TY  - BOOK
AU  - Canova,Fabio
AU  - Dolado,Juan José
AU  - Gambetti,Luca
AU  - Matthes,Christian
TI  - Essays in honour of Fabio Canova
T2  - Advances in econometrics
SN  - 9781803828336
U1  - 330.015195 23
PY  - 2022///
CY  - Bingley, U.K.
PB  - Emerald Publishing Limited
KW  - Econometrics
KW  - Business & Economics
N1  - Includes index; Includes bibliographical references; Chapter 1. Tests for random coefficient variation in vector autoregressive models / Dante Amengual, Gabriele Fiorentini, Gabriele, and Enrique Sentana -- Chapter 2. Monetary policy across space and time / Laura Liu, Christian Matthes, and Katerina Petrova -- Chapter 3. Heterogeneous switching in favar models / Pierre Guérin and Danilo Leiva-León -- Chapter 4. Business cycles in the eu: A comprehensive comparison across methods / Dmitrij Celov and Mariarosaria Comunale. -- Chapter 5. Understanding international interest rates co-movement / Michael Chin, Ferre De Graeve, Thomai Filippeli, and Konstantinos Theodoridis
N2  - 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
UR  - https://doi.org/10.1108/S0731-9053202244B
ER  -