Dataset

Synthetic Assortative Matching

Synthetic CEO-firm panel with turnover, retirement, poaching, and assortative matching between CEO and firm types.

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Bipartite incidence pattern for Synthetic Assortative Matching

Graph Summary

The graph maps CEOs to `id1` and firms to `id2`.

The primary benchmark graph is built from unique (id1, id2) pairs. The figure shows a binned sparsity pattern of the bipartite incidence block, with both partitions relabeled to contiguous integer identifiers. This block is the off-diagonal part of the corresponding graph Laplacian.

499,155rows
196,245unique edges
126,101id1 levels
94,933id2 levels
33,042components
221,034nodes
CSV ZIP Stata DTA

Variables

Columns in the clean CSV:

id1 id2 year x1 x2 y ceo_type firm_type

The v1 graph uses id1 and id2. Additional identifier-like columns available for richer specifications: year, ceo_type, firm_type.

Source Notes

Generated by synthetic CEO-firm assortative matching scripts included with this collection.

Synthetic panel with firm entry/exit, CEO turnover, retirement, poaching, and assortative matching.

Creation Files

The synthetic data-generating files are included for researchers who want to inspect or adapt the construction.

crData.do create_identifiers.do create_variables.do

Historical Benchmark

2017 SEC benchmark timings for this dataset, in seconds:

MethodCitationSeconds
MAP-Aitken (Guimaraes 2012) 320.6
MAP-SD (Gaure 2013) 108.7
MAP-CG-Sym (Correia 2016) 101.8
MAP+Prune (Correia 2016) 73.6
LSMR (Gomez 2016) 206.6