Spatial externalities between Brazilian municipios and their neighbours [PDF]
Clustering of economic performance and growth in space has generated considerable research on the spillovers and linkages among geographical neighbours.
Gilles Spielvogel, Philippe De Vreyer
core
Forecasting Natural Gas Prices in Real Time
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
Two Essays on Spatial Econometrics and An Essay on Pre-Employment Credit Checks
, 2014 Xin Yu
openalex +1 more source
Spatial econometric analysis of highway and regional economy in Missouri
, 2006 Yong-Lyoul Kim
openalex +2 more sources
The Spatial Random Effects and the Spatial Fixed Effects Model. The Hausman Test in a Cliff and Ord Panel Model [PDF]
This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both ...
Mutl, Jan, Pfaffermayr, Michael
core
Spatial econometrics (2, Spatial heterogeneity)
, 2000 Les méthodes de l’économétrie spatiale visent à traiter les deux grandes particularités des données spatiales : l’autocorrélation spatiale qui se réfère à l’absence d’indépendance entre observations géographiques et l’hétérogénéité spatiale qui est liée à la différenciation dans l’espace des variables et des comportements.
openaire +1 more source
The PCDID Approach to Treatment Effects Estimation: A Further Investigation
Journal of Applied Econometrics, EarlyView.ABSTRACT In the present paper, we study the so‐called “PCDID” approach to treatment effects estimation in panels with interactive effects where the factors represent trends whose effect need not be parallel across the cross‐sectional units. Our interest in this step‐wise approach originates with the observation that the interactive effects are ignored ...
Tilman Bretschneider, Joakim Westerlund
wiley +1 more source
Demand forecasting of smart tourism integrating spatial metrology and deep learning. [PDF]
Sci RepMa J.
europepmc +1 more source
Impact and Mechanism of Digital Inclusive Finance on the Urban–Rural Income Gap of China from a Spatial Econometric Perspective [PDF]
Yuan Mo, Jing Mu, Hui Wang
openalex +1 more source
Reduced-bias estimation of spatial econometric models with incompletely geocoded data [PDF]
, 2019 Giuseppe Arbia +4 more
openalex +1 more source