After “Raising the Bar”: applied maximum likelihood estimation of families of models in spatial econometrics. [PDF]
Elhorst (2010) shows how the recent publication of LeSage and Pace (2009) in his expression “raises the bar” for our fitting of spatial econometrics models. By extending the family of models that deserve attention, Elhorst reveals the need to explore how
Bivand, Roger
core
Optimizing Spatial Weight Matrices in Spatial Econometrics: A Graph-Theoretic Approach Based on Shortest Path Algorithms: A New York City Application of Crime and Economic Indicators [PDF]
In spatial econometrics, traditional spatial weight matrix (SWM) methods often fail to capture the complex spatial dynamics of large cities. This study optimizes SWM calculations within spatial econometric models, constructing Graph-Based Spatial Weight ...
Song, Y, Cibin, A
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Domestic and External Drivers of Brazilian Pork Price Volatility Under Russian Trade Policies
Agribusiness, EarlyView.ABSTRACT This study investigates how Russian trade policies and domestic factors influence the volatility of Brazilian live swine prices from 2004 to 2019. We employ a DCC‐MGARCH framework, along with volatility impulse‐response functions and the connectedness approach, to analyze time‐varying co‐movement and dynamic volatility spillovers across pork ...
Gabriel Rosero +2 more
wiley +1 more source
Spatial econometric analysis of the evolution of the European regional convergence process, 1980-1999 [PDF]
beta-convergence, convergence clubs, European regions, spatial ...
Julie Le Gallo, Sandy Dall'erba
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Drought Exposure and Dynamic Input Adjustment in North Central U.S. Agriculture
Agribusiness, EarlyView.ABSTRACT This article examines whether realized extreme drought episodes affect the speed of adjustment of derived input demands and output supplies toward their long‐run equilibrium in U.S. agriculture, focusing on states in the North Central Region.
Victor H. Lana Pinto +2 more
wiley +1 more source
The Biggest Myth in Spatial Econometrics
Econometrics, 2014 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 models.
James P. LeSage, R. Kelley Pace
doaj +1 more source
Spatial Convergence in China: 1952-99 [PDF]
China, income distribution, spatial effects, spatial ...
Hewings, Geoffrey J.D. +2 more
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American Journal of Agricultural Economics, EarlyView.Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Spatial Econometrics and GIS YouTube Playlist
REGION, 2018 This resource describes a website and playlist of YouTube videos using open source software (R, GeoDa, and QGIS) designed to help get scholars up and running with analyzing their own data.
Mark L. Burkey
doaj +1 more source
Bike-sharing system in Poznan – what will Web API data tell us?
Prace Komisji Geografii Komunikacji PTG, 2020 Bike-sharing systems, also known as public bicycles, are among the most dynamically developing mobility solutions in contemporary cities.
Michał Dzięcielski +2 more
doaj +1 more source