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Do Women Directors Move ESG?

University of Edinburgh · Shareholder Value and ESG (CMSE11621) · July 2026

Does greater female board representation improve environmental and social performance? Panel FE plus a California SB 826 quasi-experiment — with a deliberate measurement design that separates real E/S response from mechanical governance inflation.

Snapshot

2,270
Firms
US Refinitiv-rated
18,101
Firm-years
2012–2024 panel
+2.13***
E coefficient
per 1 SD diversity
+1.08***
S coefficient
per 1 SD diversity

Main result — coefficient forest

Firm + year FE · N = 18,101

Effect of lagged board gender diversity (1 SD)

Green points are primary outcomes (E, S). Orange points show composite and governance — largest G coefficient is the mechanical-inflation check.

Points = FE coefficients; whiskers ≈ 95% CI (1.96 × SE). Green = primary outcomes (E, S).

Economic magnitude

Scale

Coefficient as % of pillar mean

E moves more relative to its mean than S; G is shown only for measurement context.

Hypotheses

PredictionResult
H1Diversity ↑ → E, S ↑Supported (both ***)
H2G / composite inflated vs E, SSupported (G largest)
H3If causal, SB 826 raises E, SNot supported (diversity ↑; E/S RF n.s.)

Reading: robust conditional association on E and S; diversity is better read as a marker of stakeholder-oriented firms than a stand-alone causal lever. Lead–lag flags reverse causality; SB 826 first stage is strong while reduced form on E/S is insignificant.

Process

1
Measure
Primary = E & S (not mechanical G)
2
Build panel
Refinitiv + Compustat + CRSP/CCM
3
Estimate
Firm + year FE, clustered SEs
4
Identify
Lead–lag · PSM · SB 826 DiD

Design note

Board gender is an input to the governance pillar. Primary outcomes are E and S only. Composite and G are reported to make mechanical inflation visible — not as the main claim.

Stack

Python / Refinitiv Codebook · WRDS Compustat (SAS) · Stata reghdfe · Typst write-up

Competencies

ESG measurement · panel FE · quasi-experiments · research integrity · Refinitiv/Compustat


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