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EDM: Stata module to implement empirical dynamic modeling

Author

Listed:
  • Jinjing Li

    () (National Centre for Social and Economic Modelling, University of Canberra)

  • Michael Zyphur

    (University of Melbourne)

  • George Sugihara

    (University of California San Diego)

Abstract

The command edm implements a series of tools that can be used for empirical dynamic modeling in Stata.

Suggested Citation

  • Jinjing Li & Michael Zyphur & George Sugihara, 2019. "EDM: Stata module to implement empirical dynamic modeling," Statistical Software Components S458593, Boston College Department of Economics, revised 25 Oct 2019.
  • Handle: RePEc:boc:bocode:s458593
    Note: This module should be installed from within Stata by typing "ssc install edm". Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/e/edm.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/e/edm.sthlp
    File Function: help file
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/c/chicago.dta
    File Function: sample data file
    Download Restriction: no

    Citations

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    Cited by:

    1. Joshy,Jacob & Desai, Naman & Agarwalla, Sobhesh Kumar, 2015. "Are Big 4 Audit Fee Premiums Always Related to Superior Audit Quality? Evidence from India’s Unique Audit Market," IIMA Working Papers WP2015-03-10, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. repec:eee:riibaf:v:42:y:2017:i:c:p:689-709 is not listed on IDEAS
    3. Munisi, Gibson & Randøy, Trond, 2013. "Corporate governance and company performance across Sub-Saharan African countries," Journal of Economics and Business, Elsevier, vol. 70(C), pages 92-110.
    4. repec:eee:jocaae:v:11:y:2015:i:1:p:46-60 is not listed on IDEAS
    5. repec:eee:advacc:v:33:y:2016:i:c:p:59-67 is not listed on IDEAS

    More about this item

    Keywords

    dynamic modeling; convergent cross mapping;

    Statistics

    Access and download statistics

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