Skip to main content

Advertisement

Log in

An international cohort comparison of size effects on job growth

  • Published:
Small Business Economics Aims and scope Submit manuscript

Abstract

The contribution of different-sized businesses to job creation continues to attract policymakers’ attention; however, it has recently been recognised that conclusions about size were confounded with the effect of age. We probe the role of size, controlling for age, by comparing the cohorts of firms born in 1998 over their first decade of life, using variation across half a dozen northern European countries Austria, Finland, Germany, Norway, Sweden and the UK to pin down size effects. We find that a very small proportion of the smallest firms play a crucial role in accounting for cross-country differences in job growth. A closer analysis reveals that the initial size distribution and survival rates do not seem to explain job growth differences between countries, rather it is a small number of rapidly growing firms that are driving this result.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. For a, now slightly dated, summary of different cross-country data sets, see Vale (2006).

  2. Two other OECD studies make cross-country comparisons of (amongst other things) job creation and destruction: the first uses the Amadeus and Orbis databases and excludes firms with less than 20 employees, see (Bassanini and Marianna (2009), pp. 33–35); the second, Schreyer (2000), was organised as a cross-country project involving researchers from six participating countries, the data were compiled from a range of administrative, public and private surveys, in most cases it excluded firms with less than 20 employees and considered only firms which survived the study period (between 3 and 9 years, depending on the country). Moreover, as its ”Methodological Annex” recorded: ”\(\ldots\) major methodological differences remain and the present analysis is faced with the problem of harmonisation and consistency. The results obtained in each country are strongly marked by these differences” (Schreyer (2000), p. 40)

  3. See, for example: Kirchhoff (1994), Phillips and Kirchhoff (1989), and most recently Headd and Kirchhoff (2009).

  4. Cabral and Mata (2003) compared a cohort of Portuguese manufacturing firms at birth and age 7 to provide the empirical foundation for the suggestion that “financial constraints” play a key role in the early growth performance of firms. However, of the many papers which cite Cabral and Mata (2003) and claim to be following their approach, relatively few have analysed cohort data.

  5. They do, however, offer some somewhat speculative remarks about the contrast between US and European growth performance and its connection with size at birth ((Bartelsman et al. (2009), pp. 53–57).

  6. For example Haltiwanger at al draw the following methodological conclusion given the character of business dynamics, “Lumping together all firms of the same age is clearly misleading \(\ldots\)”(Haltiwanger et al. (2009), p.2)

  7. Indeed, the subtitle of his 1987 book was:“how our smallest companies put the most people to work”.

  8. This may also affect Sweden’s firm count: firms in which every employee’s main job is elsewhere would not be included.

  9. For a discussion of the implications of measurement issues in harmonised cross-country data sets see (Bartelsman et al. (2009), pp. 27–32).

  10. We will return to this issue later and look at the size distribution in a little more detail.

  11. An alternative measure of growth over the decade would be the ratio of jobs in 2008 to jobs in all firms in 1998, but this measure confounds survival and growth, which we keep separate here. In any event, the ordering on the alternative growth measure is rather similar.

  12. It might be conjectured that Sweden’s relatively slow growth might be connected to the different measure of employees. Of course, it is not possibly to know, however, to make such a difference to the growth calculation would require not just multiple job holding but increased multiple job holding in cohort98 over the decade.

  13. Moreover, in smaller countries, with relatively few firms born very large, the statistical authorities do not permit publication of data which might allow individual firms to be identified.

  14. Precise definitions and a derivation are provided in the Appendix Sect. 9.1

  15. Austria was chosen after some experimentation with alternative approaches to constructing a cross-country “average”.

  16. A more detailed treatment of the Austrian decomposition is laid out in the Appendix 9.2 and its accompanying table. It displays the size-band detail which evidences some of the comments in the text about the relative importance of different effects.

  17. Remember growth is being measured here as the ratio between average jobs per firm in survivors at birth and in the terminal period, 10 years later.

  18. With the partial exception of Finland where the job numbers are full-time equivalents and so some firms in the 1–4 size-band have, in practice, less than one job.

