Abstract
In this paper a Factorial Matrices technique suitable for exploratory analysis of multivariate, disaggregated time series is presented and applied to a data set covering 19 US manufacturing industries over the years 1979 to 1990. The empirical analysis confirms that the technique is a powerful tool, allowing otherwise difficult extraction of stylized facts from multidimensional datasets. In this case: (i) there are no signs of deindustrialization induced by growing import penetration, and, (ii), employment decline has generally not been associated to substitution of capital to labour.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 295-304 |
| Number of pages | 10 |
| Journal | Applied Economics |
| Volume | 34 |
| Issue number | 3 |
| DOIs | |
| State | Published - Feb 19 2002 |
All Science Journal Classification (ASJC) codes
- Economics and Econometrics
Fingerprint Dive into the research topics of 'Exploring 3D datasets: A factorial matrices analysis of the US industry in the 1980s'. Together they form a unique fingerprint.
Cite this
Fachin, S., Shea, D. G., & Vichi, M. (2002). Exploring 3D datasets: A factorial matrices analysis of the US industry in the 1980s. Applied Economics, 34(3), 295-304. https://doi.org/10.1080/00036840110043749