Research Interest

Papers submitted

  • Panel stochastic frontier models with latent group structures (with Kazuki Tomioka and Thomas T. Yang)

  • Bayesian estimation for a semiparametric stochastic frontier model with persistent and transient inefficiencies (with P. Nie, V. Zelenyuk and C.F. Parmeter) (Presentation at ESAM 2024), under revision.

  • Goodness-of-fit in production models: A Bayesian perspective (with M. Tsionas and V. Zelenyuk), Revision re-submitted.

  • Energy transition and climate policy selection with stochastic demand: Evidence from Australian electricity generation expansion planning (with X. Sun, H. Anderson and W. Wei), under revision.

  • Revisiting the energy consumption and economic growth nexus: Evidence from a panel of Asia-Pacific countries (with D. Phan and M. Bhattacharya), under revision.

  • The impact of R&D on energy consumption: Evidence from nonlinear semi-parametric estimations for selected OECD countries (with H. C. Le, R. Smyth and M. Bhattacharya)

  • Time-varying impacts of energy access on income inequality: A semi-parametric analysis (with K. Ivanovski, S. Awaworyi Churchill, and R. Smyth)

  • Cross-market posterior prediction using nonparametric regression under conditional heteroscedasticity

Selected publications

  • Testing specification of distribution in stochastic frontier analysis (with M.-Y. Cheng, S. Wang and L. Xia), Journal of Econometrics, 2024, 105280.

  • Does economic growth cause energy intensity of well-being in the very long run? Semi-parametric evidence for selected OECD countries (with H. C. Le, R. Smyth and M. Bhattacharya), Energy Economics, 2024, 107889.

  • A nonparametric panel data model for examining the contribution of tourism to economic growth (with Ergun Dogan), Economic Modelling, 2023, 128, 106487

  • A flexible method for estimating luminosity functions via kernel density estimation - II. Generalization and Python code (with Z. Yuan, J. Wang and X. Cheng), Astrophysical Journal Supplement Series, 2022, 260(10).

  • Bayesian bandwidth estimation for local linear fitting in nonparametric regression models (with H. Shang), Studies in Nonlinear Dynamics & Econometrics, 2022, 26(1), 55-71.

  • A panel data model of length of stay in hospitals for hip replacements (with Y. Meng, J. Gao and X. Zhao), Econometric Reviews, 2021, 40(7), 688-707.

  • Bayesian estimation for a semiparametric nonlinear volatility model (with S. Hu and D.S. Poskitt), Economic Modelling, 2021, 98, 361-370.

  • Hypothesis testing based on a vector of statistics (with M.L. King and M. Akram), Journal of Econometrics, 2020, 219(2), 425-455 [Supplementary document].

  • Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel (with B. Liddle and R. Smyth), Energy Economics, 2020, 86, 104681.

  • Bayesian bandwidth selection in nonparametric time-varying coefficient models (with T. Cheng and J. Gao), Journal of Business & Economic Statistics, 2019, 37(1), 1-12.

  • Oil prices and economic policy uncertainty: Evidence from a nonparametric panel data model (with A. Hailemariam and R. Smyth), Energy Economics, 2019, 83, 40-51.

  • R&D intensity and carbon emissions in the G7: 1870-2014 (with S. Awaworyi Churchill, J. Inekwe and R. Smyth), Energy Economics, 2019, 80, 30-37.

  • Estimation of inefficiency in stochastic frontier models: A Bayesian kernel approach (with G. Feng and C. Wang), Journal of Productivity Analysis, 2019, 51(1), 1-19.

  • Nonparametric localized bandwidth selection for kernel density estimation (with T. Cheng and J. Gao), Econometric Reviews, 2019, 38(7), 733-762.

  • A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model (with H. Chen and R. Smyth), Energy Economics, 2017, 67, 346-354.

  • Nonparametric panel data model for crude oil and stock market prices in net oil importing countries (with P. Silvapulle, R. Smyth and J.-P. Fenech), Energy Economics, 2017, 67, 255-267.

  • Bayesian bandwidth selection for a nonparametric regression model with mixed types of regressors (with M.L. King and H.L. Shang), Econometrics, 2016, 4(2), 24.

  • A semiparametric approach to mortality modeling (with H. Li and C. O'Hare), Insurance: Mathematics and Economics, 2015, 61, 264-270.

