A Closer Look at Serial Growth Rate Correlation
By Alex Coad. 2006
208 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/402929be8f4acaaa51c75969d38fc739de43c505
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Sven-Olov Daunfeldt
- Ross Brown
- Werner Hölzl
- Daniel Halvarsson
- Dan Johansson
- Colin Mason
- Rekha Rao
- F. Quatraro
In Economics and Econometrics
- Alex Coad
- Sven-Olov Daunfeldt
- Werner Hölzl
- F. Quatraro
- Daniel Halvarsson
- Alessandra Colombelli
- Jackie Krafft
- Ross Brown
Citations in the corpus
- High-growth firms: Introduction to the special section (2014, methodology): “Coad (2007) and Coad and Hölzl (2009) used quantile regression techniques to analyze whether persistence was affected by firm size and firm growth.”
- High-growth firms and technological knowledge: do gazelles follow exploration or exploitation strategies? (2014, background): “In the recent years the analysis of such topic gained momentum, with particular attention to the distributional properties of firms’ growth rates, as well as to their persistence over time and to the investigation of their determinants (Bottazzi and Secchi, 2006; Coad, 2007; Coad and Hölzl, 2011, Pa”
- Innovation and firm growth in high-tech sectors: A quantile regression approach (2008, unknown): “More on quantile regression techniques can be found in the surveys by Buchinsky (1998) and Koenker and Hallock (2001); for applications see Coad (2006) and also the special issue of Empirical Economics (Vol. 26 (3), 2001).”
- Myth-busting and entrepreneurship policy: the case of high growth firms (2017, background): “While studies have found a link between employment growth and turnover growth measures (Coad 2007), others find that different definitions and measures identify different groups of firms (Daunfeldt, Elert, and Johansson 2014), which potentially has significant implications for policy development.”
- Firm growth and barriers to growth among small firms in India (2012, background): “17 Incidentally, this lends some support to the assumption of an exponential distribution of firm age in the model of the firm size distribution in Coad (2009). In this model, the lognormal distribution of firm size obtained from a Gibrat process is mixed with an exponential firm age distribution to”
- Are high-growth firms one-hit wonders? Evidence from Sweden (2015, methodology): “Coad (2007) also found negative autocorrelation in growth for small and especially medium-sized HGFs, whereas larger firms showed none (or positive) autocorrelation.”
- Firm Growth : a Survey (2007, unknown): “Second, Coad (2006b) demonstrates that the autocorrelation coefficient depends on the growth rate.”
- Innovation and market value: a quantile regression analysis (2006, methodology): “For a more detailed discussion of how to measure firm-level innovative activity, and why we generate this ‘innovativeness’ indicator, see Coad and Rao (2006). (2)We would like to thank Bronwyn Hall for providing us with her calculations of Tobin’s q for the Compustat data used in this paper.”
- Corporate growth and industrial dynamics: evidence from French manufacturing (2005, background): “10 For a more detailed analysis of growth rates autocorrelation, see Coad ( 2007b ).”
- Testing the Principle of "Growth of the Fitter": The Relationship between Profits and Firm Growth (2005, background): “What is perhaps more worrying is that the simplifying 1See Coad (2006) for evidence and a discussion of firm growth rate autocorrelation.”
- Firm Growth: Empirical Analysis (2010, unknown): “The review of the evidence suggests that innovation success is the driver of growth, not the fact that firms invest in R&D (Coad and Rao, 2008; Hölzl, 2009). The micro-evidence by Bars, Boiteux, Clerc-Girard, and Janczak (2006) who study high growth SMEs in the Lorraine region show that high growth ”
- On the Autocorrelation of Growth Rates (2009, methodology): “The substantial heterogeneity of findings is even more evident in studies that use annual data (Coad 2007).”