HHcte: GAUSS module to Apply a Bootstrap Test for Causality with Endogenous Lag Order
AbstractThis 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.
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Bibliographic InfoSoftware component provided by Boston College Department of Economics in its series Statistical Software Components with number G00012.
Programming language: GAUSS
Date of creation: 08 Jun 2010
Date of revision:
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
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