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INCENTIVE COMPENSATION ARCHITECTURE AND RISK-SHARING EFFICIENCY UNDER UNCERTAINTY: CLASSICAL CONTRACTS AGAINST REAL-TIME PAY

📘 Volume 14 📄 Issue 9 📅 September 2026

👤 Authors

Dr. N Subbukrishna Sastry 1 , Dr. Manjula Mallya M 2
1. Professor, School of Management, CMR University, Bangalore, Karnataka, India., .
2. Associate Professor & Head, Dept. of Economics, Government First Grade College for Women Balmatta Mangalore, Karnataka, India

📄 Abstract

Every incentive contract does two things at once: it motivates effort and it allocates risk. Classical agency theory shows these purposes conflict, because the performance measure on which pay is conditioned contains variation the agent does not control, so sharper incentives buy effort by selling insurance. Pay architectures that set compensation continuously, personally and in real time are now technically feasible, and are widely presented as resolving that conflict. This article evaluates the claim on the single criterion of risk-sharing efficiency. A systematic review of 68 sources is combined with a numerical illustration built on the linear-exponential-normal contracting model, in which a closed-form result is derived and verified: the risk-sharing efficiency of the optimal linear contract, measured as the ratio of attainable joint surplus to the first-best surplus, equals the optimal incentive coefficient itself and takes the value 1/(1 + rcσ²), where r is agent risk aversion, c the curvature of effort cost and σ² the variance of the performance measure. Decomposing σ² into common and idiosyncratic components yields the article's central finding. Raising measurement frequency attenuates only the idiosyncratic term, so in a base case calibrated to a noise burden of 2.0 with a sixty per cent common share, moving from annual to monthly measurement lifts efficiency from 0.333 to 0.441 and infinite frequency cannot exceed 0.455; filtering the common component at merely monthly frequency reaches 0.938. Frequency is nearly irrelevant and filtering is nearly everything. A dynamic architecture that instead passes common variation through to the worker, as demand-linked platform pay does, lowers efficiency below the classical baseline, to 0.278 at a pass-through multiplier of 1.5 and 0.238 at 2.0. The same model implies a prescription reversal: architectures that transmit more common risk should carry a lower variable share, whereas observed real-time systems carry a higher one. The article separates a third mechanism, the acceleration of payment timing through earned wage access, and shows that it is welfare-improving on a liquidity margin while being neutral for risk sharing in the incentive sense. It concludes that dynamic pay improves risk sharing if and only if it improves the signal-to-noise ratio of the effort measure, that technical feasibility does not distinguish the improving case from the destroying one, and that the governance requirement is therefore an ex ante constraint on what a pay algorithm may condition upon rather than an ex post review of its outputs.

🏷️ Keywords

Incentive Compensation; Pay Mix; Risk Sharing; Principal-Agent Model; Informativeness Principle; Algorithmic Pay; Earned Wage Access; Variable Pay; Contract Design; Human Resource Economics

📚 How to Cite:

Dr. N Subbukrishna Sastry, Dr. Manjula Mallya M , INCENTIVE COMPENSATION ARCHITECTURE AND RISK-SHARING EFFICIENCY UNDER UNCERTAINTY: CLASSICAL CONTRACTS AGAINST REAL-TIME PAY , Volume 14 , Issue 9, September 2026, EPRA International Journal of Economic Growth and Environmental Issues (EGEI) , Pages: 13 - 28 ,

🔗 PDF URL

https://cdn.eprapublishing.org/article/1789382410292-2.EPRA 31536.pdf

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