  19. In Germany, as we saw from Fig. 2, 20+ firms contracted and this produces a negative contribution of equal absolute value to size-band 1–4 growth.

  20. Our data do not allow us to infer whether these firms remained in the same size-band throughout the decade: they may have moved out and moved back, though a priori this does not seem very likely to be a widespread phenomenon.

  21. In Norway, for example, with the greatest mobility, much of the movement out of the birth size-band, much more than in other countries is into the 5–9 and 10–19 size-bands, see Appendix for details.

  22. The influence of HJM is very noticeable in three out of the four 2014 papers we cited earlier, that is Ayyagari et al. (2014), Criscuolo et al. (2014), Lawless (2014) discuss HJM; oddly de Wit and de Kok (2014) does not, perhaps because it ignores the significance of age altogether.

  23. They also add a generalisation which must be regarded as a conjecture since they provide no specific evidence: “Importantly, because new firms tend to be small, the finding of a systematic inverse relationship between firm size and net growth rates in prior analyses is entirely attributable to most new firms being classified in small size classes” (Haltiwanger et al. (2013), p. 348)

  24. The approach adopted by HJM had previously been applied to similar problems: see Evans (1987) and Dunne et al. (1989).

  25. Although the “slope” of the relationship is pretty flat between size 5–9 and size 10–19.

  26. HJM actually use “average” size rather than terminal size, but this is not crucial here.

  27. This figure can be calculated from Appendix Table 9 as the product of \(firmshb\) (column (2) and \(rsrb\) (column(3)).

  28. Whilst Decker et al. (2014) use the term “high-growth” this is not the conventional (OECD) usage (see Anyadike-Danes et al. (2012) for discussion of the high-growth firm definition and its application); indeed, in this context, young and very fast growing, they could be referring to “gazelles”, though not as conventionally defined, see Henrekson and Johansson (2010).

  29. This is a big subject and outside the scope of this paper, however, it is explored in a deliberately provocative way in Shane (2009) and more recently Coad and Nightingale (2014).

  30. There is \(\Delta \hbox {firmsh}^{bs}\) term because, by definition, \(\hbox {firmsh}^{t}\) is equal to \(\hbox {firmsh}^{bs}\).

References

  • Anyadike-Danes, M., Bonner, K., & Hart, M. (2012). Exploring the incidence and spatial distribution of high growth firms in the UK and their contribution to job creation. Working paper 13/05, NESTA.

  • Ayyagari, Meghana, Demirguc-Kunt, Asli, & Maksimovic, Vojislav. (2014). Who creates jobs in developing countries? Small Business Economics, 43, 75–99.

    Article  Google Scholar 

  • Bartelsman, E., Haltiwanger, J., & Scarpetta, S. (2004). Microeconomic evidence of creative destruction in industrial and developing countries. IZA Discussion paper 1374, IZA.

  • Bartelsman, Eric, Haltiwanger, John, & Scarpetta, Stefano. (2009). Measuring and analysing cross-country differences in firm dynamics. In Timothy Dunne, J. Bradford Jensen, & Mark Roberts (Eds.), Producer Dynamics. Chicago: Chicago UP.

    Google Scholar 

  • Bartelsman, E., Scarpetta, S., & Schivardi, F. (2003). Comparative analysis of firm demographics and survival: Micro-level evidence for the OECD countries. OECD Economics Department working papers 348, OECD Economics Department.

  • Bassanini, A., & Marianna, P. (2009). Looking inside the perpetual motion machine: Job and Worker Flows in OECD countries. OECD Social, Employment and Migration Working Papers 95, OECD.

  • Birch, David L. (1979). The Job Generation Process, research report. Cambridge, MA: MIT Program on Neighborhood and Regional Change.

    Google Scholar 

  • Birch, David L. (1987). Job Creation in America. New York: Free Press.

    Google Scholar 

  • Cabral, Luís, & Mata, José. (2003). On the evolution of the firm size distribution: Facts and theory. American Economic Review, 93(4), 1075–1090.

