Size distributions reconsidered
Bibliographic Data
| ID | 19064656 |
|---|---|
| Authors | Christian Schluter (Aix-Marseille Université (Aix Marseille School of Economics), CNRS & EHESS, Marseille Cedex, France, corresponding author), Mark Trede (0000-0003-0560-4244, University of Münster) |
| Year | 2018 |
| Volume | 38 |
| Issue | 6 |
| Pages | 695-710 |
| Publication date | 2018-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Econometric Reviews (JOURNAL) |
| Journal identifiers | ISSN: 0747-4938 • E-ISSN: 1532-4168 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/07474938.2017.1417732 |
| OpenAlex | W2782319618 |
| Language | EN |
| Citations received | 2 |
| References cited | 36 |
We consider tests of the hypothesis that the tail of size distributions decays faster than any power function. These are based on a single parameter that emerges from the Fisher–Tippett limit theorem, and discriminate between leading laws considered in the literature without requiring fully parametric models/specifications. We study the proposed tests taking into account the higher order regular variation of the size distribution that can lead to catastrophic distortions. The theoretical bias corrections realign successfully nominal and empirical test behavior, and inform a sensitivity analysis for practical work. The methods are used in an examination of the size distribution of cities and firms
Econometrics · Empirical distribution function · Mathematical analysis · Parametric statistics · Physics · Statistical hypothesis testing · Statistical physics · Statistics · Complex Systems and Time Series Analysis · Economic theories and models · Economics of Agriculture and Food Markets · Engineering · Mathematics · Applied Mathematics
Power Laws in Economics and Finance
On the Evolution of the Firm Size Distribution
A Brief History of Generative Models for Power Law and Lognormal Distributions
Zipf Distribution of U.S. Firm Sizes
Gibrat's Law for (All) Cities
Rank − 1 / 2
Handbook of Regional and Urban Economics, Volume 4
US city size distribution
Zipf's Law for Cities
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |