Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective
Bibliographic Data
| ID | 2063701 |
|---|---|
| Authors | Cristina Davino (0000-0003-1154-4209, University of Naples Federico II, corresponding author), Pasquale Dolce (0000-0002-7588-6067, University of Naples Federico II), Stefania Taralli (0000-0003-0135-767X, Istituto Nazionale di Statistica), Domenico Vistocco (0000-0002-8541-6755, University of Naples Federico II) |
| Year | 2022 |
| Volume | 161 |
| Issue | 2-3 |
| Pages | 907-936 |
| Publication date | 2022-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Indicators Research (JOURNAL) |
| Journal identifiers | ISSN: 0303-8300 • E-ISSN: 1573-0921 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11205-020-02425-5 |
| OpenAlex | W3044927983 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest and provides conditional quantile predictions for the manifest variables of the outcome blocks. Quantile composite-based path modeling is shown in action on real data concerning well-being indicators. Health outcomes are assessed taking into account the effects of Economic well-being and Education. In fact, to support an accurate evaluation of the regional performances, the conditions within the outcomes arise should be properly considered. Assessing health inequalities in this multidimensional perspective can highlight the unobserved heterogeneity and contribute to advances in knowledge about the dynamics producing the well-being outcomes at local level
Econometrics · Path (computing · Perspective (graphical · Quantile · Statistics · Advanced Causal Inference Techniques · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Spatial and Panel Data Analysis · Artificial Intelligence
Handbook of Partial Least Squares
Handbook on Constructing Composite Indicators
Quantile Regression
Latent Variable Path Modeling with Partial Least Squares
The elephant in the room
Testing measurement invariance of composites using partial least squares
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Handbook on Constructing Composite Indicators
Partial Least Squares Structural Equation Modeling
A primer on partial least squares structural equation modeling (PLS-SEM)
Structural Analysis of Covariance and Correlation Matrices
Socioeconomic Inequalities in Health in 22 European Countries
Regression Quantiles
Community Trust
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |