An application of partial least squares to the construction of the Social Institutions and Gender index (SIGI) and the Corruption Perception Index (CPI)

Arbeitspapier

In this paper the Social Institutions and Gender Index (SIGI) is constructed with Principal Component Analysis (PCA) and Partial Least Squares (PLS). Using the SIGI, we test the effects of social institutions related to gender inequality on several development outcomes, such as female education, fertility, child mortality and corruption, controlling for relevant determinants. As the measure of corruption we use the Corruption Perception Index (CPI), considering alternative weighting procedures using PCA and PLS. We find that gender inequality in social institutions has significant effect on fertility and corruption regardless of the weighting procedure, while for female education and child mortality only the SIGI based on PLS generates significant results.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Discussion Papers ; No. 173

Classification and Topics

• Classification: Wirtschaft ; Index Numbers and Aggregation; Leading indicators ; Economics of Gender; Non-labor Discrimination ; Feminist Economics ; Bureaucracy; Administrative Processes in Public Organizations; Corruption
• Subject: Social Institutions and Gender Index ; SIGI ; Corruption Perception Index ; CPI ; Principal Component Analysis ; PCA ; Partial Least Squares ; PLS ; non-metric variables

Contributors, Location and Time

• Event: Geistige Schöpfung
• (who): Yoon, Jisu ; Klasen, Stephan
• Event: Veröffentlichung
• (who): Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)
• (where): Göttingen
• (when): 2015

Further information

• Handle: http://hdl.handle.net/10419/109028
• Last update: 20.09.2024, 8:23 AM CEST