  • A new semiparametric test for superior predictive ability (with Z. Cai, J. Jiang and J. Zhang), Empirical Economics, 2015, 48(1), 389-405.

  • Bayesian estimation of a discrete response model with double rules of sample selection (with R. Zhang and B. Inder), Computational Statistics & Data Analysis, 2015, 86(1), 81-96.

  • Bayesian approaches to nonparametric estimation of densities on the unit interval (with S. Li, M. Silvapulle and P. Silvapulle), Econometric Reviews, 2015, 34(3), 394-412.

  • A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density (with M.L. King and H.L. Shang), Computational Statistics & Data Analysis, 2014, 78, 218-234.

  • Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions (with S. Hu and D.S. Poskitt), Computational Statistics & Data Analysis, 2012, 56, 732-740.

  • A Bayesian approach to parameter estimation for kernel density estimation via transformations (with Q. Liu, D. Pitt and X. Wu), Annals of Actuarial Science, 2011, 5(2), 181-193.

  • Influence diagnostics for multivariate GARCH processes (with J. Dark and N. Qu), Journal of Time Series Analysis, 2010, 31, 278-291.

  • A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation (with R.D. Brooks and M.L. King), Journal of Econometrics, 2009, 153, 21-32.

  • Box-Cox stochastic volatility models with heavy-tails and correlated errors (with M.L. King), Journal of Empirical Finance, 2008, 15, 549-566.

  • Country risk and the estimation of asset return distributions (with R.D. Brooks and E. Bissoondoyal-Bheenick), Quantitative Finance, 2007, 7, 261-265.

  • A class of nonlinear stochastic volatility models and its implications for pricing currency options (with J. Yu and Z. Yang), Computational Statistics & Data Analysis, 2006, 51, 2218-2231.

  • A Bayesian approach to bandwidth selection for multivariate kernel density estimation (with M.L. King and R.J. Hyndman), Computational Statistics & Data Analysis, 2006, 50, 3009-3031.

  • Smoothing spline based tests for non-linearity in a partially linear model (with I. Pitrun and M.L. King), Journal of Statistical Planning and Inference, 2006, 136, 2446-2469.

  • Influence diagnostics in generalized autoregressive conditional heteroskedasticity processes (with M.L. King), Journal of Business & Economic Statistics, 2005, 23, 118-129 (Errata).

  • Assessment of local influence in GARCH processes, Journal of Time Series Analysis, 2004, 25, 301-313.

  • A small-sample overlapping variance-ratio test (with Y.K. Tse and K.W. Ng), Journal of Time Series Analysis, 2004, 25, 127-135.

  • Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method (with Y.K. Tse and J. Yu), Quantitative Finance, 2004, 4, 158-169.

  • A Monte Carlo investigation of some tests for stochastic dominance (with Y.K. Tse), Journal of Statistical Computation and Simulation, 2004, 74, 361-378.

  • Structural change and lead-lag relationship between the Nikkei spot index and futures price: A genetic programming approach (with D. Lien and Y.K. Tse), Quantitative Finance, 2003, 3, 136-144.

  • The variance ratio test with Stable Paretian errors (with Y.K. Tse), Journal of Time Series Analysis, 2002, 23, 117-126 [Extended Tables and Graphs].

  • Local influence on bandwidth estimation for kernel smoothing (with Y.K. Tse), Journal of Statistical Computation and Simulation, 2001, 70, 349-370.

Work in progress

  • Gaussian Kernel GARCH Models (with M.L. King)

  • Conditional Heteroscedasticity Models with Time-Varying Parameters: Estimation and Asymptotics (with A. Pourkhanali and J. Keith)

Awards

    2009 Dean's Award for Excellence in Research

    2007 Dean's Commendation for Excellence in Research Publication

Competitive Research Grants

    2017-2018: BEYOND THE CITY: Increasing the dispersal of Chinese visitors in regional Australia. Funded by the Department of Foreign Affairs and Trade (DFAT), Australia

    2013-2015: Gao, J., X. Zhang and D.B. Tjøstheim, Trending time series models with non- and semi-parametric methods, Australian Research Council Discovery Project.

    2010-2012: Zhang, X. and M.L. King, Nonparametric estimation of regression models with unknown error distributions, Australian Research Council Discovery Project.

    2006-2008: King, M.L. and X. Zhang, New procedures for multiple testing of econometric models, Australian Research Council Discovery Project.

Referees

Journals

Research Grant Organisations