Remapping IR: Daniel Mügge & Lukas Linsi
Lukas Linsi and Daniel Mügge of the University of Amsterdam will present key findings from their paper Harmonized Inaccuracy: International Economic Statistics in the Age of Globalization. Official international economic statistics are generally considered accurate and meaningful indicators of trends in cross-border flows of trade and capital, and most users of these statistics seem confident that the quality of the underlying data keeps improving over time. This article evaluates these common assumptions at hand of the International Monetary Fund’s Balance of Payments Statistics. The assessment paints a less rosy picture: Reported key figures are far less accurate than they are typically imagined to be; frequently, they do not correspond to the theoretical concepts with which users associate them and data quality has not improved over time but actually grown worse. In the light of these findings, we ask why these important deficiencies are so little acknowledged in academic research and economic policy discourses.
Tuesday, November 14, 2017 at 12:30pm to 2:00pm
3600 N St., N.W., Washington