Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries
By Andrew B. Bernard, Charles I. Jones. 2001
749 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/f4ce23125eeefa07de20be7dc839aae09585a052
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Citations in the corpus
- Social capital, barriers to production and capital shares: implications for the importance of parameter heterogeneity from a nonstationary panel approach (2007, background): “Many researchers, including recently Bernard and Jones [1996] , Durlauf and Johnson [1995], Caselli, Esquivel”
- INTRODUCTION TO MEASUREMENT WITH THEORY (2009, methodology): “Modern production theory based on the user cost of capital and superlative indices was used in constructing their database.18 Inklaar and Timmer find that Bernard and Jones (1996) were basically right: patterns of convergence in a set of advanced OECD countries differ considerably across sectors.”
- The Transitional Dynamics of Fiscal Policy: Long-Run Capital Accumulation and Growth (2004, positive): “This characteristic is relevant to the empirical evidence of Bernard and Jones (1996), who find that while growth rates of output among OECD countries converge, the growth rates of manufacturingtechnologies exhibit markedly different time profiles.”
- Creative destruction and firm-specific performance heterogeneity (2007, background): “However, if industry TFP growth converges to economy average rates – see e.g. Bernard and Jones (1996) regarding this debate - the error terms in our panel regressions might be correlated with TFP levels.”
- European cities in the process of economic integration: towards structural convergence (2007, background): “The notion of β-convergence has also been criticised through the definition of multiple growth paths or multi-sectoral approaches ( Bernard and Jones 1996; Durlauf and Quah 1999).”
- Market Services Productivity Across Europe and the US (2007, positive): “This finding of convergence of MFP levels within service industries confirms earlier analysis by, for example, Bernard and Jones (1996) and Nicoletti and Scarpetta (2003). The results in Table 8 show that the evidence of the effects of ICT on MFP growth is mixed and depends on which measure of ICT a”