Wea conference: Trade Wars after Coronavirus

WEA Pedagogy Blog

The  United States declared an economic war on China in early 2018. Economic warfare is a unilateral action that questions the existence of multilateralism and places the question of what regime we are about to enter after the weakening of the existing multilateral trade agencies. US trade policy opens the door for new relationships between emerging market economies and international financial institutions on issues of liberalisation but mostly it ends a period started in the 1980’s of unregulated international trade and opens a new one. The solution to the structural economic problems of the US, similar to those of Britain in the 1960’s is not tariffs and trade restrictions. The trade war is above all a war that will be won by one side at some point.

The recent outbreak of coronavirus has just added more uncertainties to the global trade war scenario

The next WEA on line conference Trade…

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How to Lie With Statistics (in the Age of Big Data)

mathbabe

When I emailed my mom last month to tell her the awesome news about the book I’m writing she emailed me back the following:

i.e, A modern-day How to Lie with Statistics (1954), avail on Amazon
for $9.10.  Love, Mom

That was her whole email. She’s never been very verbose, in person or electronically. Too busy hacking.

Even so, she gave me enough to go on, and I bought the book and recently read it. It was awesome and I recommend it to anyone who hasn’t read it – or read it recently. It’s a quick read and available as a free pdf download here.

The goal of the book is to demonstrate all the ways marketers, journalists, accountants, and sometimes even statisticians can bias your interpretation of statistical facts or even just confuse you into thinking something is true when it’s not. It’s illustrated as well, which…

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A better proxy than confirmed cases for the US is hospital beds

mathbabe

If you’re anything like me, you’re driving yourself a bit nuts looking for information on the COVID-19 situation in the U.S. as well as internationally.

And, if you’re like me, you will have been tearing your hair out frustrated by the bad quality of data. For terrible political and cultural and of course capitalistic reasons, we are not getting tested at reasonable rates as charts like this demonstrate:

That means, as cool as websites like this or this are for up-to-date data on country and state level confirmed positive test results and deaths, we are not actually seeing enough to know how bad things really are. Note to the people who run those sites: please add columns for “number of tests administered” so we have some idea of how incomplete the data really is.

All of the above is nothing new, I’m sure you’ve already complained at length to your…

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Les économistes dans la cité au XXe siècle

The Undercover Historian

Note: ce texte est l’ébauche d’une introduction à la seconde partie d’un manuel sur l’histoire de l’économie dirigé par Samuel Ferey et Sylvie Rivot. Les commentaires, corrections et suggestions sont les bienvenus. 

Introduction

De plus en plus présents et visibles sur la scène publique au XXe siècle, les économistes fascinent, dérangent, et divisent. C’est à eux, par exemple, que la reine d’Angleterre demande des comptes à la suite de la crise financière de 2008. Paradoxalement, s’ils sont, dans l’imaginaire collectif, représentés par des figures tutélaires comme celles de Keynes ou de Friedman, dont les idées ont façonné la politique publique, leurs prescriptions n’en restent pas moins anonymes et désincarnées: ces économistes qui calculent, évaluent, ferment des hôpitaux ou augmentent le salaire minium, inspirent la crainte. Si l’aura des économistes fluctue largement avec les phases de crises et d’expansion qui ont traversé le XXe siècle, la trajectoire de la profession a…

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Logistic Regression in R: A Classification Technique to Predict Credit Card Default

What's The Big Data?

Logistic regression is one of the statistical techniques in machine learning used to form prediction models. It is one of the most popular classification algorithms mostly used for binary classification problems (problems with two class values; however, some variants may deal with multiple classes as well). It’s used for various research and industrial problems. Therefore, it is essential to have a good grasp on the logistic regression algorithm. This tutorial is a sneak peek from many of Data Science Dojo’s hands-on exercises from their 5-day data science bootcamp, you will learn how logistic regression fits a dataset to make predictions, as well as when and why to use it.

In short, Logistic Regression is used when the dependent variable (target) is categorical. For example:

  • To predict whether an email is spam (1) or not spam (0)
  • Whether the tumor is malignant (1) or not (0)

It is named as…

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WEA CONFERENCE “GOING DIGITAL”. Deadline extended to 30 October

WEA Pedagogy Blog

The advent of digital economy creates new challenges for businesses, workers, and policymakers. Moreover, business prospects for artificial intelligence and machine learning are evolving quickly. These technologies have transforming implications for all industries, businesses of all sizes, and societies. The digitalization of economic activities calls for a deep reflection on the forces that will shape the future of the global economy.

The objective of this conference, led by Prof. Maria Alejandra Madi and Dr. Malgorzata Dereniowska, is to discuss recent contributions to the understanding of digital economy and its consequences for business trends and labour challenges. The conference also focuses on bridging the gap between different economic theoretical approaches and the practical applications of artificial intelligence and machine learning.

The Conference calls for a focused reflection on the benefits and risks of the high-tech revolution is an important element of shaping sustainable business and just labor. Related topics include law…

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