    Article  Google Scholar 

  • Coad, Alex, & Nightingale, Paul. (2014). Muppets and gazelles: Political and methodological biases in entrepreneurship research. Industrial and Corporate Change, 23, 113–143.

    Article  Google Scholar 

  • Criscuolo, C., Gal, P., & Menon, C. (2014). The dynamics of employment growth: New evidence from 18 countries. OECD Science, Technology and Industry Policy Papers 14, OECD.

  • de Wit, Gerrit, & de Kok, Jan. (2014). Small Business Economics. Do small businesses create more jobs? New evidence for Europe, 42, 283–295.

    Google Scholar 

  • Decker, Ryan, Haltiwanger, John, Jarmin, Ron, & Miranda, Javier. (2014). The role of entrepreneurship in US job creation and economic dynamism. Journal of Economic Perspectives, 28, 3–24.

    Article  Google Scholar 

  • Dunne, Timothy, Roberts, Mark, & Samuelson, Larry. (1989). The growth and failure of US manufacturing plants. Quarterly Journal of Economics, 104(4), 671–698.

    Article  Google Scholar 

  • Ericson, Richard, & Pakes, Ariel. (1995). Markov-perfect industry dynamics: A framework for empirical work. The Review of Economic Studies, 62(1), 53–82.

    Article  Google Scholar 

  • EUROSTAT-OECD. (2007). EUROSTAT OECD manual on business demography statistics. Luxembourg: EUROSTAT.

  • Evans, David. (1987). Tests of alternative theories of firm growth. Journal of Political Economy, 95, 657–674.

    Article  Google Scholar 

  • Haltiwanger, John. (2012). Job creation and firm dynamics in the United States. In J. Lerner & S. Stern (Eds.), Innovation Policy and the Economy (Vol. 12). Chicago: Chicago U.P.

    Google Scholar 

  • Haltiwanger, J., Jarmin, R., & Miranda, J. (2009). High growth and failure of young firms. Business Dynamics Statistics Briefing 4, Kauffman Foundation.

  • Haltiwanger, J., Jarmin, R., & Miranda, J. (2013). Who creates jobs? Small vs large vs young. Review of Economics and Statistics, pp. 347–361.

  • Haltiwanger, J., Scarpetta, S., & Schweiger, H. (2006). Assessing job flows across countries: The role of industry, firm size and regulations. Discussion paper 2450, IZA.

  • Haltiwanger, J., Scarpetta, S., & Schweiger, H. (2010). Cross country differences in job reallocation: The role of industry, firm size and regulations. EBRD working paper 116, EBRD.

  • Headd, B. (2010). An analysis of small business and jobs. Research report 359, SBA office of advocacy.

  • Headd, Brian, & Kirchhoff, Bruce. (2009). The growth, decline and survival of small businesses: an exploratory study of life cycles. Journal of Small Business Management, 47, 531–550.

    Article  Google Scholar 

  • Henrekson, M., & Johansson, D. (2010). Gazelles as job creators: a survey and interpretation of the evidence. Small Business Economics, 35(2), 227–244.

    Article  Google Scholar 

  • Hopenhayn, Hugo A. (1992). Entry, exit, and firm dynamics in long run equilibrium. Econometrica, 60(5), 1127–1150.

    Article  Google Scholar 

  • Hurst, E., & Pugsley, B. (2011). What do small businesses do? Brookings papers in economic activity (Vol. Fall, pp. 73–118).

  • Jovanovic, Boyan. (1982). Selection and the evolution of industry. Econometrica, 50(3), 649–670.

    Article  Google Scholar 

  • Kirchhoff, Douglas. (1994). Entrepreneurship and dynamic capitalism. Westport, Connecticut: Praeger.

    Google Scholar 

  • Knaup, A., & Piazza, M. (2007). Who creates jobs? Small versus large versus young. Monthly labor review (pp. 3–10).

  • Lawless, Martina. (2014). Small Business Economics. Age or size? Contributions to job creation, 42, 815–830.

