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HHcte: GAUSS module to Apply a Bootstrap Test for Causality with Endogenous Lag Order

Author

Listed:
  • Scott Hacker

    (Jonkoping University, Sweden)

  • Abdulnasser Hatemi-J

    (UAE University)

Programming Language

GAUSS

Abstract

This GAUSS module implements a new bootstrap test for causality with endogenous lag length selection. The test is robust to time-varying volatility and it performs well when the variables in the VAR model are integrated. For technical description see Hacker and Hatemi-J (2010) A Bootstrap Test for Causality with Endogenous Lag Length Choice: Theory and Application in Finance, Working Paper Series in Economics and Institutions of Innovation 223, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies. The paper is available on line.

Suggested Citation

  • Scott Hacker & Abdulnasser Hatemi-J, 2010. "HHcte: GAUSS module to Apply a Bootstrap Test for Causality with Endogenous Lag Order," Statistical Software Components G00012, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:g00012
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/h/HHcte.prg
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    Citations

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    Cited by:

    1. Abdulnasser Hatemi-J & Youssef El-Khatib, 2016. "An extension of the asymmetric causality tests for dealing with deterministic trend components," Applied Economics, Taylor & Francis Journals, vol. 48(42), pages 4033-4041, September.
    2. Abdulnasser Hatemi-J & Mrittika Shamsuddin, 2016. "The causal interaction between financial development and human development in Bangladesh," Applied Economics Letters, Taylor & Francis Journals, vol. 23(14), pages 995-998, September.

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