Modeling indices using partial least squares: How to determine the optimum weights?

Taşkın Dirsehan*, Jörg Henseler

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
153 Downloads (Pure)

Abstract

Indices are often used to model theoretical concepts in economics and finance. Beyond the econometric models used to test the relationships between these variables, partial least squares path modeling (PLS-PM) allows the study of complex models, but it is an estimator that is still in its infancy in economics and finance research. Thus, the use of PLS-PM for composite analysis needs to be explored further. As one such attempt, this paper is focused on the determination of the indices’ optimum weights. For this purpose, the effects of the market potential index (MPI) on foreign direct investment (FDI) and gross domestic product (GDP) were analysed by implementing different weighting schemes. The assessment of the model shows that PLS Mode B leads to better model fit.

Original languageEnglish
Pages (from-to)521-535
Number of pages15
JournalQuality & quantity
Volume57
Early online date29 Oct 2022
DOIs
Publication statusPublished - Dec 2023

Keywords

  • UT-Hybrid-D

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