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Donald Stephen Poskitt

Personal Details

First Name:Donald
Middle Name:Stephen
Last Name:Poskitt
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RePEc Short-ID:ppo408
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Affiliation

Department of Econometrics and Business Statistics
Monash Business School
Monash University

Melbourne, Australia
http://business.monash.edu/econometrics-and-business-statistics
RePEc:edi:dxmonau (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Xiaolin Sun & Xueyan Zhao & D. S. Poskitt, 2024. "Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps," Papers 2410.01159, arXiv.org, revised Oct 2024.
  2. Heshani Madigasekara & D. S. Poskitt & Lina Zhang & Xueyan Zhao, 2024. "Partial Identification of Distributional Treatment Effects in Panel Data using Copula Equality Assumptions," Papers 2411.04450, arXiv.org.
  3. David T. Frazier & Ryan Covey & Gael M. Martin & Donald Poskitt, 2023. "Solving the Forecast Combination Puzzle," Papers 2308.05263, arXiv.org.
  4. Donald S. Poskitt & Xueyan Zhao, 2023. "Bootstrap Hausdorff Confidence Regions for Average Treatment Effect Identified Sets," Monash Econometrics and Business Statistics Working Papers 9/23, Monash University, Department of Econometrics and Business Statistics.
  5. Ryan Zischke & Gael M. Martin & David T. Frazier & D. S. Poskitt, 2022. "The Impact of Sampling Variability on Estimated Combinations of Distributional Forecasts," Papers 2206.02376, arXiv.org.
  6. Don S. Poskitt, 2020. "On GMM Inference: Partial Identification, Identification Strength, and Non-Standard," Monash Econometrics and Business Statistics Working Papers 40/20, Monash University, Department of Econometrics and Business Statistics.
  7. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
  8. Kanchana Nadarajah & Gael M Martin & Donald S Poskitt, 2019. "Optimal Bias Correction of the Log-periodogram Estimator of the Fractional Parameter: A Jackknife Approach," Monash Econometrics and Business Statistics Working Papers 7/19, Monash University, Department of Econometrics and Business Statistics.
  9. Chuhui Li & Donald S Poskitt & Frank Windmeijer & Xueyan Zhao, 2019. "Binary Outcomes, OLS, 2SLS and IV Probit," Monash Econometrics and Business Statistics Working Papers 5/19, Monash University, Department of Econometrics and Business Statistics.
  10. David Harris & Gael M. Martin & Indeewara Perera & Don S. Poskitt, 2017. "Construction and visualization of optimal confidence sets for frequentist distributional forecasts," Monash Econometrics and Business Statistics Working Papers 9/17, Monash University, Department of Econometrics and Business Statistics.
  11. Chuhui Li & Donald S. Poskitt & Xueyan Zhao, 2016. "The Bivariate Probit Model, Maximum Likelihood Estimation, Pseudo True Parameters and Partial Identification," Monash Econometrics and Business Statistics Working Papers 16/16, Monash University, Department of Econometrics and Business Statistics.
  12. D.S. Poskitt, 2016. "Singular Spectrum Analysis of Grenander Processes and Sequential Time Series Reconstruction," Monash Econometrics and Business Statistics Working Papers 15/16, Monash University, Department of Econometrics and Business Statistics.
  13. George Athanasopoulos & D.S. Poskitt & Farshid Vahid & Wenying Yao, 2014. "Determination of long-run and short-run dynamics in EC-VARMA models via canonical correlations," Monash Econometrics and Business Statistics Working Papers 22/14, Monash University, Department of Econometrics and Business Statistics.
  14. K. Nadarajah & Gael M. Martin & D.S. Poskitt, 2014. "Issues in the Estimation of Mis-Specified Models of Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 18/14, Monash University, Department of Econometrics and Business Statistics.
  15. M. Atikur Rahman Khan & D.S. Poskitt, 2014. "On The Theory and Practice of Singular Spectrum Analysis Forecasting," Monash Econometrics and Business Statistics Working Papers 3/14, Monash University, Department of Econometrics and Business Statistics.
  16. Athanasopouolos, George & Poskitt, Don & Vahid, Farshid & Yao, Wenying, 2014. "Forecasting with EC-VARMA models," Working Papers 2014-07, University of Tasmania, Tasmanian School of Business and Economics, revised 22 Feb 2014.
  17. Simone D. Grose & Gael M. Martin & Donald S. Poskitt, 2013. "Bias Correction of Persistence Measures in Fractionally Integrated Models," Monash Econometrics and Business Statistics Working Papers 29/13, Monash University, Department of Econometrics and Business Statistics.
  18. D.S. Poskitt & Wenying Yao, 2012. "VAR Modeling and Business Cycle Analysis: A Taxonomy of Errors," Monash Econometrics and Business Statistics Working Papers 11/12, Monash University, Department of Econometrics and Business Statistics.
  19. D.S. Poskitt & Gael M. Martin & Simone D. Grose, 2012. "Bias Reduction of Long Memory Parameter Estimators via the Pre-filtered Sieve Bootstrap," Monash Econometrics and Business Statistics Working Papers 8/12, Monash University, Department of Econometrics and Business Statistics.
  20. D.S. Poskitt & Simone D. Grose & Gael M. Martin, 2012. "Higher Order Improvements of the Sieve Bootstrap for Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 9/12, Monash University, Department of Econometrics and Business Statistics.
