Marco Bee

Economics and Econometrics · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 8 citations into it

Whom Marco Bee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jan Eeckhout
2. Moshe Levy
3. Ximing Wu
4. Xavier Gabaix
5. Rustam Ibragimov
6. Jem N. Corcoran
7. Richard Perline

Papers from Marco Bee's perspective

Ordered by how strongly the researchers Marco Bee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modelling Extremal Events for Insurance and Finance
2. Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents
3. Gibrat's Law for (All) Cities: Reply
4. Calculation of maximum entropy densities with application to income distribution
5. Strong, Weak and False Inverse Power Laws
6. Gibrat's Law for (All) Cities: Comment
7. Gibrat's Law for (All) Cities
8. Bandit processes and dynamic allocation indices
9. Density Estimation for Statistics and Data Analysis
10. Human behavior and the principle of least effort

Their papers

• The size distribution of US cities: Not Pareto, even in the tail (2013) — 65 citations