Behind any good policy stands good data. And as the global economy becomes increasingly digitalized, effective policy and regulation are critical to ensure a stable and equitable financial system. Jim Tebrake is Deputy Director and heads the data and methodology efforts in the IMF Statistics Department. In this podcast, Tebrake says the world of digital money is changing quickly and statisticians should be prepared to provide the data that policymakers need to respond effectively.
Check out the latest IMF Statistical Forum at IMF.org
Covid-19 has shown the important role that data and statistics play in assessing the disruptions caused by the pandemic–economic and otherwise–and implementing measures to mitigate its impact. The IMF's Statistics Department brings together leading thinkers in the world of data in its annual Statistical Forum. This year, Ian Goldin was invited to give a keynote speech on Economics, Institutions, and Multilateralism in the context of Covid-19, and to discuss his book The Butterfly Defect with IMF Managing Director Kristalina Georgieva. Goldin is the Oxford University Professor of Globalization and Development, and Director of the Oxford Martin Program on Technological and Economic Change. In this podcast, Goldin says bouncing back should not imply resorting to pre-pandemic approaches but to set out on a new and more sustainable path.
There’s been a huge surge in data usage across all sectors of the economy of late. And in the financial sector, recent research by MIT’s Maryam Farboodi shows that while data resolves some risk for investors, it also creates risk. In this podcast, Farboodi talks about how big data is disproportionally benefiting the larger firms and how the distributional aspects of data may be exacerbating inequality. Maryam Farboodi is an Assistant Professor of Finance at the MIT Sloan School of Management, her research on Data in Finance has been published in the National Bureau of Economic Research. Farboodi was invited to speak at the IMF’s Institute for capacity Development.
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.
Read her blog The Enlightened Economist
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.
Ravi Kanbur: T. H. Lee Professor of World Affairs and Professor of Economics at Cornell University.