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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 (Australia)

Sydney, Australia
http://www.business.unsw.edu.au/

:


RePEc:edi:fcnswau (more details at EDIRC)

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

Sydney, Australia
http://www.economics.unsw.edu.au/

: (+61)-2-9385-3380
+61)-2- 9313- 6337
Australian School of Business Building, Sydney 2052
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.

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. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
    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. 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.
    4. Emilio Zanetti Chini, 2803. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers 2018-13, Department of Economics and Business Economics, Aarhus University.
    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. Louis J. Maccini & Adrian Pagan, 2006. "Inventories, Fluctuations and Business Cycles. Working paper #4," NCER Working Paper Series 4, National Centre for Econometric Research.
    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).
    8. Michael Arghyrou, 2009. "Monetary policy before and after the euro: evidence from Greece," Empirical Economics, Springer, vol. 36(3), pages 621-643, June.
    9. 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.
    10. 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.
    11. 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.
    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.

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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