    Google Scholar 

  • Neumark, David, Wall, Brandon, & Zhang, Junfu. (2011). Do small businesses create more jobs? New evidence for the United States from the national establishment time series. The Review of Economics and Statistics, 93(1), 16–29.

    Article  Google Scholar 

  • Phillips, Bruce, & Kirchhoff, Bruce. (1989). Formation, growth and survival: Small firm dynamics in the U.S. economy. Small Business Economics, 1, 65–74.

    Article  Google Scholar 

  • Schreyer, P. (2000). High-growth firms and employment. OECD science, technology and industry working papers 2000/3. Paris: OECD Publishing.

  • Shane, Scott. (2009). Why encouraging more people to become entrepreneurs is bad public policy. Small Business Economics, 33(2), 141–149.

    Article  Google Scholar 

  • Stangler, D., & Kedrosky, P. (2010). Neutralism and entrepreneurship: The structural dynamics of startups, young firms and job creation, research series: Firm formation and economic growth. Kauffman Foundation.

  • Vale, S. (2006). The international comparability of business start-up rates: Final report, mimeo, OECD and ONS.

  • van Wissen, Leo. (2002). Demography of the firm: A useful metaphor? European Journal of Population, 18, 263–279.

    Article  Google Scholar 

Download references

Acknowledgements

Carl Magnus Bjuggren gratefully acknowledges financial support from the Jan Wallander and Tom Hedelius Research Foundation as well as from the Marianne and Marcus Wallenberg Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Anyadike-Danes.

Appendix

Appendix

1.1 A framework for the decomposition of survivor job growth

Firms at birth (in the present case 1998) are denoted by firm\(^{b}\), and jobs at birth by job\(^{b}\), so average firm size (measured by jobs per firm) at birth, avjob\(^{b}\), can be defined as,

$$\begin{aligned} \hbox {avjob}^{b} = \frac{\hbox {job}^{b}}{\hbox {firm}^{b}} \end{aligned}$$
(3)

and we can denote average firm size for each of the four size-bands by avjob\(^{b}_{i}\) where \(i\) runs from 1 to 4.

Let us also define a set of shares, firmsh\(^{b}_{i}\) , where,

$$\begin{aligned} \hbox {firmsh}^{b}_{i} = \frac{\hbox {firm}^{b}_{i}}{\hbox {firm}^{b}} \end{aligned}$$
(4)

(and, of course, \(\sum _{i=1}^{4} \hbox {firmsh}^{b}_{i}=1\))

We can now use the expression for shares to expand the definition of avjob\(^{b}\),

$$\begin{aligned} \hbox {avjob}^{b} = \sum _{i=1}^{4} (\hbox {firmsh}^{b}_{i} \times \hbox {avjob}^{b}_{i}) \end{aligned}$$
(5)

Consider next the firms which survive to the “terminal” period (in the present case 2008) firm\(^{bs}\). The ratio of survivors to all firms at birth is the survival rate, denoted here by \(\delta\),

$$\begin{aligned} \hbox {firm}^{bs}=\delta \times \hbox {firm}^{b} \end{aligned}$$
(6)

We can also define, in a parallel fashion, a survival rate \(\delta _{i}\) for each size-band category and use it to re-write the definition of \(firmsh\) for the survivors,

$$\begin{aligned} \hbox {firmsh}^{bs}_{i} = \frac{\delta _{i}\times \hbox {firm}^{b}_{i}}{\delta \times \hbox {firm}^{b}} \end{aligned}$$
(7)

So we can write the average firm size for survivors at birth, avjob\(^{bs}\), as,

$$\begin{aligned} \hbox {avjob}^{bs} = \sum _{i=1}^{4} (\hbox {firmsh}^{b}_{i}\times \hbox {rsrb}_{i}\times \hbox {avjob}^{bs}_{i}) \end{aligned}$$
(8)

where \(\frac{\delta _{i}}{\delta }\) is the between “relative survival ratio” (rsrb\(_{i}\)).

