This paper promotes the use of random forests as versatile tools for estimating spatially
disaggregated indicators in the presence of small area-specific sample sizes. Small area …

Finding a way to move the economy away from rapid growth and toward high-quality
development is essential for China's economic success. Financial resilience and steady …

Income inequality estimators are biased in small samples, leading generally to an
underestimation. This aspect deserves particular attention when estimating inequality in …

Economic inequalities referring to specific regions are crucial in deepening spatial
heterogeneity. Income surveys are generally planned to produce reliable estimates at …

Reliable estimators of the spatial distribution of socio-economic indicators are essential for
evidencebased policy-making. As the accuracy of direct estimates from survey data …

Аннотация Настоящая статья представляет совокупность методических подходов к
прогнозированию пространственной неоднородности транспортных миграционных …

The thesis combines four papers that introduce a coherent framework based on MERFs for
the estimation of spatially disaggregated economic and inequality indicators and associated …

Income inequality estimators are biased in small samples, leading generally to an
underestimation. This aspect deserves particular attention when estimating inequality in …

Thе article presents a set of methodological approaches to forecasting the spatial
heterogeneity of transportation migration flows in Russia. The purpose of the study is to …

Abstract In 2015, the United Nations (UN) set up 17 Sustainable Development Goals (SDGs)
to be achieved by 2030 (General Assembly, 2015). The goals encompass indicators of …