Power Laws in Economics: An Introduction
By Xavier Gabaix. 2016
379 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/e8f0234277a0fe2a73fa968d6a7342988f664d50
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
- Matthew Greenwood‐Nimmo
- Yongcheol Shin
- Sam Asher
- P. Novosad
- Tomohiro Ando
- Muhammad Shahbaz
- Paresh Kumar Narayan
- Ilhan Ozturk
Citations in the corpus
- Pareto Models, Top Incomes, and Recent Trends in UK Income Inequality (2017, neutral): “My findings are relevant to analysis of other heavytailed distributions such as wealth (Shorrocks et al. 2015, Vermeulen 2014), and city and firm size (Eeckhout 2004; Gabaix 2009, 2016).”
- Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks (2022, background): “In the large majority of cases, the conditional mean estimate of the and Tahbaz-Salehi (2012) and Gabaix (2016), for example.”
- Development Research at High Geographic Resolution: An Analysis of Night-Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform (2021, background): “Economic activity is often highly agglomerated and firm-size distributions are known to follow power laws (Ellison and Glaeser 1997; Gabaix 2016).”