Across five decades of variance-partitioning studies of large US firms, who the CEO is explains a minority share of performance variance — typically approximately 15–20% of ROA variance in the conventional multilevel estimates, 11.5% in the best autocorrelation-aware estimate — while year, industry, and stable firm effects jointly explain more.

• supportsreport-derivedSeed report, Key sources table

  “Industry and company effects exceed leadership effects for sales and earnings; leadership share largest for profit margins with lags”

  leadership share of profit variance (Weiner & Mahoney 1981 reanalysis): ~13% (per seed report) (n = 167 large US corporations, 20 years (1946–1965))

  Lieberson, S., O'Connor, J. (1972). Leadership and organizational performance: A study of large corporations. American Sociological Review, 37(2), 117–130. link

• supportsprimary-checkedResults, Model 3 (open-access body via JYX bitstream, primary-checked 2026-07-11)

  “we find a CEO effect of 11.5% (compared to 23.7% in Model 1, which omitted autoregression). This empirically confirms that omitting autocorrelation leads to confounding and in fact inflates the CEO effect.”

  CEO share of ROA variance (autocorrelation-aware multilevel model): 11.5% (n = 28,026 firm-years; 2,407 firms; 5,136 distinct CEOs)

  Rönkkö, M., Maheshwaree, P., Schmidt, J. (2023). The CEO effect and performance variation over time. The Leadership Quarterly, 34(5), 101733. doi:10.1016/j.leaqua.2023.101733

• contextualizesprimary-checkedIntroduction (open-access body via JYX bitstream, primary-checked 2026-07-11)

  “These studies have found that typically approximately 15–20% of a firm’s performance variance can be attributed to the tenures of its different CEOs (Hambrick & Quigley, 2014; Quigley & Graffin, 2017).”

  Rönkkö, M., Maheshwaree, P., Schmidt, J. (2023). The CEO effect and performance variation over time. The Leadership Quarterly, 34(5), 101733. doi:10.1016/j.leaqua.2023.101733

• supportsprimary-checkedAbstract (via PMC7817108)

  “We find little evidence that chief executive officers influence the performance of their firms.”

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

• contradictsreport-derivedSeed report, §Evidence landscape

  “Mackey (2008) argued the CEO effect on corporate-parent performance exceeds industry and firm effects in certain settings”

  Mackey, A. (2008). The effect of CEOs on firm performance. Strategic Management Journal, 29(12), 1357–1367. doi:10.1002/smj.708

• contextualizesreport-derivedSeed report, §Evidence landscape

  “Hambrick and Quigley's (2014) "CEO in context" technique produced 38.5%”

  Hambrick, D., Quigley, T. (2014). Toward more accurate contextualization of the CEO effect on firm performance. Strategic Management Journal, 35(4), 473–491. doi:10.1002/smj.2108

Counter-evidence searched: The report itself supplies the outliers in both directions and they are encoded here: Mackey (2008) as contradicts (CEO effect exceeding industry and firm effects in certain corporate-parent settings) and Hambrick & Quigley's 38.5% CEO-in-context estimate as contextualizes — the latter shown by Rönkkö et al. (2023) to be a lagged-dependent-variable artifact. Even the high outlier remains a minority share of total variance, so the claim survives its strongest challengers.

Conventional CEO-effect estimates (~15–20% of ROA variance) are upper bounds inflated by chance and serial correlation — Fitza's simulations reproduce over 70% of the measured effect from random data — but the size of the inflation is actively disputed, with multilevel re-estimates restoring 21.8% and the autocorrelation-aware adjudication landing at 11.5%.

