Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling

55 Pages Posted: 5 May 2021

See all articles by Doug Chung

Doug Chung

University of Texas at Austin - McCombs School of Business; Harvard Business School - Marketing Unit

Byungyeon Kim

University of Minnesota - Twin Cities - Carlson School of Management

Byoung Park

University at Albany (SUNY)

Date Written: April 26, 2021

Abstract

This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic discounting for time preference. It provides identification arguments and sufficient conditions for both time constructs. The data include agents’ work-shift schedules and daily observations in response to a firm’s non-linear compensation structure, in which the final payment depends on the history of performance. By illustrating how various time constructs jointly affect behavior, the study provides implications for designing compensation structure and employee-shift scheduling. Specifically, it disentangles the effects of time constructs to examine the effectiveness of long versus short quota-evaluation cycles, quota-bonus versus commission incentive schemes, and employee-shift scheduling. In addition, the study provides a field validation that compares post-analysis actual and counterfactual outcomes to validate the prediction accuracy of the model.

Keywords: time dependence, period effects, time preference, present bias, hyperbolic discounting, compensation, dynamic structural models, identification

Suggested Citation

Chung, Doug and Kim, Byungyeon and Park, Byoung, Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling (April 26, 2021). Harvard Business School Marketing Unit Working Paper No. 21-120, Harvard Business School Strategy Unit Working Paper No. 21-20, Available at SSRN: https://ssrn.com/abstract=3837675 or http://dx.doi.org/10.2139/ssrn.3837675

Doug Chung (Contact Author)

University of Texas at Austin - McCombs School of Business ( email )

Austin, TX 78712
United States

Harvard Business School - Marketing Unit ( email )

Soldiers Field
Boston, MA 02163
United States

Byungyeon Kim

University of Minnesota - Twin Cities - Carlson School of Management ( email )

Byoung Park

University at Albany (SUNY)

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