Are Protective Labor Market Institutions at the Root of Unemployment? A Critical Review of the Evidence
By D. Howell, D. Baker, A. Glyn, J. Schmitt. 2007
220 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Health Professions, Public Administration
View Paper: https://www.semanticscholar.org/paper/e59ff0a6a9164443390cb76f789f2da7fe810db4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Andrea Roventini
- Giovanni Dosi
- M. Virgillito
- Marcelo C. Pereira
- Simon Sturn
- Till van Treeck
- Alex Coad
- Giorgio Fagiolo
In General Health Professions
In Public Administration
Citations in the corpus
- The effects of Labour Market Reforms upon Unemployment and Income Inequalities: an agent based model (2018, unknown): “Howell et al. (2007), reviewing the empirical results on the effects of protective labour market policies on unemployment, argue that the evaluation of the effects of PLMI has been biased by a number of factors: (a) the findings were largely theory-driven, discarding a good deal of the empirical…”
- Income inequality as a cause of the Great Recession?: A survey of current debates (2012, background): “1), this view has been challenged in numerous contributions (e.g. Blanchard and Katz, 1997; Fitoussi et al., 2000; Howell et al., 2007; Baccaro and Rei, 2007; Freeman, 2007; Bell and Blanchflower, 2009; Stockhammer and Klär, 2011).”
- When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment (2017, background): “Particularly, Howell et al. (2007), reviewing the findings on the effects of protective labour market policies (PMLI) on unemployment, argue that the evaluation of the effects of PMLI has been biased by a number of factors: (i) the findings were largely theory driven discarding the empirical…”
- Labor Market Regulations: What Do We Know About Their Impacts in Developing Countries? (2014, unknown): “Moreover, the results can be characterized as fragile in the sense that findings are often sensitive to model specification and the treatment of data (Glyn et al. 2004; Howell et al. 2007).”