Quantification of Qualitative Firm-Level Survey Data
AbstractSurvey data are widely used to provide indicators of economic activity ahead of the publication of official data. This paper proposes an indicator based on a theoretically consistent procedure for quantifying firm-level survey responses that are ordered and categorical. Firms" survey responses are assumed to be triggered by a latent continuous random variable as it crosses thresholds. Breaking tradition these thresholds are not assumed time invariant. An application to firm-level survey data from the Confederation of British Industry shows that the proposed indicator of manufacturing output growth outperforms traditional indicators that assume time-invariant thresholds. Copyright Royal Economic Society 2002.
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Bibliographic InfoArticle provided by Royal Economic Society in its journal Economic Journal.
Volume (Year): 112 (2002)
Issue (Month): 478 (March)
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Other versions of this item:
- James Mitchell & Richard J. Smith & Martin R. Weale, 2001. "Quantification of qualitative firm-level survey data," NIESR Discussion Papers 181, National Institute of Economic and Social Research.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- McAleer, M. & Smith, J., 1990.
"Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing,"
219, Australian National University - Department of Economics.
- Smith, Jeremy & McAleer, Michael, 1995. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 165-85, April-Jun.
- Chambers, Ray & Weale, Martin & Youll, Robin, 2000. "The Average Earnings Index," Economic Journal, Royal Economic Society, vol. 110(461), pages F100-121, February.
- Carlson, John A & Parkin, J Michael, 1975. "Inflation Expectations," Economica, London School of Economics and Political Science, vol. 42(166), pages 123-38, May.
- Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-55, December.
- Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, June.
- Smith, Richard J, 1989. "On the Use of Distributional Mis-specification Checks in Limited Dependent Variable Models," Economic Journal, Royal Economic Society, vol. 99(395), pages 178-92, Supplemen.
- Nerlove, Marc, 1983.
"Expectations, Plans, and Realizations in Theory and Practice,"
Econometric Society, vol. 51(5), pages 1251-79, September.
- Marc Nerlove, 1981. "Expectations, Plans and Realizations: In Theory and Practice," Discussion Papers 511, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Pesaran, M.H., 1992. "A Generalised R2 Criterion for Regression Models Estimated by the Instrumental Variable Method," Cambridge Working Papers in Economics 9220, Faculty of Economics, University of Cambridge.
- Bob McNabb & Karl Taylor, 2002.
"Business Cycles and the Role of Confidence: Evidence from Europe,"
Discussion Papers in Economics
02/3, Department of Economics, University of Leicester.
- Karl Taylor & Robert McNabb, 2007. "Business Cycles and the Role of Confidence: Evidence for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, 04.
- von Kalckreuth, Ulf & Murphy, Emma, 2005.
"Financial constraints and capacity adjustment in the United Kingdom: Evidence from a large panel of survey data,"
Discussion Paper Series 1: Economic Studies
2005,01, Deutsche Bundesbank, Research Centre.
- Ulf von Kalckreuth & Emma Murphy, 2005. "Financial constraints and capacity adjustment in the United Kingdom: evidence from a large panel of survey data," Bank of England working papers 260, Bank of England.
- Minkler, Lanse, 2004.
"Shirking and motivations in firms: survey evidence on worker attitudes,"
International Journal of Industrial Organization,
Elsevier, vol. 22(6), pages 863-884, June.
- Lanse Minkler, 2002. "Shirking and Motivations in Firms: Survey Evidence on Worker Attitudes," Working papers 2002-40, University of Connecticut, Department of Economics.
- Lanse Minkler, 2002. "Shirking and Motivation in Firms: Survey Evidence on Worker Attitudes," Working papers 2002-37, University of Connecticut, Department of Economics.
- Bruno Giancarlo & Lupi Claudio, 2003.
"Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data,"
ISAE Working Papers
33, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Bruno, Giancarlo & Lupi, Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," MPRA Paper 42332, University Library of Munich, Germany.
- Miguel A. Costa-Gomes & Georg Weizsäcker, 2004.
"Stated Beliefs and Play in Normal Form Games,"
122247000000000236, UCLA Department of Economics.
- 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?," Diskussionspapiere der Wirtschaftswissenschaftlichen FakultÃ¤t der Leibniz UniversitÃ¤t Hannover dp-485, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Tommaso Proietti & Cecilia Frale, 2011.
"New proposals for the quantification of qualitative survey data,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 30(4), pages 393-408, July.
- Tommaso Proietti & Cecilia Frale, 2007. "New proposals for the quantification of qualitative survey data," CEIS Research Paper 98, Tor Vergata University, CEIS.
- Nolte, Ingmar & Pohlmeier, Winfried, 2007. "Using forecasts of forecasters to forecast," International Journal of Forecasting, Elsevier, vol. 23(1), pages 15-28.
- Ulf von Kalckreuth, 2005. "Financial constraints and real activity: a non-structural approach using UK survey data," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 64-80 Bank for International Settlements.
- 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.
- David Bywaters & Gareth Thomas, 2008. "Output Expectations and Forecasting of UK Manufacturing," Atlantic Economic Journal, International Atlantic Economic Society, vol. 36(2), pages 125-137, June.
- Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
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