The survival rate varies within size-bands as well as between size-bands, so we account for this by defining a between “relative survival ratio” effect (\(rsrw_{i}\))— the ratio of the average size at birth of survivors in a size-band to the average size at birth of all firms in that size-band,

$$\begin{aligned} \hbox {rsrw}_{i} = \frac{\hbox {avjob}^{bs}_{i}}{\hbox {avjob}^{b}_{i}} \end{aligned}$$
(9)

Combining these two expressions we can write,

$$\begin{aligned} \hbox {avjob}^{bs} = \sum _{i=1}^{4} (\hbox {firmsh}^{b}_{i}\times \hbox {rsrb}_{i} \times \hbox {rsrw}_{i} \times \hbox {avjob}^{b}_{i}) \end{aligned}$$
(10)

Finally, if we define a growth ratio (growth\(_{i}\)), expressing average firm size in the terminal period (avjob\(^{t}_{i}\)) as a ratio to the average size of survivors at birth,

$$\begin{aligned} \hbox {avjob}^{t}_{i}= \hbox {avjob}^{bs}_{i} \times \hbox {growth}_{i} \end{aligned}$$
(11)

So we can now write,

$$\begin{aligned} \hbox {avjob}^{t} = \sum _{i=1}^{4} (\hbox {avjob}^{b}_{i} \times \hbox {firmsh}^{b}_{i}\times \hbox {rsrb}_{i} \times \hbox {rsrw}_{i} \times \hbox {growth}_{i}) \end{aligned}$$
(12)

by definition,

$$\begin{aligned} \hbox {growth} = \frac{\hbox {avjob}^{t}}{\hbox {avjob}^{bs}} \end{aligned}$$
(13)

so finally,

$$\begin{aligned} \hbox {growth} = \frac{ \sum _{i=1}^{4} (\hbox {avjob}^{b}_{i} \times \hbox {firmsh}^{b}_{i}\times \hbox {rsrb}_{i} \times \hbox {rsrw}_{i} \times \hbox {growth}_{i})}{ \sum _{i=1}^{4} (\hbox {avjob}^{b}_{i} \times \hbox {firmsh}^{b}_{i}\times \hbox {rsrb}_{i} \times \hbox {rsrw}_{i})} \end{aligned}$$
(14)

and this is the expression which appears in the main text (Table 9).

1.2 The decomposition of the Austrian growth ratios

The average job/firm at birth, for survivors at birth, and survivors at age 10 can be written as the sum of weighted average jobs/firm (\(wavjob\)) overs size-bands. So the difference between birth, survivors at birth and survivors at age 10 can be written as differences in the weighted average terms. As we can see from Table 3 of the paper, the first pair of differences depend on the effect of the two relative survival rates, whilst the second pair depend only on relative growth rates.

In general,

$$\begin{aligned} \Delta (a\times b) \equiv \Delta a \times b + \Delta b \times a + \Delta a \times \Delta b \end{aligned}$$
(15)

Using Eq. (1), we can calculate the difference—wavjob\(^{bs}\) less wavjob\(^{b}\)—as the sum of terms (by size-band) involving: \(\Delta \hbox {avjob}^{b}\) (avjob\(^{bs}\) less avjob\(^{b}\)) and \(\Delta \hbox {firmsh}^{b}\) (firmsh\(^{bs}\) less firmsh\(^{b}\)). The results of this calculation are shown in panel (a) of the table. Similarly, we can calculate the difference—wavjob\(^{t}\) less wavjob\(^{bs}\)—as the sum of terms (by size-band) involving: \(\Delta \hbox {avjob}^{bs}\) (avjob\(^{bs}\) less avjob\(^{b}\)).Footnote 30 The results of this calculation are shown in panel (b) of the table.

Although the interpretation of the results in panel (a) of the table is complicated by the fact that some entries are positive and others negative, nevertheless the overall pattern seems quite clear. The effects of the “between” survival ratio—which drives the difference in column (2)—is considerably more important than the effects of the “within” survival ratio in column (1). Indeed, the only figure of any size in column (1) is that for the smallest size-band and, remember from Table 4 in the paper, this is the only “within” ratio of any size). The interpretation of the results in panel (b) is more straightforward since we only have the growth terms to consider, and the finding is very clear-cut: it is the growth rate of the 1–4 size-band which has very much the largest effect (Table 10).

