Jiao Tong University

  • 2014  "Candle Light" Award of Shanghai Jiao Tong University

ACADEMIC ACHIEVEMENTS

Journal Papers

  • Huang, S., Zheng, K., & Wang, W. (2020). The impact of local judicial quality on inter-firm specialization-An empirical study based on a new instrumental variable and chinese prefecture level data. Study & Exploration(in Chinese), 1: 92-101.

  • Wang, W., Lee, L., & Yan, B. (2018). GMM estimation of the spatial autoregressive model in a system of interrelated networks. Regional Science and Urban Economics, 69: 167-198.

  • Ho, C., Wang, W., & Yu, J. (2018). International knowledge spillover through trade: A time-varying spatial panel data approach. Economics Letters, 162: 30-33.

  • Wang, W., & Lee, L. (2018). GMM estimation of spatial panel data models with common factors and general space-time filter. Spatial Economic Analysis, 13: 247-269.

  • Wang, W., & Yu, J. (2015). Estimation of spatial panel data models with time varying weights matrices. Economics Letters, 128: 95-99.

  • Gao, J., & Wang, W. (2014). Testing for spatial correlations with randomly missing data in the dependent variable. Theoretical Economics Letters, 4: 623-633.

  • Ho, C., Wang, W., & Yu, J. (2013). Growth spillover through trade: A spatial dynamic panel data approach. Economics Letters, 120: 450-453.

  • Wang, W., & Lee, L. (2013). Estimation of spatial panel data models with randomly missing data in the dependent variable. Regional Science and Urban Economics, 43: 521-538.

  • Wang, W., & Lee, L. (2013). Estimation of spatial autoregressive models with randomly missing data in the dependent variable. The Econometrics Journal, 16: 73-102.

Conference Papers and Presentations

  • Wang, W., Lee, L., & Bao, Y. (2015). GMM estimation of the spatial autoregressive model in a system of interrelated networks, presented at 2015 SJTU-SMU Econometric Group Conference.

  • Wang, W., & Liu, L. (2009). GMM estimation of MRSAR models with missing observations in dependent variables-Theory and application, presented at 2009 Meetings of the Midwest Econometrics Group.

  • Liu, L., & Wang, W. (2009). Similar cities vs. nearby cities: A spatial econometric approach to MSA level housing returns, presented at 2009 Far East and South Asia Meeting of the Econometric Society.

Teaching and Research Projects

  • 2020-2023  Solving“Solow Paradox”: Study of the impact of information technology on Chinese enterprises' productivity in perspective of the business organization complemetarity, National Natural Science Foundation of China, Participant

  • 2020-2023  Study of the straticgic interatction of the local governments based on spatial models with the time-varying spatial parameters and endogenous weights matrix, National Natural Science Foundation of China, Participant

  • 2017-2019  Study of the spillover effects of regional innovation based on spatial panel data models with endogenous weights matrix, National Natural Science Foundation of China-Youth Fundation, Participant

  • 2014-2016  Study of the consumers' choices of banks based on conversion cost models, National Natural Science Foundation of China-Youth Fundation, Participant

  • 2012-2013  Study of the missing data problem in spatial econometric models, New Faculty Fund of Shanghai Jiao Tong University, Principal

  • 2011-2017  Study of governance mechanism of the generic technology R&D alliance based on industrial organization characteristics, National Social Science Foundation of China-Youth Fundation, Participant

TEACHING COURSES

  • Undergraduate: Microeconomics, Intermediate Microeconomics, Econometrics

  • Graduate: Advanced Econometrics

SOCIAL SERVICE

Academic and Social Posts

  • Reviewer for journals: JASA,Econometric Reviews, Regional Science and Urban Economics, Journal of Regional Science, Spatial Economic Analysis, etc.