Machine learning in agricultural and applied economics
This review presents machine learning (ML) approaches from an applied economist's
perspective. We first introduce the key ML methods drawing connections to econometric …
perspective. We first introduce the key ML methods drawing connections to econometric …
Social protection in the developing world
Social protection programs have become increasingly widespread in low-and middle-
income countries, with their own distinct characteristics to match the environments in which …
income countries, with their own distinct characteristics to match the environments in which …
The impact of entrepreneurship orientation on project performance: A machine learning approach
Recent studies in project management have shown the important role of entrepreneurship
orientation of the individuals in project performance. Although identifying the role of …
orientation of the individuals in project performance. Although identifying the role of …
Technology, taxation, and corruption: evidence from the introduction of electronic tax filing
O Okunogbe, V Pouliquen - American Economic Journal: Economic …, 2022 - aeaweb.org
Many e-government initiatives introduce technology to improve efficiency and avoid
potential human bias. Using experimental variation, we examine the impact of electronic tax …
potential human bias. Using experimental variation, we examine the impact of electronic tax …
From quantity to quality: Delivering a home-based parenting intervention through China's family planning cadres
A key challenge in developing countries interested in providing early childhood
development (ECD) programmes at scale is whether these programmes can be effectively …
development (ECD) programmes at scale is whether these programmes can be effectively …
Using machine learning to identify heterogeneous impacts of agri-environment schemes in the EU: a case study
Abstract Legislators in the European Union have long been concerned with the
environmental impact of farming activities and introduced so-called agri-environment …
environmental impact of farming activities and introduced so-called agri-environment …
[HTML][HTML] Poverty and land redistribution
Despite a theoretical literature that promises that land transfers will have large impacts on
the well-being of poor households, well-identified empirical evidence on the efficacy of land …
the well-being of poor households, well-identified empirical evidence on the efficacy of land …
Predicting environmental impacts of smallholder wheat production by coupling life cycle assessment and machine learning
C Yu, G Xu, M Cai, Y Li, L Wang, Y Zhang… - Science of the Total …, 2024 - Elsevier
Wheat grain production is a vital component of the food supply produced by smallholder
farms but faces significant threats from climate change. This study evaluated eight …
farms but faces significant threats from climate change. This study evaluated eight …
Can digital inclusive finance facilitate productive investment in rural households?–An empirical study based on the China Household Finance Survey
C Fu, X Sun, M Guo, C Yu - Finance Research Letters, 2024 - Elsevier
Encouraging rural households to increase their own financial investment in agriculture is
necessary for agricultural productivity. Digital inclusive finance can help rural households …
necessary for agricultural productivity. Digital inclusive finance can help rural households …
Finding our balance? Revisiting the randomization revolution in development economics ten years further on
CB Barrett, MR Carter - World development, 2020 - Elsevier
Ten years ago, we offered reflections on the power and pitfalls of randomized controlled
trials in development economics, arguing that the research community had lost its balance …
trials in development economics, arguing that the research community had lost its balance …