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Advances in Cross-Section Data Methods in Applied Economic Research

2019 International Conference on Applied Economics (ICOAE 2019)

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Advances in Cross-Section Data Methods in Applied Economic Research Nicholas Tsounis
Libristo code: 41003984
Publishers Springer, February 2020
This proceedings volume presents new methods and applications in applied economics with special inte... Full description
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This proceedings volume presents new methods and applications in applied economics with special interest in advanced cross-section data estimation methodology. Featuring select contributions from the 2019 International Conference on Applied Economics (ICOAE 2019) held in Milan, Italy, this book explores areas such as applied macroeconomics, applied microeconomics, applied financial economics, applied international economics, applied agricultural economics, applied marketing and applied managerial economics. International Conference on Applied Economics (ICOAE) is an annual conference that started in 2008, designed to bring together economists from different fields of applied economic research, in order to share methods and ideas. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics, to analyze economic problems of the real world, usually with economic policy interest. In addition, there is growing interest in the field of applied economics for cross-section data estimation methods, tests and techniques. This volume makes a contribution in the field of applied economic research by presenting the most current research.Featuring country specific studies, this book is of interest to academics, students, researchers, practitioners, and policy makers in applied economics, econometrics and economic policy.

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About the book

Full name Advances in Cross-Section Data Methods in Applied Economic Research
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2020
EAN 9783030382537
Libristo code 41003984
Publishers Springer
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