Arbeitspapier
Composite indices based on partial least squares
In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate weights for composite indices. In this context we also consider various treatments of non-metric variables when constructing such composite indices. Using simulation studies we find that dummy coding for non-metric variables yields satisfactory performance compared to more sophisticated statistical procedures. In our applications we illustrate how PLS can generate weights that differ substantially from those obtained with PCA, increasing the composite indices' predictive performance for the outcome variable considered.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Papers ; No. 171
- Klassifikation
-
Wirtschaft
Statistical Simulation Methods: General
Index Numbers and Aggregation; Leading indicators
Urban, Rural, Regional, Real Estate, and Transportation Economics: Household Analysis: General
Economic Impacts of Globalization: Economic Development
- Thema
-
Principal Component Analysis
PCA
Partial Least Squares
PLS
non-metric variables
wealth index
globalization
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Yoon, Jisu
Klasen, Stephan
Dreher, Axel
Krivobokova, Tatyana
- Ereignis
-
Veröffentlichung
- (wer)
-
Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)
- (wo)
-
Göttingen
- (wann)
-
2015
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Yoon, Jisu
- Klasen, Stephan
- Dreher, Axel
- Krivobokova, Tatyana
- Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)
Entstanden
- 2015
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