  21. Md Atikur Rahman Khan & D.S. Poskitt, 2011. "Window Length Selection and Signal-Noise Separation and Reconstruction in Singular Spectrum Analysis," Monash Econometrics and Business Statistics Working Papers 23/11, Monash University, Department of Econometrics and Business Statistics.
  22. Md Atikur Rahman Khan & D.S. Poskitt, 2011. "Moment Tests for Window Length Selection in Singular Spectrum Analysis of Short- and Long-Memory Processes," Monash Econometrics and Business Statistics Working Papers 22/11, Monash University, Department of Econometrics and Business Statistics.
  23. Md Atikur Rahman Khan & D.S. Poskitt, 2010. "Description Length Based Signal Detection in singular Spectrum Analysis," Monash Econometrics and Business Statistics Working Papers 13/10, Monash University, Department of Econometrics and Business Statistics.
  24. Shuowen Hu & D.S. Poskitt & Xibin Zhang, 2010. "Bayesian Adaptive Bandwidth Kernel Density Estimation of Irregular Multivariate Distributions," Monash Econometrics and Business Statistics Working Papers 21/10, Monash University, Department of Econometrics and Business Statistics.
  25. D.S. Poskitt & Arivalzahan Sengarapillai, 2010. "Dual P-Values, Evidential Tension and Balanced Tests," Monash Econometrics and Business Statistics Working Papers 15/10, Monash University, Department of Econometrics and Business Statistics.
  26. D.S. Poskitt, 2009. "Vector Autoregresive Moving Average Identification for Macroeconomic Modeling: Algorithms and Theory," Monash Econometrics and Business Statistics Working Papers 12/09, Monash University, Department of Econometrics and Business Statistics.
  27. D. S. Poskitt & Arivalzahan Sengarapillai, 2009. "Description Length and Dimensionality Reduction in Functional Data Analysis," Monash Econometrics and Business Statistics Working Papers 13/09, Monash University, Department of Econometrics and Business Statistics.
  28. George Athanasopoulos & D.S. Poskitt & Farshid Vahid, 2007. "Two canonical VARMA forms: Scalar component models vis-à-vis the Echelon form," Monash Econometrics and Business Statistics Working Papers 10/07, Monash University, Department of Econometrics and Business Statistics, revised May 2009.
  29. S. D. Grose & D. S. Poskitt, 2006. "The Finite-Sample Properties of Autoregressive Approximations of Fractionally-Integrated and Non-Invertible Processes," Monash Econometrics and Business Statistics Working Papers 15/06, Monash University, Department of Econometrics and Business Statistics.
  30. D. S. Poskitt, 2006. "Properties of the Sieve Bootstrap for Fractionally Integrated and Non-Invertible Processes," Monash Econometrics and Business Statistics Working Papers 12/06, Monash University, Department of Econometrics and Business Statistics.
  31. D. S. Poskitt, 2005. "Autoregressive Approximation in Nonstandard Situations: The Non-Invertible and Fractionally Integrated Cases," Monash Econometrics and Business Statistics Working Papers 16/05, Monash University, Department of Econometrics and Business Statistics.
  32. D.S. Poskitt & C.L. Skeels, 2005. "Small Concentration Asymptotics and Instrumental Variables Inference," Department of Economics - Working Papers Series 948, The University of Melbourne.
  33. D. S. Poskitt & C. L. Skeels, 2004. "Approximating the Distribution of the Instrumental Variables Estimator when the Concentration Parameter is Small," Monash Econometrics and Business Statistics Working Papers 19/04, Monash University, Department of Econometrics and Business Statistics.
  34. D.S. Poskitt & Jing Zhang, 2004. "Estimating Components in Finite Mixtures and Hidden Markov Models," Monash Econometrics and Business Statistics Working Papers 10/04, Monash University, Department of Econometrics and Business Statistics.
  35. D. S. Poskitt & C. L. Skeels, 2004. "Assessing the Magnitude of the Concentration Parameter in a Simultaneous Equations Model," Monash Econometrics and Business Statistics Working Papers 29/04, Monash University, Department of Econometrics and Business Statistics.
  36. D. S. Poskitt, 2004. "On The Identification and Estimation of Partially Nonstationary ARMAX Systems," Monash Econometrics and Business Statistics Working Papers 20/04, Monash University, Department of Econometrics and Business Statistics.
  37. D.S. Poskitt, 2004. "Some Results on the Identification and Estimation of Vector ARMAX Processes," Monash Econometrics and Business Statistics Working Papers 12/04, Monash University, Department of Econometrics and Business Statistics.
  38. D.S. Poskitt & C.L. Skeels, 2002. "Assessing Instrumental Variable Relevance:An Alternative Measure and Some Exact Finite Sample Theory," Department of Economics - Working Papers Series 862, The University of Melbourne.
  39. Poskitt, D., 1996. "The Analysis of Cointegrated Autoregressive Moving-Average Systems," SFB 373 Discussion Papers 1996,58, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  40. Lütkepohl, H. & Poskitt, D. S., 1996. "Consistent Estimation of the Number of Cointegration Relations in a Vector Autoregressive Model," SFB 373 Discussion Papers 1996,74, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  41. Poskitt, D. & Lütkepohl, H., 1995. "Consistent Specification of Cointegrated Autoregressive Moving-Average Systems," SFB 373 Discussion Papers 1995,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  42. D.S. Poskitt, "undated". "Specification of echelon form VARMA models," Statistic und Oekonometrie 9305, Humboldt Universitaet Berlin.

