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Interpretation of structural parameters for models with spatial autoregression

Pietrzak, Michał Bernard - 2013

The main purpose of the article is to consider a important issue of spatial econometrics which is a proper …

Persistent link: https://www.econbiz.de/10011997008

Misspecification in linear spatial regression models

Florax, Raymond J. G. M.; Nijkamp, Peter - 2003

spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics …. Spatial econometrics focuses on the specification and estimation of regression models explicitly incorporating such spatial …, referring to both heterogeneity and interdependence of phenomena occurring in two-dimensional space. Spatial autocorrelation or …

Persistent link: https://www.econbiz.de/10011334352

Smooth transition spatial autoregressive models

Andree, Bo Pieter Johannes; Blasques, Francisco; … - 2017

geometric ergodicity of the model. Simulation results justify the use of limit theory in empirically relevant settings. The …

Persistent link: https://www.econbiz.de/10011658755

Spatial dependence in house prices : evidence from China's interurban housing market

Gong, Yunlong; Boelhouwer, Peter J.; Haan, Jan de - 2014

autocorrelation of house prices and explanatory variables within larger distances, whereas the significant spatial autocorrelation of …

Persistent link: https://www.econbiz.de/10011495528

Is spatial bootstrapping a panacea for valid inference?

Klarl, Torben - 2013

Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...

Persistent link: https://www.econbiz.de/10010239512

Difference-in-differences techniques for spatial data : local autocorrelation and spatial interaction

Delgado, Michael S.; Florax, Raymond J. G. M. - 2015

We consider treatment effect estimation via a difference-in-difference approach for data with local spatial interaction such that the outcome of observed units depends on their own treatment as well as on the treatment status of proximate neighbors. We show that under standard assumptions...

Persistent link: https://www.econbiz.de/10011301196

Evaluation of interrelatedness of cities in the territorial space of Russia

Manaeva, Inna; Rastvortseva, Svetlana; Kanishcheva, … - In: Journal of economic structures : JES; the official … 11 (2022), pp. 1-18

The purpose of the article is to carry out the analysis of interrelatedness of cities in the territorial space of Russia. The evaluation method is based on the calculation of global and local Moran's indexes for determination of interrelatedness of the adjacent territories by the following...

Persistent link: https://www.econbiz.de/10013459621

The use of spatial filtering techniques : the spatial and space-time structure of German unemployment data

Patuelli, Roberto; Griffith, Daniel A.; Tiefelsdorf, Michael - 2006

as employment, requires an understanding of spatial (or spatio-temporal) autocorrelation effects associated with a … deal with the analysis of and accounting for spatial autocorrelation by means of spatial filtering t! echniques for data …

Persistent link: https://www.econbiz.de/10011349204

Shrinking networks : a spatial analysis of bank branch closures

Tranfaglia, Anna - 2018

Philadelphia, Chicago, and Baltimore metropolitan statistical areas (MSAs). Additionally, spatial autocorrelation is tested, and an …

Persistent link: https://www.econbiz.de/10011891826

Forecasting regional labour market developments under spatial heterogeneity and spatial autocorrelation

Longhi, Simonetta; Nijkamp, Peter - 2005

error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical …

Persistent link: https://www.econbiz.de/10011343272

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