The national accounting paradox: how statistical norms corrode international economic data
| Autor: | Lukas Linsi, Daniel Mügge |
|---|---|
| Přispěvatelé: | Political Economy and Transnational Governance (PETGOV, AISSR, FMG) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Constructivism (international relations)
Sociology and Political Science international organizations National accounts 05 social sciences Economic statistics Economic measurement Archival research Witness 050601 international relations Article 0506 political science balance of payments Macroeconomic model Economic data Balance of payments constructivism statistics Political economy Political science Political Science and International Relations 050602 political science & public administration norms |
| Zdroj: | European Journal of International Relations European Journal of International Relations, 27(2):1354066120936339, 403-427. SAGE Publications Inc. European Journal of International Relations, 27(2), 403-427. SAGE Publications Ltd |
| ISSN: | 1460-3713 1354-0661 |
| Popis: | The transnationalization and digitization of economic activity has undermined the quality of official economic statistics, which still center on national territories and material production. Why do we not witness more vigorous efforts to bring statistical standards in line with present-day economic realities, or admissions that precision in economic data has become increasingly illusive? The paradoxical answer, we argue, lies in the norms underpinning global statistical practice. Users expect statistics to draw on unambiguous sources, to allow for comparison over time and across countries, and they prize coherence—both internally and with holistic macroeconomic models. Yet as we show, the ambition of the transnational statistical community to meet these norms has in fact undermined the ability of economic data to represent economic life more faithfully. We base our findings on interviews with two dozen leading statisticians at international economic organizations, archival research at the International Monetary Fund and a thorough review of debates among statistical experts. |
| Databáze: | OpenAIRE |
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