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Ifo World Economic Survey Database - An International Economic Expert Survey

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  • Boumans, Dorine
  • Garnitz, Johanna

Abstract

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Suggested Citation

  • Boumans, Dorine & Garnitz, Johanna, 2017. "Ifo World Economic Survey Database - An International Economic Expert Survey," Munich Reprints in Economics 55041, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenar:55041
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    Cited by:

    1. Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
    2. Dorine Boumans & Sebastian Link & Stefan Sauer, 2020. "Covid-19: Die Weltwirtschaft auf der Intensivstation: Erkenntnisse aus einer weltweiten Expertenumfrage," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(05), pages 52-56, May.
    3. Dorine Boumans & Clemens Fuest & Carla Krolage & Klaus Wohlrabe, 2020. "Expected effects of the US tax reform on other countries: global and local survey evidence," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(6), pages 1608-1630, December.
    4. Joachim Wagner, 2024. "Data Observer—a guide to data that can help to inform evidence-based policymaking," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 279-287, June.
    5. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(54), pages 5802-5816.
    6. Peter Andrebriq & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2022. "Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 2958-2991.
    7. Raffaele Mattera & Michelangelo Misuraca & Maria Spano & Germana Scepi, 2023. "Mixed frequency composite indicators for measuring public sentiment in the EU," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2357-2382, June.
    8. Johanna Garnitz & Robert Lehmann & Klaus Wohlrabe, 2019. "Weltweite Prognosen des Bruttoinlandsprodukts mit Hilfe der Indikatoren des ifo World Economic Survey," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(15), pages 36-39, August.
    9. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Economic Uncertainty: A Geometric Indicator of Discrepancy Among Experts’ Expectations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 95-114, May.
    10. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(54), pages 5802-5816.
    11. Dorine Boumans & Anna Pauliina Sandqvist & Stefan Sauer, 2020. "Wie sieht der Erholungskurs der Weltwirtschaft aus? Erkenntnisse aus einer weltweiten Umfrage bei Wirtschaftsexpert*innen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(10), pages 62-67, October.
    12. Dorine Boumans & Henrik Müller & Stefan Sauer, 2022. "How Media Content Influences Economic Expectations: Evidence from a Global Expert Survey," ifo Working Paper Series 380, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    13. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88, October.

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