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Both parts of Volume 44 of Advances in Econometrics pay tribute to
Fabio Canova for his major contributions to economics over the last
four decades. Throughout his long and distinguished career,
Canova's research has achieved both a prolific publication record
and provided stellar research to the profession. His colleagues,
co-authors and PhD students wish to express their deep gratitude to
Fabio for his intellectual leadership and guidance, whilst
showcasing the extensive advances in knowledge and theory made
available by Canova for professionals in the field. Advances in
Econometrics publishes original scholarly econometrics papers with
the intention of expanding the use of developed and emerging
econometric techniques by disseminating ideas on the theory and
practice of econometrics throughout the empirical economic,
business and social science literature. Annual volume themes,
selected by the Series Editors, are their interpretation of
important new methods and techniques emerging in economics,
statistics and the social sciences.
Both parts of Volume 44 of Advances in Econometrics pay tribute to
Fabio Canova for his major contributions to economics over the last
four decades. Throughout his long and distinguished career,
Canova's research has achieved both a prolific publication record
and provided stellar research to the profession. His colleagues,
co-authors and PhD students wish to express their deep gratitude to
Fabio for his intellectual leadership and guidance, whilst
showcasing the extensive advances in knowledge and theory made
available by Canova for professionals in the field. Advances in
Econometrics publishes original scholarly econometrics papers with
the intention of expanding the use of developed and emerging
econometric techniques by disseminating ideas on the theory and
practice of econometrics throughout the empirical economic,
business and social science literature. Annual volume themes,
selected by the Series Editors, are their interpretation of
important new methods and techniques emerging in economics,
statistics and the social sciences.
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