1.3 The decomposition of the size-band 1–4 growth ratio

The strategy here follows along similar lines, as the “principal decomposition”, using where possible the same notation. Since all the firms and jobs being referred to here originate from the 1–4 size-band this subscript has been suppressed, and since we are now concerned only with 2008 survivors, by definition, the stock of firms at birth and in 2008 is the same, so the “survivor” superscript (\(bs\)) is no longer necessary. However, we do need to distinguish size-bands at birth from size-bands in 2008, these will be denoted by \(b\) for birth and \(t\) for 2008.

Let us define a set of shares which record the proportions of surviving firms from size-band 1–4 in each “destination” size-band (\(i\)), mob\(_{i}\) , where,

$$\begin{aligned} \hbox {mob}_{i} = \frac{\hbox {firm}^{t}_{i}}{\hbox {firm}^{t}} \end{aligned}$$
(16)

(and, of course, \(\sum _{i=1}^{4} \hbox {mob}_{i}=1\))

We can now use the expression for shares to expand the definition of avjob\(^{t}\),

$$\begin{aligned} \hbox {avjob}^{t} = \sum _{i=1}^{4} (\hbox {mob}_{i} \times \hbox {avjob}^{t}_{i}) \end{aligned}$$
(17)

We are interested in the growth of firms, so we can divide by size at birth (\(\hbox {avjob}^{b}\)),

$$\begin{aligned} \frac{\hbox {avjob}^{t}}{\hbox {avjob}^{b}} = \sum _{i=1}^{4}\frac{ (\hbox {mob}_{i} \times \hbox{avjob}^{t}_{i}}{\hbox{avjob}^{b}}) \end{aligned}$$
(18)

Now expanding the denominator on the right hand side we can re-write the expression as,

$$\begin{aligned} \frac{\hbox {avjob}^{t}}{\hbox {avjob}^{b}} = \sum _{i=1}^{4} \left( \hbox {mob}_{i} \times \frac{\hbox {avjob}^{t}_{i}}{\hbox {avjob}^{b}_{i}} \times \frac{\hbox {avjob}^{b}_{i}}{\hbox {avjob}^{b}}\right) \end{aligned}$$
(19)

The second term on the right hand side is the ratio of avjob in 2008 to avjob at birth for a destination size-band, so it can be interpreted as the size-band-specific growth rate gr\(_{i}\). The third term is the ratio of avjob for firms in a destination size-band to the average size of 1–4 size-band firms at birth, so it is a variety of “selection” effect, denoted sel\(_{i}\). So we have,

$$\begin{aligned} \hbox {gr}_{i}=\frac{\hbox {avjob}^{t}_{i}}{\hbox {avjob}^{b}_{i}} \end{aligned}$$
(20)

and,

$$\begin{aligned} \hbox {sel}_{i}=\frac{\hbox {avjob}^{b}_{i}}{\hbox {avjob}^{b}} \end{aligned}$$
(21)

Now re-writing the expression,

$$\begin{aligned} \frac{\hbox {avjob}^{t}}{\hbox {avjob}^{b}} = \sum _{i=1}^{4} (\hbox {mob}_{i} \times \hbox {gr}_{i} \times \hbox {sel}_{i}) \end{aligned}$$
(22)

and this is the expression which appears in the main text (Table 11).

Table 9 Job growth decomposition: birth to 2008, Austria, Finland, Germany, Norway, Sweden and UK
Table 10 The decomposition of the Austrian growth ratios
Table 11 Austria, Finland, Germany, Norway, Sweden and UK: contributions of 1–4 size-band at birth to job growth ratio by destination (2008) size-band

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anyadike-Danes, M., Bjuggren, CM., Gottschalk, S. et al. An international cohort comparison of size effects on job growth. Small Bus Econ 44, 821–844 (2015). https://doi.org/10.1007/s11187-014-9622-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11187-014-9622-0

Keywords

JEL Classifications

Navigation