Articles

  1. Chuhui Li & Donald S. Poskitt & Frank Windmeijer & Xueyan Zhao, 2022. "Binary outcomes, OLS, 2SLS and IV probit," Econometric Reviews, Taylor & Francis Journals, vol. 41(8), pages 859-876, September.
  2. Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021. "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, vol. 98(C), pages 361-370.
  3. Martin, Gael M. & Nadarajah, K. & Poskitt, D.S., 2020. "Issues in the estimation of mis-specified models of fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 215(2), pages 559-573.
  4. Donald S. Poskitt, 2020. "On Singular Spectrum Analysis And Stepwise Time Series Reconstruction," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(1), pages 67-94, January.
  5. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
  6. Khan, M. Atikur Rahman & Poskitt, D.S., 2017. "Forecasting stochastic processes using singular spectrum analysis: Aspects of the theory and application," International Journal of Forecasting, Elsevier, vol. 33(1), pages 199-213.
  7. D. S. Poskitt & Wenying Yao, 2017. "Vector Autoregressions and Macroeconomic Modeling: An Error Taxonomy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 407-419, July.
  8. Poskitt, D. S. & Martin, Gael M. & Grose, Simone D., 2017. "Bias Correction Of Semiparametric Long Memory Parameter Estimators Via The Prefiltered Sieve Bootstrap," Econometric Theory, Cambridge University Press, vol. 33(3), pages 578-609, June.
  9. George Athanasopoulos & Donald S. Poskitt & Farshid Vahid & Wenying Yao, 2016. "Determination of Long‐run and Short‐run Dynamics in EC‐VARMA Models via Canonical Correlations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1100-1119, September.
  10. Poskitt, D.S., 2016. "Vector autoregressive moving average identification for macroeconomic modeling: A new methodology," Journal of Econometrics, Elsevier, vol. 192(2), pages 468-484.
  11. Neil Kellard & Denise Osborn & Jerry Coakley & Simone D. Grose & Gael M. Martin & Donald S. Poskitt, 2015. "Bias Correction of Persistence Measures in Fractionally Integrated Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 721-740, September.
  12. Poskitt, D.S. & Grose, Simone D. & Martin, Gael M., 2015. "Higher-order improvements of the sieve bootstrap for fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 188(1), pages 94-110.
  13. Poskitt, D. S. & Skeels, C. L., 2013. "Inference in the Presence of Weak Instruments: A Selected Survey," Foundations and Trends(R) in Econometrics, now publishers, vol. 6(1), pages 1-99, August.
  14. Md Atikur Rahman Khan & D. S. Poskitt, 2013. "Moment tests for window length selection in singular spectrum analysis of short– and long–memory processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(2), pages 141-155, March.
  15. Poskitt, D.S. & Sengarapillai, Arivalzahan, 2013. "Description length and dimensionality reduction in functional data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 98-113.
  16. George Athanasopoulos & D. Poskitt & Farshid Vahid, 2012. "Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form," Econometric Reviews, Taylor & Francis Journals, vol. 31(1), pages 60-83.
  17. Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2012. "Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 732-740.
  18. D. S. Poskitt & C. L. Skeels, 2009. "Assessing the magnitude of the concentration parameter in a simultaneous equations model," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 26-44, March.
  19. Poskitt, D.S. & Skeels, C.L., 2008. "Conceptual frameworks and experimental design in simultaneous equations," Economics Letters, Elsevier, vol. 100(1), pages 138-142, July.
  20. D. S. Poskitt, 2008. "Properties of the Sieve Bootstrap for Fractionally Integrated and Non‐Invertible Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 224-250, March.
