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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

Estimating and forecasting with a dynamic spatial panel data model

Baltagi, Badi H.; Fingleton, Bernard; Pirotte, Alain - 2011

Persistent link: https://www.econbiz.de/10009546961

Estimating and forecasting with a dynamic spatial panel data model

Baltagi, Badi H.; Fingleton, Bernard; Pirotte, Alain - In: Oxford bulletin of economics and statistics 76 (2014) 1, pp. 112-138

Persistent link: https://www.econbiz.de/10010439610

Forecasting spatially dependent origin and destination commodity flows

Lesage, James P.; Llano Verduras, Carlos - In: Empirical economics : a journal of the Institute for … 47 (2014) 4, pp. 1543-1562

Persistent link: https://www.econbiz.de/10010461898

Spatial dependence in stock returns : local normalization and VaR forecasts

Schmitt, Thilo A.; Schäfer, Rudi; Wied, Dominik; Guhr, … - In: Empirical economics : a journal of the Institute for … 50 (2016) 3, pp. 1091-1109

Persistent link: https://www.econbiz.de/10011481381

Robust forecasting in spatial autoregressive model with total variation regularization

Jiang, He - In: Journal of forecasting 42 (2023) 2, pp. 195-211

Persistent link: https://www.econbiz.de/10014292141

Spatial panel models of crop yield response to weather : econometric specification strategies and prediction performance

Yun, Seong Do; Gramig, Benjamin M. - In: Journal of agricultural and applied economics : JAEE 54 (2022) 1, pp. 53-71

Persistent link: https://www.econbiz.de/10013341776

Does Accounting for Spatial Effects Help Forecasting the Growth of Chinese Provinces?

Girardin, Eric; Kholodilin, Konstantin - 2009

In this paper, we make multi-step forecasts of the annual growth rates of the real GRP for each of the 31 Chinese provinces simultaneously. Beside the usual panel data models, we use panel models that explicitly account for spatial dependence between the GRP growth rates. In addition, the...

Persistent link: https://www.econbiz.de/10014046018

Does accounting for spatial effects help forecasting the growth of Chinese provinces?

Girardin, Eric; Kholodilin, Konstantin - 2009

-year horizon). -- Chinese provinces ; forecasting ; dynamic panel model ; spatial autocorrelation ; group-specific spatial …

Persistent link: https://www.econbiz.de/10003889550

How Helpful are Spatial Effects in Forecasting the Growth of Chinese Provinces?

Girardin, Eric - 2010

In this paper, we make multi-step forecasts of the annual growth rates of the real Gross Regional Product (GRP) for each of the 31 Chinese provinces simultaneously. Beside the usual panel data models, we use panel models that explicitly account for spatial dependence between the GRP growth...

Persistent link: https://www.econbiz.de/10013138903