An Alternative to the Carlson-Parkin Method for the Quantification of Qualitative Inflation Expectations: Evidence from the Ifo World Economic Survey
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Cited by:
- Evgenia Kudymowa & Johanna Garnitz & Klaus Wohlrabe, 2013. "Ifo World Economic Survey and Real Economic Developments in Selected Countries," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(19), pages 23-30, October.
- Breitung, Jörg & Schmeling, Maik, 2013.
"Quantifying survey expectations: What’s wrong with the probability approach?,"
International Journal of Forecasting, Elsevier, vol. 29(1), pages 142-154.
- Breitung, Jörg & Schmeling, Maik, 2011. "Quantifying survey expectations: What's wrong with the probability approach?," Hannover Economic Papers (HEP) dp-485, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Christian Mueller & Aniela Wirz & Nora Sydow, 2007. "A Note on the Carlson-Parkin Method of Quantifying Qualitative Data," KOF Working papers 07-168, KOF Swiss Economic Institute, ETH Zurich.
- Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe, 2007.
"Mikrodaten im ifo Institut für Wirtschaftsforschung – Bestand, Verwendung und Zugang,"
AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 1(1), pages 27-42, June.
- Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018.
"Tracking economic growth by evolving expectations via genetic programming: A two-step approach,"
Working Papers
XREAP2018-4, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2018.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," AQR Working Papers 201801, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2018.
- Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
- Teresita Bascos-Deveza, 2011. "Quantifying qualitative data from expectation surveys: how well do expectation surveys forecast inflation?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 128-137, Bank for International Settlements.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
- Tine Janžek & Petra Ziherl, 2013. "Overview of models and methods for measuring economic agent’s expectations," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 172-179, Bank for International Settlements.
- Perevyshin, Yury (Перевышин, Юрий) & Rykalin, A.S. (Рыкалин, А.С.), 2018. "Modeling Inflation Expectations in the Russian Economy [Моделирование Инфляционных Ожиданий В Российской Экономике]," Working Papers 031816, Russian Presidential Academy of National Economy and Public Administration.
- Evgenia Kudymowa & Johanna Garnitz & Klaus Wohlrabe, 2014. "Ifo World Economic Survey and the Business Cycle in Selected Countries," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(04), pages 51-57, January.
- Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
- Evgenia Kudymowa & Johanna Garnitz & Klaus Wohlrabe, 2014. "Ifo World Economic Survey and the Business Cycle in Selected Countries," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(4), pages 51-57, January.
- Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
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More about this item
JEL classification:
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
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