International economic statistics. Biased arbiters in global affairs?

International economic statistics play central roles in global economic
governance. Governments and international organizations rely on them to monitor international economic agreements; governments use them to understand potential imbalances in bilateral relationships; and international investors build their country assessments on such data. These statistics increasingly suffer from serious defects, however, due to globalization, the digitization of our economies, and the prominence of secrecy jurisdictions and multinational corporations. For that reason, economic data is not a neutral arbiter in international affairs. Instead, it suffers from four kinds of bias: expert attention bias means that the objects of measurement – what they are meant to capture – depends on the preoccupations of the small circle of statistical experts. Countability bias skews economic figures in favor of countable objects and away from for example unremunerated labor and production as well as ephemeral economic process, such as knowledge production. Capitalist bias emerges because economic statistics naturalize unequal power relations in the global economy: they mistake a country’s inability to fetch high prices for its products for low productivity and a lack of added value. Stealth-wealth bias, finally, means that secrecy jurisdictions and corporate obfuscation hide the true distribution of wealth and productivity around the world. This article cautions against an insufficiently critical use of statistics in international affairs. And it encourages policymakers to “know thy data” lest biases in the numbers generate skewed policies, unnecessary disputes and a gradual delegitimization of statistics in general.