All Stories

  1. From data to decision: Alleviating poverty and promoting development through measuring the unmeasurable economic numbers
  2. Economic Valuation of Non-Timber Forest Products (NTFPs) on the East Coast of Lagonoy, Camarines Sur, Philippines: Evidence from Discounting and Exponential Smoothing Techniques
  3. Optimizing machine learning algorithms for multidimensional poverty prediction in the Philippines
  4. Measuring vote-selling and modeling electoral behavior of students and professionals in the philippine election: Evidence from econometric modeling, machine learning, and artificial neural networks (ANN)
  5. Multidimensional impact evaluation of the national conditional cash transfer on poverty alleviation and economic development in the poorest region of Luzon, Philippines
  6. Factors influencing agricultural insurance acceptance among rice farmers in the poorest Region of Luzon, Philippines: A multinomial model analysis
  7. Does Computer-Assisted Instruction (CAI) Influence Academic Performance of High School Students in Social Studies? Evidence from the Philippines
  8. Predicting Dual Poverty in Informal Transportation: A Machine Learning and Econometrics Approach
  9. Financial literacy, financial inclusion, and food security: A comparative analysis of green and blue economy in the poorest region of Luzon, Philippines
  10. Bagyong Kristine (TS Trami) in Bicol, Philippines: Flood Risk Forecasting, Disaster Risk Preparedness Predictions and Lived Experiences through Machine Learning (ML), Econometrics, and Hermeneutic Analysis
  11. Do indigenous people get left behind? An innovative methodology for measuring the unmeasurable economic conditions and poverty from the poorest region of Luzon, Philippines
  12. The impact of conditional cash transfer (CCT) on health and education in a coastal community: A randomized control trial (RCT) and regression discontinuity design (RDD)
  13. Measuring the Unmeasurable: Decomposing Multidimensional Rural Poverty and Promoting Economic Development in the Poorest Region of Luzon, Philippines
  14. Can Data Empower Indigenous People? Unveiling an Innovative Dataset for Quantitative Analysis, Replication Modeling, and Economic Development
  15. Combining machine learning (ML) and participatory rural appraisal (PRA) for disaster risk preparedness (DRP): Evidence from the poorest region of Luzon, Philippines
  16. When machine learning meets econometrics: Can it build a better measure to predict multidimensional poverty and examine unmeasurable economic conditions?
  17. Measuring the unmeasurable multidimensional poverty for economic development: Datasets, algorithms, and models from the poorest region of Luzon, Philippines
  18. Measuring the Unmeasurable through Machine Learning Regressions and Classifications: Multidimensional Poverty Predictions in the Poorest Region of Luzon, Philippines
  19. Combining Machine Learning and Advanced Econometrics: Multidimensional Poverty Predictions for Sustainable Rural Development in the Poorest Region of Luzon, the Philippines
  20. Covid – 19 Pandemic and Its Influence on The Level of Preparedness of Graduating Students for The Upcoming Licensure Examination
  21. The Dynamics of Taro (Colocasia esculenta) through Value Chain Analysis and Crop Accounting in Partido District, Camarines Sur, the Philippines
  22. Economic Behavior of Fisherfolks that Govern their Decisions to Practice Accounting: Evidence from Probit Models
  23. Poverty Profile and Health Dynamics of Indigenous People
  24. Unraveling the Nexus of Science & Technology Input and Economic Growth through Research & Development (R&D) Indicators in Asia-pacific Region: A Panel Data and Causality Analysis
  25. Productivity value chain analysis of cassava in the Philippines
  26. UNTYING EMPIRICAL KNOTS: DETERIORATION OF PROFITABILITY, ECONOMIC FAILURE, AND FINANCIAL INSOLVENCY IN THE PHILIPPINES BEFORE COVID-19 OUTBREAK