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Now displaying: Category: data & statistics
Dec 8, 2017

Gross domestic product, or GDP, is the one statistic that almost everyone knows is used to measure economic growth. But in this podcast, economist Diane Coyle suggests GDP may be a poor measure of prosperity. With all the technological advances in recent years one would expect that economies have become more productive. But when measured in GDP the numbers show the opposite is true. Coyle refers to this phenomenon as the productivity puzzle, and says the mismeasurement of digital activities within the economy has a lot to do with it. Coyle is Professor of Economics at the University of Manchester, and spoke at the IMF Statistical forum on Measuring the Digital Economy.  

Diane Coyle, Professor of Economics at the University of Manchester, and author of GDP: A Brief but Affectionate History

Read her blog The Enlightened Economist

Dec 9, 2016

Ravi Kanbur says statistics are fundamentally political in nature and in import. Kanbur is Professor of Economics at Cornell University and gave the keynote speech at the Fourth IMF Statistical forum on Statistics for Inclusive Growth, held in November 2016. In this podcast, Kanbur says data doesn’t always reflect reality when it comes to poverty and inequality.

Contributors:

Ravi Kanbur: T. H. Lee Professor of World Affairs and Professor of Economics at Cornell University.

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