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Isserman’s impact : quasi-experimental comparison group designs in regional research
Feser, Edward J. - In: International regional science review 36 (2013) 1, pp. 44-68
Persistent link: https://www.econbiz.de/10010241543
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Panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable
Elhorst, J. Paul - 2001
Persistent link: https://www.econbiz.de/10001578745
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Using spatial contiguity as Bayesian prior information in regional forecasting models
Lesage, James P. - In: International regional science review 18 (1995) 1, pp. 33-53
Persistent link: https://www.econbiz.de/10001214264
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Estimating undisclosed earnings data
Weddleton, John - In: The annals of regional science : an international … 22 (1988) 1, pp. 84-90
Persistent link: https://www.econbiz.de/10001111603
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A regression approach to regional forecasting
Zeliaś, Aleksander J. - In: Papers of the Regional Science Association 61 (1987), pp. 39-49
Persistent link: https://www.econbiz.de/10001074178
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Analysis of spatial contiguity influences on state price level formation
Dowd, Michael Robert - In: International journal of forecasting 13 (1997) 2, pp. 245-253
Persistent link: https://www.econbiz.de/10001230127
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A framework for regional modeling and impact analysis : an analysis of the demand for electricity by large municipalities in Ontario, Canada
Hsiao, Cheng - In: Journal of regional science 34 (1994) 3, pp. 361-385
Persistent link: https://www.econbiz.de/10001187467
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Comparing estimation methods for spatial econometrics techniques using R
Bivand, Roger - 2010
Persistent link: https://www.econbiz.de/10008661818
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Estimation strategies for a spatial dynamic panel using GMM : a new approach to the convergence issue of European regions
Bouayad-Agha, Salima; Védrine, Lionel - In: Spatial economic analysis : the journal of the Regional … 5 (2010) 2, pp. 205-227
Persistent link: https://www.econbiz.de/10003973211
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Simulated geo-coordinates as a tool for map-based regional analysis
Groß, Marcus; Rendtel, Ulrich; Schmid, Timo; … - 2018
Map-based regional analysis is interested to detect areas with a large concentration of certain populations. Here kernel density estimates (KDE) offer advantages over classical choropleth maps. However, kernel density estimation needs exact geo-coordinates. In a recent paper Groß et al. (2017)...
Persistent link: https://www.econbiz.de/10011794551