Behavioural models for manufacturing firms: analysing survey data
Survey data on manufacturing firms are usually analysed on an aggregate basis, calculating for each question the so-called "balance" between the number of positive and negative replies. The simple average of selected balances is then commonly used to calculate the confidence indicator. While balance and confidence indicators provide an easy-to-compute and easy-to-understand quantification of survey results, and therefore are considered useful tools to analyse the sector’s cyclical situation, a cyclical analysis based on balance and confidence indicators alone fails to fully exploit all the information embedded in the survey. More specifically, computation of the balance statistic disregards "neutral" answers to survey questions and no attempt is made to identify potential relationships between the different responses to the various survey questions given by the same firms. A more in-depth study of this information can provide interesting insights into firms’ opinions on the economic situation. The contribution presents a new methodology based on cluster analysis that takes into account also the neutral answers and then uses it to assess the similarities and differences between the recent crisis and current recovery, and to compare these to past cyclical crises, specifically, the major recession of 1992-1993 and subsequent recovery in 1993-1995.
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Volume (Year): 2011/4 (2011)
Issue (Month): 4 ()
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References listed on IDEAS
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- Cesaroni, Tatiana & Maccini, Louis & Malgarini, Marco, 2011.
"Business cycle stylized facts and inventory behaviour: New evidence for the Euro area,"
International Journal of Production Economics,
Elsevier, vol. 133(1), pages 12-24, September.
- Tatiana Cesaroni & Louis Maccini & Marco Malgarini, 2009. "Business cycle volatility and inventories behavior:new evidence for the Euro Area," ISAE Working Papers 108, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Pesaran, M.H. & Weale, M., 2005.
Cambridge Working Papers in Economics
0536, Faculty of Economics, University of Cambridge.
- Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
- Tommaso Proietti & Cecilia Frale, 2007.
"New proposals for the quantification of qualitative survey data,"
CEIS Research Paper
98, Tor Vergata University, CEIS.
- 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.
- Carlson, John A & Parkin, J Michael, 1975. "Inflation Expectations," Economica, London School of Economics and Political Science, vol. 42(166), pages 123-138, May.
- Dr Martin Weale, 2005. "Survey Expectations," NIESR Discussion Papers 260, National Institute of Economic and Social Research.
- Meila, Marina, 2007. "Comparing clusterings--an information based distance," Journal of Multivariate Analysis, Elsevier, vol. 98(5), pages 873-895, May.
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