Which firms create the most jobs in developing countries? Evidence from Tunisia

Small business property tax reductions and job growth

“…These authors find that once they control for age, small firm's average growth is lower than that of larger firms, counter to the perception on which the reliefs are based. These findings are robust across institutional frameworks with Rijkers et al (2014) work in Tunisia reaching similar conclusions. Haltiwanger et al (2013) find a very limited positive relationship with size for firms with ten or more employees.…”

“…The output frequently contests the perception that there is an inverse relationship between firm size and net employment growth (Nightingale and Coad 2013). Rijkers et al (2014), Lawless (2014) and Anyadike-Danes et al (2015) attribute this perception to the work of Birch in the late 1970s. Birch's work has subsequently been criticised for its failure to account for attrition and its ability to differentiate between gross and net flows.…”

Who Creates Jobs? Econometric Modeling and Evidence for Austrian Firm Level Data

“…This approach predominantly applies employment-weighted OLS estimation to one-and two-way model specifications for firm size and age dummies (e.g., Burgess, Lane, Stevens 2000;Haltiwanger and Vodopivec 2003;Voulgaris, Papadogonas and Agiomirgianakis 2005) and additionally includes interaction terms of these dummies (see, e.g., Haltiwanger et al 2013a;Decker, Haltiwanger, Jarmin and Miranda 2014;Geurts and Van Biesebroeck 2014). Some recent contributions extend this by including firm size and age as continuous variables (Lawless 2014) and/or augmenting the model with further explanatory variables such as initial firm size, GDP growth, domestic versus foreign ownership, productivity and profitability (Lawless 2014;Rijkers, Arouri, Freund and Nucifora 2014). This paper contributes to both the methodological and empirical micro-econometric literature on net job creation at the firm level.…”

“…With respect to the calculation of comparative statics, the one-part model pools over continuing and exiting firms, while entry is typically controlled for by the inclusion of an age dummy for zero aged firms (see, e.g., Haltiwanger et al 2013a; Rijkers et al 2014). Formally, the marginal effects and counterfactuals are calculated from the predictions…”

Introducing the Tunisia Labor Market Panel Survey 2014

“…Tunisia, like many countries in MENA, suffers from high unemployment, especially among youth (Assaad and Krafft 2016). This is in part due to stagnation in job creation, especially for university graduates and youth, with low firm dynamism contributing to the slow rate of job creation (Rijkers et al 2014). Youth in Tunisia prefer to go through long unemployment spells in order to obtain good jobs, usually in the public sector, rather than settle for mediocre to poor jobs in the informal economy (Stampini and Verdier-Chouchane 2011).…”