Andrés Riquelme
Datos Biográficos
| ID | 4457528 |
|---|---|
| NOMBRE | Andrés Riquelme |
| NOMBRES | Andrés |
| APELLIDO | Riquelme |
| FIRMA | RIQUELME A |
| AFILIACIONES | University of Talca |
| ORCID | 0000-0003-1220-0926 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Does mining activity affects economic welfare in mining and neighboring districts? Evidence from Peru, 2003–2019
Multidimensional Poverty as a Determinant of Techno-Distress in Online Education
The rapid shift to online education during the COVID-19 pandemic exacerbated mental health risks for students, particularly those experiencing multidimensional poverty-a potential contributor to psychological distress in digital learning environments. This study examines how poverty-driven techno-distress (technology-related stress) impacts university students' mental health, focusing on 202 Chilean learners engaged in remote classes. Using parti…
Neo-liberalized Housing Policy and Urban Accessibility
Sharp Threshold Detection Based on Sup-Norm Error Rates in High-Dimensional Models
We propose a new estimator, the thresholded scaled Lasso, in high-dimensional threshold regressions. First, we establish an upper bound on the l∞ estimation error of the scaled Lasso estimator of Lee, Seo, and Shin. This is a nontrivial task as the literature on high-dimensional models has focused almost exclusively on l1 and l2 estimation errors. We show that this sup-norm bound can be used to distinguish between zero and nonzero coefficients at…
Sharp Threshold Detection Based on Sup-Norm Error Rates in High-Dimensional Models
We propose a new estimator, the thresholded scaled Lasso, in high-dimensional threshold regressions. First, we establish an upper bound on the l∞ estimation error of the scaled Lasso estimator of Lee, Seo, and Shin. This is a nontrivial task as the literature on high-dimensional models has focused almost exclusively on l1 and l2 estimation errors. We show that this sup-norm bound can be used to distinguish between zero and nonzero coefficients at…
Neo-liberalized Housing Policy and Urban Accessibility
Multidimensional Poverty as a Determinant of Techno-Distress in Online Education
The rapid shift to online education during the COVID-19 pandemic exacerbated mental health risks for students, particularly those experiencing multidimensional poverty-a potential contributor to psychological distress in digital learning environments. This study examines how poverty-driven techno-distress (technology-related stress) impacts university students' mental health, focusing on 202 Chilean learners engaged in remote classes. Using parti…
Does mining activity affects economic welfare in mining and neighboring districts? Evidence from Peru, 2003–2019
Political science (2 obras) · Psychology (2 obras) · Socioeconomic status (2 obras) · Advanced Statistical Methods and Models (1 obra) · Business (1 obra) · Clinical Psychology (1 obra) · Clinical Psychology (1 obra) · Computer Science (1 obra) · Coronavirus disease 2019 (COVID-19 (1 obra) · COVID-19 and Mental Health (1 obra)