Tootfinder

Joel Mokyr, Philippe Aghion, and Peter Howitt win the Nobel Prize in Economics for their work on how innovation and technological progress helps economic growth (Eshe Nelson/New York Times)
https://www.nytimes.com/2025/10/13/business/nobel-prize-economics.html…

Joel Mokyr, Philippe Aghion and Peter Howitt Share Nobel in Economics
Joel Mokyr, Philippe Aghion and Peter Howitt won the prize for showing how “society must keep an eye on the factors that generate and sustain economic growth,” an award committee member said.

Trends in New Mexico School Districts Serving Low-Income Communities
Uloma E. Nelson, Onyedikachi J. Okeke
https://arxiv.org/abs/2510.09993 https://arxiv.o…

Trends in New Mexico School Districts Serving Low-Income Communities
This study examines recent enrollment trends and their socioeconomic drivers within New Mexico's public school districts, with a specific focus on those serving low-income communities. Utilizing a mixed-methods geospatial framework, the research integrates longitudinal enrollment data, district poverty metrics from the Small Area Income and Poverty Estimates (SAIPE), and neighborhood context from the American Community Survey (ACS) from 2019 to 2023. The analysis reveals that while statewide K-…

Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
Onyedikachi J. Okeke, Uloma E. Nelson, Chukwudi Nwaogu, Olumide O. Oladoyin, Emmanuel Kubuafor, Dennis Baidoo, Titilope Akinyemi, Adedoyin S. Ajeyomi, Rekiya A. Idris, Isaac A. Fabunmi
https://arxiv.org/abs/2510.11048

Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
This study applies Multiscale Geographically Weighted Regression (MGWR) to examine the spatial determinants of household wealth in Bernalillo County, New Mexico. The model incorporates sociodemographic, environmental, and proximity-based variables to evaluate how locational suitability influences economic outcomes. Key factors considered include income, home value, elevation, PM2.5 concentration, and distances to essential services such as schools, markets, and hospitals. The MGWR model demonst…