Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- City University of New York (CUNY) (4)
- Central Washington University (3)
- Chapman University (2)
- University of Kentucky (2)
- University of Montana (2)
-
- University of New Mexico (2)
- American University in Cairo (1)
- Center for the Blue Economy (1)
- Illinois State University (1)
- Illinois Wesleyan University (1)
- Northern Illinois University (1)
- Nova Southeastern University (1)
- Portland State University (1)
- SIT Graduate Institute/SIT Study Abroad (1)
- Swarthmore College (1)
- The University of San Francisco (1)
- The University of Southern Mississippi (1)
- Universitas Indonesia (1)
- University of Louisville (1)
- University of Nevada, Las Vegas (1)
- University of San Diego (1)
- Utah State University (1)
- West Virginia University (1)
- Keyword
-
- GIS (4)
- Economic Development (2)
- Housing (2)
- Accessibility (1)
- Agriculture (1)
-
- Analisis Spasial (1)
- Analytic Hierarchy Process (1)
- Archives (1)
- Awareness (1)
- Balance of Trade (1)
- Bangladesh (1)
- Behavior statistics mixed-methods environmental education (1)
- Blue Economy (1)
- Break point analysis (1)
- California (1)
- Carshare (1)
- Cascadia (1)
- Central Europe (1)
- Chicago (1)
- Collaboration (1)
- Contested space (1)
- Correlation (1)
- Crime (1)
- Crime pattern analysis (1)
- Deforestation (1)
- Deindustrialization (1)
- Department of Geographic and Atmospheric Sciences (1)
- Development (1)
- Dialectical Materialism (1)
- Digital Humanities (1)
- Publication Year
- Publication
-
- All Master's Theses (3)
- Theses and Dissertations (3)
- Dissertations, Theses, and Capstone Projects (2)
- Economics Faculty Articles and Research (2)
- Graduate Student Theses, Dissertations, & Professional Papers (2)
-
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (1)
- Annual Symposium on Biomathematics and Ecology Education and Research (1)
- Capstone Collection (1)
- Digital Initiatives Symposium (1)
- Dissertations (1)
- Economics ETDs (1)
- Electronic Theses and Dissertations (1)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (1)
- Hatfield Graduate Journal of Public Affairs (1)
- Himalayan Research Papers Archive (1)
- Honors Capstones (1)
- International Conference on Gambling & Risk Taking (1)
- Journal of Ocean and Coastal Economics (1)
- Jurnal Ekonomi Kependudukan dan Keluarga (1)
- Master's Theses (1)
- Peace and Conflict Studies (1)
- Swarthmore Undergraduate History Journal (1)
- Theses and Dissertations--Agricultural Economics (1)
- Theses and Dissertations--Public Policy and Administration (1)
- Undergraduate Economic Review (1)
- Publication Type
Articles 31 - 32 of 32
Full-Text Articles in Spatial Science
Geospatial Modeling Of Vietnamese Fdi, Cuong Nguyen Tien
Geospatial Modeling Of Vietnamese Fdi, Cuong Nguyen Tien
Theses and Dissertations
This thesis sets a goal to analyze and project geographically disaggregated measures of FDI using aggregate data. We regress the country level FDI with aggregate, fine geospatial data on GDP, urban extent, and risk. By disaggregating the model, we will predict the FDI flow in every 1000 square kilometer area.
Building A Better Model: Variable Selection To Predict Poverty In Pakistan And Sri Lanka, Marium Afzal, Jonathan Hersh, David Newhouse
Building A Better Model: Variable Selection To Predict Poverty In Pakistan And Sri Lanka, Marium Afzal, Jonathan Hersh, David Newhouse
Economics Faculty Articles and Research
Numerous studies have developed models to predict poverty, but surprisingly few have rigorously examined different approaches to developing prediction models. This paper applies out of sample validation techniques to household data from Pakistan and Sri Lanka, to compare the accuracy of regional poverty predictions from models derived using manual selection, stepwise regression, and Lasso-based procedures. It also examines how much incorporating publically available satellite data into the model improves its accuracy. The five main findings are that: 1) Lasso tends to outperform both discretionary and stepwise models in Pakistan, where the set of potential predictors is large. 2) Lasso and …