Economics at your fingertips  

EDM: Stata module to implement empirical dynamic modeling

Jinjing Li, Michael Zyphur, Patrick Laub (), Edoardo Tescari, Simon Mutch and George Sugihara
Additional contact information
Michael Zyphur: University of Melbourne
Edoardo Tescari: NA
Simon Mutch: NA
George Sugihara: University of California San Diego

Statistical Software Components from Boston College Department of Economics

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

Language: Stata
Requires: Stata version 14
Keywords: dynamic modeling; convergent cross mapping (search for similar items in EconPapers)
Date: 2019-01-27, Revised 2021-06-17
Note: This module should be installed from within Stata by typing "ssc install edm". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) program code (text/plain) help file (text/plain) binary plugin binary plugin binary plugin binary plugin sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This software item can be ordered from

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Page updated 2022-05-19
Handle: RePEc:boc:bocode:s458593