• supportsreport-derivedSeed report, §Core idea

  “Fitza's simulations on the 1,500 largest U.S. firms (1993–2012) showed that purely random performance data produce an apparent "CEO effect" covering over 70% of what past studies measured, largely because average CEO tenures near four years are too short for luck to wash out.”

  share of measured CEO effect reproducible by pure chance: >70% (per seed report) (n = 1,500 largest US firms, 1993–2012)

  Fitza, M. (2014). The use of variance decomposition in the investigation of CEO effects: How large must the CEO effect be to rule out chance?. Strategic Management Journal, 35(12), 1839–1852. doi:10.1002/smj.2192

• contradictsreport-derivedSeed report, Key sources table

  “Fitza's method overstates chance; adjusted R²/MLM restores a significant CEO effect of 21.8%”

  CEO share of ROA variance (adjusted R²/multilevel re-estimate): 21.8% (per seed report)

  Quigley, T., Graffin, S. (2017). Reaffirming the CEO effect is significant and much larger than chance: A comment on Fitza (2014). Strategic Management Journal, 38(3), 793–801. doi:10.1002/smj.2503

• supportsprimary-checkedAbstract (publisher-deposited JATS via Crossref, doi 10.1002/smj.2597, primary-checked 2026-07-11)

  “if more realistic assumptions of how chance can affect firm performance are made, the effect of CEO leadership is almost indistinguishable from the effect of chance, independent of the estimation methodology”

  Fitza, M. (2017). How much do CEOs really matter? Reaffirming that the CEO effect is mostly due to chance. Strategic Management Journal, 38(3), 802–811. doi:10.1002/smj.2597

• supportsprimary-checkedResults (via PMC7817108); ~600 unique firms, 1970–2015

  “Aside from the single outcome of cash holdings, we find no evidence that CEOs affect the performance of their firms”

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

• contextualizesprimary-checkedAbstract (via JYX repository)

  “Our empirical result shows that the opposite claim positing that the CEO effect is nearly indistinguishable from chance is likewise unwarranted.”

  Rönkkö, M., Maheshwaree, P., Schmidt, J. (2023). The CEO effect and performance variation over time. The Leadership Quarterly, 34(5), 101733. doi:10.1016/j.leaqua.2023.101733

Counter-evidence searched: This claim IS the Fitza (2014, 2017) vs Quigley & Graffin (2017) methodological dispute, held at strength 'contested' deliberately: the direction (naive estimates are upper bounds) is common ground among all parties including Rönkkö et al., but the magnitude of the chance component is unresolved between 'mostly luck' and 21.8%-is-real. Rönkkö et al.'s primary-checked abstract explicitly rejects both extremes.

The claim that the CEO effect on firm performance has increased over recent decades rests on Quigley and Hambrick's 60-year, 18,000+ firm-year variance partitioning, but it does not survive autocorrelation-aware replication as a statistically conclusive trend.

• supportsreport-derivedSeed report, Key sources table

  “The CEO effect increased substantially across the decades studied”

  trend in CEO share of performance variance: substantial increase across decades (per seed report) (n = 60 years, 18,000+ firm-years)

  Quigley, T., Hambrick, D. (2015). Has the "CEO effect" increased in recent decades? A new explanation for the great rise in America's attention to corporate leaders. Strategic Management Journal, 36(6), 821–830. doi:10.1002/smj.2258

• contradictsprimary-checkedResults, Quigley & Hambrick (2015) replication (open-access body via JYX bitstream, primary-checked 2026-07-11)

  “when accounting for autocorrelation in firm performance, we do not find conclusive evidence that the CEO effect has substantially increased over time”

  Rönkkö, M., Maheshwaree, P., Schmidt, J. (2023). The CEO effect and performance variation over time. The Leadership Quarterly, 34(5), 101733. doi:10.1016/j.leaqua.2023.101733

• contextualizesprimary-checkedResults/Discussion (open-access body via JYX bitstream, primary-checked 2026-07-11)

  “This is important because an increasing CEO effect could be used to justify recent increases in attention or compensation being awarded to CEOs, which our result challenges.”

  Rönkkö, M., Maheshwaree, P., Schmidt, J. (2023). The CEO effect and performance variation over time. The Leadership Quarterly, 34(5), 101733. doi:10.1016/j.leaqua.2023.101733

Counter-evidence searched: The contradicting replication is the reason this claim exists and is encoded directly: Rönkkö et al. (2023) find the rise largely not statistically significant once autocorrelation is modeled. The seed report instructs that the rising-effect finding 'should be flagged as contested whenever cited'; strength is set accordingly.

