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James Andrew Engel

Personal Details

First Name:James
Middle Name:Andrew
Last Name:Engel
Suffix:
RePEc Short-ID:pen24
[This author has chosen not to make the email address public]
http://members.iinet.net.au/~james.engel/

Affiliation

(50%) UNSW Business School
UNSW Sydney

Sydney, Australia
http://www.business.unsw.edu.au/
RePEc:edi:fcnswau (more details at EDIRC)

(50%) School of Economics
UNSW Business School
UNSW Sydney

Sydney, Australia
http://www.economics.unsw.edu.au/
RePEc:edi:senswau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. A. Pagan & J. Engel & D. Haugh, 2004. "Some Methods for Assessing the Need for Non-linear Models in Business Cycle Analysis and Forecasting," Econometric Society 2004 Australasian Meetings 284, Econometric Society.
  2. James Engel & Marianne Gizycki, 1999. "Value at Risk: On the Stability and Forecasting of the Variance-covariance Matrix," RBA Research Discussion Papers rdp1999-04, Reserve Bank of Australia.
  3. James Engel & Geoffrey Shuetrim, 1998. "A Research Agenda For Prudential Supervision," Banking & Finance Conference Papers 9902, Centre for Australian Financial Institutions.

Articles

  1. Engel, J. & Haugh, D. & Pagan, A., 2005. "Some methods for assessing the need for non-linear models in business cycle analysis," International Journal of Forecasting, Elsevier, vol. 21(4), pages 651-662.

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. A. Pagan & J. Engel & D. Haugh, 2004. "Some Methods for Assessing the Need for Non-linear Models in Business Cycle Analysis and Forecasting," Econometric Society 2004 Australasian Meetings 284, Econometric Society.

    Cited by:

    1. Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2004. "Forecasting aggregates using panels of nonlinear time series," Econometric Institute Research Papers EI 2004-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Frédérick Demers & Ryan Macdonald, 2007. "The Canadian Business Cycle: A Comparison of Models," Staff Working Papers 07-38, Bank of Canada.

  2. James Engel & Marianne Gizycki, 1999. "Value at Risk: On the Stability and Forecasting of the Variance-covariance Matrix," RBA Research Discussion Papers rdp1999-04, Reserve Bank of Australia.

    Cited by:

    1. Giuseppe Brandi & Ruggero Gramatica & Tiziana Di Matteo, 2019. "Unveil stock correlation via a new tensor-based decomposition method," Papers 1911.06126, arXiv.org, revised Apr 2020.

Articles

  1. Engel, J. & Haugh, D. & Pagan, A., 2005. "Some methods for assessing the need for non-linear models in business cycle analysis," International Journal of Forecasting, Elsevier, vol. 21(4), pages 651-662.

    Cited by:

    1. Emilio Zanetti Chini, 2018. "Forecaster’s utility and forecasts coherence," CREATES Research Papers 2018-01, Department of Economics and Business Economics, Aarhus University.
    2. Shelley, Gary L. & Wallace, Frederick H., 2011. "Further evidence regarding nonlinear trend reversion of real GDP and the CPI," Economics Letters, Elsevier, vol. 112(1), pages 56-59, July.
    3. Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2004. "Forecasting aggregates using panels of nonlinear time series," Econometric Institute Research Papers EI 2004-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Zanetti Chini, Emilio, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," International Journal of Forecasting, Elsevier, vol. 34(4), pages 711-732.
    5. Silva Lopes, Artur C. & Florin Zsurkis, Gabriel, 2017. "Are linear models really unuseful to describe business cycle data?," MPRA Paper 79413, University Library of Munich, Germany.
    6. Frédérick Demers & Ryan Macdonald, 2007. "The Canadian Business Cycle: A Comparison of Models," Staff Working Papers 07-38, Bank of Canada.
    7. Lopes, Artur Silva & Zsurkis, Gabriel Florin, 2017. "Are linear models really unuseful to describe business cycle data?," Economics Discussion Papers 2017-5, Kiel Institute for the World Economy (IfW Kiel).
    8. Ferrara, Laurent & Darné, Olivier, 2009. "Identification of slowdowns and accelerations for the euro area economy," CEPR Discussion Papers 7376, C.E.P.R. Discussion Papers.
    9. Michael Arghyrou, 2009. "Monetary policy before and after the euro: evidence from Greece," Empirical Economics, Springer, vol. 36(3), pages 621-643, June.
    10. Arghyrou, Michael G. & Gregoriou, Andros, 2008. "Non-linearity versus non-normality in real exchange rate dynamics," Economics Letters, Elsevier, vol. 100(2), pages 200-203, August.
    11. Geraldine Dany-Knedlik & Alexander Kriwoluzky & Sandra Pasch, 2021. "Income Business Cycles," Discussion Papers of DIW Berlin 1964, DIW Berlin, German Institute for Economic Research.
    12. Amélie Charles & Olivier Darné, 2015. "Identifying and characterizing business and acceleration cycles of French jobseekers Identifying and characterizing business and acceleration cycles of French jobseekers," Working Papers hal-01160090, HAL.
    13. Emilio Zanetti Chini, 2019. "Strategic judgment: its game-theoretic foundations,its econometric elicitation," Working Papers in Public Economics 190, University of Rome La Sapienza, Department of Economics and Law.
    14. Arghyrou, Michael G. & Gregoriou, Andros, 2007. "Testing for Purchasing Power Parity correcting for non-normality using the wild bootstrap," Economics Letters, Elsevier, vol. 95(2), pages 285-290, May.
    15. Louis J. Maccini & Adrian Pagan, 2006. "Inventories, Fluctuations and Business Cycles. Working paper #4," NCER Working Paper Series 4, National Centre for Econometric Research.
    16. Pasch, Sandra & Dany-Knedlik, Geraldine, 2020. "On the cyclicity of the income distribution," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224654, Verein für Socialpolitik / German Economic Association.
    17. Silva Lopes, Artur C. & Florin Zsurkis, Gabriel, 2015. "Revisiting non-linearities in business cycles around the world," MPRA Paper 65668, University Library of Munich, Germany.
    18. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.

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 2 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-ETS: Econometric Time Series (2) 2000-10-31 2004-10-30
  2. NEP-ECM: Econometrics (1) 2000-10-31
  3. NEP-FIN: Finance (1) 2000-10-31
  4. NEP-FMK: Financial Markets (1) 2000-10-31
  5. NEP-MAC: Macroeconomics (1) 2004-10-30

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