2017
DOI: 10.1016/j.euroecorev.2016.09.008
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Who creates jobs? Econometric modeling and evidence for Austrian firm level data

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Cited by 20 publications
(25 citation statements)
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“…This relationship weakens for continuing firms. Huber et al (2017) and Rijkers et al (2014) find a stronger relationship for all firms, but again less so for continuing firms. Lawless (2014) for Ireland finds that there is no systematic effect of size, once she excludes the smallest firms.…”
Section: Policy Debate and Literature Reviewmentioning
confidence: 87%
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“…This relationship weakens for continuing firms. Huber et al (2017) and Rijkers et al (2014) find a stronger relationship for all firms, but again less so for continuing firms. Lawless (2014) for Ireland finds that there is no systematic effect of size, once she excludes the smallest firms.…”
Section: Policy Debate and Literature Reviewmentioning
confidence: 87%
“…Birch's work has subsequently been criticised for its failure to account for attrition and its ability to differentiate between gross and net flows. Haltiwanger et al (2013) using US Census Bureau data and Huber et al (2017) using Austrian data provide the recent leading studies into net employment growth that challenge the view on small firm employment growth. Both these studies use a current average of employment growth as the dependent variable, rather than logarithmic change to overcome regression to mean effects and enable an integrated approach to entry and exit.…”
Section: Policy Debate and Literature Reviewmentioning
confidence: 99%
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“…Smaller firms are less likely to survive, but exhibit higher growth rates compared to larger firms (Evans, 1987;Dunne andHughes, 1994 or Haltiwanger et al, 2013). For this reason, we follow Huber et al (2017) and Hölzl (2013) who suggest to model firm growth rates by two distinct equations -one for the exit decision and a second for firm growth of surviving firms. The two-part model further allows for a decomposition of the individual contributions of firm exit and survival to the persistence of growth for different sets of high-growth firms.…”
Section: Methodsmentioning
confidence: 99%
“…In order to have a first look at the dynamics of high-growth firms over time, we follow Capasso et al (2013), and Hölzl (2013) and report the estimated transition probabilities that a firm in a given growth category in one period will be located in that or another growth category in the next period. We then model future growth rates for high-growth firms and control firms by means of a two-part model similar to Huber et al (2017) with separate equations for survival and exit (probit regressions) as well as for growth of survivors and growth of exits (linear regressions). We finally use results from the two-part model as input for the decomposition of aggregate growth effects.…”
Section: Introductionmentioning
confidence: 99%