Observers systematically over-credit leaders for organizational outcomes: archival and experimental studies show organizational activities and outcomes being attributed to leadership itself, random success feedback rewrites retrospective assessments of group process, and boards pay CEOs as much for observable luck as for general performance — though the classic romance-of-leadership lab experiment failed a four-study 2021 replication.

• supportsprimary-checkedAbstract (via ERIC EJ318293)

  “The attributional perspective on leadership, which suggests the social construction of organizational realities attributes to leadership the activities and outcomes of organizations, was supported by the results of three archival studies and a series of experimental studies.”

  Meindl, J., Ehrlich, S., Dukerich, J. (1985). The Romance of Leadership. Administrative Science Quarterly, 30(1), 78–102. link

• supportsreport-derivedSeed report, §Evidence landscape

  “Staw (1975) showed the halo runs backward: telling groups they had succeeded (randomly) caused them to retrospectively report better communication, cohesion, and motivation.”

  Staw, B. (1975). Attribution of the "causes" of performance: A general alternative interpretation of cross-sectional research on organizations. Organizational Behavior and Human Performance, 13(3), 414–432. doi:10.1016/0030-5073(75)90060-4

• supportsreport-derivedSeed report, §Evidence landscape

  “CEO pay responds as strongly to a "lucky dollar" (oil prices, exchange rates) as to a general dollar, especially in weakly governed firms.”

  Bertrand, M., Mullainathan, S. (2001). Are CEOs Rewarded for Luck? The Ones Without Principals Are. Quarterly Journal of Economics, 116(3), 901–932. doi:10.1162/00335530152466269

• contradictsprimary-checkedAbstract (via SJSU ScholarWorks record)

  “do not support Meindl and Ehrlich's findings that organizations are viewed more favorably when such outcomes are attributed to leadership”

  Hammond, M., Schyns, B., Lester, G., Clapp-Smith, R., Thomas, J. (2021). The Romance of Leadership: Rekindling the fire through replication of Meindl and Ehrlich. The Leadership Quarterly, 32(6), 101538. doi:10.1016/j.leaqua.2021.101538

Counter-evidence searched: The strongest counter-evidence — Hammond et al.'s (2021) four-study failed replication of the Meindl & Ehrlich lab paradigm — was located, primary-checked, and encoded as contradicts. Downgraded from the report's 'strong' label to moderate because the lab arm of the romance program is now shaky; the archival (Meindl), field-experimental (Staw), and pay-for-luck (Bertrand & Mullainathan) legs stand, but the latter two remain report-derived pending paywall access.

Perceived post-succession improvement is substantially regression to the mean: in English Premier League football, performance improves after mid-season manager dismissals but improves identically in matched no-dismissal control spells, because leaders are replaced at performance troughs from which outcomes mean-revert under any successor.

• supportsprimary-checkedAbstract

  “We find that some managerial changes are successful, while others are counterproductive. On average, performance does not improve following a managerial replacement.”

  average dismissal effect vs matched counterfactual: no significant treatment–control difference (n = English Premier League, seasons 2000/01–2014/15)

  Besters, L., van Ours, J., van Tuijl, M. (2016). Effectiveness of In-Season Manager Changes in English Premier League Football. De Economist, 164(3), 335–356. doi:10.1007/s10645-016-9277-0

• supportsprimary-checkedResults (SpringerLink full text)

  “The results thus show that the improvement in performance after the change in manager (i.e. the treatment group) would also have occurred if the manager would have kept his position.”

  Besters, L., van Ours, J., van Tuijl, M. (2016). Effectiveness of In-Season Manager Changes in English Premier League Football. De Economist, 164(3), 335–356. doi:10.1007/s10645-016-9277-0

• contextualizesreport-derivedSeed report, §Evidence landscape

  “Kahneman and Tversky's regression work supplies the mechanism for succession myths: teams change leaders at performance troughs, mean-revert, and the new leader collects the credit”

  Kahneman, D., Tversky, A. (1973). On the psychology of prediction. Psychological Review, 80(4), 237–251. doi:10.1037/h0034747

Counter-evidence not yet searched.

