A field guide for gazelle hunters: Small, old firms are unlikely to become high-growth firms

Acs, 2008 Andersson, 2018, The characteristics of family firms: exploiting information on ownership, kinship, and governance using total population data, Small Bus. Econ., 51, 539, 10.1007/s11187-017-9947-6 Åstebro, 2017, Gross, net, and new job creation by entrepreneurs, Journal of Business Venturing Insights, 8, 64, 10.1016/j.jbvi.2017.06.001 Baker, 2005, Creating something from nothing: resource construction through entrepreneurial bricolage, Adm. Sci. Q., 50, 329, 10.2189/asqu.2005.50.3.329 Barron, 1994, A time to grow and a time to die: growth and mortality of credit unions in New York, 1914-1990, Am. J. Sociol., 100, 381, 10.1086/230541 Birch, 1979 Coad, 2009 Coad, 2018, Firm age: a survey, J. Evol. Econ., 28, 13, 10.1007/s00191-016-0486-0 Coad, 2018, Bursting into life: firm growth and growth persistence by age, Small Bus. Econ., 50, 55, 10.1007/s11187-017-9872-8 Coad, 2014, Whom do high-growth firms hire?, Ind. Corp. Change, 23, 293, 10.1093/icc/dtt051 Coad, 2020, Catching Gazelles with a Lasso: big data techniques for the prediction of high-growth firms, Small Bus. Econ., 55, 541, 10.1007/s11187-019-00203-3 Daunfeldt, 2015, Using the Eurostat-OECD definition of high-growth firms: a cautionary note, Journal of Entrepreneurship and Public Policy, 4, 50, 10.1108/JEPP-05-2013-0020 Eurostat-Oecd, 2007 Flachenecker Geurts, 2016, Firm creation and post-entry dynamics of de novo entrants, Int. J. Ind. Organ., 49, 59, 10.1016/j.ijindorg.2016.08.002 Greve, 2018, Show me the data! Improving evidence presentation for publication, Manag. Organ. Rev., 14, 423, 10.1017/mor.2018.18 Grover Goswami, 2019 Guzman, 2016 Haltiwanger, 2013, Who creates jobs? Small versus large versus young, Rev. Econ. Stat., 95, 347, 10.1162/REST_a_00288 Henrekson, 2010, Gazelles as job creators: a survey and interpretation of the evidence, Small Bus. Econ., 35, 227, 10.1007/s11187-009-9172-z Heyman, 2019, Has the Swedish business sector become more entrepreneurial than the U.S. Business sector?, Res. Pol., 48, 1809, 10.1016/j.respol.2019.04.007 Kaiser, 2020, The value of publicly available, textual and non-textual information for startup performance prediction, Journal of Business Venturing Insights, 14, 10.1016/j.jbvi.2020.e00179 Karlsson, 2020, Firm size and growth barriers: a data-driven approach Lundström, 2014, Measuring the costs and coverage of SME and entrepreneurship policy: a pioneering study, Enterpren. Theor. Pract., 38, 941, 10.1111/etap.12037 Mazzucato, 2015, High-growth firms in changing competitive environments: the US pharmaceutical industry (1963 to 2002), Small Bus. Econ., 44, 145, 10.1007/s11187-014-9583-3 Neumark, 2011, Do small businesses create more jobs? New evidence for the United States from the National Establishment Time Series, Rev. Econ. Stat., 93, 16, 10.1162/REST_a_00060 Nightingale, 2014, Muppets and gazelles: ideological and methodological biases in entrepreneurship research, Ind. Corp. Change, 23, 113, 10.1093/icc/dtt057 Press, 2007 Shane, 2009, Why encouraging more people to become entrepreneurs is bad public policy, Small Bus. Econ., 33, 141, 10.1007/s11187-009-9215-5 Storey, 2006, Evaluating SME policies and programmes: technical and political dimensions, 248 Sutton, 1997, Gibrat's legacy, J. Econ. Lit., 35, 40 van Witteloostuijn, 2019, Is firm growth random? A machine learning perspective, Journal of Business Venturing Insights, 11, 10.1016/j.jbvi.2018.e00107 Veugelers Wennberg, 2020, Editorial: enhancing quantitative exploratory entrepreneurship research, J. Bus. Ventur., 35, 105938, 10.1016/j.jbusvent.2019.05.002