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 |
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All Science Journal Classification (ASJC) codes
- Economics and Econometrics
Cite this
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Exploring 3D datasets : A factorial matrices analysis of the US industry in the 1980s. / Fachin, Stefano; Shea, Dennis G.; Vichi, Maurizio.
In: Applied Economics, Vol. 34, No. 3, 19.02.2002, p. 295-304.Research output: Contribution to journal › Article
TY - JOUR
T1 - Exploring 3D datasets
T2 - A factorial matrices analysis of the US industry in the 1980s
AU - Fachin, Stefano
AU - Shea, Dennis G.
AU - Vichi, Maurizio
PY - 2002/2/19
Y1 - 2002/2/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0036167287&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036167287&partnerID=8YFLogxK
U2 - 10.1080/00036840110043749
DO - 10.1080/00036840110043749
M3 - Article
VL - 34
SP - 295
EP - 304
JO - Applied Economics
JF - Applied Economics
SN - 0003-6846
IS - 3
ER -