Exogenous shocks to leader presence — CEO hospitalizations across ~13,000 Danish firms and 105 national-leader deaths in office — show that top leaders have real, causal, nonzero effects on performance, and that the effect is specific to the CEO rather than senior executives generally.

• supportsprimary-checkedAbstract (via University of Copenhagen research portal)

  “First, CEOs have a significant effect on profitability and investment. [...] Third, CEOs are unique: the hospitalization of other senior executives does not have similar effects on the performance.”

  Bennedsen, M., Pérez-González, F., Wolfenzon, D. (2020). Do CEOs Matter? Evidence from Hospitalization Events. Journal of Finance, 75(4), 1877–1911. doi:10.1111/jofi.12897

• supportsreport-derivedSeed report, §Evidence landscape

  “using CEO hospitalizations across ~13,000 Danish firms (1996–2012) as exogenous shocks, found that 10-plus-day CEO absences cut operating ROA by about one percentage point”

  industry-adjusted operating ROA after 10+ day CEO hospitalization: −1 percentage point (per seed report) (n = ~13,000 Danish firms, 1996–2012)

  Bennedsen, M., Pérez-González, F., Wolfenzon, D. (2020). Do CEOs Matter? Evidence from Hospitalization Events. Journal of Finance, 75(4), 1877–1911. doi:10.1111/jofi.12897

• supportsreport-derivedSeed report, §Evidence landscape

  “among 1,108 post-war national leaders, the 105 deaths in office produced measurable growth shifts, concentrated in autocracies where constraints are weak”

  national growth shifts at exogenous leader transitions: measurable, concentrated in autocracies (per seed report) (n = 1,108 national leaders; 105 deaths in office)

  Jones, B., Olken, B. (2005). Do Leaders Matter? National Leadership and Growth Since World War II. Quarterly Journal of Economics, 120(3), 835–864. link

• supportsreport-derivedSeed report, Key sources table

  “Manager fixed effects significantly explain investment, financial, and organizational policy differences; "style" is real and priced”

  Bertrand, M., Schoar, A. (2003). Managing with Style: The Effect of Managers on Firm Policies. Quarterly Journal of Economics, 118(4), 1169–1208. doi:10.1162/003355303322552775

• contextualizesprimary-checkedAbstract (via PMC7817108)

  “We find little evidence that chief executive officers influence the performance of their firms.”

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

Counter-evidence searched: The null results (Berry & Fowler's randomization inference; Fitza's chance simulations) are encoded on the neighboring claims and contextualized here: they test average differentiation among sitting CEOs on annual firm outcomes, while the hospitalization and death designs test presence versus absence — the two are compatible, and the reconciliation (discretion, setting) is its own claim. Bertrand & Schoar's fixed-effects evidence carries known overfitting concerns noted on the source.

Frontline leader effects are large and well identified: replacing a bottom-decile boss with a top-decile one raises a nine-person team's output by more than adding a tenth worker, the average boss is about 1.75 times as productive as the average worker, sports coaches explain roughly 25–30% of within-team variance in runs, points, or goals allowed under the same test that finds almost nothing for CEOs, and principal quality varies significantly across schools.

• supportsprimary-checkedAbstract (NBER w18317)

  “Replacing a boss who is in the lower 10% of boss quality with one who is in the upper 10% of boss quality increases a team's total output by more than would adding one worker to a nine member team.”

