Similar Search Results

Baltagi, Badi H. - In: Journal of forecasting 27 (2008) 2, pp. 153-173

Persistent link: https://www.econbiz.de/10003738580

Baltagi, Badi H. - 2006

This paper gives a brief survey of forecasting with panel data. Starting with a simple error component regression and surveying best linear unbiased prediction under various assumptions of the disturbance term. This includes various ARMA models as well as spatial autoregressive models. The paper...

Persistent link: https://www.econbiz.de/10003373876

Forecasting with panel data

Baltagi, Badi H. (contributor) - 2006

Persistent link: https://www.econbiz.de/10003363840

Special issue on forecasting, use of survey data on expectations, and panel data applications: editors' introduction

Baltagi, Badi H. - In: Empirical economics : a journal of the Institute for … 53 (2017) 1, pp. 1-6

Persistent link: https://www.econbiz.de/10011942101

Baltagi, Badi H.; Pirotte, Alain - In: Empirical economics : a journal of the Institute for … 40 (2011) 1, pp. 5-49

Persistent link: https://www.econbiz.de/10008859122

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

Prediction in a spatial nested error components panel data model

Baltagi, Badi H.; Pirotte, Alain - In: International journal of forecasting 30 (2014) 3, pp. 407-414

Persistent link: https://www.econbiz.de/10010511584

Prediction in the random effects model with MA(q) remainder disturbances

Baltagi, Badi H.; Liu, Long - In: Journal of forecasting 32 (2013) 4, pp. 333-338

Persistent link: https://www.econbiz.de/10009775501

Estimation and prediction in the random effects model with AR(p) remainder disturbances

Baltagi, Badi H.; Liu, Long - In: International journal of forecasting 29 (2013) 1, pp. 100-107

Persistent link: https://www.econbiz.de/10009706170

Prediction in an unbalanced nested error components panel data model

Baltagi, Badi H.; Pirotte, Alain - In: Journal of forecasting 32 (2013) 8, pp. 755-768

Persistent link: https://www.econbiz.de/10010344460