  21. D. Poskitt, 2007. "Autoregressive approximation in nonstandard situations: the fractionally integrated and non-invertible cases," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 59(4), pages 697-725, December.
  22. Poskitt, D.S. & Skeels, C.L., 2007. "Approximating the distribution of the two-stage least squares estimator when the concentration parameter is small," Journal of Econometrics, Elsevier, vol. 139(1), pages 217-236, July.
  23. Poskitt, D.S., 2006. "On The Identification And Estimation Of Nonstationary And Cointegrated Armax Systems," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1138-1175, December.
  24. D. S. Poskitt, 2005. "A Note on the Specification and Estimation of ARMAX Systems," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(2), pages 157-183, March.
  25. D. Harris & D. S. Poskitt, 2004. "Determination of cointegrating rank in partially non-stationary processes via a generalised von-Neumann criterion," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 191-217, June.
  26. Poskitt, D. S., 2003. "On the specification of cointegrated autoregressive moving-average forecasting systems," International Journal of Forecasting, Elsevier, vol. 19(3), pages 503-519.
  27. Poskitt, Don S, 2000. "Strongly Consistent Determination of Cointegrating Rank via Canonical Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 77-90, January.
  28. D. S. Poskitt & K. Dogancay & S.‐H. Chung, 1999. "Double‐blind deconvolution: the analysis of post‐synaptic currents in nerve cells," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 191-212.
  29. Lütkepohl, Helmut & POSKITT, D.S., 1996. "Testing for Causation Using Infinite Order Vector Autoregressive Processes," Econometric Theory, Cambridge University Press, vol. 12(1), pages 61-87, March.
  30. Lutkepohl, Helmut & Poskitt, D S, 1996. "Specification of Echelon-Form VARMA Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 69-79, January.
  31. D. S. Poskitt & M. O. Salau, 1995. "On The Relationship Between Generalized Least Squares And Gaussian Estimation Of Vector Arma Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(6), pages 617-645, November.
  32. Poskitt, D.S., 1994. "A Note on Autoregressive Modeling," Econometric Theory, Cambridge University Press, vol. 10(5), pages 884-899, December.
  33. Poskitt, D. S. & Salau, M. O., 1994. "On the Asymptotic Relative Efficiency of Gaussian and Least Squares Estimators for Vector ARMA Models," Journal of Multivariate Analysis, Elsevier, vol. 51(2), pages 294-317, November.
  34. Lütkepohl, Helmut & Poskitt, D.S., 1991. "Estimating Orthogonal Impulse Responses via Vector Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 7(4), pages 487-496, December.
  35. Poskitt, D. S., 1990. "Estimation and structure determination of multivariate input output systems," Journal of Multivariate Analysis, Elsevier, vol. 33(2), pages 157-182, May.
  36. M. S. Mackisack & D. S. Poskitt, 1990. "Some Properties Of Autoregressive Estimates For Processes With Mixed Spectra," Journal of Time Series Analysis, Wiley Blackwell, vol. 11(4), pages 325-337, July.
  37. Poskitt, D. S. & Tremayne, A. R., 1986. "The selection and use of linear and bilinear time series models," International Journal of Forecasting, Elsevier, vol. 2(1), pages 101-114.
  38. D. S. Poskitt & A. R. Tremayne, 1986. "Some Aspects Of The Performance Of Diagnostic Checks In Bivariate Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(3), pages 217-233, May.
  39. D. S. Poskitt & A. R. Tremayne, 1981. "A Time Series Application Of The Use Of Monte Carlo Methods To Compare Statistical Tests," Journal of Time Series Analysis, Wiley Blackwell, vol. 2(4), pages 263-277, July.
  40. Poskitt, D S, 1978. "Approximating the Exact Finite Sample Distribution of a Spectral Estimator," Econometrica, Econometric Society, vol. 46(1), pages 21-32, January.

