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We document the effect of two types of aggregation – time-series and cross-sectional – on the relation between executive compensation and two common performance measures: stock market returns and accounting earnings. We find that time-series aggregation for each firm over two and four years strengthens the pay-performance relation relative to that obtained using firm-year observations. These findings are consistent with reduced measurement error from noise in the performance measures or inter-temporal misalignment. In the cross-sectional aggregation, the pay-performance relation is stronger than that documented at the firm-level in prior research but may be affected by implicit relative performance evaluation. When we compare industry-year to industry-pseudo-year cross-sectional aggregation, we find evidence consistent with RPE being use and elimination of noise in the estimation of pay-for-performance sensitivity.
Ana Maria Albuquerque, Boston University
Mary Ellen Carter, Boston College
Bjorn N Jorgensen, london school of economics and political science