Results 261 to 270 of about 74,950 (301)
Some of the next articles are maybe not open access.

Spatial Econometric Models

2009
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 spatial sample of observations being analyzed could come from a number of sources. Examples of point-level observations would be individual homes, firms, or schools.
James P. LeSage, R. Kelley Pace
openaire   +1 more source

Spatial Econometric OD-Flow Models

2013
Spatial interaction or gravity models have been used in regional science to model flows that take many forms, for example, population migration, commodity flows, traffic flows, and knowledge flows, all of which reflect movements between origin and destination regions.
LeSage, James P.   +1 more
openaire   +2 more sources

Spatial econometric modelling

2014
Typically, social and economic data have some spatial dimension. Unemployment is recorded by local unemployment agencies and tracked by government, accumulations of hazardous waste occur in proximity to specific human populations, crimes are committed at a location, consumers purchase goods at stores located in certain places and social inequality is ...
openaire   +1 more source

Spatial Econometrics

2020
Keuntae Kim, Simon C. Brewer
openaire   +2 more sources

A Review of Software for Spatial Econometrics in R

Mathematics, 2021
Roger S Bivand   +2 more
exaly  

Determinants of Airbnb prices in European cities: A spatial econometrics approach

Tourism Management, 2021
Kristóf Gyódi, Łukasz Nawaro
exaly  

Home - About - Disclaimer - Privacy