From the Cover: The growth of business firms: Theoretical framework and empirical evidence
By Dongfeng Fu, Fabio Pammolli, Sergey V. Buldyrev, Massimo Riccaboni, K. Matia, K. Yamasaki, H. E. Stanley. 2005
180 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/82d71b5aa23e0d82509369c303a6bb9d6ccfadfc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Andrea Roventini
- Mauro Napoletano
- Giorgio Fagiolo
- Giovanni Dosi
- Xavier Gabaix
- H. Eugene Stanley
- Massimo Riccaboni
- Alexander M. Petersen
Citations in the corpus
- Languages cool as they expand: Allometric scaling and the decreasing need for new words (2012, background): “…107 108 100 101 102 103 104 105 Corpus size, NuHt » UcL V oc ab ul ar y si ze ,N w Ht»U cL 102 103 104 105 106 107 108 109 100 101 102 103 104 105 106 Corpus size, NuHt » UcL V oc ab ul ar y si ze ,N w Ht»U cL 104 105 106 107 108 109 101 102 103 104 105 106 Corpus size, NuHt » UcL V oc ab ul ar y…”
- Power Laws in Economics: An Introduction (2016, background): “See Fu et al. (2005) and Riccaboni et al. (2008). j_gabaix_301.indd 200 1/20/16 7:01 AM Perhaps surprisingly, this type of mechanism, generating power laws from maximum fitness, doesn’t seem to have been much studied in economics.”
- Are output growth-rate distributions fat-tailed? some evidence from OECD countries (2008, background): “…of outliers, autocorrelation 2 Interestingly, similar results were also found for cross-section firm and industry growth rates (see Stanley et al., 1996; Lee et al., 1998; Amaral et al., 1997; Bottazzi and Secchi, 2003a, 2003b; Castaldi and Dosi, 2004; Fu et al., 2005; Sapio and Thoma, 2006).”
- On the size distribution of business firms (2008, background): “…economics of income inequality (Champernowne, 1953), industrial organization (Ijiri and Simon, 1977; Sutton, 1997) and size distribution of cities (Gabaix, 1999; Eeckhout, 2004) of models of proportionate growth that generate Pareto upper tails by assuming some version of a reflective lower bound.”
- Quantitative Analysis of Culture Using Millions of Digitized Books (2010, methodology): “39(1) 10(2) 10(4) 10(6) 10(8) 10 2 10(4) 10(6)”
- FAT-TAIL DISTRIBUTIONS AND BUSINESS-CYCLE MODELS (2013, unknown): “Interestingly, fat-tail output growth-rate distributions emerge also for cross-section data, at the levels of countries [Canning et al. (1998); Lee et al. (1998); Castaldi and Dosi (2009)], industries [Castaldi and Sapio (2008)], and firms [Bottazzi and Secchi (2003); Fu et al. (2005)].”