This paper provides a comprehensive review of empirical studies on the capitalization of
school quality into house values that have appeared since 1999. We explore their …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

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

There is near universal agreement that estimates and inferences from spatial regression
models are sensitive to particular specifications used for the spatial weight structure in these …

Spatial econometric theory and practice have been dominated by a focus on object data. In
economic analysis these objects correspond to economic agents with discrete locations in …

Spatial regression models allow us to account for dependence among observations, which
often arises when observations are collected from points or regions located in space. The …

Today's investment decisions in large-scale onshore wind projects in Germany are no
longer determined only by the investment's economic benefit, but also by concerns …

As one of the strategies local governments adopt in response to fiscal stress, tax competition
influences the social optimum level of public goods such as environment. This paper aims to …

Taking a Bayesian perspective on model uncertainty for static panel data models proposed
in the spatial econometrics literature considerably simplifies the task of selecting an …

Rollouts of COVID-19 vaccines in the USA were opportunities to redress disparities that
surfaced during the pandemic. Initial eligibility criteria, however, neglected geographic …