Assessing the contribution of R&D to total factor productivity-a Bayesian approach to account for heterogeneity and heteroskedasticity

AStA Advances in Statistical Analysis

Volumn 95, Issue 4, 2011, Pages 435-452

  Bresson, Georges ^a   Hsiao, Cheng ^b,c,d   Pirotte, Alain ^a,e  

^a UNIVERSITÉ PANTHÉON ASSAS   (France)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d XIAMEN UNIVERSITY   (China)

^e UNIVERSITÉ GUSTAVE EIFFEL   (France)

Author keywords

Heteroskedasticity; Hierarchical Bayes; Markov Chain Monte Carlo simulations; Panel data; Productivity; R D; Random coefficient model

Indexed keywords

EID: 81355127287     PISSN: 18638171     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10182-011-0169-y     Document Type: Article

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