This review presents machine learning (ML) approaches from an applied economist's
perspective. We first introduce the key ML methods drawing connections to econometric …

We propose an integrated framework to discuss the empirical literature on the local
determinants of agglomeration effects. We start by presenting the theoretical mechanisms …

We provide a comprehensive overview of the strengths and weaknesses of different spatial
econometric model specifications in terms of spillover effects. Based on this overview, we …

Many disciplines have influenced the representation of spatial data, both in analogue and
digital forms. Surveyors, navigators, and military and civil engineers refined the fundamental …

Spatial econometrics has been criticized by some economists because some model
specifications have been driven by data‐analytic considerations rather than having a firm …

In this paper we propose a categorization of green space into eight different types and
quantify their impact on housing prices in the city of Aalborg using the hedonic house price …

This paper investigates the relationship between economic growth and regional income
inequality in a spatial econometric perspective. The role of space in the measure of …

Relationships between past events, future expectations and present decisions, typically
examined through a temporal prism within applied economics, have been lately moving to …

We test for evidence that energy efficiency features are capitalized into home prices in three
US metropolitan areas. Using hedonic regressions and multiple matching procedures, we …

Although spatial heterogeneity and spatial dependence are two cornerstones of spatial
econometrics, models and methods for dealing at the same time with both issues are still …