The spatial sorting and matching of skills and firms

By Giordano Mion, Paolo Naticchioni. 2009

195 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/57db39d57952c41ffab26a6bdd15d0fd76e6c39f

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

1. Max Nathan
2. Sabine D’Costa
3. Henry G. Overman
4. Gilles Duranton
5. Diego Puga

Citations in the corpus

• The Identification of Agglomeration Economies (2011, unknown): “Mion, G. and P. Naticchioni (2009).”
• The urban wage growth premium: sorting or learning? (2014, background): “Indeed, when Wheeler (2006) includes fixed effects he finds no significant effect of labourmarket size on either between-job orwithin-jobwage growth.”
• Multilevel Approaches and the Firm‐Agglomeration Ambiguity in Economic Growth Studies (2012, unknown): “A similar issue is addressed in the work of Combes et al. (2008) and Mion and Naticchioni (2009) on spatial sorting and spatial wage disparities.”
• What Can Be Learned from Spatial Economics? (2019, unknown): “2 See Glaeser and Maré (2001), Moretti (2012), and Diamond (2016) for the United States; Combes, Duranton, and Gobillon (2008) for France; Mion and Naticchioni (2009) for Italy; and Gibbons, Overman, and Pelkonen (2014) for the United Kingdom.”
• Agglomeration, clusters, and industrial policy (2013, background): “…(see Duranton and Puga (2004) for an overview of theoretical approaches, and empirical work by Melo et al. (2009) and Combes et al. (2008) for the UK, Rosenthal and Strange (2004) for the US, Mion and Naticchioni (2009) for Italy, and De La Roca and Puga (2011) for Spain, among many others).”
• Learning by working in big cities (2017, unknown): “This is good news, because it implies that existing fixed-effects estimates of the static gains from bigger cities are accurate and robust to the existence of important dynamic effects.”
• Marshallian Labour Market Pooling: Evidence From Italy (2013, unknown): “Relative to existing agglomeration findings on Italian data (de Blasio and Di Addario, 2005; Di Addario and Patacchini, 2008; Mion and Naticchioni, 2009), we find slightly higher coefficients, by about one percentage point.10 Overall we take these magnitudes as very close given differences in the…”