Showing 1 - 8 of 8
A factor based approach is often used to build Composite Indicators (CI) from qualitative data stemming from Business and Consumers Survey (BCS). Bruno and Malgarini (2002) and Gayer and Genet (2006) have used factor analysis to synthesize the information contained in the balances of the various...
Persistent link: https://www.econbiz.de/10008517681
Persistent link: https://www.econbiz.de/10003704624
Persistent link: https://www.econbiz.de/10003800155
Persistent link: https://www.econbiz.de/10001201725
The paper looks at an often debated issue - the decline observed in business cycle volatility - from a rather original point of view represented by careful consideration of qualitative data deriving from Business Tendency Surveys. It first concentrates on the manufacturing sector, providing...
Persistent link: https://www.econbiz.de/10013154341
The paper looks at an often debated issue – the decline observed in business cycle volatility – using qualitative data derived from Business Tendency Surveys. It concentrates on the manufacturing sector, providing evidence that volatility slowdown is attributable to a break in the Data...
Persistent link: https://www.econbiz.de/10008492379
The aim of this paper is to empirically investigate the cyclical features of the main Italian Manufacturing Business Survey indicators using time and frequency domain techniques. In particular, it analyzes the dynamics of each survey variable over time and with respect to different benchmark...
Persistent link: https://www.econbiz.de/10005449465
This paper investigates the underlying sources of the Italian industrial sector fluctuations. It concentrates in particular on the role of different shocks on the manufacturing business cycle. To this end, it considers both domestic shocks (to hours worked and to technology) and external shocks...
Persistent link: https://www.econbiz.de/10005405083