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Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
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  5. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors

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 42 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 (35) 2004-05-02 2004-05-26 2004-11-07 2004-11-07 2005-02-27 2005-06-05 2005-06-19 2006-03-18 2006-07-21 2006-07-21 2007-08-08 2009-12-11 2009-12-11 2010-06-04 2010-07-10 2011-01-03 2011-10-09 2012-05-02 2012-05-02 2012-05-02 2013-12-29 2014-02-21 2014-07-28 2014-11-28 2016-01-29 2016-09-11 2016-09-11 2017-09-17 2019-04-29 2020-09-21 2020-11-02 2022-07-11 2023-09-04 2023-11-20 2024-11-04. Author is listed
  2. NEP-ETS: Econometric Time Series (21) 2004-05-02 2005-06-19 2006-07-21 2006-07-21 2007-08-08 2009-12-11 2011-10-09 2012-05-02 2012-05-02 2012-05-02 2013-12-06 2013-12-29 2014-02-21 2014-03-15 2014-07-28 2014-11-28 2014-12-03 2016-01-29 2016-09-11 2019-04-29 2023-12-04. Author is listed
  3. NEP-FOR: Forecasting (9) 2007-08-08 2014-02-21 2014-11-28 2016-01-29 2017-09-17 2022-07-11 2022-07-18 2023-09-04 2023-12-04. Author is listed
  4. NEP-ORE: Operations Research (6) 2016-01-29 2016-09-11 2017-09-17 2018-10-15 2019-04-29 2021-12-06. Author is listed
  5. NEP-DEM: Demographic Economics (1) 2022-07-18

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