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Dynamic panel data models
Baltagi, Badi H. - In: Handbook of research methods and applications in …, (pp. 229-248). 2013
Persistent link: https://www.econbiz.de/10010206795
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Spatial panels
Baltagi, Badi H. - In: Handbook of empirical economics and finance, (pp. 435-454). 2011
Persistent link: https://www.econbiz.de/10009130110
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Estimating regional trade agreement effects on FDI in an interdependent world
Baltagi, Badi H.; Egger, Peter; Pfaffermayr, Michael - In: Journal of econometrics 145 (2008) 1/2, pp. 194-208
Persistent link: https://www.econbiz.de/10003776456
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Estimating models of complex FDI : are there third-country effects?
Baltagi, Badi H.; Egger, Peter; Pfaffermayr, Michael - In: Journal of econometrics 140 (2007) 1, pp. 260-281
Persistent link: https://www.econbiz.de/10003579964
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An improved generalized moments estimator for a spatial moving average error model
Baltagi, Badi H.; Liu, Long - In: Economics letters 113 (2011) 3, pp. 282-284
Persistent link: https://www.econbiz.de/10009503063
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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
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Instrumental variable estimation of a spatial autoregressive panel model with random effects
Baltagi, Badi H.; Liu, Long - In: Economics letters 111 (2011) 2, pp. 135-137
Persistent link: https://www.econbiz.de/10009242395
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EC3SLS estimator for a simultaneous system of spatial autoregressive equations with random effects
Baltagi, Badi H.; Deng, Ying - In: Econometric reviews 34 (2015) 6/10, pp. 659-694
Persistent link: https://www.econbiz.de/10011483370
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The econometrics of rational addiction: the case of cigarettes
Baltagi, Badi H.; Griffin, James M. - In: Journal of business & economic statistics : JBES ; a … 19 (2001) 4, pp. 449-454
Persistent link: https://www.econbiz.de/10001646382
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A time-space dynamic panel data model with spatial moving average errors
Baltagi, Badi H.; Fingleton, Bernard; Pirotte, Alain - In: Regional science & urban economics 76 (2019), pp. 13-31
Persistent link: https://www.econbiz.de/10012267289