Government Procurement Contract Design with Unobservable Productivity and Moral Hazard

Asia-Pacific Journal of Accounting and Economics, forthcoming

34 Pages Posted: 2 Nov 2018 Last revised: 25 Feb 2021

See all articles by Taichi Kimura

Taichi Kimura

Keio University - Graduate School of Business Administration

Takahiro Morimitsu

Meiji University

Date Written: June 18, 2019

Abstract

This study investigates the optimal incentive structure for a government procurement contract in the field of defense. Optimality implies that the government achieves efficient and cost-effective procurement through incentives that encourage the contracting firm to reduce costs in the presence of both moral hazard and adverse selection. To investigate the optimal contract scheme when moral hazard and adverse selection occur simultaneously, we employ a hybrid model of moral hazard and adverse selection. Our analysis shows that a low--powered incentive is optimal when the firm's productivity is unobservable and that the incentive rate is lower in the hybrid case than in the pure moral hazard case. This is because the government must pay informational rent to the firm to ensure that the firm is honest. We also find that the optimal incentive rate increases as the degree of information asymmetry decrease.

Keywords: Government procurement; Cost-based pricing; Cost-plus-incentive-fee contract; Fixed-price contract

JEL Classification: M41, M48, D86

Suggested Citation

Kimura, Taichi and Morimitsu, Takahiro, Government Procurement Contract Design with Unobservable Productivity and Moral Hazard (June 18, 2019). Asia-Pacific Journal of Accounting and Economics, forthcoming, Available at SSRN: https://ssrn.com/abstract=3264603 or http://dx.doi.org/10.2139/ssrn.3264603

Taichi Kimura (Contact Author)

Keio University - Graduate School of Business Administration ( email )

4-1-1 Hiyoshi, Kohoku-ku
Yokohama, 223-8526
Japan

Takahiro Morimitsu

Meiji University ( email )

1-1 Kanda Surugadai
Surugadai, Chiyoda, 101-8301
Japan

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
161
Abstract Views
1,410
Rank
467,092
PlumX Metrics