  Lazear, E., Shaw, K., Stanton, C. (2015). The Value of Bosses. Journal of Labor Economics, 33(4), 823–861. doi:10.1086/681097

• supportsprimary-checkedAbstract (NBER w18317)

  “A separate normalization implies that the average boss is about 1.75 times as productive as the average worker.”

  average boss productivity relative to average worker: ≈1.75×

  Lazear, E., Shaw, K., Stanton, C. (2015). The Value of Bosses. Journal of Labor Economics, 33(4), 823–861. doi:10.1086/681097

• supportsprimary-checkedAbstract (via PMC7817108)

  “we find clear evidence that sports coaches matter for a wide range of outcomes in football, basketball, baseball, and hockey”

  coach share of within-team variance, headline defensive outcomes (Table 4 Prop values): 25.3–30.0% (NFL points allowed 25.3%; MLB runs allowed 27.7% — text sentence says 28%; NBA points allowed 28.3%; NHL goals allowed 29.8%; CFB points allowed 30.0%; NBA points scored 30.0%)

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

• supportsprimary-checkedResults, MLB (full text via PMC7817108, re-checked 2026-07-11)

  “managers explain 28% of the variation within teams and across seasons in runs allowed”

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

• supportsprimary-checkedResults, NBA and Division 1 men's college basketball (full text via PMC7817108, re-checked 2026-07-11); the paper's text gives no percentage for NFL points — its NFL 'about 30%' sentence concerns fumbles and penalties

  “Coaches explain about 30% of the variation in points scored and allowed.”

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

• supportsprimary-checkedAbstract (NBER w17803)

  “Outcome-based estimates of principal value-added to student achievement reveal significant variation in principal quality that appears to be larger for high-poverty schools.”

  Branch, G., Hanushek, E., Rivkin, S. (2012). Estimating the Effect of Leaders on Public Sector Productivity: The Case of School Principals. NBER Working Paper 17803. doi:10.3386/w17803not peer-reviewed

• contextualizesreport-derivedSeed report, §Where leaders demonstrably move outcomes

  “1 SD principal quality ≈ +0.05 SD achievement across an entire school (larger in high-poverty schools)”

  student achievement per 1 SD of principal quality: +0.05 SD lower bound, estimates to ~0.21 SD (per seed report)

  Grissom, J., Egalite, A., Lindsay, C. (2021). How Principals Affect Students and Schools: A Systematic Synthesis of Two Decades of Research. The Wallace Foundation. linknot peer-reviewed

• contextualizesreport-derivedSeed report, Key sources table

  “Survey-measured people-management skill strongly reduces employee attrition; managers are rewarded for it; but most non-attrition outcomes don't consistently improve”

  Hoffman, M., Tadelis, S. (2021). People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis. Journal of Political Economy, 129(1), 243–285. doi:10.1086/711409

Counter-evidence searched: Bounding evidence found and encoded: Hoffman & Tadelis show the frontline-manager channel is specific (retention) rather than diffuse — most non-attrition outcomes don't consistently move — and Lazear, Shaw & Stanton is a single firm doing routinized, measurable work where boss effects are most detectable. Neither overturns the magnitude claims in their settings.

Leaders with deep domain expertise are associated with better organizational performance — physician-led hospitals rank significantly higher in quality and former all-star players make markedly better NBA coaches — but the flagship designs are cross-sectional or correlational, leaving selection explanations live.

• supportsprimary-checkedAbstract (via PubMed 21802184)

  “The paper finds a strong positive association between the ranked quality of a hospital and whether the CEO is a physician or not (p < 0.001).”

  hospital IHQ quality score, physician-led vs manager-led: +8–9 points ≈ two-thirds SD, p < 0.001 (magnitudes per seed report) (n = 300 CEOs of top-100 US hospitals in three specialties)

  Goodall, A. (2011). Physician-leaders and hospital performance: Is there an association?. Social Science & Medicine, 73(4), 535–539. doi:10.1016/j.socscimed.2011.06.025

• contextualizesprimary-checkedAbstract (via PubMed 21802184)

  “This kind of cross-sectional evidence does not establish that physician-leaders outperform professional managers, but it is consistent with such claims”

  Goodall, A. (2011). Physician-leaders and hospital performance: Is there an association?. Social Science & Medicine, 73(4), 535–539. doi:10.1016/j.socscimed.2011.06.025

• supportsreport-derivedSeed report, Key sources table

  “Former all-star players make markedly better coaches — worth roughly six league-table places”

  NBA league-table places attributable to all-star-player coaches: ≈6 places (per seed report) (n = 219 coach-seasons, 1996–2003)

  Goodall, A., Kahn, L., Oswald, A. (2011). Why do leaders matter? A study of expert knowledge in a superstar setting. Journal of Economic Behavior & Organization, 77(3), 265–284. doi:10.1016/j.jebo.2010.12.016

Counter-evidence not yet searched.

