Qualitative business surveys: signal or noise?
AbstractThis papers identifies the information content at the firm-level of qualitative business survey data by first examining the consistency between these data and the quantitative data provided by the same respondents to the UKâs ONS in official surveys. Since the qualitative data are published ahead of the quantitative data the paper then assesses the ability of the qualitative data to predict (or nowcast) the firm-level quantitative data.
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Bibliographic InfoArticle provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).
Volume (Year): 174 (2011)
Issue (Month): 2 (04)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0964-1998
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- Breitung, Jörg & Schmeling, Maik, 2011.
"Quantifying survey expectations: What's wrong with the probability approach?,"
Diskussionspapiere der Wirtschaftswissenschaftlichen FakultÃ¤t der Leibniz UniversitÃ¤t Hannover
dp-485, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- 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.
- M. Caivano & A. Harvey, 2013. "Time series models with an EGB2 conditional distribution," Cambridge Working Papers in Economics 1325, Faculty of Economics, University of Cambridge.
- Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.
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