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🚨 HAPPENING TODAY 🚨

 

How Better Statistics Lead To Better Policy
In A Changing World


DECEMBER 3, 2021; 11:00AM - 2:00PM ET

 

TODAY from 11am - 2pm ET, join the Progressive Policy Institute’s Innovation Frontier Project for a virtual conference for policymakers, staffers and journalists titled “How Better Statistics Lead to Better Policy in a Changing World.”

Our economy is becoming increasingly global and digital, but economic statistics are slow to adapt to this new reality. In many ways policymakers are flying blind: Why don't we have the data we need on the digital economy, the price and value of cutting-edge medical treatments, and global supply chains and inflation? Innovation is everywhere except in the economic statistics.


The Innovation Frontier Project has assembled a panel of leading experts who will address the need for new statistics in the key areas of the digital economy; health care; and supply chains. They will show how a relatively small investment in improving our data can avoid huge policy mistakes. 
 

WHAT: Virtual conference for policymakers, staffers, and journalists

WHEN: Friday, December 3; 11:00am-2:00pm ET; Zoom

PURPOSE: This conference brings together leading experts to show how our economic statistics need to be improved to avoid policy mistakes in the digital and global economy.

MODERATORS:

Michael Mandel
  Vice President and Chief Economist, PPI

Arielle Kane

   Director of Health Policy, PPI
Panel 1: Measuring the Digital Economy

Diane Coyle
  Professor of Public Policy, University of Cambridge (keynote)
Shane Greenstein
  Professor of Business Administration, Harvard Business School
Panel 2: Tracking Health Care

David Cutler
  Professor of Applied Economics, Harvard University
Murray Aitken
  Executive Director, IQVIA Institute for Human Data Science
 Vice-President and Director of Research, Upjohn Institute for Employment
Robert Johnson
  Associate Professor of Economics, University of Notre Dame
Concluding Remarks

John Haltiwanger
  Professor of Economics, University of Maryland
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