Ximing Wu

Professor

Department of Agricultural Economics

Texas A&M University

College Station, TX 77843-2124

Email: xwu at tamu dot edu

• Curriculum Vitae

• Selected Publications

  • "Electricity Demand Forecasting and Risk Management Using Gaussian Process Model with Error Propagation," (with K. Wen and W. Wu), Journal of Forecasting, 2022.

  • ''Spatially smoothed kernel densities with application to crop yield distributions," (with Wen, K. and Leatham, D.), Journal of Agricultural, Biological, and Environmental Statistics, 2021.

  • "Bayesian estimation of bidding process and bidder’s preference under shape restrictions" (with Li, D. and Wang, L.), Empirical Economics, 2020.

  • "Self-aggravation effect of air pollution: Evidence from residential electricity consumption in China" (with F. Yi, H. Ye, Y. Zhang and J. Fei), Energy Economics, 86, 2020.

  • “A Guided Nonparametric Goodness-of-fit Test with Application to Income Distributions” (with K. Wen), Econometrics Journal, 2019. Download

  • "Transformation-Kernel Estimation of Copula Densities" (with K. Wen), Journal of Business and Economic Statistics, 2020. Download ; R package 'kdecopula'

  • “Robust Likelihood Cross Validation for Kernel Density Estimation,” Journal of Business and Economic Statistics, 2019. Download; R package 'rlcv'

  • “A Sequential Test for the Specification of Predictive Densities”(with J. Lin), Econometrics Journal, 20:190–220, 2017. Download

  • “Smooth Tests of Copula Specifications” (with J. Lin), Journal of Business and Economic Statistics, 33:128-143,2015. Download

  • "Penalized Exponential Series Estimation of Copula Densities with an Application to Intergenerational Dependence of Body Mass Index" (with Y. Gao and Y. Zhang), Empirical Economics, 48:61-81, 2015. Download

  • “Transformation-based Nonparametric Estimation of Multivariate Densities” (with M. Chang), Journal of Multivariate Analysis, 135:71-88, 2015. Download

  • "A data-driven smooth test of symmetry," (with Y. Fang, Q. Li and D. Zhang), Journal of Econometrics, 188:490-501, 2015. Download

  • "An Improved Transformation-based Kernel Estimator of Densities on the Unit Interval" (with K. Wen), Journal of the American Statistical Association, 110: 773-783, 2015. Download

  • "Interdependence of oil prices and stock market indicies: A copula approach," (with Sukcharoen, K., T. Zohrabyan, and D. Leatham), Energy Economics, 44:331-339, 2014. Download

  • "Climate Change Influences on Agricultural Research Productivity," (with X. Villavicencio, B. McCarl, and W. Huffman), Climatic Change, 119: 815-824, 2013. Download

  • "Maximum Entropy Approximations for Asymptotic Distributions of Smooth Functions of Sample Means," (with S. Wang), Scandinavian Journal of Statistics, 38: 130-146, 2011. Download

  • "Exponential Series Estimator of Multivariate Densities," Journal of Econometrics, 156: 354-366, 2010. Download

  • "Information Theoretic Distribution Tests with Applications to Normality," (with T. Stengos), Econometric Reviews, 29(3): 307-369, 2010. Download

  • "Comparing Open-ended Choice Experiment and Experimental Auctions: An Application to Golden Rice," (with J. Corrigan, R. Nayga, D. Depositario, and T. Laude), American Journal of Agricultural Economics, 91(3): 837-853, 2009. Download

  • "Climate Change and Future Analysis: Is Stationarity Dying?" (with B., McCarl and X. Villavicencio), American Journal of Agricultural Economics, 90(5): 1241-1247, 2008. Download

  • "GMM Estimation of Maximum Entropy Density with Interval Data," (with J. Perloff), Journal of Econometrics, 138: 532-546, 2007. Download

  • "Partially Adaptive Estimation via Maximum Entropy Densities,"(with T. Stengos), Econometrics Journal, 8: 352-336, 2005. Download

  • "China's Income Distributions, 1985-2001,"(with J. Perloff), Review of Economics and Statistics, 87: 763-775, 2005; featured in the Asia Times, July 21, 2004. Download

  • "Calculation of Maximum Entropy Densities with Application to Income Distribution," Journal of Econometrics, 115: 347-354, 2003. Download