RETHINK
ECONOMICS
RETHINK
ECONOMICS
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Doriana Demerxhiu

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Doriana contributed to the following content

2020
Level: advanced
Exploring Economics, an open-access e-learning platform, giving you the opportunity to discover & study a variety of economic theories, topics, and methods.
2020
Level: advanced
Fighting Neoliberalism with Keynes & Minsky? Riccardo Bellofiore proposes to revise the insights of Minsky's financial instability hypothesis, combining it with the Keynesian theory of the monetary circuit to answer many questions in modern economy.
2020
Level: beginner
Dr. Katherine Trebeck explains some reasons why we should believe the future of the economy should be a wellbeing economy.
2020
Level: beginner
Professor Joseph Aldy from Harvard Kennedy School gives us some insights about how economics can set the balance between policymakers, scientists, employers and citizens.
2020
Level: beginner
In this lecture, Branko Milanovic gives an overview of the concept of inequality as conceptualized within the classical school of thought.
2019
Level: advanced
Thomas Piketty's Capital in the Twenty-First Century is the most widely discussed work of economics in recent history, selling millions of copies in dozens of languages. But are its analyses of inequality and economic growth on target? Where should researchers go from here in exploring the ideas Piketty pushed to the forefront of global conversation? A cast of economists and other social scientists tackle these questions in dialogue with Piketty, in what is sure to be a much-debated book in its own right.
2018
Level: advanced
This book is intended as a textbook for a course in behavioural economics for advanced undergraduate and graduate students who have already learned basic economics. The book will also be useful for introducing behavioural economics to researchers. Unlike some general audience books that discuss behavioural economics, this book does not take the position of negating traditional economics completely.
2019
Level: advanced
The concern of this book is how to model time series statistically and there is emphasized the practical, applied aspects of statistical time series modeling. The author aims to provide methods that may be used to understand and analyze time series that accur in the “real world” that researchers face.

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