Leader impact scales with discretion: CEO effects are largest in the US and smallest in Japan across matched samples, national leaders' deaths shift growth chiefly in autocracies with weak constraints, and CEO hospitalization effects are larger for younger CEOs in growing, family-controlled, human-capital-intensive firms.

• supportsreport-derivedSeed report, §The chance debate at the top of the house

  “CEO effects are largest in the U.S. and smallest in Japan across matched 100-firm samples”

  Crossland, C., Hambrick, D. (2007). How national systems differ in their constraints on corporate executives: A study of CEO effects in three countries. Strategic Management Journal, 28(8), 767–789. doi:10.1002/smj.610

• supportsreport-derivedSeed report, §The chance debate at the top of the house

  “discretion moderates everything: CEO effects are largest in the U.S. and smallest in Japan across matched 100-firm samples (Crossland & Hambrick 2007), larger in high-discretion national institutions (Crossland & Hambrick 2011)”

  Crossland, C., Hambrick, D. (2011). Differences in managerial discretion across countries: How nation-level institutions affect the degree to which CEOs matter. Strategic Management Journal, 32(8), 797–819. doi:10.1002/smj.913

• supportsprimary-checkedAbstract (via University of Copenhagen research portal)

  “Second, CEO effects are larger for younger CEOs, in growing and family-controlled firms, and in human-capital-intensive industries.”

  Bennedsen, M., Pérez-González, F., Wolfenzon, D. (2020). Do CEOs Matter? Evidence from Hospitalization Events. Journal of Finance, 75(4), 1877–1911. doi:10.1111/jofi.12897

• supportsprimary-checkedAbstract (via PMC7817108)

  “We find significant effects of political leaders, particularly in nondemocracies.”

  Berry, C., Fowler, A. (2021). Leadership or luck? Randomization inference for leader effects in politics, business, and sports. Science Advances, 7(4), eabe3404. doi:10.1126/sciadv.abe3404

• supportsreport-derivedSeed report, Key sources table

  “Exogenous leader transitions shift national growth — but chiefly in autocracies with weak constraints”

  Jones, B., Olken, B. (2005). Do Leaders Matter? National Leadership and Growth Since World War II. Quarterly Journal of Economics, 120(3), 835–864. link

Counter-evidence not yet searched.

The honest managerial framing of 'how much do leaders matter' is a variance decomposition with a chance correction, and taking it seriously redirects leadership investment away from top-of-house attribution toward frontline supervision, expert selection, and system design.

• supportsprimary-checkedAbstract (via JYX repository)

  “a multilevel model that includes autocorrelation can properly gauge CEOs' performance contribution against a changing context while simultaneously avoiding confounding”

  Rönkkö, M., Maheshwaree, P., Schmidt, J. (2023). The CEO effect and performance variation over time. The Leadership Quarterly, 34(5), 101733. doi:10.1016/j.leaqua.2023.101733

• contextualizesprimary-checkedAbstract (NBER w18317)

  “Replacing a boss who is in the lower 10% of boss quality with one who is in the upper 10% of boss quality increases a team's total output by more than would adding one worker to a nine member team.”

  Lazear, E., Shaw, K., Stanton, C. (2015). The Value of Bosses. Journal of Labor Economics, 33(4), 823–861. doi:10.1086/681097

• contextualizesreport-derivedSeed report, Key sources table

  “CEO pay responds as much to a lucky dollar as to a general dollar; worse where governance is weak”

  Bertrand, M., Mullainathan, S. (2001). Are CEOs Rewarded for Luck? The Ones Without Principals Are. Quarterly Journal of Economics, 116(3), 901–932. doi:10.1162/00335530152466269

Counter-evidence not yet searched.